Clipping for mobile games: UA beyond the ad networks
Free-to-play UA economics for per-view clipping campaigns — effective CPI against network benchmarks, LTV payback math, install quality and cohort measurement in a post-ATT world, and the game types this channel suits.
Mobile game UA has a structural problem: install prices set by auction have climbed faster than in-app monetization, and the measurement that used to justify the spend was hollowed out by ATT and SKAN. A per-view clipping campaign attacks the first half of that — installs sourced at a $0.42 to $2.50 effective CPI at gaming clipping rates, against network CPIs that developers routinely report between $2 and $5 on iOS.
It does not fix the measurement half. It arguably makes it worse, because clips are organic posts with no click ID and no postback. This article works through the economics honestly, including the payback math, the install quality question nobody can answer for you in advance, and the specific games that should not bother.
The CPI math at gaming clipping rates
Industry-reported clipping CPMs for gaming content run about $1 to $2 per 1,000 views. Using $1.25 as a working rate:
| Per 1,000 views at $1.25 CPM | Weak | Mid | Strong |
|---|---|---|---|
| View to store tap or name search | 0.25% | 0.75% | 1.5% |
| Tap to install | 20% | 20% | 20% |
| Installs | 0.5 | 1.5 | 3.0 |
| Effective cost per install | $2.50 | $0.83 | $0.42 |
Set that against your LTV. Take a midcore-lite title with a blended D180 LTV of $3.50 — modest, achievable, and the kind of number that makes network UA painful at a $3 CPI:
| Weak | Mid | Strong | |
|---|---|---|---|
| Effective CPI | $2.50 | $0.83 | $0.42 |
| LTV / CPI ratio at $3.50 LTV | 1.4x | 4.2x | 8.3x |
| Contribution per install | $1.00 | $2.67 | $3.08 |
At a $3.00 network CPI the same title runs a 1.17x ratio, which is roughly the line between a UA program and a hobby. The weak clipping case already beats it slightly; the mid case is a different business.
The caveat that belongs immediately next to those numbers: you do not know your clipping-sourced LTV until you measure it. Ad networks optimize delivery toward users their models predict will pay, which is the entire value proposition of the auction price you are complaining about. A clipping campaign does no such optimization — it reaches whoever watched the clip. That could cut either way. Self-selected interest in your specific game is a strong signal; absence of payer-propensity targeting is a weak one. Measure it in a pilot, do not assume it.
Clipping versus the ad networks
| Clipping campaign | UA ad networks | |
|---|---|---|
| Billing unit | Per 1,000 organic views | Per 1,000 impressions, or per install |
| Reported unit cost | $1–2 CPM for gaming content | $3.50 TikTok to $23.40+ Snapchat app-install |
| Price mechanism | Rate you set in the brief | Auction against every other advertiser |
| Creative production | Included — creators make the clips | Your cost, refreshed constantly |
| Creative variants | Dozens by default, one per creator | Limited by production capacity |
| Payer-propensity targeting | — | ✓ |
| Attribution | Lift-based, cohort-tagged, probabilistic | MMP and SKAN, degraded but deterministic |
| Scale up or down | Ramps with creator participation | Within hours |
| Cost after budget cap | None — clips keep serving views | Delivery stops with spend |
| Fatigue behaviour | New creators refresh the creative pool | Creative fatigue forces constant refresh |
The creative rows are the ones that matter most for mobile games, because creative is where mobile UA actually lives. A network program is bottlenecked on how many playable and video variants your team can ship per week, and the half-life of a winning creative keeps shrinking. A per-view campaign runs a creative tournament by construction: fifty creators produce fifty interpretations, you pay per view on all of them, and the winners are obvious in the data within days. Some studios end up using clipping as much for creative discovery as for installs — the concepts that perform organically are strong candidates to become paid ad creative.
What kind of mobile games this suits
Strong fit:
- Games with a legible three-second moment. Merge, physics, satisfying destruction, dramatic near-misses. If a stranger can tell what happened without context, it clips.
- Games with meme potential. Anything where the community already makes content unprompted has a supply of proven hooks you can put in the brief.
- Games with visible progression. Base states, character builds, and level transformations are inherently before-and-after content.
- Titles in categories where network CPIs have gone hostile. If your category's auction price has outrun your LTV, an off-auction channel is worth a pilot on those grounds alone.
Weak fit:
- Deep systems games with no visual hook. 4X, heavy strategy, and simulation titles whose appeal is a spreadsheet the player learns to love.
- Games monetized on a small whale tail. If 0.2% of installs produce most of revenue, broad untargeted reach is an inefficient way to find them and network payer targeting is genuinely worth its premium.
- Titles with weak D1 retention. Cheap installs into a leaky funnel is the most expensive way to learn you have a retention problem.
Measuring it after ATT
You will not get a SKAN postback attributed to a clip. Build the measurement plan before the campaign, not after the CFO asks:
Cohort tagging by window. Hold paid spend flat, run the campaign, and tag every install arriving in the window as a mixed cohort. Compare D1, D7, and D30 retention and ARPU against the equivalent cohort from the month prior. The effect size from millions of views is usually well above the noise floor.
Organic install lift against baseline. The primary number. Four weeks of baseline before, campaign window, four weeks after to capture the tail.
Branded search in the app stores. The fastest-moving indicator and the one that captures viewers who searched rather than tapped — which for games is a large share, because game names are memorable in a way app names often are not.
A campaign landing page with a store redirect. Captures the tapped portion explicitly, and gives you the click-through variable that drives the entire CPI model.
Creator-code or referral mechanics if your game supports them. The cleanest signal available, worth building if you plan to run this channel repeatedly.
Running the campaign
Sizing: pick a pilot budget you would spend on a two-week network test — the figure most studios land on is a few thousand dollars — and treat the first run as buying the click-through rate variable rather than buying installs. Campaigns are budget-capped and never exceed what you commit, so a pilot cannot run away from you.
Brief specifics that move the numbers:
- Supply vertical gameplay capture with minimal HUD. Landscape footage cropped to vertical loses the readable part of the screen.
- Give three or four hook concepts, not a script. Identical clips across fifty accounts stop getting served.
- Put the game's exact name on screen in every clip — searchers cannot find a name they did not catch.
- State what gets denied up front: unshipped features, fake gameplay, anything implying gambling mechanics you do not have.
- Set per-post minimum and maximum payouts so one outlier does not eat the budget and small clips stay worth submitting.
The structure is covered fully in the campaign brief guide and the operational side in how to run a clipping campaign. For premium and PC titles, the wishlist-driven version of this model is in clipping for indie games, and the general channel comparison is in TikTok ads CPM vs clipping.
When you want to run the numbers against your current CPI, launch a campaign on Vues — you set the rate, the budget is capped, and billing is on tracked views only.
Frequently asked questions
What CPI can a mobile game expect from clipping?
At a $1.25 CPM the model produces roughly $2.50 per install in a weak case, $0.83 in a mid case, and $0.42 in a strong case. The dominant variable is what fraction of viewers tap out or search the game's name, which is a creative problem you control through the brief.
Do clipping installs monetize as well as network installs?
Nobody can tell you in advance. Ad networks optimize toward predicted payers, which clipping does not do, but clip viewers self-select on interest in your specific game. Tag the cohort, compare D7 and D30 ARPU against your paid installs, and decide from your own data.
How do you measure a clipping campaign under SKAN and ATT?
Use lift measurement rather than attribution: hold paid spend flat, compare organic installs against a four-week baseline, tag the campaign-window cohort for retention and ARPU comparison, and watch app store branded search. A campaign landing page captures the tapped portion explicitly.
Which mobile games are a poor fit for clipping?
Deep systems games with no visual hook, titles monetized on a small whale tail where payer targeting is genuinely worth its premium, and any game with weak D1 retention. Cheap installs into a leaky funnel is an expensive way to discover a retention problem.
Can clipping replace UA networks entirely?
For most studios, no. Networks give precise targeting, instant scale in both directions, and the deterministic-enough attribution that finance teams expect. Clipping is best used as an off-auction top-of-funnel layer and, for many teams, as a creative discovery engine feeding the paid program.
How much creative work does a clipping campaign require from the studio?
One asset pack of vertical gameplay capture plus three or four hook concepts. The creators produce the finished clips as part of earning the per-view rate, which is why some studios run these campaigns partly to discover creative concepts they later adapt into paid ads.