Acquisition rising faster than loyalty
Paid installs cost more every year, and most of them never make it past the first week. You close that gap with a better first experience and channels that find players who'll stay, not with a bigger budget.
Growth Management · Games
Acquisition costs are up, the stores are crowded, and players have never had more choice. The games businesses pulling ahead aren't squeezing harder. They're building the best offer on the market: an experience players recommend, acquisition that finds the right people on Apple Ads, Reddit and beyond, and the loyalty that follows. Let's rebuild your growth engine from the ground up, usability, channels, offer and retention, all built on what players are actually telling you, with AI at the core rather than bolted onto spreadsheets from the side.
Built for the realities facing modern games businesses
The macro picture
Games are now a bigger business than film and recorded music combined, and the shape of that business has changed. Roughly half of all spend is mobile. The biggest titles across mobile, console and PC run as live services for years rather than shipping once, and growth follows the players who stay and bring their friends, not the players who arrive and leave. At the same time, the cost of reaching a new player keeps climbing, the store fronts are crowded, and the growth that used to come from "let's just buy more installs" now has to be earned. You earn it with an experience players talk about, offers that feel fair, and channels that find the right people.
Here's the hard truth. Most growth functions in games were built for a launch-and-scale world. Advertising, product, offer and community are run as separate workstreams, on separate tools, and the richest signal a games business has, what players are saying in reviews, subreddits, support and their own behaviour, is read quarterly, if at all. In today's market that costs you players every season. The businesses pulling ahead treat listening to players as the first growth lever, and rebuild everything else around it.
Paid installs cost more every year, and most of them never make it past the first week. You close that gap with a better first experience and channels that find players who'll stay, not with a bigger budget.
Confusing onboarding, buried features and small daily frictions cost more players than any competitor does. It's the single biggest pool of recoverable growth in the business, and the cheapest to fix.
Ad spend, product decisions, offers and player feedback are handled in disconnected tools on quarterly cycles. Players move weekly. The operating model has to change.
The five levers
We pressure-test all five, then rebuild the one with the most trapped value first. For most games businesses, that's the player experience itself.
The best acquisition channel any games business has is a player telling a friend. Yet usability is usually the least governed part of the growth picture: onboarding written once and never revisited, features players can't find, and the daily frictions nobody measures because they don't show up as a line in a report. We bring AI-driven analysis of where players get stuck and what they're asking for, experience-level measurement that links usability to retention and word of mouth, and a rhythm of fixes that compounds. In practice that lifts retention by double digits and turns the product itself into the growth engine.
Apple Ads, Reddit, creators and community channels, each measured on the players it brings who stay, so spend follows loyalty instead of installs.
Be the best offer on the market: pricing and tiers players see as fair, with value so clear they never need to compare.
Shift focus toward the moments and cohorts that turn a new player into a loyal one, with decision science that sees the whole player base at once.
Reviews, subreddits, support and behaviour read as one continuous signal, so every product, channel and offer decision starts from what players actually need.
Our thesis
Most "AI for growth" in games today is a model bolted onto a process designed for a spreadsheet and a quarterly roadmap. It speeds up a broken workflow. The real prize comes from redesigning the workstream around what AI makes possible: continuous, granular, connected decisions, made from the full picture of what players are saying and doing.
We rebuild growth as an always-on listening and decision engine. Usability fixes, channel spend, offers and retention moves are decided together, weekly, at segment level, with the community's own feedback read as one signal alongside the data. Humans set the strategy and the guardrails while the system does the heavy lifting. The businesses winning loyalty are redesigning the workstream rather than bolting AI onto the old one.
How we engage
Rapid, data-driven growth diagnostic across all five levers, including a full read of what your players are saying. Quantify the gap between your experience and their expectations, and rank it by speed-to-value.
Build the business case and pick the workstreams to rebuild, usually starting with the player experience, with a clear target for retention and loyalty.
Redesign the workstream: models, data, the player-signal loop, channel measurement, and the operating rhythm that makes it stick.
Prove value, then roll the engine across levers, titles and markets, with handover to your teams to own.
Who we are
GrowthEngine is a specialist growth consultancy for the games industry, combining 16+ years of commercial expertise with modern AI and a simple conviction: the businesses that listen hardest to their players, and build the best experience for them, win the most loyal ones.
We work shoulder-to-shoulder with product, marketing, community and commercial teams to turn the theory of "experience-led growth" into measurable retention, loyalty and word of mouth. You won't get a 200-slide deck that gathers dust. You get working systems and a clear scoreboard.
Sam Ford, Founder
Book a 45-minute strategy call. We'll walk your growth picture, pinpoint the biggest gap between your experience and what your players expect, and show you what an AI-native rebuild looks like for your business.