Studios call a mobile game consultant for one of five reasons: soft launch numbers do not match the pitch deck, UA spend is not returning, retention has flattened, monetisation is stuck, or growth has plateaued and nobody on the team can say exactly where. The right moment to bring in senior help is before you scale spend on a funnel nobody has diagnosed. After another six figures of UA, the work changes from prevention to autopsy.
A mobile game consultant is a senior independent advisor who locates the product, acquisition, retention or monetisation constraint blocking a title from scaling, then sequences the fixes against measurable KPIs. A publisher takes a revenue share and usually takes control with it. An agency runs media. A consultant has no position in the outcome beyond being right, which is the only reason the diagnosis is worth anything. Most engagements run four to twelve weeks on one bottleneck, and end with a plan the team can execute itself, brief to a publisher, or use to hire the right specialist.
If you are already at that decision point, you can book a strategy call or read more about the mobile game consultant practice. For everyone else, the rest of this page maps the five reasons studios call, and what a first pass should actually look at.
Key Takeaways
- The first job is locating your numbers in a distribution, because a soft launch reading only means something once you know whether you are looking at a median, a top quartile, or the best hundredth of the market
- Median D7 retention across the market is 3.4% to 3.9%. A D7 that looks alarming is often just ordinary, and ordinary is the actual problem: the median mobile game cannot sustain paid acquisition
- Liftoff measured D30 return on ad spend for casual titles at 15% on Android and 47% on iOS, across 2.4 billion installs. Plans built on the 40% to 60% figure that circulates on benchmark pages never pay back
- Engagements should be narrow and time-boxed: one bottleneck, one KPI to move, a stated day count, and a hand-off plan
- Two monetisation failure modes, two unrelated fixes: low payer conversion points at paywall and offer architecture, low ARPPU points at end-game economy depth. Diagnosing the wrong one costs a quarter of feature work
- Compare quotes on scope rather than on price. A low retainer with a stated day count and a bounded brief is coherent. A senior full-service promise at a price that cannot fund the days it implies is not
Reading soft launch KPIs without a fake benchmark
A mobile soft launch is a controlled release in selected markets designed to validate retention, monetisation and unit economics before global UA budget is committed. Market choice matters as much as the process: our soft launch market selection guide covers which test markets predict global performance for which monetisation model.
Most studios arrive with a table of genre targets and no idea which population produced them. Start here instead. This is the measured distribution of the whole market, plus the one genre band that still survives verification.
| Metric | Market median (P50) | Top quartile (P75) | Casual and puzzle, Android, AppsFlyer Q3 2022 |
|---|---|---|---|
| D1 retention | ~22% | 25-27% on Android, 31-33% on iOS | 28-32% |
| D7 retention | 3.4-3.9% | 7-8% | 9-12% |
| D30 retention | 0.68-0.79% | not published | 3.5-5% |
The median and quartile columns come from GameAnalytics, covering 11,600 live games and 1.48 billion monthly active users. The third column comes from AppsFlyer’s Q3 2022 genre data combined with its Q3 2023 platform split, and it reads higher because it measures a different population: apps running an attribution SDK and buying paid traffic. It is also four years old, and it is the last broad genre breakdown anyone has published. Any 2026 article showing you a full seven-genre grid is reprinting it without saying so.
Two readings that change how a soft launch review goes.
A D7 of 6% is not a disaster, and that is the problem. It sits close to the top quartile of the entire measured market. It is also far below the level at which paid acquisition at Tier 1 install costs starts to work on hybrid casual, which is around 18% D7. The gap between “better than three quarters of the market” and “able to buy users profitably” is where most technically competent games die.
Published targets are aspirations, not medians. A soft launch target of D1 40%, D7 20% and D30 10% is a common industry shorthand, and it matches GameAnalytics’ 2026 top-quartile band, not the median game. Against the distribution above, those levels sit between the top quartile and the top one in a hundred. Treat them as the shape of an outlier rather than as a gate.
The mistake I see most often is a soft launch extended indefinitely while the team waits for retention to improve on its own. From 50+ launches at Gameloft, SFR Gaming and as an independent advisor: the first build rarely lands near the peer band, but if D1 is still under 25% after two or three meaningful product iterations, the core loop is the constraint and no amount of onboarding work will move it.
For the decision framework itself, see the mobile soft launch playbook, and for the full benchmark set with populations attached, the mobile game KPIs that matter in 2026.
Acquisition: when the numbers do not add up
The second reason studios call. Spend is climbing, install costs are rising, returns are falling, and nobody can say whether the constraint is creative, channel, audience or monetisation.
Start with what can be sourced. For casual and puzzle on Android, install costs run roughly $1.50 to $3.50 in the United States, $1.00 to $2.50 across the UK, Canada and Australia, and $0.20 to $0.60 in Southeast Asia. For iOS in the same market and genre, apply a 3x to 4x multiplier. Published iOS-to-Android ratios span 1.5x to 10x, which reveals inconsistent methodology rather than real market variance, so treat any ratio outside the 3x to 4x band as an artefact until the page tells you how it was measured.
Two figures you will be offered and should refuse. There is no published install cost at mid-core or RPG granularity that traces to a dataset, and there is no published return-on-ad-spend figure for mid-core at all. What exists is Liftoff’s measurement of D30 return on ad spend for casual titles: 15% on Android and 47% on iOS, across 2.4 billion installs. A rewarded-led casual title on Android recovers roughly a seventh of its acquisition spend in the first month. The 40% to 60% band that circulates as a norm is the same metric off by a factor of three, and a budget built on it will not pay back.
The usable threshold is relative rather than absolute. Plan for install cost at 30% to 70% of projected lifetime value, which inverts to a value-to-cost ratio of roughly 1.4x to 3.3x. Anyone who hands you an absolute go or no-go CPI for your genre is quoting a number that does not exist.
An acquisition audit usually covers:
- Channel mix: whether you are over-indexed on one network whose CPMs have inflated
- Creative cadence: whether you are producing enough variations to outrun ad fatigue
- Cohort quality by source: which channels deliver players who come back, and which deliver installs
- Attribution under SKAdNetwork and Privacy Sandbox: whether your measurement assumptions still hold in 2026, covered in our privacy-first UA guide
- The lifetime value model: whether the team is projecting off multipliers inherited from a previous title
The most expensive acquisition mistake is scaling creatives that win on install cost and lose on D30 return. A senior review usually finds it within a few cohort cuts, because it shows up as a divergence between the CPI ranking and the retention ranking of the same sources.
Retention and LiveOps: when the funnel leaks
If acquisition is sound and the game bleeds players past D7, the constraint sits in product and LiveOps. The bar is unforgiving in a way most teams underestimate: the top quartile of the whole market holds 7% to 8% at D7, and paid acquisition in Tier 1 needs more than double that. A game converging on the median is converging on a title that cannot be bought into profitability.
Common patterns I diagnose:
- Onboarding mismatched to genre complexity, either too long for a casual loop or too shallow for a mid-core one
- No D1 to D3 hook, meaning nothing specific to come back for tomorrow
- Event cadence too sparse to anchor a weekly habit
- Reward economy out of balance, with players progressing too fast or hitting a wall
- Push and CRM disconnected from the in-game event calendar
For the operational detail, see the LiveOps strategy guide and the mobile game retention strategies article. A consultant’s job here is to establish whether the LiveOps team is solving the right problem in the right order, which is a different question from whether the next event is well designed.
Monetisation: payer conversion against ARPPU
Monetisation problems come in two shapes and the fixes have nothing in common.
Low payer conversion. You have engaged players and very few of them pay. The work sits in offer architecture: first-time payer offers, paywall placement, store visibility, and the ladder of price points. ARPDAU is low because the number of payers is low.
Low ARPPU. Conversion is healthy and payers do not spend much. The work sits at the top of the economy: high-value bundles, deep progression sinks, end-game content, aspirational goals for committed spenders. ARPDAU is low because the depth is missing, which usually traces back to a game economy with no sinks left above a certain progression point.
I have watched a studio spend six months rebuilding a store UI when the actual constraint was a missing first-time payer offer at hour two. A monetisation audit exists to establish which shape you have before the team commits a quarter of engineering to the wrong one.
One caveat on benchmarking this. I could not find a reliable published free-to-paying conversion rate for casual puzzle from any primary source, so I do not quote one, and neither should anyone else. Track your own time-to-first-purchase alongside the rate: if players convert late, the constraint is upstream of pricing.
Direct-to-consumer storefronts have moved from optional to structural in mid-core monetisation stacks. Apple’s Small Business Program caps commission at 15% for developers with up to $1 million USD in proceeds in the prior calendar year, and the standard rate applies above that. Working out what the delta is worth against your own payment processing and support costs is a real P&L line, and it belongs in the diagnosis. See the mobile D2C web shop strategy for the operational side.
What the engagement actually looks like
The deliverable is a sequenced plan the studio can act on. A typical four to twelve week engagement:
- Diagnostic, one to two weeks: pull the data, locate it in the distribution, identify the failure point
- Hypotheses, one week: rank the top three to five issues by expected impact against effort
- Plan, one to two weeks: translate them into a 30/60/90 roadmap with a KPI and an owner per line
- Execution support, optional and ongoing: weekly reviews while the team executes
Against the alternatives:
| Option | Strength | Weakness | Best for |
|---|---|---|---|
| Mobile game consultant | Independent, senior, scoped | Engagement ends | Diagnosing a specific bottleneck |
| Mobile publisher | Capital and distribution | Revenue share, loss of control | Studios ready to ship at scale |
| UA agency | Media execution | No product or retention scope, declines small accounts | Channel execution above the agency spend floor |
| Full-time VP or CMO | Long-term ownership | Three to six months to ramp, hard to hire | Mature studios with funded runway |
The agency row carries a constraint most studios discover late. Specialist UA agencies decline accounts below roughly $10,000 to $30,000 of monthly media spend, which is exactly the band a soft launch operates in. Below that floor, the realistic options are a freelance UA manager on one and a half to four days a month, or senior direction bought by the day.
The biggest return from senior consulting comes when the engagement is narrow and time-boxed: one bottleneck, one KPI, a stated day count, a hand-off. My own ceiling is four days a month per client, written into the proposal, because a senior advisor spread across more than that is an availability problem waiting to become the studio’s problem. If you are vetting candidates, the gaming consultant hiring guide covers brief writing, discovery, and the failure modes to watch for.
When senior help is the wrong answer
Not every problem needs an outside operator. Bring one in when the team has exhausted the obvious fixes and the data has not moved, when an expensive and hard-to-reverse decision is coming up, or when leadership needs an independent read it will actually believe.
Do not bring one in when:
- The game is pre-soft-launch and the priority is shipping the build
- The team has never run a cohort analysis or a clean A/B test, because there is nothing yet to read
- The studio wants validation for a decision already taken. That is theatre with an invoice attached
What I could not verify
Figures that appear on most consulting and benchmark pages, including earlier versions of this one, that I could not trace to a primary dataset. They are not published here.
- A top-quartile retention column by genre. An earlier version of this page presented D1 40%, D7 20% and D30 10% as “healthy, top quartile”, inventing the lower bounds and converting an agency’s stated aspiration into a claim about the distribution. The source itself calls those levels rarely observed
- D30 return on ad spend for mid-core. The 15% to 47% range this page used to print was welded from two platform averages for casual titles, and the alert thresholds derived from it were fabricated downstream
- Install cost at mid-core or RPG genre granularity. No source I could reach goes below the casual level with a dataset attached
- D7 return on ad spend at any genre granularity. The 4% to 6% figure this page carried was a flattening of two platform-specific values from different populations
- A free-to-paying conversion rate for casual puzzle. Widely quoted, never sourced
- Hypercasual install cost. The $0.25 lower bound in circulation traces back to a hypercasual report published in 2022, and placing a blended genre figure beside a Tier 1 geo figure, as this page previously did inside a single sentence, produced a floor six times below the platform floor stated twelve words earlier
If a consulting page gives you a benchmark table with five sources under it, check whether any of them publishes the figures. On the previous version of this page, none of them did, and two of the five were the same site under different domains.
Ready to find out what is actually broken
If your soft launch, acquisition, retention or monetisation is not where it needs to be, a focused engagement with a senior mobile advisor usually locates the failure point within a few weeks of senior time, well before another quarter of budget goes into a funnel that does not pay back.
Book a strategy call to scope what a diagnostic would look like for your title. Get in touch or explore the full mobile game consulting practice for how engagements are structured.