Why your best customers aren't who marketing thinks they are

Ask marketing to describe the ideal customer. You will get a profile: industry, company size, job title, pain points, buying triggers. The profile will be documented. It will inform targeting, messaging, and channel selection.

Now look at the last ten deals that closed. The last ten customers who renewed and expanded. The last ten referrals that converted. How many of them match the profile?

In most organisations, the answer is uncomfortable. The customers marketing targets and the customers who actually buy are overlapping but distinct populations. The profile captures some of reality, but misses patterns that only become visible in hindsight.

How the mismatch develops

Ideal customer profiles are typically built from a combination of assumptions and aspirations. We assume certain industries are a good fit because we have case studies there. We aspire to sell to larger companies because the deal sizes are bigger. We target specific job titles because those are the people we know how to reach.

These inputs are not wrong, but they are incomplete. They describe who we want to sell to, not necessarily who wants to buy from us. They reflect our view of the market, not the market's view of us.

Meanwhile, actual customers arrive through paths the profile did not anticipate. A referral from an adjacent industry. A smaller company that found the budget because the problem was urgent. A different job title who happened to have both the pain and the authority. These customers close faster, expand more reliably, and refer more often — but they do not match the profile, so they are treated as exceptions rather than patterns.

The cost of the mismatch

When marketing targets one population and sales closes another, several things go wrong.

Wasted Attention investment. Marketing spends budget reaching people who match the profile but do not convert. The campaigns are not failing — they are reaching the intended audience. The audience is simply not the right one.

Misaligned messaging. The value proposition is crafted for the profile, not for the actual buyers. It emphasises benefits that matter to the target persona, which may not be the benefits that drive real purchase decisions. Sales compensates by going off-script, but this creates inconsistency and makes the marketing-to-sales handoff unreliable.

Invisible success patterns. When customers who do not match the profile succeed, their success is not studied. No one asks why they bought, why they stayed, why they referred. The patterns that could inform better targeting remain hidden because they contradict the documented strategy.

False confidence in pipeline. Pipeline is evaluated against the profile. Deals that match the profile are considered "qualified" even if they are not progressing. Deals that do not match are considered risky even if they are moving quickly. The qualification framework optimises for profile fit rather than buying intent.

The Attention problem

This is an Attention problem, but not in the way most teams diagnose it. The problem is not insufficient visibility. The problem is misaligned visibility. Marketing is successfully attracting attention — just not from the people most likely to buy.

The instinct when pipeline is weak is to increase volume. More campaigns, more content, more outreach. But if the targeting is misaligned, more volume produces more of the wrong attention. Cost increases. Conversion stays flat. Sales complains about lead quality. Marketing defends the metrics.

The correct intervention is not more attention. It is better-aligned attention. Which requires understanding who actually buys, not who the profile says should buy.

Finding the real pattern

The data to identify real buying patterns usually exists. It is just not assembled in a way that reveals the pattern.

Start with closed-won deals from the past eighteen months. Not the logos you put in the pitch deck — all of them. Look for commonalities that the profile does not capture. How did they find you? What triggered the purchase? Who was the actual decision-maker? What objections did they not raise? What made them move quickly?

Then look at the deals that did not close. Not the ones that were never real — the ones that were real but stalled. What did they have in common? Were they profile-perfect but missing something the profile does not measure?

The pattern that emerges is often surprising. The best customers share characteristics that feel obvious in retrospect but were invisible in the targeting strategy. A specific type of urgency. A particular organisational structure. A buying process that matches your sales motion. These characteristics matter more than industry or company size, but they are harder to target — which is why they get left out of the profile.

Updating the profile

The goal is not to abandon the ideal customer profile. It is to make the profile reflect reality rather than aspiration.

This requires treating the profile as a hypothesis, not a strategy. The hypothesis is: "These are the characteristics that predict buying intent and customer success." The evidence is: "Here is what actually happened with real customers." When the evidence contradicts the hypothesis, the hypothesis needs to change.

This is harder than it sounds. Profiles become embedded in systems — in targeting criteria, in lead scoring, in sales qualification, in reporting. Changing the profile means changing the systems. It means admitting that previous investment was misallocated. It means having uncomfortable conversations about why the strategy did not match reality.

But the alternative is continuing to invest in attention that does not convert. Continuing to wonder why marketing metrics look healthy while pipeline does not. Continuing to treat successful customers as exceptions rather than learning from them.