It is the reflex. The downloads health metric has ruled mobile for fifteen years, the number that shows up in press releases and board decks and app store rankings. If downloads are up, the thinking goes, the app is winning.
The data just cut that logic off at the knees. In 2026, the downloads health metric stopped telling the truth about health.
Sensor Tower’s State of Mobile 2026 report lays it out plainly. Downloads grew just 0.8% year over year, essentially flat. In-app purchase revenue surged 10.6% to reach $167 billion. The market is not slowing down. It is getting dramatically healthier by every measure that involves money, while the download number sits almost perfectly still. Anyone still using downloads as their headline health metric is reading a dashboard that broke a while ago and never got fixed.
Here is what that structural shift means, from the media buying chair and the creative chair.
The disconnect is not a blip. It is a structural change the US market has been telegraphing for years, with downloads actually declining in some mature markets while revenue climbs. The rest of the world is now following the same curve.
The reason is simple once you see it. The install base is saturated. Most people who want a photo editor, a banking app, a puzzle game, or a streaming service already have one. There is no longer a fresh wave of first-time smartphone owners downloading their first fifty apps. Growth stopped coming from new installs and started coming from getting more value out of the users who are already here.
The numbers make the size of the shift concrete. Global in-app purchase revenue hit $167 billion in 2025, growing around 10% year over year, while downloads landed near flat. In mobile gaming specifically, revenue per download grew 9.2% to $1.62 even as download volume fell 7.2%. Read that again. Downloads went down, revenue per download went up enough to more than compensate, and the category got healthier while its headline install number shrank.
A team watching the downloads health metric would have looked at that gaming data and concluded the market was contracting. A team watching revenue per download would have correctly seen a market that was maturing and monetizing better. Same market, opposite conclusions, entirely because of which number sat at the top of the dashboard.
From the UA chair, treating downloads as the health metric quietly corrupts every decision downstream of it.
If installs are how you keep score, then cost per install becomes your efficiency metric, install volume becomes your growth metric, and the algorithm gets pointed at finding the maximum number of installs your budget can buy. Every one of those choices optimizes toward a finish line that the market has already moved past.
The market repriced this. Global mobile install spend still reached $94 billion in 2026, but the smart money inside that number shifted toward value-based bidding. Retention-tied bidding through target ROAS and predictive LTV is now the default for any app with a subscription tier, precisely because installs stopped correlating with health. When the industry-wide install-to-purchase conversion rate sits at a median of 1.5% for non-game apps and under 1% for games, the install is the very top of a long funnel, and optimizing for the top of the funnel while ignoring the bottom is how budgets get wasted at scale.
The buying discipline that follows from this is straightforward. Read installs as a volume input, not a health output. Point the algorithm at the events that correlate with revenue, whether that is a purchase, a subscription start, or a high-value in-app action. Judge a campaign on revenue per cohort and payback period, not on how many installs it produced. A campaign that drove fewer installs at a higher revenue per download is the campaign that got healthier, and a downloads-first read of it will tell you the opposite every time.
From the creative chair, the downloads myth produces a specific and expensive mistake. It briefs creative to maximize installs when it should brief creative to attract payers.
Those are different jobs that produce different ads. Creative optimized for install volume leans on the broadest possible hook, the flashiest attention grab, the lowest-friction promise, anything that converts a casual scroller into a download. It works. It generates installs. And it fills the app with people who had no real intent to pay, which is exactly the cohort that shows up in that sub-1% conversion rate.
Creative optimized for revenue does something harder. It shows the actual value. It sets an accurate expectation of what the product does and who it is for, so the person who installs already understands why they might pay. That accurate expectation is what carries a user from install through the funnel to the purchase that actually signals health. The install-to-purchase conversion rate everyone is trying to lift starts in the creative, because the creative decides who installs in the first place.
There is a monetization-model wrinkle worth naming too. Ads still account for roughly 65% of total mobile app revenue, with in-app purchases around 33%, which means for many apps the healthiest user is one who engages deeply and generates ad revenue over months rather than one who pays directly. Creative that attracts genuinely engaged users serves both models, because engagement is what produces ad revenue and what precedes purchase revenue. Creative that attracts install-and-forget users serves neither, no matter how good the download number looks on the day the campaign launches.
The through-line is that creative is the first filter in your monetization funnel. What it attracts determines what you can eventually earn. Briefing it toward downloads optimizes the one number that stopped meaning anything.
The downloads myth persists because of a reporting habit, and breaking it requires the media side and the creative side to change what they measure at the same time.
If the UA team switches to value-based bidding but the creative team is still briefed to maximize installs, the two work against each other. The bidding tries to find payers while the creative keeps attracting downloaders, and the mixed signal shows up as inconsistent performance nobody can quite diagnose. If the creative team builds for payers but the UA team still optimizes toward install volume, the algorithm actively works to undo the creative’s qualification by chasing the cheapest possible download.
The fix is a shared definition of what a healthy user is, applied on both sides at once. When the creative brief and the bidding strategy are both pointed at revenue rather than installs, they reinforce each other. The creative attracts users with genuine intent, the algorithm optimizes toward the value those users generate, and the numbers that actually indicate health- revenue per cohort, payback period, conversion rate- all start moving together.
That alignment is far easier when the people buying the media and the people building the creative are one operation reading the same revenue data. When they are separate, the downloads number tends to survive as the shared metric simply because it is the one both sides can see, which is exactly how a broken metric outlives its usefulness.
Downloads had a good run as the go-to number for mobile, and that run is over. The downloads health metric grew its number by just 0.8% while the market grew revenue more than ten times faster in 2026, which means any strategy anchored to install volume is optimizing toward a number the market has already left behind. Health now lives in revenue per user, retention, and conversion, not in raw installs.
The media buying move is to bid toward value and read installs as an input rather than an outcome. The creative move is to build for the payer instead of the downloader, because the creative is the first filter that decides who enters your monetization funnel. Both sides have to change the metric at the same time, or they spend their effort canceling each other out.
If your download numbers look fine but your revenue is not following them, the problem is almost always that the two halves of your growth engine are still measuring the wrong thing. Reach out and let’s get into it.
