For years, the math behind mobile game user acquisition was simple. Pay a fixed price per install. Hope some of those players spend money. Scale what works. It was a volume game, and the companies that won were the ones that could drive the most installs at the lowest cost.
That model is breaking down.
The shift has been building since 2021, when Apple rolled out App Tracking Transparency. The privacy framework made it dramatically harder to track and target users across apps. Overnight, the old playbook stopped working. Flood the App Store with incentivized installs, climb the charts, ride the organic wave. That whole approach depended on data Apple suddenly locked down. But the deeper change was not about tracking at all. It was about what the industry was finally forced to confront: most of those installs were never worth much to begin with.
The Concentration Problem
In mobile gaming, a small fraction of players drive most of the revenue. Estimates of how small vary by study and genre, but industry analyses generally place the top 1 to 5 percent of spenders behind 50 to 80 percent of in-app purchase revenue. Influence Mobile’s own player data puts roughly 0.35 percent of players behind about 75 percent of spending, a narrower slice than most published figures. Either way, the majority of installs never return more than they cost to acquire — a fact the industry has largely built its model around rather than solved.
For a long time, that worked. If you could buy installs cheaply enough, the math held up. The big spenders subsidized everyone else. But as user acquisition costs have risen and tracking has gotten harder, that math has stopped adding up. Developers are paying more to acquire players at the exact moment they can see less about which ones are actually worth it.
“The industry spent a decade optimizing for the wrong thing,” says Daniel Todd, CEO of Influence Mobile, a rewarded-gaming platform that connects game developers with high-value players. “Everyone was chasing install volume because it was easy to measure. Player quality was harder to see, so most people didn’t look.”
Influence Mobile operates a platform that rewards players for engaging with games and completing offers, and has spent years assembling data on what makes a player valuable over months and years rather than in week one. The company has placed in the top tier of the AppsFlyer Performance Index and the Singular ROI Index — third-party rankings of ad networks by retention and measured return — in editions published between 2022 and 2025.
Quality Over Quantity
The company’s approach is built on an insight that took years to validate. Not all players are created equal, and the differences are predictable if you have enough data.
Between 2018 and 2020, Influence Mobile ran hundreds of experiments testing different ways to reward and price players. Most of them revealed nothing new. Then one pattern broke through. Older female players, a demographic the rest of the industry barely glanced at, were converting and spending 60 to 70 percent more than anyone else on the platform. It was not a marginal edge. It was a different game entirely.
That insight, combined with a surge in available ad inventory during the pandemic, helped the company grow from $3 million in annual revenue to $60 million over four years.
But Todd is the first to admit that demographic segmentation alone was not the answer. As the market tightened and Apple’s privacy changes took hold, the company found itself in a bind. The more granular its targeting got, the better performance looked on paper. But the harder it became for clients to manage the growing complexity of their campaigns.
“At the top of our client companies, better performance was exactly what people wanted,” Todd says. “But we weren’t dealing with the top of the company day to day. We were dealing with account managers juggling hundreds of campaigns at once. For them, what we thought of as improvement often just looked like more work.”
The catch-22 was brutal. The smaller and more granular a segment got, the easier it became for an overloaded account manager to just turn it off rather than manage it. The company was engineering its own best ideas into the first thing that got cut.
The Pricing Problem
The real issue was not segmentation. It was the pricing model itself.
“Fixed-bid pricing assumes every player is worth the same amount, and they’re not,” Todd explains. “The industry has known this for years, but nobody had built a system that could price players based on their actual predicted value over time. So everyone just kept bidding the same way and hoping for the best.”
Influence Mobile’s answer was Amplify, a system launched earlier this year that uses more than five years of data to predict player quality and price it accordingly. The dataset is substantial: over 500,000 player spend histories representing more than $100 million in client revenue. Instead of charging the same price for every install, Amplify adjusts pricing based on the player’s predicted long-term value.
The company followed Amplify with Vintage, a further refinement that addresses pricing inefficiencies the first system exposed. Todd says the combined approach has produced what he describes as a $500,000 monthly improvement to EBITDA. Influence Mobile is privately held and does not publish financial statements, so the figure could not be independently verified.
Not all rewarded advertising channels are built the same, even when the dashboards make them look identical. Some are good at manufacturing a hot week one: a burst of engagement that fades fast and never comes back. Others play the long game. Players who stay for months, sometimes years, and quietly generate more value than any first-week number could ever hint at.
“While budgets were flush, nobody had to choose,” Todd says. “Growth blended the flashy and the durable together, and every channel looked fine. But the moment marketing spend compressed, the short-term channels suddenly looked like the smart, defensible choice. Cheaper. Easier to justify in a spreadsheet. Meanwhile the channels quietly producing our best long-term players started to look, on the surface, like the underperformers.”
What’s Next for Mobile UA
The broader industry is moving in the same direction, if slowly. Measurement firms like AppsFlyer and Singular have increasingly emphasized player quality metrics over raw install counts. Game developers, squeezed by rising costs and tighter budgets, are asking harder questions about which channels actually produce players who stick around and spend.
The stakes are large. Mobile games generated an estimated $92.6 billion globally in 2024, according to Newzoo’s Global Games Market Report — roughly half of all game revenue worldwide — and the bulk of it came from in-app purchases made by a small minority of players. That makes user acquisition less a growth lever than the core of the business model.
“The companies that are going to win over the next five years are the ones that stop optimizing for week-one metrics and start optimizing for year-one metrics,” Todd says. “That sounds obvious, but it requires a completely different data infrastructure, and most companies don’t have it yet.”
The move toward quality metrics is already visible at the measurement layer, where the major attribution firms now rank networks on retention and return rather than volume alone. Whether it reaches pricing — where most networks still bill by the install — is the slower question, and the one that determines whether any of this changes what developers actually pay.
