Klarna's CMO Is Right: Brand Fandom Metrics Are Survivorship Bias in Disguise

Klarna has 150 million active users, a $15 billion valuation, and one of the most recognizable visual identities in fintech. Its CMO just told the marketing industry to stop chasing fandom.

The quote from MarketingWeek is worth reading slowly: Klarna's CMO told the publication that too many brands "drink the Kool-Aid" on the idea of fandom, and that brands talking about becoming part of pop culture are fundamentally misguided. The advice is not to be edgier or contrarian. It is to be "true to themselves" and stop confusing fan communities with business outcomes.

This lands as a provocation from someone who has no reason to be humble about brand building. Klarna's pink has become shorthand for a category. If anyone has earned the right to lean into fandom as a growth lever, it is them. And yet the CMO is publicly arguing against it.

The reason is worth unpacking. Not because Klarna is giving away competitive intelligence, but because the critique reveals a structural flaw in how most marketing teams measure their own effectiveness. Brand fandom metrics are not just imprecise. They are measuring the wrong population entirely.

Why Brand Fandom Feels Compelling but Measures the Wrong Thing

Fandom metrics (follower counts, community engagement, social mentions from devoted buyers, net promoter scores among loyalists) all share the same design flaw: they are drawn from the set of people who already converted.

This is survivorship bias applied to marketing measurement. In portfolio analysis, survivorship bias occurs when you evaluate the performance of funds or stocks by only looking at the ones that still exist. The failed ones have been removed from the dataset. The average performance of "surviving" investments looks impressive precisely because the underperformers dropped out.

Brand fandom works the same way. Your most engaged community members, your brand advocates, your NPS promoters: these are by definition the people who found your brand, connected with it, bought from it, and kept buying. They are your successes. And measuring them tells you almost nothing about the much larger population of people who are emotionally available to buy but have not yet committed.

Call that population the uncommitted middle. They are familiar with your brand. They have positive associations. They might purchase under the right conditions. But they are not fans, so they do not show up in fandom metrics. And they represent the actual growth opportunity.

When brands optimize for fandom, they invest in deepening relationships with people who are already customers. This has some value. Retention matters. Advocacy has some multiplier effect. But the return on fandom investment is structurally limited because you are iterating on a population with diminishing upside. The marginal enthusiast you convert from "fan" to "superfan" does not grow revenue the way converting one person from "aware but uncommitted" to "first purchase" does.

What Klarna's CMO Is Actually Diagnosing

The fandom trap has a behavioral mechanics component that makes it sticky even when marketers know intellectually that it is a vanity play. Fandom is visible. It is measurable in real time. Community engagement numbers move in ways that feel responsive to creative decisions. When a brand posts something that resonates, fans respond immediately. The feedback loop is fast and emotionally gratifying.

The uncommitted middle, by contrast, gives almost no direct feedback. They are not in your community. They do not leave comments. Their attention is diffuse and their relationship to the brand is latent rather than active. Measuring movement in this population requires longer time horizons, messier attribution, and less satisfying signal. The behavioral science of choice architecture would predict that marketers will systematically underinvest in reaching the uncommitted middle because the feedback environment does not reward that investment emotionally.

This is the specific thing Klarna's CMO is pushing back against. Not creativity. Not brand building. The specific delusion that fan engagement is a proxy for business health. It is a proxy for how enthusiastic your existing customers are. Those are different questions.

We have explored adjacent dynamics on this site before. The rationalization system that keeps marketers attached to fandom strategies operates through a similar mechanism: the people who are most enthusiastic about a strategy are usually the people most exposed to its success cases, not its base rate. The brand teams who build community programs are surrounded by the people who love those programs. Of course the strategy looks good from inside that feedback loop.

The Behavioral Science: Emotional Resonance Beats Loyalty Architecture

Here is where the data becomes instructive rather than just provocative.

Roger Dooley's analysis at Neuromarketing documents what a decade of neuromarketing research consistently shows: advertising that engages people emotionally outperforms advertising built on rational argument, regardless of the category. This is not a surprising finding to anyone who has studied consumer behavior. But Dooley's observation about executive skepticism is worth noting. Business leaders who believe they personally are not influenced by emotion are the same people who design campaigns built on feature lists and logical appeals, and those campaigns consistently underperform.

The connection to fandom measurement is direct. Emotional resonance and loyalty are related but distinct phenomena. You can have high emotional resonance with people who are not yet customers. You can have low emotional resonance with people who keep buying out of inertia or switching costs. Fandom metrics, because they are drawn from the existing customer base, cannot distinguish between these states.

The brand that is building genuine emotional connection with the uncommitted middle is doing work that does not show up in community metrics at all. It shows up eventually in conversion, but the lag between emotional brand-building and measurable acquisition is long enough that most quarterly-pressured marketing organizations never close the attribution loop. The result is a systematic undervaluation of the advertising and brand work that actually grows businesses, in favor of community management and fandom cultivation that feels more measurable even when it measures less.

The Allbirds story illustrates this failure mode from the other direction. Allbirds had extraordinary fandom among its initial customer cohort. Sustainability advocates, premium sneaker buyers, direct-to-consumer enthusiasts: all intensely loyal. But the brand struggled to expand beyond that core. The community was real. The advocacy was genuine. The fandom did not translate into the kind of broad emotional accessibility that builds a durable mass-market brand. When Allbirds finally needed to reach the uncommitted middle, it had no established pathway there.

Time Is the Variable Brands Are Actually Competing For

Branding Strategy Insider frames the central resource correctly: brands are competing for time. Not clicks. Not followers. The actual minutes of attention that a consumer allocates, and the emotional state they are in when they allocate them.

This reframes the fandom problem usefully. Fan communities are, by definition, places where brand time is already secured. The fans are there. They are engaged. They will consume whatever content the brand produces. But they represent a small and already-committed portion of total available time in the category.

The uncommitted middle allocates attention differently. Their engagement with any given brand is episodic and context-dependent. They encounter the brand in media, in retail, in conversation, in recommendation contexts. The emotional quality of those encounters, over time, determines whether they ever cross from aware to purchased. This is why the "time battleground" framing is more operationally useful than the fandom framing: time-based measurement forces you to ask where your brand is showing up in your potential customer's day, not just in your existing customer's community.

The brands that are winning the time competition tend to look less like community managers and more like media properties with clear emotional identities. They are legible to people who have never bought before. Their message is not optimized for depth of engagement among devotees but for clarity of signal across a wide audience. That is a different creative and measurement philosophy than fandom cultivation, and it tends to produce different outcomes at scale.

This intersects with a pattern we have tracked around behavioral data's half-life in agentic commerce: the behavioral signals that describe existing customers decay faster than most brands expect, which means the real competitive advantage is in building fresh emotional associations with people who are not yet in the customer database at all.

Why AI Tools Will Make This Problem Worse Before Better

There is a structural reason the fandom trap will intensify, and it connects directly to McKinsey's recent analysis on scaling agentic AI in product development. The McKinsey argument is about software teams, but the underlying dynamic applies to brand teams equally: AI tools get very good at optimizing within a defined system before they improve the system itself.

Applied to brand fandom: AI-powered community management, personalization engines, and loyalty programs make it dramatically easier to deepen engagement with existing fans. The tooling for serving known audiences has improved by an order of magnitude in the past two years. The tooling for building emotional connection with unfamiliar audiences, for reaching the uncommitted middle with legible and resonant brand messaging, has improved much more slowly.

This is the original prediction worth making explicit: AI does not fix the survivorship bias problem in brand measurement. It amplifies it. Brands will be able to measure, serve, and engage their fan communities with increasing sophistication. The metrics will look better than ever. And the uncommitted middle will remain invisible and unmeasured while the opportunity cost quietly compounds. The AI stack today is excellent at exploiting existing relationships and considerably less developed at building new ones across a cold audience.

Klarna's CMO is not making an aesthetic argument. The critique is structural. If your measurement system only sees your fans, and your tools are increasingly optimized to serve your fans, you are building a more sophisticated machine that addresses a smaller and smaller portion of your potential market.

The practical implication is not to abandon community building. Retention has real value. The implication is to change what organizational success looks like. A brand team that measures fandom will optimize for fandom. A brand team that measures time-weighted emotional association across the full potential audience will invest in broad reach with emotionally coherent creative, track brand health surveys among non-customers, and treat acquisition metrics as a lagging indicator of emotional brand work rather than a leading one.

The fandom metrics are faster and more politically defensible in quarterly reviews. The behavioral data on the uncommitted middle is slower and messier. But the CMO of a company with 150 million active users just said publicly that the fandom path leads somewhere companies do not want to go. The behavioral science agrees. And the math of survivorship bias says the only way to find out is to start measuring the population you have been ignoring.

If you are thinking through what this measurement shift looks like in practice, the decision intelligence research at smarttechinvest.com/research covers frameworks for reorienting brand measurement systems toward full-funnel emotional signals rather than fan engagement proxies.