Persona Definition Is Broken. Here’s How to Fix It.

Persona definition is the process of building structured profiles of your target customers, capturing who they are, what they want, and how they make decisions. Done well, it gives every part of your go-to-market effort a shared reference point. Done badly, it produces a laminated sheet of demographic fiction that nobody uses after the kickoff meeting.

Most personas sit in the second category. The problem is not that marketers do not care about their customers. It is that the process for building personas has drifted so far from commercial reality that the output is almost always decorative rather than functional.

Why Most Personas Are a Waste of Time

I have been in rooms where teams have spent two full days workshopping personas. Sticky notes everywhere. Empathy maps on the wall. Someone has given each persona a name and a stock photo. By the end of the workshop, the room feels energised. Six weeks later, nobody is referring to those personas when making actual decisions. The media plan does not change. The messaging does not change. The personas have become wallpaper.

This is not a failure of effort. It is a failure of design. The personas were built to feel thorough, not to be useful. And there is a difference between those two things that most marketing processes never stop to examine.

The standard persona template asks for age range, job title, income bracket, goals, frustrations, and preferred social media platforms. It is a reasonable starting point. But it rarely gets past the surface. What it does not capture is the decision-making context: what triggers the buying process, who else is involved, what objections kill deals, and what language the customer actually uses to describe their problem. Those are the things that change how you write a headline, structure a landing page, or brief a sales team.

Demographic data describes who someone is. Behavioural and contextual data describes how they buy. The first is easy to gather and largely useless. The second is harder to get and changes everything.

What a Persona Actually Needs to Do

Before you build a persona, ask one question: what decision will this persona change? If you cannot answer that, you are building a document, not a tool.

A well-constructed persona should be able to answer at least three of the following questions with specificity:

• Which channels are worth investing in for this segment?
• What message should lead in paid media, and what should it say?
• What content formats are most likely to drive engagement at each stage?
• What objections need to be pre-empted in sales materials?
• What language does this customer use when describing their problem?

If your persona cannot answer those questions, it is not a strategic tool. It is a character sketch. Character sketches are fine for novelists. They are not fine for go-to-market planning.

Persona definition sits at the core of effective go-to-market strategy. If you are thinking about how it connects to positioning, channel selection, and growth planning, the broader framework is covered in the Go-To-Market and Growth Strategy hub.

Where Good Persona Data Actually Comes From

Early in my career, I inherited a set of personas that had been built from a commissioned research survey. Hundreds of respondents, cross-tabulated data, the full treatment. They looked authoritative. The problem was that the survey had been designed by the marketing team, which meant it asked the questions the marketing team already thought they knew the answers to. The output confirmed existing assumptions rather than challenging them.

The most useful persona data I have ever worked with came from three sources: recorded sales calls, customer support tickets, and one-to-one interviews with customers who had churned. Not the ones who stayed and were happy. The ones who left. Those conversations are uncomfortable and extremely informative.

Sales calls tell you what language prospects use before they become customers. Support tickets tell you where the product or service fails to meet expectations. Churn interviews tell you what the competition offered that you did not. None of that information lives in a survey. All of it is essential for building personas that reflect commercial reality rather than marketing aspiration.

Secondary sources have their place. Sector reports, platform audience data, and tools that map market penetration and competitive positioning can provide useful context. But they should be used to validate and pressure-test primary research, not to replace it.

One more thing worth saying: the people in your organisation who know your customers best are usually not in marketing. They are in sales, in customer success, and in support. Any persona-building process that does not involve those teams is working with incomplete information from the start.

The Persona Proliferation Problem

There is a pattern I have seen in organisations of almost every size. The persona workshop starts with good intentions. Someone suggests they need to capture the full range of their audience. By the end of the session, they have twelve personas. Sometimes more.

Twelve personas is not a strategy. It is a failure to prioritise.

When I was running iProspect and we were scaling the team from around 20 people to over 100, one of the discipline problems we kept running into was over-segmentation. Clients would arrive with vast audience taxonomies that had been built over years, each segment with its own persona, its own messaging framework, its own set of creative requirements. In theory, it looked like sophistication. In practice, it meant that nothing was executed well because resources were spread across too many targets with too little depth.

The organisations that executed best had two or three personas they understood deeply. They knew exactly what triggered a purchase decision for each one. They had tested messaging against each one. They had built creative that spoke directly to each one. That focus produced better results than twelve loosely defined segments ever did.

The discipline of persona definition is not just about building the profiles. It is about deciding which segments are worth the investment of building a profile at all. That is a commercial decision, not a research exercise. It requires honest conversation about where your revenue actually comes from and where the realistic growth opportunity sits.

B2B Personas Are a Different Problem

Most persona frameworks were designed with B2C in mind, where the buyer and the user are often the same person and the decision cycle is relatively short. Apply that framework to a B2B context and it starts to break down immediately.

In B2B, you are rarely selling to one person. You are selling to a buying committee. There is typically an economic buyer who controls the budget, a technical evaluator who assesses fit, an end user who will live with the decision, and often a champion who is advocating for you internally. Each of those roles has different priorities, different objections, and different ways of measuring success. A single persona cannot capture that complexity. A single persona should not try.

The more useful approach in B2B is to build role-specific profiles within a target account type, then map the buying experience across those roles. Where does the process start? Who initiates? Who has veto power? What does the evaluation stage look like? What happens in the final three weeks before a decision is made?

I worked on a pitch for a large enterprise software client where the marketing team had built a single persona: “the IT Director.” It was a reasonable starting point for one part of the audience. But the actual buying process involved a CFO who cared about total cost of ownership, a Head of Operations who cared about implementation disruption, and a procurement team who cared about contract terms. The IT Director was not even the final decision-maker. The persona had been built around the most visible stakeholder rather than the most influential one. The messaging was consequently aimed at the wrong person for most of the funnel.

BCG has written about the complexity of aligning go-to-market strategy across multiple stakeholder groups, and the challenge is real. Getting persona definition right in B2B is harder than in B2C, but the commercial upside of doing it properly is proportionally larger.

Jobs-to-Be-Done as a Persona Framework

One of the more useful shifts in how practitioners think about personas is the move toward jobs-to-be-done as an organising principle. Rather than building a profile around who someone is, you build it around what they are trying to accomplish and what is getting in the way.

The logic is straightforward. Two people with very different demographic profiles can have identical buying motivations if they are trying to solve the same problem. Conversely, two people with similar demographics can have completely different buying behaviour if they are using your product to accomplish different things. Demographic profiles flatten that distinction. Jobs-to-be-done surfaces it.

In practice, this means asking different questions during persona research. Not just “who are you?” but “what were you trying to do when you first looked for a solution like this?” Not just “what are your goals?” but “what was the trigger that made this a priority right now?” Not just “what are your frustrations?” but “what have you already tried and why did it not work?”

The answers to those questions produce something that looks less like a character profile and more like a decision map. And a decision map is far more useful for writing copy, planning campaigns, and briefing sales teams than a character profile ever is.

This does not mean abandoning demographic data entirely. It means using it as context rather than foundation. Knowing that your primary buyer is typically a 35-45 year old senior manager in a mid-size business is useful context. It is not, on its own, a persona.

The Baseline Problem in Persona-Driven Marketing

A few years ago, I sat in a presentation from a major holding company network. They were selling an AI-driven personalisation capability. The case study showed dramatic performance improvements: significant CPA reductions, conversion rate lifts that looked almost too good to be true. The room was impressed.

I asked what the creative had looked like before the AI personalisation was applied. It turned out the previous creative had been running for three years without meaningful refresh. The messaging was generic. The visuals were stock photography. The targeting had not been reviewed in over a year.

The performance improvement had nothing to do with the sophistication of the AI. It had everything to do with the fact that the baseline was terrible. You replaced poor creative with audience-relevant creative and performance improved. That is not a technology story. That is a persona story. The moment the messaging started reflecting what the actual audience actually cared about, the numbers moved.

This is one of the most underappreciated arguments for rigorous persona definition. It is not just a strategic nicety. It is a direct driver of media efficiency. When your creative speaks to a real person with a real problem in language they recognise, your cost per acquisition goes down. Not because of an algorithm. Because relevance is the oldest performance lever in marketing.

How to Build a Persona That Gets Used

The personas that get used are the ones that are built collaboratively, kept short, and connected directly to decisions. The ones that gather dust are the ones built in isolation by the strategy team, formatted as a ten-page document, and filed in a shared drive nobody visits.

Here is the approach that has worked best across the teams and clients I have worked with.

Start with the commercial question

Before you do any research, define what you are trying to decide. Are you choosing between two channels? Writing a campaign brief? Restructuring your content strategy? The persona needs to serve that decision. Start there.

Pull data from the right sources

Primary research comes first: customer interviews, sales call recordings, support ticket analysis, churn conversations. Secondary research comes second: platform audience data, sector reports, competitive positioning analysis. The ratio should be roughly 70/30 in favour of primary. Most organisations do it the other way around because primary research is harder to commission and takes longer.

Involve the people who talk to customers

Sales, support, and customer success should be in the room when personas are being built. Not consulted after the fact. In the room. Their pattern recognition across hundreds of customer interactions is worth more than any survey instrument.

Keep the format short and decision-focused

A persona that fits on one page gets used. A persona that runs to ten pages does not. The format should include: a short description of who this person is in context, the job they are trying to do, the trigger that initiates the buying process, the key objections they raise, and the language they use. That is it. Everything else is optional.

Test it against real decisions

Before the persona is finalised, run it against a real decision the team has to make. Does it change the answer? If not, something is missing. A persona that does not change decisions is not doing its job.

Set a review cadence

Markets change. Customer behaviour changes. A persona built 18 months ago reflects the world as it was 18 months ago. Build a review cadence into the process: quarterly for fast-moving sectors, semi-annually for more stable ones. Treat an unreviewed persona as a hypothesis, not a fact.

Negative Personas Are Worth Building

One element of persona work that is consistently underused is the negative persona: a profile of the customer you do not want. Not because they are bad people, but because they are a poor commercial fit. They take too long to convert, generate too much support load, churn too quickly, or have expectations your product cannot meet.

Negative personas are particularly valuable in two situations. First, when a business is growing fast and starting to attract customers outside its core segment, which is a common problem as go-to-market execution becomes more complex at scale. Second, when sales and marketing are in conflict about lead quality. A well-defined negative persona gives both teams a shared reference point for what “bad fit” actually means, which is a more productive conversation than the usual blame cycle.

I have seen businesses dramatically improve their sales efficiency simply by being clearer about who they were not trying to reach. It sounds obvious. It is surprisingly rare in practice.

Personas in the Context of Pricing and Channel Strategy

Persona definition does not live in isolation. It connects directly to pricing strategy, channel selection, and content planning. These are not separate workstreams. They are dependent on each other in ways that marketing processes often fail to reflect.

On pricing: understanding what a customer is trying to accomplish and what they have already spent trying to solve the problem gives you anchoring information for price positioning. BCG has explored how pricing strategy connects to go-to-market decisions in B2B contexts, and the connection is direct. If your persona research tells you that your primary buyer has already spent significant budget on failed solutions, they are price-sensitive in a specific way. They are not looking for cheap. They are looking for certainty. That changes how you frame value, not just how you set price.

On channels: a persona that tells you your buyer is a 42-year-old procurement manager does not tell you which channel to use. A persona that tells you your buyer spends the first 20 minutes of their day reading industry newsletters, does their product research on LinkedIn, and makes final decisions after a peer recommendation tells you exactly where to invest. Channel strategy should be a direct output of persona research. In most organisations, it is not.

On content: the language your customer uses to describe their problem is the language your content should use. Not the language your product team uses. Not the language your category uses. The language your customer uses. That information only comes from direct customer research. It cannot be reverse-engineered from keyword tools alone, though tools that surface search behaviour and competitive content gaps can help identify where demand already exists.

The Effie Lens: What Award-Winning Work Knows About Audiences

Judging the Effie Awards gave me a particular perspective on this. The Effies are one of the few award shows that require entrants to demonstrate business outcomes, not just creative quality. You have to show that the work moved a commercial metric.

What I noticed consistently in the entries that won was not that they had the most sophisticated persona research. It was that they had a very clear, very specific understanding of the moment in their customer’s life when the category became relevant. They knew not just who their customer was, but when they were most open to the message and what emotional or functional state they were in at that moment.

That level of specificity does not come from demographic segmentation. It comes from genuinely understanding how your customer’s life works and where your product or service fits into it. That is the standard persona definition should be aiming for. Not a profile. A moment. A context. A trigger.

The entries that failed, almost without exception, had done the opposite. They had built campaigns around what the brand wanted to say rather than what the customer needed to hear. The persona work, if it existed at all, had been used to justify a creative direction rather than to inform it.

When Persona Work Goes Wrong: Three Patterns to Avoid

Having been on both sides of this, as a practitioner and as someone reviewing other people’s work, the failures tend to cluster around three patterns.

The aspirational persona. This is a profile of the customer the business wants to have, not the customer it actually has. It is built from wishful thinking rather than data. The persona is younger, more affluent, more digitally engaged, and more brand-loyal than the actual customer base. Everything built on top of it is consequently misaligned with reality.

The committee persona. This is what happens when too many stakeholders are involved in the persona-building process and every objection gets accommodated. The result is a persona so broad it could describe almost anyone. “Sarah is 25-55, works in a professional role, is interested in value and quality, and uses multiple devices.” That is not a persona. That is a description of the general population.

The frozen persona. This is a persona that was accurate when it was built but has not been updated since. Markets shift. Customer behaviour changes. The pandemic alone reshaped buying behaviour across dozens of categories in ways that made pre-2020 personas unreliable almost overnight. A persona that has not been reviewed in two years is a liability, not an asset.

Avoiding these patterns requires the same thing that most good marketing requires: a willingness to be honest about what you know, what you do not know, and what the data is actually telling you rather than what you want it to say.

Connecting Persona Definition to Measurable Outcomes

One of the legitimate criticisms of persona work is that it is hard to measure. You cannot directly attribute revenue to the quality of your persona definition. That makes it easy to deprioritise when budgets are under pressure.

The way to address this is to connect persona quality to metrics that are measurable. If your personas are accurate and your messaging reflects them, you should see lower cost per acquisition in paid channels, higher email engagement rates, shorter sales cycles, and lower churn. None of those metrics are caused solely by persona quality, but all of them are influenced by it.

Forrester has written about intelligent growth models that connect customer understanding to commercial performance, and the through-line is consistent: organisations that invest in understanding their customers at a structural level outperform those that treat audience research as a one-time exercise.

The practical version of this is to track a small set of leading indicators before and after a persona refresh. What happens to qualified lead rate? What happens to average deal size? What happens to content engagement from the segments you are targeting? Those are not perfect measurements. But they are honest approximations, which is more than most persona work ever gets.

Persona definition is one of several strategic inputs that determine how well a go-to-market plan actually performs. If you are building or refining your broader growth strategy, the Go-To-Market and Growth Strategy hub covers the full framework, from positioning and channel strategy through to measurement and market entry planning.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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