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10 brand fails for CRGC vendors. Why cybersecurity branding mistakes get expensive fast

10 CRGC brand fails thumb

Two things can be true at once. Cybersecurity, risk, governance and compliance is still a growth market, and many brands in it still look like they were assembled during a legal review. Gartner says end-user security spending is projected to reach $240 billion in 2026, up from $213 billion in 2025. Sophos meanwhile says 95% of organisations do not fully trust their cybersecurity vendors. That is the commercial context for cybersecurity branding mistakes: more budget in play, less automatic belief.

At The Rubicon Agency, we keep seeing the same error dressed up in different clothes. Security brands talk as if seriousness is the same thing as sameness. It is not. In CRGC, buyers expect discipline, clarity and proof, but they do not reward vendors for sounding interchangeable. The category has narrower creative guardrails than AI, health-tech, edtech or mainstream SaaS, yes, but those constraints should sharpen brand thinking, not choke it. That is the broader argument running through our Cybersecurity brand strategy guide <internal link>.

This is where the fails begin. Not because teams ignore brand altogether, but because they treat brand as varnish rather than system. In cloud or SaaS, a fuzzy story can sometimes limp along behind a strong product demo. In CRGC, fuzziness reads differently. It can look like immaturity, overclaiming or operational drift, all of which make already cautious buyers even more cautious. That tension also sits behind how we frame the category on our cybersecurity marketing agency page.

Cybersecurity branding mistakes

A CRGC brand fail is not just a weak logo or forgettable homepage. It is the point where the market cannot easily tell what the company is, how its products fit together, what promise it is making and whether that promise feels credible enough to survive scrutiny from security leaders, procurement, legal and the board.

Because CRGC vendors sell confidence under pressure. AI brands can trade on possibility. SaaS brands can trade on speed or convenience. Security, risk and compliance brands have to show competence without drowning in jargon, urgency without sounding hysterical and ambition without looking careless. The margin for narrative error is smaller.

That is why this article sits slightly differently from Cybersecurity lookbook: 50 example brands. The lookbook shows what stronger market expression can look like. This piece is about the habits that produce the opposite result.

The first fail is naming. Not naming badly in a poetic sense, but naming like a committee that mistook internal architecture for buyer logic. Product lines inherit acquisition names, platform descriptors and category clichés until the portfolio reads like an org chart with a gloss finish.

The immediate damage is confusion. Sellers waste time explaining what belongs to the company, what belongs to the platform and what is merely a module wearing a cape. The mid-term damage is weaker recall because no single naming system compounds in memory. The long-term damage is commercial: if buyers cannot easily retell your structure, they struggle to champion you internally.

Trellix is a useful reminder that naming is never just a naming exercise in this category. The company emerged from the combination of McAfee Enterprise and FireEye, then had to manage the knock-on effects across products, identity and market meaning. That is what naming looks like when it stops being a workshop topic and becomes a trust issue.

This is also why architecture matters more than cleverness. The strategic fix sits upstream in the logic set out in Cybersecurity brand strategy guide, not in a last-minute search for a snappier label.

The second fail is easier to spot because the whole category keeps doing it. The vendor positions itself through dread. Every threat is existential. Every board is asleep at the wheel. Every attack path is a countdown clock with a glossy background.

We have said this elsewhere and we will say it again: fear is easy, judgement is harder. The market does not need more vendors yelling that danger exists. Buyers know that already. They need help making better decisions about consequence, trade-off and action. Brands that default to panic rarely become trusted guides. They become background noise. That is exactly why the argument in rise above the FUD still matters.

A lot of CRGC messaging fails because it tries to sound expert rather than be understood. Acronyms pile up. Features arrive before the problem is even framed. The homepage opens like a transcript from a technical breakout session that should have remained a breakout session.

This matters more now because the buying group is broader and more political than many vendors admit. Our product marketing thinking gets close to the truth: complex propositions have to work at several levels, from what the offer is to what it enables and what it achieves. In security, that means the message has to survive contact with practitioners, executives and everyone in between.

The immediate damage is comprehension drag. The mid-term damage is slower sales cycles because every audience needs translation. The long-term damage is that the brand becomes known for technical density rather than strategic clarity. This is where proposition development earns its keep, because a value proposition should organise complexity, not perform it.

You know the look. Dark background. Neon gradient. Hexagons, shields, threat-map lines, floating padlocks, maybe a wireframe globe if someone is feeling adventurous. None of those devices is illegal. They just stop working when everyone reaches for the same drawer.

The immediate damage is low distinctiveness. Your brand disappears in analyst decks, event halls and tab-heavy browser sessions. The mid-term damage is memory failure, because people remember categories in patterns and brands in contrast. The long-term damage is harsher: once the visual layer feels generic, buyers start to assume the strategic layer may be generic too.

This is where security differs from some AI or edtech brands. Those categories can often buy attention with novelty alone. CRGC cannot. It needs recognisability without gimmickry and seriousness without funeral aesthetics. If you want to see where that balance is being handled better, see Cybersecurity lookbook: 50 example brands. The underlying point is the same one we make in 5 step brand identity strategy: identity should carry strategy, not decorate it.

A lot of CRGC vendors talk about category position as if it is decided after the brand work is done. It is not. Domain strategy, in the strategic sense, is about the territory a company chooses to occupy in the market: the problem space it claims, the segment it wants to be known in and the language frame it trains buyers to use when they talk about it.

This is where plenty of brands get into trouble. They drift into a domain that is too broad to be credible, too narrow to support growth or too crowded to sustain distinction. A compliance vendor starts talking like a cyber platform. A security operations company stretches into digital trust before the market believes it has earned the right. A governance player uses infrastructure language because it sounds bigger, then wonders why the wrong buyers keep turning up.

The immediate damage is muddled perception. Buyers struggle to place the company, which means they struggle to prioritise it. The mid-term damage is weaker pipeline quality because the brand attracts interest from people who like the story but are not really in the market for the offer. The long-term damage is harsher: the company gets trapped between categories, too blurry to lead one and too miscast to win cleanly in another.

This one is endemic to CRGC because the category loves acquisitions, adjacencies and platform narratives. Fine. Markets consolidate. Portfolios evolve. But buyers still need to know what sits where, what is core, what is optional and why the whole offer belongs together.

Kaspersky reported in 2025 that multi-vendor ecosystems are the norm and that stack complexity is creating operational and financial strain. In a market already trying to reduce tool sprawl, brands that add story sprawl are making life worse, not better.

Broadcom and its Symantec CBX move makes the broader point. Portfolio coherence is not optional in security. It is part of the product truth buyers are assessing. Poor architecture creates confusion first, then attach-rate drag, then a nagging suspicion that the platform story is mostly internal optimism.

Some CRGC vendors, perhaps embarrassed by all the technical heaviness around them, reach for lofty purpose language instead. They want to protect the future, secure human progress or make the digital world safer for everyone. Admirable sentiment. Thin strategy.

Purpose only helps when it has operating proof behind it. If the brand’s rhetoric is not clearly tied to product priorities, support experience, disclosure posture and evidence of maturity, buyers will file it under theatre. In health-tech you can sometimes get more emotional permission to lead with mission. In cybersecurity and compliance, the market wants the mission to survive contact with the mechanism.

This is the fail that marketing teams often mistake for completeness. They list capabilities, integrations, dashboards, detections, automations and certifications, then call it a proposition. That is not a proposition. It is inventory wearing business clothes.

The Rubicon Agency’s proposition development approach is more useful here because it frames the job as creating crisp, delineated messages that guide all marketing. In CRGC, the value proposition has to explain the downstream consequence of choosing you. What gets simpler, safer, faster, less exposed, less fragmented or easier to defend internally because your company exists? That is the job.

The reason this matters so much is trust. Sophos found in 2026 that organisations place growing weight on transparency, validation and operational maturity. That means the proposition cannot stop at saying the product works. It has to help buyers believe the company behind the product will hold up under pressure.

Microsoft said the faulty CrowdStrike update in July 2024 affected 8.5 million Windows devices. The point is not that one incident cancels one brand. It is that in cybersecurity, market promises are always being tested by operational reality. A vendor whose story is built only on feature superiority has very little narrative resilience when something goes wrong.

Risk, governance and compliance vendors are especially vulnerable to this fail. The language becomes so careful, caveated and policy-bound that the brand stops expressing any meaningful point of view. Everything sounds responsible. Nothing sounds memorable.

The defence is obvious. These are regulated, scrutinised categories. No one wants to sound cavalier. Fair enough. But compliance is table stakes, not identity. The immediate damage of over-correcting is blandness. The mid-term damage is reduced preference because serious buyers still need a reason to care which safe pair of hands they are choosing. The long-term damage is commoditisation dressed up as caution.

The final fail is procedural, which is partly why it causes so much damage. Teams treat the rebrand or repositioning as a launch event. New identity. Updated site. Revised deck. A bit of internal fanfare. Then governance quietly falls down a stairwell.

That approach rarely survives in CRGC because the category keeps moving. Product lines evolve. Acquisitions arrive. Partnerships shift. New solution pages appear. Without active governance, the brand starts to fray almost immediately. One naming exception becomes three. One legacy microsite becomes six. Before long, the market is looking at a pile of claims rather than a governed system.

This is why brand strategy matters far more than most design-led rebrand conversations admit. The Rubicon Agency’s own brand strategy and cybersecurity marketing agency pages both point to the same underlying truth: in crowded and credibility-sensitive markets, trust, clarity and coherence are not nice additions to performance marketing. They are part of the growth mechanism.

CRGC brands do better

They make harder choices earlier. They decide what the company brand is for and what the product architecture is for. They write for mixed buying groups rather than a room full of insiders. They build visual systems that are recognisable without cosplaying a threat dashboard. They choose a market domain they can genuinely own. They govern the whole thing after launch.

That is why this article works best alongside the other two cluster pieces rather than instead of them. The cybersecurity brand strategy guide goes deeper on the system. Cybersecurity lookbook: 50 example brands gives you a sharper feel for the market patterns, and the brands that resist them.

There is a lazy defence that security brands all look and sound similar because the category forces them to. We do not buy it. The category constrains some choices, yes. But most of the damage above does not come from constraint. It comes from abdication.

The real risk for CRGC vendors is not that the brand lacks fireworks. It is that the story, structure and proof no longer line up tightly enough for the market to trust what it is being asked to believe. In a sector where spending keeps rising and trust remains stubbornly fragile, that gap does not stay cosmetic for long. It turns into pipeline drag, slower consensus and a weaker right to win.

By The Rubicon Agency

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SaaS brand audit: how to assess brand strategy without committee fog

Marketers carrying out Brand audit

TrustRadius called 2024 “the year of the brand crisis” in B2B tech. That diagnosis has only become more awkward since. In software markets where buyers shortlist familiar names before they ever fill in a form, a SaaS brand audit is not a cosmetic exercise. It is a strategic check on whether your brand is memorable, credible and commercially useful enough to earn a place in the buyer’s mind before the buying window opens.

We see plenty of SaaS teams treat brand assessment as a polite prelude to design work. New website, fresher deck, tighter strapline, job done. Usually not. TrustRadius found that 78% of buyers building shortlists selected products they had heard of before starting research, rising to 86% among enterprise buyers, and its 2025 follow-up still showed most buyers already know the winner before the real comparison starts.

That matters even more in software because the buying process is crowded and political. Google and Bain put the average B2B buying committee at 17 cross-functional stakeholders, while Jenni Romaniuk’s work at Ehrenberg-Bass keeps pointing to the same uncomfortable truth: brands grow when they are easy to think of in buying situations and easy to buy when the moment comes.

A serious SaaS brand audit starts from one question: what is this brand making easier, harder, clearer or riskier in the pursuit of growth? Not whether leadership is bored of the logo. Not whether the homepage feels a bit tired. Growth friction is the real object of study.

That means assessing the brand across strategy, message, memory, proof and experience. In SaaS, the issue is rarely one broken thing. More often the brand is directionally sensible but generically expressed. It sounds plausible in the boardroom, then forgettable in market. Buyers can understand it, but they do not retain it. Sales can repeat it, but cannot defend margin with it.

Step Core question Main output Who needs to be involved
1 What does the market currently see, believe and remember? Evidence-led current state Brand owner, product marketing, sales, strategic lead
2 Which elements are strong, weak or generic? Scored diagnostic Small scoring group only
3 What does the brand need to become true for next? Intent positioning by element Leadership after the evidence is set
4 What must change in story, proof and expression? Prioritised roadmap

A SaaS brand audit should measure how clearly the brand is positioned, how distinctively it is expressed, how well it maps to buying situations, how credibly it proves its claims and how consistently the promise survives across touchpoints. In other words, it should test strategic clarity, mental availability and commercial usefulness, not just visual neatness, which is exactly where Ehrenberg-Bass and Bain’s Elements of Value become useful lenses.

Element What you are assessing Typical evidence
Category role What market are we really in, and what job are we claiming to do? Category map, competitor set, analyst and review language
Audience fit Does the story work for buyer, user, technical evaluator and budget holder? Interviews, sales calls, win-loss notes, deck variants
Positioning Is the value proposition specific, ownable and commercially relevant? Homepage, pitch deck, comparison pages, analyst framing
Message system Can the core idea travel from corporate story to product, use case and proof? Messaging docs, web IA, campaigns, enablement
Distinctive assets Are visual and verbal cues recognisable enough to trigger memory? Identity system, ad creative, events, social language
Proof and trust Do claims feel earned, evidenced and low-risk? Reviews, case studies, analyst quotes, ROI proof, trials
Experience consistency Does the promise hold up from first impression to demo to onboarding? UX, nurture flows, demo narrative, customer feedback

That distinction matters, and it is why brand strategy work should sit upstream of identity debates. If the problem is the market story rather than the logo, the real fix is usually proposition development. 

Marketing scorecard

Most brand audits go soft at the scoring stage. Everyone agrees there are issues. Nobody wants to put a number on them. Then the loudest person in the room starts grading with their feelings and the whole thing turns into internal theatre.

Score the current brand in two passes. First, assign a current-state score using evidence only. Second, assign an evidence-confidence rating so the team can see where it is relying on proof and where it is relying on hunches. Leadership can debate what to do next, but it should not rewrite the diagnosis before the evidence is on the table, which is consistent with the evidence-led discipline behind Ehrenberg-Bass thinking on category entry points.

Score Meaning
1 Confused, inconsistent or absent
2 Present, but weak and generic
3 Credible, but not yet distinctive
4 Clear, differentiated and repeatable
5 Strong, memorable and well evidenced

Add an evidence-confidence grade as well

Confidence Meaning
A Strong external and internal evidence agree
B Some evidence exists, but gaps remain
C Mostly opinion or incomplete evidence

This is where discipline matters. Customer interviews, win-loss analysis, review-site language, search behaviour and sales objections all outrank executive instinct. Internal views still matter, but mainly because they reveal where the intended brand and the enacted brand have drifted apart.

We would also keep the scoring group deliberately small for the first pass. Usually that means the brand owner, the product marketing lead, a revenue stakeholder and one independent strategic lead. Wider leadership can and should join later, but only after the baseline is set. Otherwise the exercise gets diluted before it gets useful.

Saas brand marketing wish list

Once the current state is scored, the next job is to define the intended state. This is where many SaaS teams become unintentionally grandiose. Every dimension suddenly wants to be a five. Every message wants to sound category-defining. Every visual system wants to look iconic by Friday. That is not positioning. That is overcompensation.

Set intent positioning by asking what the brand needs to become true for over the next 12 to 18 months, given the category, the product roadmap, the commercial model and the buyer’s risk profile. The target state should be ambitious, but still supportable by proof, product reality and the kinds of memory structures the market can plausibly form, which is why category entry point thinking is so useful here.

A few questions make the exercise sharper:

  • Which buying situations do we need to come to mind for more reliably?
  • What must the brand be famous for, not merely capable of saying?
  • Which claims can we evidence now, and which belong to the roadmap rather than today’s message?
  • Where do we need to sound closer to category language, and where do we need to break from it?
  • Which assets or phrases deserve disproportionate consistency because they help memory rather than just expression?

In practice, that means defining a target score for each element, then writing the strategic reason for the gap. If positioning is currently a 2 because it sounds like everyone else in the category, the real target may be a 4 rather than a mythical 5. If proof is a 1 because the category is high-risk and your validation is thin, that may become the priority ahead of identity work.

This is where companion content helps. The audit tells you what must change. The SaaS brand strategy guide should explain where the brand is heading, while the SaaS brand lookbook can show how category expression helps or hinders that ambition once both pieces are live. The brand strategy continuum is the more useful mental model here anyway. In software brands, change is usually cumulative, not ceremonial.

A strong audit will often produce an uncomfortable result. It may show that the brand is too broad, too technical, too safe, too feature-led or simply too familiar in the wrong ways. If the business is about to raise, move upmarket, enter a new category or consolidate a portfolio, that discomfort is usually the point.

The Rubicon Agency’s own brand strategy work is explicit about this. Brand clarification, elevation, differentiation and repositioning often happen around fundraising, restructuring or strategic change, which is precisely when vague thinking gets expensive.

It also helps to remember that supposedly rational B2B decisions are not purely rational at all. Bain’s Elements of Value work is useful here because it reminds us that buyers and stakeholders still care about risk reduction, confidence, reputation and future fit, even inside formal procurement. That is why the audit has to be socialised across leadership, sales and product, but not crowd-authored into mush.

We would normally separate the conversations into three passes: validate the diagnosis, debate the intended position, then agree the implications for product, sales, marketing and leadership behaviour. If you collapse all three into one workshop, you do not get alignment. You get compromise.

This is one reason a third party is worth considering, especially when the audit might end in a significant clarification, elevation or repositioning. The same team that built the current story is rarely the best team to score it with perfect detachment. That is not a character flaw. It is just how organisations work.

An independent adviser can hold the line between evidence and preference. They can challenge category assumptions, separate signal from anecdote, spot where founder narrative is overpowering buyer reality and say, without internal baggage, that a cherished message is now dead weight.

That does not mean parachuting in to impose a house view. It means bringing a disciplined outside lens, then helping leadership socialise the implications without watering them down. That is the role we would expect from an adviser such as The Rubicon Agency: evidence first, category understanding second, creative expression third. In practice it often connects brand strategy, proposition development and the change-management work needed to make the new position usable rather than merely presentable.

The Nextira case study is a good example. Discovery and positioning workshops were used to reshape the name, message stack and identity around a more progressive future buyer, not to politely preserve the comfort of the old story.

Marketers creating SaaS brand roadmap

A good audit produces a roadmap, not a moodboard. Once the current and intended states are clear, the final step is to convert the gap into a phased action plan.

Timeframe Priority Typical outputs
Days 1–30 Fix strategic ambiguity Refined positioning statement, category framing, messaging principles
Days 31–60 Fix market proof and message system Homepage rewrite, sales narrative, case study plan, review capture, pitch deck
Days 61–90 Fix expression and rollout Identity updates, campaign language, web changes, enablement, measurement dashboard

The order matters. Strategy before aesthetics. Proof before flourish. Message before multiplication. Otherwise you end up making weak positioning look more expensive.

We would also define success measures before rollout starts. That includes classic brand health signals such as recall, recognition and message consistency, but in SaaS it should also include shorter-path commercial indicators: stronger branded search, cleaner sales adoption of the narrative, better win–loss language and more persuasive proof on high-intent pages. TrustRadius’ shortlist research reinforces the same point: brand work should be judged by its contribution to future preference and present conversion, not by whether the launch deck gets a round of applause.

The useful thing about a SaaS brand audit is that it removes the romance from brand strategy. It shows, in plain terms, what the market is likely to notice, believe and remember. That is sobering. It is also exactly what makes it valuable.

Because the real risk is not that your brand changes too much. It is that it stays just plausible enough internally, while becoming increasingly invisible, generic or hard to trust externally. And by the time revenue feels that, the market has usually moved on without the courtesy of telling you first.

By The Rubicon Agency

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SaaS brand strategy guide: a growth system not a logo exercise

Two people in a SaaS brand strategy meeting thumb

Software budgets have not disappeared, but buyer patience has. In markets where products are harder to tell apart and categories keep blurring at the edges, brand is what helps a SaaS company stand out, stay relevant and give buyers a reason to care before they have compared every line of the spec sheet. Gartner’s July 2025 forecast still pointed to global IT spending growth, while dentsu B2B’s 2025 Superpowers Index said trust remains the single most important factor in winning business. That is the commercial backdrop here: attention is scarce, relevance is harder won, and a stronger brand is often what stops a software business being flattened into just another option. (Sources: Gartner, July 2025; dentsu B2B Superpowers Index 2025)

At The Rubicon Agency, we do not see SaaS brand strategy as the aesthetic tidy-up that happens after the product and GTM plan are already moving. We see it as the system that decides how the company brand, product set, platform story, naming logic, taxonomy, message hierarchy and market promise hold together under pressure. That is also how our own brand strategy, proposition development and product marketing pages naturally connect: architecture, narrative and market meaning, not surface gloss.

In SaaS, weak brand strategy rarely collapses in one dramatic moment. It frays. A solution page starts telling a different story from the homepage. Product names multiply faster than buyers can absorb them. Every internal initiative wants public status. Eventually the market stops seeing a system and starts seeing a pile.

SaaS buying has become more political, more crowded and more interpretive. Buyers are not just asking what the product does. They are deciding whether the vendor feels coherent enough to back, whether the portfolio makes sense and whether the story will survive internal scrutiny. That is why we think brand has become more commercially central, not less. It gives software companies a way to make meaning, build preference and reduce the drag of complexity before sales has to do all the heavy lifting.

That matters because many software businesses now operate with several brand entities at once:

  • a company brand
  • a platform or suite narrative
  • one or more product names
  • solution labels by use case or audience
  • proprietary IP or named methodologies
  • strategic notions designed to sharpen the wider market story

None of that is automatically a problem. The problem starts when nobody has decided which of those entities should carry trust, which should carry specificity, and which should stay subordinate to the wider story.

Animated people in meeting talking with hands

SaaS brand strategy is the structured system that defines what the brand means, who it is for, how it is organised, what it promises, and how that meaning is expressed consistently across company, portfolio and market touchpoints.

That sounds straightforward until it gets reduced to either identity work or positioning language. It includes both, but it is larger than either. In practice, it is the discipline that forces a company to decide what the corporate brand owns, what product brands are for, what should be elevated as IP, what should remain a capability and how the whole thing should make sense to an external audience.

  • the role of the company brand and what it should own in the market
  • the relationship between company, platform, product, solution and service-level entities
  • positioning, including where the business intends to compete and on what grounds it expects to win
  • a messaging hierarchy, so corporate, portfolio and product stories do not contradict each other
  • naming and taxonomy rules for products, modules, platforms, IP and strategic notions
  • brand promise and purpose, with a clear line between commercial commitment and broader belief
  • identity and expression rules, so visuals carry the strategy rather than distract from it
  • governance and implementation processes, so new offers do not break the architecture the moment they launch

That is broadly how we frame the discipline on our own site, talking about strategic brand architectures, design identities and structured narratives that make brands mean business across the business.

The biggest weakness in most SaaS brands is not tone of voice. It is architecture. Teams have not fully decided what sits where, which names deserve market elevation and how each entity should relate to the others.

A SaaS brand architecture should define the role of the corporate brand, any suite or platform constructs, product brands, solution narratives, proprietary IP, strategic notions and supporting descriptors. It should also set naming rules, message hierarchy and visual relationships so the portfolio builds memory instead of noise.

That is not a luxury for large vendors only. Atlassian’s software portfolio is a useful public example because it groups products into collections such as Teamwork, Strategy, Service and Software, while still giving tools like Jira, Confluence, Loom and Trello distinct roles inside the wider system. Different SaaS businesses will need different models, but the principle is the same: buyers should be able to tell what the company stands for, how the products relate, and where each named entity sits.

Even smaller SaaS firms can end up with a company brand, a flagship product, several audience-specific solution pages, an AI layer, a partner story, and a handful of named frameworks within a surprisingly short period of growth. If the relationship between those elements is not designed, it will still exist, just badly.

This is also a natural place to reference the SaaS brand lookbook. Used well, that asset should work as a visual companion to this article, showing how naming, hierarchy, distinctiveness and expression choices appear in real SaaS brand systems.

Lots of business people under umbrella

A separate product brand makes sense when the offer has genuine strategic weight, a distinct audience logic and enough longevity to build its own equity. It makes less sense when the value still depends mainly on the parent company’s trust and the distinction can be handled more cleanly inside a masterbrand system.

That is where many SaaS businesses overcorrect. Some sub-brand everything in sight. Others bury meaningful product distinctions under one vague corporate label and hope the website does the explanatory work. One approach creates fragmentation. The other creates mush.

  • does the audience meaningfully differ from the parent brand’s default buyer
  • does the offer need its own market memory because it may travel into new routes to market, geographies or future M&A scenarios
  • can sales explain the relationship in one breath
  • will the name still make sense once the roadmap evolves
  • does it strengthen the company brand, or quietly compete with it

Too many SaaS teams treat positioning, messaging and promise as one blended writing exercise. They are not. Positioning is the strategic choice. Messaging is the expression system. Promise is the standard the business is asking the market to believe.

At The Rubicon Agency, we think messaging becomes vague when the positioning choice underneath it is weak. That is why proposition development matters so much in the chain. The discipline is not there to produce prettier copy. It is there to produce sharper competitive meaning. That is also where our Message Elevator becomes useful, because it is built to raise complex propositions from functional description to business value and wider market relevance without losing clarity on the way up.

  • Positioning should state where the company intends to win, not merely how it wants to sound.
  • Messaging should be tiered by audience and buying context, not flattened into one generic master line.
  • Brand promise should be provable in product experience, onboarding, support and sales behaviour, not just in campaign language.
  • Confusing message refinement with strategic choice. Better wording cannot rescue a weak market position.
  • Writing an inspiring promise that the product or customer experience cannot actually uphold.
  • Letting product, sales and corporate teams invent parallel narratives that sound plausible alone but incoherent together.

Identity matters in SaaS, but not because buyers are scanning the market in search of a tasteful gradient. It matters because identity carries signals: seriousness, clarity, confidence, navigability, and distinctiveness. If the strategy is weak, the visual system simply makes the confusion better dressed.

At The Rubicon Agency, we place more weight on signature design systems than many software brands do. A strong visual identity is not just a logo, palette and type choice. It is the repeatable design language that carries recognition across the website, decks, interface moments, launch materials, diagrams, motion, iconography, event environments, and sales tools. That is where brands start to look authored rather than assembled. It is also why 5 step brand identity strategy and our wider strategic services thinking matter here: the identity system has to be structurally sound enough to survive scale, not just stylish enough to survive a homepage refresh.

Our Content Spectrum also has a role in this discussion because expression has to stay coherent across different commercial moments. If the visual system is distinctive only in launch mode and generic everywhere else, it is not a signature system yet.

The SaaS brand lookbook belongs here too. This is the section where a visual companion asset can do real work, not as inspiration wallpaper but as proof of how distinctiveness, discipline and design consistency show up in practice.

  • Identity should make the portfolio feel more navigable, not more ornamental.
  • The visual system needs to work across site, decks, product surfaces, campaigns and partner materials.
  • Signature design systems should create recognisable patterns the market can associate with the brand, even before the logo does the talking.
  • Treating a rebrand as a substitute for architecture or positioning work.
  • Copying category aesthetics so closely that distinctiveness disappears the moment logos are removed.
  • Building an identity system that looks good in launch assets but breaks down in product marketing, sales enablement and day-to-day market use.
SaaS portfolio meeting

Portfolio engineering is a useful term because it leaves the commercial stakes in. Every product name, solution label, platform construct and strategic notion either helps equity accumulate or lets it leak sideways.

This matters most in SaaS businesses expanding by module growth, adjacent use cases or acquisition. Left unmanaged, the company brand becomes an exhausted umbrella, the product set becomes a naming museum, and the market story fractures into whatever was most convenient for the last launch. Strong portfolio engineering stops that from happening by forcing every entity to justify its role in the system.

  • Every named entity should have a defined role in the system, whether that role is trust, specificity, thought leadership or sales clarity.
  • Portfolio structure should support how buyers actually navigate the offer, not how internal teams happen to be organised.
  • Proprietary IP should strengthen the company narrative and message hierarchy rather than compete with product names for attention.
  • Naming too many things because internal enthusiasm is mistaken for market demand.
  • Allowing short-term launch logic to overwrite long-term memory structure.
  • Creating frameworks, labels or sub-brands that sound impressive internally but add no usable clarity externally.

A strong SaaS brand should make the business easier to understand, easier to buy from and easier to back internally. That sounds simple. It is not. In complex software categories, simplicity is usually the output of hard strategic decisions rather than the starting condition.

For leadership teams and investors, brand strategy creates a more defensible growth story. For sales, it reduces explanation burden and helps margin defence. For product and product marketing teams, it creates rules about what deserves elevation and what should remain part of the wider story. For customers and prospects, it lowers cognitive load. That broader commercial context aligns with dentsu B2B’s 2025 findings on trust and buyer experience, and with our own emphasis on turning complex propositions into market-ready narratives.

The same logic applies to the marketing leader trying to professionalise the organisation as it grows. That is why our CMO Challenge series is relevant in this conversation. It frames marketing maturity as staged, cumulative and structural, which is exactly how SaaS brand strategy should be treated once a company starts scaling its portfolio and ambition.

  • A strong brand helps leadership articulate why the company deserves preference, not just awareness.
  • It gives sales and product teams a common story architecture instead of separate local versions.
  • It reduces cognitive friction for buyers trying to understand a complex offer across multiple stakeholders.
  • Assuming stakeholder value is self-evident and failing to tailor the brand system to different internal users.
  • Treating brand as an external veneer when many of its benefits are operational and internal first.
  • Optimising for attention at the expense of clarity, especially in high-consideration enterprise or regulated categories.
Pressing Lift button

Most brand strategies do not fail because the diagnosis was wrong. They fail because the operating discipline never arrives. The deck gets approved, the launch happens, and the business resumes its natural habit of improvising.

Implementation needs more than guidelines. It needs control points.

You know it is working when internal teams use the same hierarchy without being chased; the market repeats the story with reasonable accuracy and new launches fit the system rather than destabilise it. You should see clearer naming, stronger message consistency, lower explanation burden, and a more coherent relationship between company story and product story.

At The Rubicon Agency, we would treat implementation as four linked disciplines:

  • strategic intent, so the business is clear on what the company brand owns and what the portfolio needs to do
  • entity rules, so products, solutions, platforms and IP all have naming and role criteria
  • message operations, so product marketing, sales tools, thought leadership and web presence all draw from the same system
  • governance, so new offers, acquisitions and campaign narratives are reviewed against the architecture rather than waved through because everyone is busy

At implementation level, each of our tools has a distinct role. The Message Elevator helps manage level and audience. The Content Spectrum helps keep brand expression aligned across different commercial moments. The CMO Challenge reinforces the wider truth that growth-stage marketing needs more structure, not more improvisation, as the business scales.

  • Build approval logic for new names, new narratives, and new strategic notions before the next launch cycle begins.
  • Make the message hierarchy usable in product marketing, sales enablement and leadership communications, not just in a strategy document.
  • Review portfolio drift regularly, especially after acquisitions, platform expansions or AI-led repackaging.
  • Mistaking a launch toolkit for implementation.
  • Letting governance become ceremonial, slow and detached from real commercial workflows.
  • Failing to revisit architecture when the business model, audience mix or portfolio shape has materially changed.

The strongest SaaS brands do not simply look more resolved. They help the market make sense of complexity faster than competitors do. That is a strategic advantage, not a cosmetic one.

At The Rubicon Agency, we think SaaS brand strategy earns its keep when it does four things at once: organises the portfolio, sharpens the market position, gives messaging a reliable hierarchy and creates a system robust enough to survive growth. If it cannot do that, it may still produce a nicer website. It just will not produce enough preference.

And preference is the part that gets paid for.

By The Rubicon Agency

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SaaS marketing strategy alignment matters. Here’s how to make it stick

SaaS marketing alignment thumb

At The Rubicon Agency, the same pattern keeps surfacing in growing SaaS firms. The strategy itself is rarely the first failure. The failure usually comes later, when sales want speed, product wants precision, finance wants certainty, and leadership wants optionality, all at the same time. By then, the business is no longer working from one strategy. It is working from several polite variations of it. That is when performance starts to blur.

That blur is expensive. A misaligned SaaS marketing strategy does not just create fuzzy messaging. It creates pipeline arguments, awkward handoffs, muddier positioning, weaker onboarding, and a slow drift away from the market you said you were trying to win. CMI’s B2B content marketing research for 2025 found that 43% of marketers struggle to align content across sales and marketing, 40% struggle with organisational silos, and 42% of the least successful strategies suffer from unclear goals. Gartner, meanwhile, found that 74% of B2B buyer teams show unhealthy conflict during decision-making. Plenty of SaaS businesses are recreating the same dysfunction on their own side of the table. (Content Marketing Institute, 2025) (Gartner, 2025)

The bigger channel, proposition and execution questions should sit alongside your SaaS marketing strategy and your SaaS marketing checklist. This piece is about the harder part: getting the company aligned around one commercial truth, then protecting that truth once internal pressure starts pulling at it.

People talk about alignment as if it is mostly cultural. It is not. It is commercial. If sales are chasing one ICP, product is building for another, finance is funding a third, and marketing is telling a fourth story to the market, the company is not scaling. It is arguing with better branding.

That tends to show up first in the same places every time: proposition, proof, handoff, activation and budget. The logic behind that already runs through the agency’s thinking on proposition development, product marketing and sales enablement. Clear positions, sharper messages and joined-up sales and marketing are not decorative extras. They are what stop the rest unravelling later.

In SaaS, the stakes are higher because the strategy does not stop at lead generation. It has to survive activation, adoption, retention and expansion. High Alpha’s 2025 SaaS Benchmarks found retention has stabilised across ARR bands and that retaining nine out of ten customers is now the norm. That means marketing cannot behave as if customer value is somebody else’s department.

No CMO

In an early-stage SaaS business, the strategy is often stewarded by a proxy CMO, usually a CEO, COO, CRO or another commercial lead holding the centre until a dedicated marketing leader arrives. The title matters less than the job. That person has to integrate revenue goals, product reality, resource limits, and customer truth into one governed plan.

Their role is not to collect comments like a village noticeboard. Their role is to set direction, define the non-negotiables, and decide where stakeholder input improves the plan versus where it waters it down.

That takes more than organisation. It takes message discipline. Different audiences, internal and external, need different levels of explanation and persuasion. The agency’s work in product marketing and proposition development makes the same point from two directions: a strong strategy needs crisp, delineated messages that can travel across functions without each function rewriting the core to suit itself.

A lot of companies think alignment is achieved once everyone has commented on a slide deck. It is not. Sign-off is not the same thing as belief.

Philosophical alignment means your teams agree on the fundamentals: who you are trying to win, what you are trying to be known for, what you are willing to prioritise and what you are prepared to leave alone for now. Emotional alignment is different. It means people feel heard, understand the reasoning, and believe the plan acknowledges the risks they carry in their own function. Miss either one and people nod in the room, then quietly undermine the strategy later in the quarter.

Different formats solve different kinds of resistance:

  • One-to-one stakeholder interviews: best for surfacing honest objections early, especially where hierarchy would mute them in a group. Slower than a workshop, but far better for finding the real fault lines.
  • Pre-read analysis packs and market reports: useful for giving everyone the same factual starting point before opinion takes over. Strong on shared context, weaker if the material is dense and nobody really absorbs it.
  • Leadership debate sessions: good for forcing live trade-offs into the open when commercial tensions are real. Productive when chaired properly, destructive when they become status contests.
  • Cross-functional workshops: useful for pressure-testing assumptions and working through dependencies in real time. Less useful when they turn into open season for every pet idea in the business.
  • Ideation sessions: helpful for building involvement and generating routes into activation once the strategic spine is already set. Dangerous when used too early, because they blur strategy with tactics before the choices are made.
  • Structured feedback rounds: effective for refining language, sequencing and implications by function. Much less effective when they reopen first principles that should already be settled.
  • Surveys and confidence scoring: good for spotting disagreement patterns, confidence gaps and silent resistance at scale. Weak on nuance, so they work best alongside interviews or workshops rather than instead of them.
  • Team roadshows or socialisation sessions: useful for translating the strategy into plain language for the wider business and reinforcing what changed, what did not and why.
  • Decision logs: one of the least glamorous and most useful tools in the process. They reduce repetition, show people their input was considered and make it harder for settled decisions to be quietly reopened later.

That wider mix of evidence, story, lobbying, and debate is not incidental. It is the same kind of thinking the agency points to in its work on strategic content and brand strategy: when you need to change mindsets and challenge entrenched positions, information on its own rarely does the job.

Marketing alignment breaks

Sales are usually the first function to challenge a marketing strategy, and often the loudest. Some of that challenge is useful. Sales see objection patterns, deal friction and buying-committee politics earlier than most of the business does.

The problem is that sales pressure tends to compress strategy into immediacy. More bottom-funnel content. More vertical variants. More proof for this quarter’s objections. More adaptation to the prospect who shouted most recently. The agency’s sales enablement perspective is relevant here because it makes the practical case for a joined-up sales and marketing approach in complex buying environments. Joined-up is not the same thing as sales getting the pen every time pipeline wobbles.

Watchouts for sales:

  • Letting this quarter’s objections overwrite the longer-term proposition
  • Treating every lead-quality complaint as proof the strategy is wrong
  • Mistaking demand for customisation as evidence the ICP is too broad

Product teams protect truth, which is useful right up to the point where they start protecting internal complexity instead. They are often right to challenge lazy claims, inflated promises and category language that says everything and means very little.

But product can also drag the strategy back towards inside-out thinking. Messaging becomes too feature-led. Differentiation gets buried under architecture. Every statement needs a footnote. Before long, the strategy sounds accurate to the people who built the product and largely inert to the people who might buy it.

That is why sharper proposition development and more commercially fluent product marketing matter. Product input should sharpen the truth, not wrap it in so much caveat tape that the market never hears the point.

Watchouts for product:

  • Confusing technical completeness with strategic usefulness
  • Pushing roadmap insurance into today’s market story
  • Using nuance as a reason to avoid a sharper claim

Customer success and adoption teams know whether the company’s promises survive contact with reality. They know what customers expected, what actually happened, and where value takes longer to land than the campaign implied.

That matters more now because SaaS growth is not just about acquisition theatre. Benchmark data in 2025 showed retention remains a core expectation and expansion becomes more important as SaaS firms scale. If the strategy creates demand that activation cannot convert into value, you do not have a marketing problem over here and a customer problem over there. You have one commercial problem moving through the business under different job titles.

Watchouts for customer adoption and success:

  • Joining the process only once the messaging is already set
  • Treating onboarding friction as an operational issue rather than a strategic signal
  • Underplaying expansion and retention because the brief was framed as marketing strategy

Finance asks what has to be true for the strategy to work. Good. It should. It forces clarity on payback logic, resource sequencing, channel dependency, and how much risk the business is genuinely willing to carry.

The danger is subtle. Finance can prefer controllable assumptions to strategically useful ones. That creates plans that look tidy in a spreadsheet and timid in the market. CMI’s 2025 research is helpful here because it found weaker strategies were less likely to have clear goals and less likely to be tied tightly to organisational objectives. Discipline matters. But discipline is not the same thing as caution dressed up as rigour.

Watchouts for finance:

  • Trimming ambition without testing the cost of under-reaching
  • Funding activity by familiarity rather than by strategic role
  • Asking marketing to prove certainty where the real task is managed risk

HR tends to be left out of SaaS marketing strategy conversations unless employer brand or recruitment is explicitly in scope. That is a mistake. HR and people leaders understand whether the team structure, approval burden and leadership behaviours can support the strategy you are writing.

A plan that depends on faster content cycles, tighter interlock with sales and more confident market-facing spokespeople is also a people plan. If teams are overextended, approvals are political and nobody has the confidence to carry the story publicly; the strategy may still be smart. It just will not travel.

Watchouts for HR and people leaders:

  • Treating capability gaps as training problems when they are really structural
  • Ignoring approval culture as a blocker to execution speed
  • Missing the morale impact of strategies people do not believe in

Leadership teams often say they want alignment when what they really want is low-friction agreement. Those are not the same thing. The best leadership input sharpens choices, forces prioritisation and protects the strategy from departmental gravity.

The worst kind does the opposite. Every leader adds a valid concern; nobody removes one, and the strategy expands until it can accommodate every priority and direct none of them. That is how otherwise good SaaS firms end up with positioning too broad to land and plans too crowded to execute.

The same principle sits beneath the agency’s view of brand strategy: the point is to build brand systems and structured narratives that work across the business, not outputs parked in marketing and forgotten. Leadership should be protecting that coherence.

Watchouts for leadership:

  • Equating inclusivity with endless strategic scope
  • Allowing hierarchy to settle unresolved commercial arguments
  • Asking for alignment while rewarding functional optimisation

You align those functions by giving each one a defined input lane, a decision checkpoint and a shared commercial outcome. Sales should shape qualification and handoff. Product should shape truth and differentiation. Customer success should shape promises, activation and expansion logic. Marketing, or the proxy CMO stewarding the strategy, owns the integrated narrative and the final document.

The mechanics matter more than the mood. Start with interviews and analysis, not workshops. Draft the strategic spine early: audience, proposition, proof, priority motions, measures and guardrails. Then run focused working sessions by function, not a giant cathartic town hall where the loudest opinion wins by stamina.

A shared framework helps. Salesforce’s guidance on sales and marketing alignment is blunt and practical: shared goals, the same accounts, the same customer data, and the same budget logic. In SaaS, that principle has to extend beyond sales and marketing into product, finance, and customer success as well.

Real alignment shows up in behaviour before it shows up in a dashboard. Fewer circular debates. Faster approvals. Cleaner sales handoffs. More message consistency. Better quality challenge from product. Fewer nasty surprises in onboarding. Less budget panic because teams understand what the strategy is trying to do.

Then the numbers start to follow. Pipeline from priority segments. Conversion through the agreed stages. Activation where product-led or hybrid motions matter. Retention and expansion where the growth model depends on staying power, which in SaaS it usually does. If you want the content layer of that model spelled out in more detail, that is where your SaaS marketing strategy article and SaaS marketing checklist article should do useful supporting work, alongside the live SaaS content marketing strategy article.

Marketing team walking upstairs

Every function should shape the strategy. Not every function should be able to redraw it.

That means writing down a few boundaries before the socialising phase begins. Which ICPs are genuinely in focus. Which propositions are primary and which are supporting. Which channels are strategic bets and which are experiments. Which metrics trigger a rethink, and which merely call for optimisation. Which decisions are consultative and which are owned.

If you do not write the guardrails down, the loudest function will write them for you in practice.

A good SaaS marketing strategy is not defined by how impressive it looks on first presentation. It is defined by whether it still means the same thing after sales has pressed for urgency, product has pressed for precision, finance has pressed for certainty, customer success has pressed for honesty, and leadership has pressed for optionality.

That is why internal alignment matters so much. Not because consensus is virtuous. Because dilution is expensive.

The strategy should absorb challenge. It should not collapse into committee copy. If it does, the market will notice before your team does.

By The Rubicon Agency

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AI visibility in B2B marketing is now a pipeline issue. Who owns it?

AI visibility in B2B marketing thumb

AI visibility in B2B marketing has stopped being a fringe SEO conversation and started behaving like a pipeline one. That shift is easy to miss if you are still treating AI tools as a shiny add-on to search, rather than a place where buyers now define problems, compare vendors and form preferences before they ever land on your site. Resonance’s ‘The New Rules of Visibility 2026’ research says the click is no longer the first signal of intent, and Forrester is now talking openly about a visibility vacuum in answer-engine-led buying journeys.

That sounds dramatic. It is.

Because once ChatGPT, Gemini, Copilot or Perplexity starts framing the category for your buyer, you are no longer just competing for traffic. You are competing for interpretation. And if your positioning is muddy, fragmented or absent, AI will not politely wait for your homepage to clarify things later. It will fill in the gaps with whatever signals it can find.

For years, B2B marketers were trained to think about early-stage intent in fragments: short queries, category searches, basic education, light-touch comparison. That model still exists, but it is losing its monopoly. Buyers are now asking answer engines to do the synthesis for them, collapsing what used to be a multi-step research process into one loaded question. Forrester describes this as richer, more contextual research happening off-site, often without the behavioural signals marketers used to rely on.

AI prompt screen

AI visibility in B2B marketing is the extent to which your brand is surfaced, cited and described accurately in AI-generated answers during buyer research. It is not just about appearing in results, it is about being framed correctly when buyers ask category, comparison and recommendation questions.

The difference is not cosmetic. A prompt like ‘Which cloud security platforms are best for regulated enterprises and why?’ is doing far more work than ‘cloud security platform’. It defines the problem, narrows the field and applies buying criteria in one move. By the time the buyer clicks anything, a shortlist may already exist.

That is why this is bigger than a new acronym. Call it AI visibility, AI search visibility, answer engine optimisation or GEO if you like. The terminology is still wobbling around like a shopping trolley with one bad wheel. The underlying issue is much clearer: discovery has moved upstream and outward.

Resonance found that 81% of B2B marketing leaders see AI visibility as a blind spot, while only 10% can connect it to revenue. That tracks with what many teams are experiencing: they know something has shifted, but the evidence shows up late. It appears in deal velocity, shortlist quality, category fit and the strange sensation that prospects already know what you are before your sales team has said a word.

This is where the conversation gets uncomfortable. Marketers like channels they can count. AI-led discovery is messier. It often influences preference without sending a click, and it can reinforce the wrong narrative at scale if your market signals are inconsistent.

That second risk matters more than many teams realise. Poor visibility is one problem. Mispositioned visibility is worse. If AI repeatedly places you in the wrong peer group, describes your category inaccurately or pulls outdated proof points into current answers, it does not just reduce awareness. It actively distorts demand.

AI is changing the B2B buyer journey by compressing research stages that used to happen separately. Buyers now ask answer engines to define the problem, compare options and suggest likely fits in one step, which means preference can form before website visits, form fills or measurable search clicks occur.

This is exactly why Rubicon’s own capability pages around digital services and enterprise demand generation are relevant here. If discovery is now shaped before the visit, then digital visibility and demand quality are no longer sequential disciplines. They are entangled.

Couple looking at AI analytics

Some of the industry response to this shift has been predictable. New tools, new dashboards, new promises, and of course a fresh crop of tactical folklore. The risk is that teams mistake monitorability for control. Tracking mentions across answer engines is useful, but it is not the same as understanding commercial influence.

Forrester’s argument is sharper than that. The problem is not merely falling traffic, it is the loss of visibility into buyer questions, behaviour and intent. When buyers do arrive, they may actually be better qualified, because AI has already done part of the sorting. That sounds positive, and in some ways it is, but it also means your old attribution habits can understate what shaped the opportunity in the first place.

AI visibility is hard to measure because much of its influence happens off-site, before a visit, click or tracked conversion. It tends to show up downstream in higher-intent sessions, better shortlist alignment or faster sales conversations, which makes direct attribution patchy and easy to underestimate.

That is why a pure search lens is too narrow. AI visibility touches traffic, yes, but also proposition clarity, thought leadership, third-party authority, comparison content and the operational handoff between marketing and revenue teams.

This is the part many organisations are avoiding. AI visibility sits awkwardly between SEO, content, PR, brand, demand gen and RevOps, which means it often sits nowhere with any real authority. Everyone can see a piece of it. Very few teams own the whole problem.

That is a governance failure, not a tooling one.

If your proposition is weak, no prompt tactic will save it. If your category story is scattered across pages, decks and thought leadership with no shared spine, answer engines will surface that confusion back to the market. AI does not invent your narrative from scratch. It industrialises the one you have already left lying around.

AI visibility should have a clear strategic owner, but not a siloed one. In practice, the strongest model is a shared commercial KPI led by senior marketing leadership, with execution spanning SEO, content, proposition, brand, PR and RevOps so accuracy, authority and measurement stay aligned.

Not everyone agrees. Some will argue this is simply SEO with a fashionable haircut. That is too reductive. SEO still matters, obviously, but AI visibility is also shaped by how well your brand is understood, how consistently your claims are evidenced and whether your market position can survive summarisation. That is a broader strategic brief.

There will be no shortage of vendors selling magic beans here. Some already are. The Verge recently reported on increasingly aggressive attempts to influence AI responses through engineered content and biased listicles. That should tell you two things. First, the market knows this shift is real. Second, low-grade manipulation will become the fastest way to poison trust in the channel.

The better response is less glamorous and more useful. Get clear on what you want to be known for. Make sure your category, comparisons and proof points are consistent across your site and external footprint. Build strategic content that helps answer engines understand not just what you sell, but where you fit and why that fit matters. Then measure AI visibility against downstream commercial indicators, not vanity screenshots.

In Rubicon terms, this is closer to a strategic content and market-shaping challenge than a technical parlour trick.

Winning AI team

The obvious temptation is to treat AI visibility as another channel to optimise. That framing is too small. What is actually emerging is a new discovery layer, one that shapes market understanding before the first measurable hand-raise.

The teams that move fastest will not be the ones chasing the newest prompt superstition. They will be the ones that sort out ownership, tighten narrative control and connect visibility to pipeline with grown-up discipline. Everyone else risks letting answer engines quietly rewrite how they are bought.

That would be an expensive thing to discover after the quarter closes.

By The Rubicon Agency

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SaaS marketing checklist for pre-seed to Series A. What matters first, and who should own the call?

SaaS marketing checklist thumb

The hardest question in SaaS marketing is rarely what you could do next. It is what you are deliberately not doing yet.

That is the real pressure point for pre-seed, seed and Series A teams. There is never a shortage of plausible activity. Founders want traction. Investors want signs of commercial discipline. Sales want a better pipeline. Product wants the market to understand what has been built. Marketing is left trying to move all of that forward without creating a bloated plan full of work that looks busy and changes very little.

That is why a checklist can be more useful than another sweeping strategy explainer. At this stage, the job is not to collect tactics. It is to weight them properly, sequence them with some discipline and stay honest about what should wait. Done well; that gives the business momentum. Done badly, it burns time, budget and attention on work that feels productive but does not travel far.

At The Rubicon Agency, that judgement call sits at the heart of how we approach SaaS growth. It is a view shaped by decades in specialist technology marketing, from start-ups to established brands, and then stress-tested here against current research from trusted marketing, technology and investor sources. So, the framework below is not a generic best-practice list. It is a prioritisation model for SaaS businesses trying to grow up without becoming incoherent. (The Rubicon Agency, CMO Investment Challenge)

The weightings below are not a budget formula. They are a strategic attention model. The core weight reflects the broadest early-stage SaaS case. The two additional columns show how priorities usually shift between enterprise-heavy, high-consideration B2B sales and lower-friction SMB, SoHo, or more transactional propositions. That split matters because marketing’s share of the commercial effort tends to vary with contract value and go-to-market motion, while self-serve capability is increasingly associated with better conversion, faster time-to-value and stronger profitability. (Benchmarkit, 2025 B2B Marketing Benchmarks)

Checklist item Core weight Enterprise-heavy B2B weight Transactional / B2SME / SoHo weight Criticality Where it matters most
ICP and positioning clarity 18% 20% 15% Critical Pre-seed, seed
Website, messaging and proof 15% 14% 17% Critical Pre-seed to Series A
Product marketing and time-to-value 12% 15% 14% Critical Seed, Series A
CRM, data hygiene and RevOps basics 12% 13% 11% High Pre-seed to Series A
Focused demand generation and channel testing 14% 10% 17% High Pre-seed, seed
Content and SEO that answer buying questions 11% 8% 12% High Seed, Series A
Lifecycle, enablement and expansion motions 10% 11% 9% High Seed, Series A
Thought leadership, proof and executive signal 8% 9% 5% Selective but important Seed, Series A

The pattern behind the table is straightforward. The earlier you are, the more brutally important clarity becomes. The more complex the sale, the more weight shifts toward positioning, proof, enablement and stakeholder confidence. The more transactional the proposition, the more pressure falls on web journeys, demand capture and speed to value. Start there, and the rest of the checklist becomes easier to read properly.

The first trap for early-stage SaaS companies is assuming that activity can compensate for ambiguity. It cannot. If buyers cannot quickly understand who the product is for, what problem it solves and why it matters now, every downstream investment has to work harder than it should.

That is why we tend to treat positioning as an operating decision rather than a branding exercise. It shapes the website, the sales narrative, the content plan, the paid strategy, and the level of friction the market is willing to tolerate. Long before a business has a scale problem, it usually has a clarity problem. That logic runs through our SaaS work, our product marketing approach and the wider thinking behind the CMO Investment Challenge.

The data supports that instinct. Bessemer’s 2025 founder’s guide puts ICP definition and customer understanding at the centre of demand creation from scratch, while Andreessen Horowitz on RevOps argues that scalable growth starts with foundational clarity around customer, motion and process before teams pile on more operational layers. From our side of the table, what looks like a channel problem is often a translation problem wearing a media budget.

SaaS website discussion

Too many SaaS websites still behave like brand furniture. The problem is not aesthetics. It is that buyers no longer move neatly from marketing to sales in a straight line. McKinsey’s 2024 B2B Pulse found decision makers want to interact in many ways and that supplier interactions are now spread across in-person, remote human and digital self-service channels. Gartner’s 2025 sales survey found 61% of B2B buyers prefer an overall rep-free buying experience. That does not remove sellers from the picture, but it does make the website part of the commercial journey whether you intended it or not.

That is why our recent piece on SaaS content marketing strategy matters here, even though it is nominally about content. The same point applies to the website: if it creates activity but not movement, it is underperforming. For lower-friction propositions, that usually means sharper self-serve journeys, clearer proof and cleaner conversion paths. For enterprise-heavy offers, it means stronger persona routes, deeper reassurance and a much better handoff into sales. Either way, the website cannot just “be there”. It has to do work.

Product-heavy teams often drift into feature narration because it feels concrete. Buyers, sadly, are not buying architecture diagrams. They are buying outcomes, reduced risk, confidence, and speed to value. That is why our product marketing and sales enablement work often sits closer together than businesses expect. One sharpens the commercial story. The other makes sure it survives contact with real buying groups.

ProductLed’s 2025 analysis makes this more than a stylistic preference.

Across 446 B2B SaaS companies, those with self-serve revenue reported 14.5% higher overall performance scores, 25.9% better free-to-paid conversion, 18.3% faster time-to-value and nearly double the profitability rate of those without it. 

Even in enterprise-led models, the broader lesson still holds: product marketing and value realisation are growth infrastructure, not optional polish. In practice, this is often the point where a business stops explaining what it built and starts making a case for why anyone should buy it.

Early-stage SaaS teams rarely lack tools. What they often lack is the appetite to impose discipline before the disorder becomes embarrassing. The trouble is that by then, bad lead routing, vague lifecycle stages and unreliable reporting are already baked into the operating model. We have seen this often enough that it has become one of the least glamorous but most consequential decisions in the checklist: install enough structure to learn cleanly before chaos becomes culture. That sits squarely inside the stage-based logic of the CMO Investment Challenge, where marketing maturity has to arrive in time for the next funding conversation, not six months after it.

Demandbase’s 2025 State of B2B Marketing says stronger teams are uniting data, automation and AI rather than treating channels as isolated exercises. Andreessen Horowitz makes the same argument from the operating side, describing RevOps as the groundwork for scalable growth through foundational systems, data hygiene and basic processes across marketing, sales and customer success. The point is not to build a late-stage machine too early. It is to avoid calcifying bad habits just because the current spreadsheet still technically opens.

Too many channel options

Channel envy is one of the quickest ways to waste a seed-stage budget. Teams copy the visible surface area of larger marketing functions without the clarity, integration or operational slack to make that breadth useful. We usually see this when a business feels pressure to “do more marketing” before it has decided what the next most important job actually is.

That is why fit matters more than breadth for its own sake, a theme we explore in our buyer’s guide to choosing the right SaaS marketing agency. Benchmarkit’s 2025 benchmarks show faster-growing companies tend to allocate more to marketing, and that demand generation takes a large share of programme budgets as businesses scale. High Alpha’s 2025 SaaS Benchmarks adds nuance: outbound matters early, then loses impact as companies grow, while events and in-person interactions strengthen across many ARR bands. That is exactly why the weighting shifts by proposition type. Transactional SaaS can justify heavier emphasis on scalable demand capture earlier. Enterprise-heavy offers usually need more restraint, better integration and tighter alignment with proof and enablement.

There is no shortage of SaaS content. There is, however, a shortage of SaaS content doing a commercially useful job. We called that out directly in our recent article on why most SaaS content strategies fail to drive pipeline, because the gap between activity and pipeline is where a lot of otherwise competent programmes quietly fail. Our strategic content work starts from the same principle: content has to help the buyer move, not merely help the marketing team publish.

Bessemer’s 2025 guide argues that robust mid-funnel content is often the missing link for early-stage founders. Edelman and LinkedIn’s 2025 thought leadership report adds that hidden buyers actively discover, consume and evaluate thought leadership, while more than 40% of B2B deals stall because of internal misalignment. That matters because it means your content is often speaking to people who are influential in the decision long before they are visible in the funnel. In enterprise and high-consideration SaaS, the best assets are often the ones a buyer can carry into the next internal conversation.

New-logo activity feels exciting. Retention, onboarding, and expansion feel more procedural, which is precisely why they get underweighted. The challenge is that weak post-click and post-sale experiences force the business to keep reacquiring belief it should already have earned. We have long treated sales enablement as part of that broader journey, not as a folder of sales assets created once someone asks for them.

High Alpha’s 2025 report says strong SaaS performance sits at the intersection of high NRR and low CAC. Benchmarkit’s 2025 performance data also points to retaining and expanding existing customers becoming harder as businesses rely more on expansion ARR. That is why this checklist gives lifecycle, enablement and expansion real weight. In enterprise motions, that means stronger objection handling, deeper seller support, and better customer proof. In lower-friction models, it means onboarding, lifecycle communications, and product education that reduce friction fast.

Thought leadership has become an all-purpose prescription for teams keen to look sophisticated. The problem is that not every SaaS company needs a grand theory of the future. Some need sharper proof, clearer differentiation, and a homepage that stops sounding like an internal strategy memo. Still, where a category is new, contested or complex, thought leadership can act as commercial infrastructure. That is the rationale behind our thought leadership work and the product-marketing-led thinking that tends to sit around it.

Edelman and LinkedIn’s 2025 report shows hidden buyers matter materially in B2B decisions and that strong thought leadership can help influence the people buyers cannot always see. We see that most clearly in enterprise and high-consideration SaaS, where category confidence and executive signal often need to arrive before the product conversation can land properly. In lower-friction propositions, though, thought leadership usually deserves less weight than better conversion, clearer onboarding and stronger demand capture. Point of view matters. It just has to earn its budget.

Someone has to guide these decisions. One owner, not a committee fog. At pre-seed, that may still be the founder, though ideally with input from a strong operator or specialist external partner. By seed and Series A, it should usually sit with a defined marketing lead who can weight trade-offs, defend them internally and stop the business mistaking motion for progress. That is the spirit behind the CMO Investment Challenge: the priorities change by stage, so someone needs to own the order of operations.

This is also where a specialist agency should do more than deploy. Delivery matters, obviously. Strategy without execution is just expensive taste. But the right partner also adds judgement, expertise and, when needed, a challenger mindset. It should pressure-test assumptions, help weight the work properly, and make sure the right tasks are sequenced and delivered in the right order. That is the thread running through our SaaS capability, our buyer’s guide to choosing the right SaaS marketing agency and the way we think about product marketing, sales enablement and growth planning more broadly.

The best SaaS marketing checklist is not the one with the most boxes. It is the one with the clearest judgement. Enough clarity to be understood. Enough proof to be trusted. Enough infrastructure to scale without hardening bad habits. Enough external challenge to stop the business confusing activity with progress. That is the version that survives growth.

By The Rubicon Agency

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Does AI content rank? Yes. But that is no longer the point

Does AI content rank thumb

Last week, MarTech covered Semrush’s new study on whether AI content ranks well in search, and the headline was about as surprising as rain in Manchester: yes, it can. Google is not automatically punishing AI-written content, and content quality still determines outcomes. Useful, clear, relevant pages can perform whether a human drafted every line or not.

That should calm one debate and intensify another.

Because if AI content can rank, then ‘can it get on the page?’ is no longer the interesting question. The more uncomfortable one is what happens when everyone can produce search-competent material at scale, with decent grammar, clean structure and just enough surface-level usefulness to pass as good.

The answer is not hard to see. More output. Less distinction. More polish. Less real conviction. Search fills up with content that reads perfectly well and leaves almost no mark. It ranks, it nods politely at intent, then it vanishes into the wallpaper.

SEMrush analysed 42,000 blog posts and found that AI content is not inherently blocked from ranking. MarTech’s summary of the study landed on the right conclusion: search engines are evaluating AI-assisted pages the same way they evaluate any other page, by usefulness, relevance and clarity.

Google rank performance

Yes, AI content can rank on Google if it is useful, relevant and clear. The method of production is not the deciding factor. The stronger question is whether the content adds enough original value to compete once many other brands can now publish similarly competent material at speed.

That distinction matters. Ranking has always been a means, not an outcome. Yet AI has made it temptingly easy to confuse technical eligibility with commercial effectiveness. A page that lands on page one but says what fifty other pages already say has achieved something, certainly. It just may not have achieved anything you can take to a revenue meeting with a straight face.

Google’s own guidance has been consistent on this point. Generative AI can help with research and structure, but content created primarily to manipulate rankings or mass-produce low-value pages risks falling into scaled content abuse. Google’s ranking systems prioritise helpful, reliable, people-first content, not content that exists merely because a workflow made it cheap to generate.

No, Google does not automatically penalise content just because AI helped create it. What it does warn against is scaled content abuse, where content is mass-produced mainly to manipulate rankings rather than help users. Quality, originality and value still do the heavy lifting.

That is the policy answer. It is also the easy answer.

The harder truth is that search quality and market quality are not always the same thing. A page can be good enough for Google’s systems and still be strategically forgettable. It can satisfy the machine’s threshold for usefulness while doing very little to make a buyer trust you, remember you or choose you.

This is where the current AI content conversation remains oddly timid. Much of the trade coverage still circles the compliance question, as though the main issue were whether AI content is allowed into the building. It is. The more pressing issue is what it looks like once everybody gets inside.

AI is very good at improving grammar, smoothing structure and producing broadly acceptable answers. It is much less reliable at generating sharp judgement, first-hand experience or the sort of commercial tension that makes a reader stop and think, ‘Fine, these people actually have a point.’ Left alone, it tends to average things out.

Sensible. Balanced. Safe. Magnolia messaging, to apply a term coined by The Rubicon Agency. Safe enough to offend no one, and persuasive enough to move almost no one.

AI content often fails after ranking because visibility is not the same as differentiation. Many AI-assisted pages are readable and technically relevant, but too generic to persuade, be remembered or shape preference. They meet the brief for search while missing the brief for actual market impact.

That is not a small problem. In B2B technology especially, where buyers face complicated choices and long sales cycles, content must do more than answer the query in front of it. It needs to signal judgement. It needs to show that someone behind the brand understands the category, the stakes and the trade-offs. Otherwise, you are just another competent voice in a queue of competent voices.

The Rubicon Agency is already on the record arguing against vague, vacuous content and in favour of more distinctive, proposition-led thinking. We’re not inventing a new belief here – it’s extending an existing one into the AI era.

There is a mild irony here. AI lowers the cost of producing decent content, which means decency itself becomes less valuable. The commodity becomes the baseline. What gets expensive again is not production, but perspective.

That does not mean every blog post needs to be a manifesto. Some queries deserve straightforward answers. Some pages should simply help. But even practical content benefits from specifics, original framing and evidence that a human mind has actually interrogated the material rather than merely rearranged it. Real examples. Clear trade-offs. A sentence or two that sounds like it could only have come from this company, not from any company that subscribed to the same model last Tuesday.

The Rubicon Agency already has a useful framing device for this in The Content Spectrum, which positions content according to buyer need, product maturity and sales stage rather than pretending every asset has the same job. That thinking becomes even more relevant now. AI may be good at generating a competent middle. It is much less dependable at deciding when a piece should provoke, reassure, reframe or sell.

person stands out from the crowd

Brands should use AI for acceleration, not authorship by default. Let it help with research, structure and draft momentum, then add what models usually flatten out: clear judgement, first-hand insight, sharper examples, stronger voice and a point of view that reflects the brand rather than the average of the internet.

The commercial point is simple. Search performance still matters. So does efficiency. But if AI makes it easier for everyone to publish acceptable content, acceptable becomes a weak ambition. The brands that win will not be the ones producing the most polished neutrality. They will be the ones that decide what they actually want to say, then say it clearly enough that a buyer remembers who said it.

AI content can rank. That debate is settling. Good.

Now for the more useful one.

If production gets faster, where does the saved effort go? Into more volume, more templates and more faintly competent pages that all smell the same? Or into better judgement, tougher editing and stronger ideas that are actually worth surfacing in search? Google’s guidance gives you the minimum standard. The market will demand more than that.

That is where the opportunity sits. Use AI to remove drudgery. Then spend the reclaimed time on the bits that still resist automation: deciding what matters, what is true, what is commercially at stake and what your brand is prepared to stand for in public. If that sounds less scalable than pressing ‘generate’, that is because it is. It is also where the advantage still lives.

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Writers block: The great AI content conundrum

Writers block - AI content thumb

According to the Content Marketing Institute, 61% of technology marketers say creating the right content for their audience is challenging.

This is hardly surprising given the sprawl of decision makers, budget holders and influencer groups over the years. In yesteryear things were much simpler, the balance of power sat in the IT tower. Decisions on technology purchases were sat firmly with the CTO or CIO so producing content that pushed their buttons was fairly straight forward.

Fast-forward to the present, the technology space is awash with products, services, solutions and architectures that are designed specifically for certain lines of business. In May of this year CMSwire reported that the MarTech space alone had swelled to over 14,100 solutions [hyperlink], so it’s no surprise that tech marketers are finding it difficult to create differentiated, relevant and valuable content that their prospects want to engage with, given the competition for eyeballs.

Is AI the answer to our content prayers?

With the explosion of AI into every tech application known to man, it’s no wonder that marketing has embraced generative AI like a returning relative from an overseas trip. Let’s face it, AI has been pitched to remove manual, repetitive and human centric tasks- content creation is no exception to this. The Content Marketing Institute continue in their benchmarking report that 79% of technology marketers use generative AI for content tasks and 48% use AI to write full first drafts. But this begs the question, is AI the golden goose we have all been searching for?

Well, if used correctly it can certainly remove a lot of the grunt work out of the process which is a huge plus given that 66% of tech marketers are faced with a lack of resources. However, in order to remain in control, marketing departments must adopt some form of guiderails around the use of AI in content production. These include but are not limited to:

  1. Ethical use of AI: Organisations should be transparent about AI-generated content in order to avoid bias and not to mislead audiences.
  2. Quality control: Human involvement should be applied to all AI generated content to ensure that brand tone of voice and quality standards are adhered to.
  3. Content authenticity: Ensure content feels like it’s been created by a human, making sure it’s authentic and adds value to the audience.
  4. Content validation: Check to make sure that references, statistics and sources are relevant, up to date and correct.
  5. Data privacy, security and compliance: Make sure that all content complies with copyright law, data protection and compliance regulations.

Content should be human-centric.

No doubt about it, AI has aided content creation and has certainly streamlined the process, although to be truly authentic, marketers still need to apply the human touch. Consumers often challenge and question the information they are presented with, so structuring arguments that support these and applying empathy, elevation and context to these points can promote authenticity.

People buy people, so if your content comes across as synthetic your audience may not only switch off but, on a deeper level, possibly question your products or even worse, your brand.

At The Rubicon Agency we craft human-centric strategic content that informs, educates and inspires. With over 25 years of B2B marketing agency experience working within the tech sector, we know what it takes to cut through the competition.

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The importance of the product marketing enigma machine

Marketing enigma machine thumb

Cracked by the boffins at Bletchley Park and synonymous with films like The Imitation Game and U-571, the Enigma machine was at the bleeding edge of cipher technology in the mid 20th century. Unlocking the true meaning of its coded messages had a monumental impact on the outcome of WW2.

With a slightly tangential pivot, the same premise could be applied to deciphering the sometimes-cryptic messages unveiled by product marketing teams. Tasked with communicating a product, solution or service to the market, product marketing can sometimes default to showcasing the technical features and functionality.

Now, there is a time and a place for this information – comparing competitors’ offerings can require a forensic peek under the covers. However, being able to convey the benefits to a non-technical audience or apply relevance to certain lines of business is a skill that requires a degree in translations.

Demonstrating the art of possible

As we are all well aware, buying centres and tech budget holders have become more diverse than they were 20 years ago. Lines of business including HR, finance, marketing and sales now have dedicated budgets to purchase x-tech products and services.

Assuming these buyers aren’t tech savvy, or particularly excited by the number of functions your product offers. So, how do you effectively communicate the value and the difference of your brand over a competitors?

The answer is empathy. Put the product in context. How is it going to make their lives better? How is it going to benefit the business? What possible use cases can your product be applied to? These are some of the messages that will cut through the noise of traditional speeds and feeds information.

The growing influence of Product Marketing Managers

In a recent article, McKinsey reported that PMMs could be the secret weapon in turning products from ‘meh’ to ‘must-have’. They stated the following:

  • Market understanding: PMMs bring essential insights to the table which in turn help tailor products to meet customer needs and preferences.
  • Orchestration: They coordinate efforts across teams to ensure a seamless transition from development to market launch.
  • Risk mitigation: By understanding market dynamics they’re able to reduce the risk and guesswork associated with new product launches.
  • Revenue growth: Companies with robust PMM functions see significantly higher revenue growth, with top performers having a 25-30% higher ratio of PMMs to product managers.

Used effectively, product marketing managers can bridge the gap between development and customer speak, they can pivot the stories above to resonate with their audience and act as ‘chief code breaker’, to take the technical intricacies of the product and decipher it into real business benefits.

At The Rubicon Agency we have a track-record of working with product luminaries and ‘simplifiers of propositions. Together, we craft product marketing content that bridges the gap between tech speak and storytelling. With over 25 years of experience working within the B2B tech sector we know what it takes to articulate a new product, service, platform or architecture.

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Are FinTech’s losing touch? Fintech marketing trends

FinTech dinosaur thumb

Traditional banks have long been seen as the lumbering dinosaurs of the finance world, unable to react dynamically. Many Millennials and Gen Z were searching for market disruptors that offered secure financial services but delivered on their terms and in a digital first manner.

This groundswell saw the birth of the neobank, a digitally native offering with no bricks and mortar branches, specialising in a concentrated set of products and services. Great you may think. Problem solved. These disruptors have filled a gap in the market and are now serving their customers in a more efficient and digital way than the traditional banks ever could. Wrong! If you are going to disrupt the market then you need to stay in lockstep with the demands of your customers (new and old) through effective Fintech marketing strategies. It could be argued that whilst FinTech’s provided a refreshing pivot away from high street banks, they are now facing the same challenges.

Know your market

Being different was, at first, enough of a USP to attract previously disgruntled customers. However, as more and more FinTech’s entered the market, supercharged with supportive conditions like digitalisation and abundant funding, each needed to carve out their own niche. However, many had misaligned their offering with the needs and wants of their potential customers. Overlay direct and indirect competitors and the piece of the pie that seemed sizeable at first can quickly turn to a pile of crumbs.

Poor user experience

The very premise of a neobank or FinTech is built on the customers digital experience. Deliver a poor UX and the selling point that many customers bought into has eroded and with it their loyalty.

If the digital experience is slow, unreliable, cumbersome or irrelevant then customer will churn.

Evolve or fail

In a continuously changing landscape, FinTech’s need to stay ahead of consumer trends and customer wants in order to stay relevant. For example, Revolut started life focusing on the travel market. Their offer was aimed at customers who wanted to make digital transactions abroad without being stung with commissions or unfavourable exchange rates. Over the years, they have evolved their proposition, adding new services such as crypto trading to keep pace with their users’ news.

Navigating regulations

New rules and compliance obligations like Anti Money Laundering (AML) and Know Your Customer (KYC) can become a burden for agile neobanks. These regulations require large amounts of resource and can impact business models depending on technology and risk profiling. Those that don’t cope with these checks and balances can be impacted by delivering a sub-standard service to their customers.

Safety in numbers

Filling the gaps in products or services through partnerships is one of the ways FinTechs can expand their offer to its customer base without diluting their core business. Partnerships enable users to customise their accounts with a la cart services that are most relevant.

It’s safe to say that the FinTech buyer is more disconcerting than a few years ago. Where slick propositions and digital-first experiences provided a breath of fresh air to a largely siloed and outdated industry, these same gems have lost their luster over time. Expectations have exponentially increased. Service requirements have become more complex and personalised.

Standing out from the crowd in a highly commoditised market is difficult, so to cut through the noise you need a marketing agency that can elevate you above the competition.

The Rubicon Agency has significant experience in the FinTech space – whether the original disruptors or the re-incarnators.

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Platforms need strong participation and purpose – an observation for platform marketing

Platforms blog thumb

Changing how the world works

Brands often want to influence and change the world around them – sometimes within the bounds of authenticity, and sometimes not.

Tech is no different, but when it comes to platform brands, it’s perhaps more true than other segments. Platform brands are often the youthful upstarts and yesterday’s unicorns with high regard for their market contempt and trouble making. They’re often the ones making up the new rules, and zigging when others zag.

A strong belief system or manifesto aligned with their carefully carved niche is super critical to success. There’s little room for the meek and mild here.

New economics of platforms brings new entrants

Platform plays have disrupted many established markets and industries – Uber in taxis, AirBnB in hospitality/travel, Doordash in fast-food – to name just a few. Most markets have received some challenge to norms and business models from a platform-upstart that’s looking to shake-up the status quo and entrenched commercial agendas.

To do it, they (largely) use existing technology to create unique IP to introduce a new route-to-market. But they also come at it with an ecosystem mentality, looking to introduce value to actors that are critical for the platform to be a success. These are often fellow disruptors looking sideways at a market and thinking, ‘We could do with some of that action’. 

In fact, six of the ten most valuable companies in the world today are platform businesses: Apple, Alphabet, Amazon, Facebook, Tencent, and Alibaba. They all allow ‘vendors’ to use their platform to monetise their wares. And they’re doing well out of it!

Now, the winners are not necessarily ‘the tech pioneers’ – they’re often ‘the pioneers with tech’.

But while the platform-model is loved by shareholders and business leaders alike, these brands are faced with some unique pressures. Notwithstanding existing businesses undergoing ‘platform-reincarnation’ and looking to benefit from recurring revenues and sticky services themselves.

Platforms need an engaging core

More than many other tech businesses, platform co.’s need a rock-solid raison d’être for others to exist. They often provide an alt. route to market that still needs to compete with old world models as well as subsequent waves of disrupters.

The kernel of their original business plan needs to surface for ecosystem ‘contributors’ to believe in their vision and collaborate/co-create to the underlying business intent. These participants – together with the end-buyer – need to believe in the operating model as much as they do the character of the marketing. There ain’t no hiding here!

What should the platform marketer look for?

To achieve the relationship above, platform marketers should ensure:

  • The business purpose is very clear and sustainable for ecosystem participants – even more so if a market is experiencing various disrupters with similar models.
  • The purpose is translated into persona-based messages/journeys at key touch points.
  • The value of the model is seen/projected to carry substantial value to contributors (i.e. lean/efficient route to market) and end-buyers (i.e. ease of selection/provision).
  • The brand purpose (i.e. what the brand believes in) must co-exist neatly with the business purpose (i.e. the reason for invention).
  • Bullets 1 and 2 must sense and respond to changing plays of new entrants.

Addressing these issues head-on will get you well into the success zone.

Long live the tech-centric business

This new breed of tech-centric business, or the enlightened leadership team of a ‘platform-reincarnation’ play, are generally in-tune with the needs of the end user. They understand the self-empowered and open business mindset and how that’s good for the market – and their prosperity.

As such they’re generally less infatuated with ‘tech-spec marketing’ than the tech pioneers of yesterday. But they still need to enact the bullets above to make sure their play engages and endures.

The Rubicon Agency has significant experience in platforms play – whether the original platform disruptors or the re-incarnators. 

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Make the invisible visible – a hack for infra marketers

Infra blog thumb

A little bit of magic is required

An Invisibility Cloak is a magical garment that renders the wearer or whatever it covers invisible – and brought to infamy in the Harry Potter film and book franchise. These cloaks are exceptionally valuable within the wizarding world as they are made from the hair of a Demiguise, a magical creature that possesses the power to become invisible at will.

It’s a shame that many infra marketers seem to be using them on their infra plays – making little effort to display their own magic.

The world needs infrastructure visible

Infra may not be the new rock & roll, but it is undergoing a new dawn in appeal and recognition – driven by software defined capabilities, domain convergence and new cloud operating models amongst other market shifts.

Further, infra has arguably become more key as industry moves toward platforms and marketplaces – and (digitally-transformed) business processes become even more infra-dependent. Goals for corporate agility, sustainability and Net Zero have turned up the pressure too.

Technologies that run global industries, markets and communities like 5G, IoT, blockchain, and smart grids rely on infra – and in themselves they ARE infra too.

But to succeed, the impact of this ‘digital plumbing’ must be manifested in a very real and visceral manner. But not all vendors and service providers do a good job in landing this.

More than digital plumbing

It’s probably worth a few words defining infra here – we mean WAN, LAN, mobile, data centre, security, Wifi, interconnectivity. You get the gist.

It doesn’t matter whether it drives a private, public or hybrid environment – the backbone is critical, and its invisibility needs to be overcome with very visible benefits. Often, it does more than connect A to B – it’s linked to possible shifts and transformations in business operations and posture.

Top marketing tips for infrastructure campaigns

The key messaging and creative watch-outs for the tech marketer include:

  • Build bridges between incremental technical/functional benefits and specific business indices. These are likely to be steps towards the bigger goal(s) of the next bullet.
  • Establish a credible link between the holistic, improved operations story and (business or tech) aspiration.
    • By ‘credible’, we mean elevated but within the elasticity of the brand and the authentic purpose of the tech.
    • And by ‘aspiration’ we mean contribute towards goals such such Net Zero, competitiveness, boosting NPD, service acceleration etc.
  • Create an emotional attachment with the above messaging. This is likely to be linked to personal, team or business reward and success
  • A positive response to all these principles will propel you well in the right direction.

Businesses generally invest in tangibles

The above sub-head may not ring true with NFTs and crypto, but most organisations demand highly measurable results.

None more so than big-ticket deals in ‘digital plumbing’. From service/cloud providers to enterprises/SMBs and public sector orgs, all need to act with prudence and diligence – but also with a next-gen mindset. Decisions made can have long-term consequences – good and bad.

The b2b tech agency or tech marketing function needs to make sure their technical argument commands an RFI/RFP, but their aspirations and promise secure brand preference.

The Rubicon Agency has deep experience with networking, cloud and data centre propositions, working with many of the leading vendors in the space. 

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Sell aspiration not anti-perspiration – a philosophy for software marketing

Software blog thumb

Heros need a mix of aspiration and perspiration

Imagine the scene. A TV ad for a world famous anti-perspirant, where our hero is just about to make the rock climb of their life. Picture the director, sizing the dramatic perspectives that show the peril of the route in-frame and the atmospheric shots of the climber’s preparations. Edit-in the adrenaline-inducing ropes and apparatus – and the climatic joy at the summit. You get the picture.

Now imagine the ad where the focus is just the anti-perspirant and its ability to reduce sweaty arms. It’s a passion killer isn’t it. Well, this is much like the state of software marketing – where there’s a lack of craft and flair in blending perspiration with aspiration.

New models in software make things worse

Software has been core to the tech industry since day one. And as decades have rolled by, the delivery model has changed radically – and more recently the software supply chain and operating models have been turned on their heads too.

But in all that time, software has been engineered to fulfil specific roles – such as office tasks (Word/Excel etc.), processes (SAP/Oracle etc.), horizontal functions (Workday, Adobe etc.) and many more. All are positioned to make things easier, save time, improve accuracy – and fulfil basic needs in our workday lives.

But these binary messages/measures are now table stakes and not enough to express the real value of modern software applications to a business with zeitgeist challenges.

Modern architectures, APIs and AI bring massive potential to what software can do and achieve. And now (as tech marketers and b2b tech agencies) we need to place more emphasis on presenting how it’s going to change the business – rather than the basic performance it achieves. The potential and accomplishments of our erstwhile climbing hero need to be evident and authentic.

Software needs to dare to dream

We’re now talking about new messages and yardsticks – accuracy of experience scoring, quality of predicted outcomes, performance of virtual behaviours – the list goes on.

All these messages are visionary, and all yardsticks were unthinkable just a few years ago. But what principles should be applied by modern software marketers to make sure they’re on the right track?

The modern software marketer checklist

Here’s how to achieve the right level of pitch for the software or app:

    1. Don’t think that the traditional high-touch nouns of agility, flexibility and productivity are enough these days. Break beyond these barriers into fresh air. Go beyond the blah, blah, blah
    2. Get up close and personal with the customer use cases to extract the most valuable essence(s) of the application.
    3. Get empathetic and imaginative in equal measure and apply your own ‘language translator’ to create and pitch a story for business managers/leaders, users and the IT function. All use different languages and have different care abouts.
    4. Loosen-up a bit – apply some b2c thinking (even in b2b propositions) to enforce a fresh perspective and brand expression that buyers and users can relate and buy into.
    5. Finally, don’t over-egg it! Make sure there’s authenticity and reality around the dream you’re selling to the customer. Overdo it and you’ll damage your brand and reputation.

The comfort in aspiration

The above 5 points take patience, rigour and high standards in knowledge extraction and message elevation to achieve the right results. But they sure feel like a breath of fresh air when you get there! The aspiration feels real, sweet and attainable.

The result. You end up with a differentiated, engaging and enduring pitch to your software play. And you’ll feel like our climbing hero from the outset.

The Rubicon Agency has 30-years’ experience in marketing software and applications, working with many of the leading vendors and engineers

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Sell the impact not what’s inside – an appeal to cloud and AI marketing pros

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Do you need a petrol head for adoption?

We all know one. An inquisitive, passionate petrol head that knows the inner workings of the combustion engine. Someone who can explain the mechanics of the turbocharger, crankshaft and gearbox. They’re a great source of free education – but they can be very heavy on the minutiae you pretend to be interested in, just to get the educated answer you’re after.

Cloud and AI vendors can have similar traits – super keen to show what they’ve learned and built over the years – and wanting to share technical detail that exceeds your need, desire (and let’s be honest), comprehension.

More innovation and bamboozling ahead

When cloud started to gather on the horizon a couple of decades ago, little did we all know the profound effect it would have on our lives – whether in the tech or marketing industry or just as a plain old consumer. We’ve needed to introduce and normalise emerging technologies rapidly – and sometimes we’ve overcooked it.

What started as ‘some virtual storage somewhere in the ether’, gained momentum, surfaced disruptive innovations and was the catalyst to a fundamental rethink of computing. It unlocked an Alladins Cave of possibilities and potential that not only reinvented what tech can do, but also business operating models, software supply chains and consumption models.

Tech marketing pros and b2b marketing agencies have spent the last 2-decades marketing cloud services in a way that’s made XaaS the de-facto that it is today. But like our erstwhile petrol heads, we’ve done some bamboozling and blindsiding along the way too.

Don’t love the tech too much

Early adopters can have a habit of thinking everyone ‘gets it’ and ‘instinctively knows where things are going’. And with that can come a false presumption of awareness and understanding.

Cloud upped the ante on what’s possible – but AI has taken that onto a whole new level. All segments, industries and economies are looking over their shoulders for what it could mean. It’s fair to say that (as of writing this blog) much of the AI market is still in its early adopter and (some in segments) early majority phases.

The early majority onwards need tech marketers to join the dots. We need to translate what the emerging tech is – into what it does and what it achieves.

We can’t afford for these emerging innovations to not achieve lift-off just because their value hasn’t been articulated. After all, not all tech vendors are led by visionaries with skills in crisp and eloquent distillation. We need to play our part.

Technologists – programmers, architects, engineers – are all understandably proud of their efforts and their stack. But product/portfolio management and marketing teams need to step in and stop this hitting the market without decoding the value.

What do cloud and AI marketers need to consider?

Solution, product and marketing teams should ask themselves these 3 key questions:

  1. Does your current marketing decode what’s enabled and achieved with your technology, rather than what it does and how it does it?
  2. Do you have tiered messaging to translate functionality and capabilities for varying levels of technical proficiency?
  3. Do you present crisp use case benefits and stories against the status quo?

If some of these answers are no, you may want to think again.

Serving a more tech-friendly audience

Cloud and AI technologies are great for audience levelling – often bridging the needs of the business managers while offering something more progressive and flexible for IT pros.

Alongside that shift, the business manager is becoming more digitally able (with greater workforce representation of millennials and Gen Z).

So, while business decision makers are becoming more technically literate – you still need to keep ‘Team IT’ on-side – especially in larger businesses. This means tech marketers (and their tech agency partners) must balance the need for simplicity with crisp business benefits and technical depth.

Campaigns and collateral produced by b2b technology agencies (and internal marketing functions) need to land the purpose of the tech proposition – without patronising or bamboozling buyers and users.

Collectively, we don’t want to be known as the petrol heads that no-one wants to sit with at the Christmas party!

The Rubicon Agency has significant cloud and AI expertise, working with many of the leading vendors in disruptive innovation.

Check out our experience in cloud and AI.

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25 years of innovation and success with AT&T

AT&T 25 Years Blog header

Supporting AT&T for 25 years

We’ve come a long way since launching the AT&T MPLS capability in EMEA 25 years ago. At that time – due to the millennium bug – the IT function was mid-planning for tech meltdown and business was thinking about social Armageddon.  

Way back in 1999 (yes, the previous century), AT&T was looking for a B2B tech marketing agency to run a pan-European programme to improve market education on improved traffic management in the enterprise WAN. And after a comprehensive pitch process, we answered the call. 

Little did we know back then that our relationship would endure for another couple of decades. 

Transformational technologies and opportunities

Winning AT&T added a marquee brand to our client list. Any tech agency would be proud to support the world’s largest telco brand, said Andrew Miller, co-founder, The Rubicon Agency. “After a successful MPLS programme that created a good pipeline of opportunity, we were introduced to a number of functions and teams that allowed us to deepen our partnership. These operations were receptive to an agency dedicated to B2B tech. 

Since then, the agency has had the pleasure of supporting many portfolios across the organisation – geographically and technologically. These include IoT, unified communication & collaboration, mobility, networking, consulting and contact centre. And go-to-market teams such as Education, Retail, APAC, EMEA and Global. 

The Rubicon Agency: a great B2B marketing combination

Maintaining a relationship with a powerhouse like AT&T over such a significant time is no mean feat. With an absolute focus on tech marketing, we’ve got a great track record of delivering results for AT&T – with moments of magic and mojo across many campaigns”, said Andrew Miller. “Whether simplifying propositions or creating new notions and leadership conversations, we look to make our marketing impact deliver a multiple of what AT&T invests with us at the outset”. 

With over 400 projects under our belt, you’d maybe think that things are winding down. But far from it. Our B2B marketing journey continues – with new assignments for AT&T Labs, AT&T Connected Wearables and AT&T Cloud Voice. Things remain busy.   

Here’s to the next 25 years!  

Explore our latest projects for AT&T