A look at how incrementality testing works for gaming media, and where Overwolf Ads fits into a measurement stack built for CTV and social.

For years, gaming has been trapped in the "experimental" budget tier - not because it lacks reach, but because it lacked the measurement rigor applied to CTV and social. Proving its true value requires moving past raw impressions to incrementality testing, which answers a simple question: did the ad actually cause the sale, or would it have happened anyway?

While traditional measurement only shows exposure, geo holdout testing provides the structure to evaluate causal impact. Yet, according to the IAB’s State of Data 2026 report, only 39% of organizations currently combine incrementality testing with their broader measurement models. Overwolf Ads is structured to change that, bringing gaming into the same analytical framework as established channels.

What incremental lift actually measures

Incremental lift is the sales or conversions a campaign caused that would not have happened without it. It's distinct from raw attribution, which credits the last touchpoint a customer saw regardless of whether that touchpoint changed their behavior. A geo holdout test isolates this by splitting similar markets into a test group, where the campaign runs, and a control group, where it doesn't, then comparing sales between the two. A dataset of 225 geo and holdout experiments found a median incremental return on ad spend of 2.31, with 88.4% of well-designed tests reaching statistical significance.

MMM and incrementality testing serve different jobs. MMM uses historical data to estimate each channel's contribution across a full media plan, useful for strategic allocation. Incrementality testing produces a causal, real-world number for a specific channel over a specific window. The strongest measurement programs run holdout tests quarterly to recalibrate MMM coefficients, and a holdout result that differs from what an MMM predicted becomes the anchor that corrects the model going forward.

Why gaming has been harder to test this way

Gaming inventory has traditionally been fragmented across publishers, platforms, and bespoke custom builds, which makes it difficult to run a clean geo test. A holdout test requires turning a channel off in specific markets while holding everything else constant, and stitching that control across five or six separate gaming vendors introduces the kind of contamination that invalidates a test. If a control market is exposed to a different gaming vendor's inventory, the holdout isn't clean.

Overwolf Ads consolidates gaming reach across more than 1,500 titles and 500-plus gaming websites into a single buy, structured across three ad formats: Standard Media (standard display and video and first-party intent data across curated gaming websites), and Rewarded Achievements and Branded Mods (contextual branded creative triggered by in-game events, sold direct only). Gamer Grid, the deterministic audience-targeting technology built on gameplay and hardware data (launched April 2026), is layered across every buy rather than sold as a separate product. Because the buy runs through one operations team rather than several vendors, a brand testing gaming's incremental contribution can turn the channel off in defined markets without coordinating a shutdown across platforms.

The baseline requirement: verified quality before independent lift

Viewability and completion rates answer whether an ad was seen, not whether it changed behavior-which is why incrementality testing remains the ultimate benchmark. However, high-quality inventory is a prerequisite for a valid test; low viewability simply creates noise in the data. Overwolf Ads provides that baseline, achieving average viewability above 90% and video completion around 85-88%. As the No. 2 U.S. gaming property ranked by Comscore and one of 40 publishers in Adelaide's AU Ecosystem alongside The New York Times and Spotify, this third-party validation ensures media planners are testing high-attention inventory rather than low-quality exposure.

Bringing gaming into the measurement stack

A brand wanting to prove gaming's incremental contribution should treat it the same way it treats a CTV or social geo test: pick matched test and control markets, hold gaming spend constant outside the test group, and run the campaign long enough to detect lift above normal sales variability. Because Overwolf consolidates this reach under a single operational infrastructure, running a clean market holdout carries significantly lower cross-channel contamination risks, allowing the resulting lift metric to reliably calibrate an MMM.

Gamer Grid, the deterministic gameplay and hardware technology behind Overwolf's targeting, is layered across every product above rather than bought or tested as a standalone line item.

Practical takeaways for media planners

Gaming doesn't need a different measurement standard than CTV or social, it needs the same one applied consistently. Run a quarterly geo holdout on gaming spend, use consolidated inventory where possible to avoid control-market contamination, and treat third-party attention and property rankings as a credibility layer supporting the test rather than a replacement for it. Overwolf Ads' single-contract structure is built to make that testing operationally feasible rather than pieced together across vendors.

FAQs

Q: Can Overwolf Ads inventory be turned off in specific markets for a geo holdout test?

A: Yes. Overwolf operates as a consolidated media layer across its entire ecosystem of titles and sites. This allows media planners to set clean geo-targeted exclusions directly at the campaign level, eliminating the operational complexity of coordinating simultaneous holdouts across multiple niche vendors.

Q: What is the difference between Rewarded Achievements and standard display inventory for measurement purposes?

A: Rewarded Achievements is a direct-only format that triggers branded creative from real-time in-game events, such as a win or a goal, while Standard Media is standard IAB display and video sold both direct and programmatically. Rewarded Achievements is better suited to testing whether contextual timing itself adds incremental lift, since it has no equivalent format on CTV or social.

Q: Can gaming be included in a media mix model alongside CTV and social?

A: Yes. A geo holdout result from gaming spend can be used to calibrate an MMM's coefficient for that channel the same way a Meta or Pinterest holdout result would be, provided the test markets weren't contaminated by other gaming vendors running simultaneously.