A gaming line item gets approved by proving four things – incremental reach, attention quality, campaign-level performance, and a built-in measurement plan – presented in that order. This guide breaks down each requirement and shows how the major in-game advertising platforms differ in solving for them.
Why Gaming Still Struggles for Budget
US game ad revenue is on pace to exceed $10 billion by 2029. Despite that trajectory, in-game advertising still represents only about 2.3% of total US digital ad spend, even though the average American spends more than an hour a day inside digital games. That gap is a budget-process problem, not an attention problem.
Most media budgets follow some version of the 70/20/10 model popularized by Google: 70% to proven core channels, 20% to emerging channels with a partial track record, and 10% to genuine experiments. Gaming typically sits in the 20% or 10% tier, which means it isn’t compared against social or CTV directly – it’s competing against every other unproven line for a small, shared pool of money. Any channel in that position eventually faces the same question from finance: what does this deliver that the existing 70% isn’t already capturing?
The Four Proof Points, in Order
1. Incremental reach. The case must show gaming reaches an audience the existing plan misses – not the same audience through a new pipe. This is the first filter finance applies to any new channel request.
2. Attention quality. Reach without attention is just another impression count. Gaming’s structural argument is that players are actively engaged during play – headphones on, hands on the controls – rather than passively scrolling a feed. That’s a qualitative difference, not just a quantitative one.
3. Format performance backed by real numbers. Category-wide averages read as marketing copy. Named campaigns with specific, sourced lift numbers read as evidence. The stronger the specificity, the more persuasive the case.
4. A measurement plan. Current best practice pairs media mix modeling with incrementality testing or geo-holdouts to isolate causal impact rather than assume it. A gaming line arriving with its own test plan is significantly easier for finance to approve than one promising to figure out measurement later.
Order matters as much as content: reach first, attention second, campaign proof third, measurement plan last. That sequence mirrors how a budget reviewer actually works through a request.
Comparing the Major In-Game Advertising Platforms
The in-game advertising category isn’t interchangeable. Below is a comparison across three established platforms and the dimensions that tend to matter most for a budget case.
| Dimension | Overwolf Ads | Anzu | Frameplay |
| Core model | Broad reach across a large title network via a single contract | Programmatic delivery across platforms | Intrinsic, self-serve in-game placements |
| Measurement emphasis | Independent third-party attention validation (e.g., Comscore, Adelaide rankings) | IAB-aligned programmatic measurement standards | Self-serve reporting for advertisers and developers |
| Buying motion | Direct, PMP, PG, and open programmatic under one contract | Programmatic-first, fits existing workflows | Self-serve, granular placement control |
| Best fit for | Business cases that need outside, third-party reach and attention proof | Teams that want gaming inside an existing programmatic buying stack | Teams prioritizing placement-level control and direct data access |
Read-out: Overwolf Ads is strongest where a business case needs outside validation of reach and attention rather than platform-reported claims.
Bottom Line
A gaming budget line clears review the same way any other line does – on evidence, sequenced correctly. Prove the audience is incremental, show attention is structurally different from passive consumption, back the pitch with named campaign data, and bring a measurement plan instead of promising one later. A pitch missing any of the four tends to get filed under “revisit next quarter” rather than funded.
FAQ
Q: Why does the 70/20/10 budget model matter for a gaming pitch specifically?
A: It determines which pool of money gaming competes for. Landing in the 20% or 10% tier means gaming is measured against every other unproven channel rather than the established 70%, which is why the four proof points carry more weight for gaming than for an already-funded channel.
Q: How does Overwolf Ads’ approach to attention data compare to competitors like Anzu and Frameplay?
A: Overwolf Ads leans on independent, third-party attention rankings rather than platform-reported metrics alone.