The data problem every serious app is about to face. Gaming has been living it for years.

This piece draws on Bain & Company’s Gaming Report 2026 as a primary source. I’ll flag where the data comes from and where I’m adding perspective from what we see at justtrack.

A note on the source

Bain & Company is one of the world’s leading management consulting firms. Their work in consumer and media industries is among the most cited in the business world. The 2026 Gaming Report — titled “Choose Your Player” — is based on a survey of more than 5,300 gamers across major markets worldwide. It is one of the more rigorous annual reads on where gaming revenue is going and why.

Bain & Company surveyed more than 5,300 gamers worldwide this year. One finding stood out more than the headline numbers: no single gaming experience appeals to more than 26% of players. The market has fractured into factions that want fundamentally different things, and they are not evenly distributed. The top 20% of paying players account for roughly three-quarters of total in-app revenue. Content creators purchase in-app at twice the average rate. Teenage players buy in-app at rates that drop off sharply with age.

The easy read on this is that gaming is getting harder. The accurate read is that gaming has arrived somewhere that every other app category is now heading.

Streaming services are learning that their subscriber base is not one audience. Subscription apps are discovering that LTV varies wildly by acquisition source, device, and timing of first engagement. Media companies are realizing that the broad reach playbook that worked for linear TV does not work when you are paying for every individual install.

These are not new problems. They are gaming problems. And gaming had to solve them years ago.

Why gaming built what it built

Gaming’s economics are demanding in a specific way. You cannot rely on the average user. There often is no average user. There is a small group of highly engaged players who determine whether a title lives or dies, and a much larger group who drift in and out. If your measurement infrastructure treats them the same, you make the wrong decisions constantly: you over-invest in channels that bring volume but low LTV, you miss the cohorts that actually drive revenue, and you optimize for acquisition metrics that have no connection to the business outcomes that matter.

Gaming studios learned, often the hard way, that they needed attribution at the individual and cohort level, not just at the campaign level. They needed to understand which channels brought which users, and what those users did six weeks after install. They built portfolio management because running five titles without visibility across them means leaving cross-title signal on the table. They built anomaly detection because a problem with attribution on a Monday can cost you real money by Thursday if nobody notices.

None of this is exotic. It is just what you build when you cannot afford to be wrong.

The Bain data makes a specific point about what comes next

The report notes that global gaming software revenue is now growing at roughly 3% annually, well below the pandemic-era peak. The growth era of “build it and players will come” is over. The next lever, Bain argues, is not more players. It is understanding the players you already have well enough to serve them better, retain them longer, and grow revenue per user.

That is a measurement-first argument. It requires knowing (not estimating, not averaging) what is happening at the individual and cohort level.

The same logic applies directly to any app business that has moved past its early hypergrowth phase. When you can no longer rely on the market growing fast enough to cover your inefficiencies, the companies that know their data win.

A necessary nuance

I want to be careful here, because the “focus on your best users” argument gets misread.

Byron Sharp and others have made a rigorous case that brand growth comes from penetration: reaching more people, including the light buyers who make up most of the market, not from over-investing in your heaviest users. That argument is correct, and it matters. The companies that have abandoned brand investment and brand building in favour of pure performance marketing have generally paid for it. The data on this is consistent enough that it should make any growth marketer cautious.

The point of this article is not that performance marketing beats brand. The point is that you need the measurement infrastructure to make that trade-off consciously. The gaming companies that have navigated this best are the ones who could look at their data and say: here is what paid acquisition is contributing, here is what organic and brand-driven growth looks like, here is where the two interact. That is a measurement question before it is a strategy question. And most non-gaming app companies cannot answer it yet.

The gap is real, and it is closing

Bain’s report notes that only a small number of gaming companies have built the infrastructure for true individual-level personalization and measurement. Most are in wait-and-see mode. Outside gaming, the gap is wider.

Streaming platforms, subscription apps, and media companies are dealing with the same fragmented, concentrated user base that gaming confronted years ago. Some are building measurement infrastructure from scratch. Most are still running campaigns with tools that aggregate where they should differentiate.

The studios and publishers that got this right did not do it by adding more dashboards. They did it by consolidating their measurement (attribution, cohort analytics, portfolio view) into a single source of truth, and then building every channel and budget decision on top of that.

That is the playbook. It was forged in gaming. It works everywhere the economics are the same: where your users are not interchangeable, where LTV varies enough to matter, and where the cost of getting it wrong compounds faster than you can correct it.

Which, in 2026, describes most serious app businesses.

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