Ad monetization
Pull ad revenue from every mediation and monetization partner, tie it to user acquisition campaigns at the user and cohort level, and get the only ROAS calculation that reflects how ad-monetized apps actually make money.
Trusted to deliver the most extensive data, for optimized campaign performance
THE SINGULAR PROMISE
For ad-monetized apps, ad revenue isn’t a side metric. It’s the ROAS
Most performance marketers measure ROAS using in-app purchases. For free-to-play games and ad-monetized apps, that misses the largest revenue stream. We pull aggregate ad revenue from every mediation partner and user-level ad revenue from impression-level data, tie it to the campaign that acquired each user, and produce the only ROAS calculation that reflects total revenue, not just IAP.
Pull ad revenue from every mediation partner
Collect aggregated and user-level ad revenue from AppLovin MAX, ironSource (LevelPlay), AdMob, Meta Audience Network, Unity LevelPlay, and other major mediation and monetization partners through native integrations.
Tie ad revenue back to user acquisition cohorts
Ad Revenue Attribution joins user-level ad revenue with the campaign, channel, and creative that acquired each user. ROAS calculations finally reflect what ad-monetized users actually earn.
Get publisher-grade reporting on every dimension
Slice ad revenue by app, platform, country, ad type, ad placement, ad instance, and mediation partner. eCPM, ARPDAU, fill rates, and request-level metrics in one dashboard.
Optimize iOS growth with SKAN ad revenue support
Get first-to-market support for ad revenue and combined revenue SKAdNetwork conversion models. Ad-revenue-driven apps optimize iOS UA against the metric that actually matters. Learn more about SKAdNetwork attribution.
Move on real-time signals, not weekly reports
Real-time ad revenue postbacks improve LTV signals to ad networks, and near real-time ROAS reporting eliminates the wait between activity and decision.
Send ad revenue data anywhere your team works
Aggregate and user-level ad revenue flow through Marketing ETL into Snowflake, BigQuery, Redshift, Databricks, and any major destination. Same pipeline, every revenue stream.
Smarter Insights.
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MARKETING TOOLKIT
Built for hybrid-monetization apps that need every revenue stream measured
The end-to-end attribution and analytics platform. Driving faster growth with smarter ROl insights, powering your team in the age of AI.
DATA FOUNDATION
Cross-channel ad monetization performance
Automatically collect, normalize, and aggregate ad revenue across every mediation partner you run, and see it all in one dashboard. Compare networks side by side, identify your top revenue drivers, and stop reconciling exports from five different platforms.
DATA FOUNDATION
Publisher-grade reporting
Drill into eCPM, ARPDAU, DAU, fill rate, and impression-level metrics by app, platform, country, ad type, placement, and instance. The questions monetization teams actually ask, answered in one place without exporting anything.
DATA FOUNDATION
User-level ad revenue tied to acquisition
Ad Revenue Attribution adds user-level ad revenue to your acquisition cohort reporting. ROAS calculations include cost in, IAP revenue out, and ad revenue out, finally producing the True ROAS metric ad-monetized apps need to optimize UA.
OMNICHANNEL MEASUREMENT
SKAdNetwork ad revenue measurement
We have two SKAdNetwork conversion models built specifically for ad-monetized apps: Ad Revenue and Combined Revenue. Optimize iOS user acquisition against the revenue model that matches how your app actually monetizes.
ACTIVATION
Real-time ad revenue feedback to networks
Push real-time ad revenue postbacks to ad networks so their bidding algorithms optimize on actual LTV data, not proxies. Build live ad revenue feeds for near real-time ROAS reporting, and stop waiting until tomorrow to see today’s performance.
ACTIVATION
Ad revenue data delivered anywhere
Send aggregate and user-level ad revenue data through Marketing ETL to Snowflake, BigQuery, Redshift, Databricks, S3, Tableau, and Looker. The same pipeline that delivers your attribution and cost data carries your monetization data.
HEAR THEIR VOICES
Our customers say
The ROAS and Retention Analytics reports changed how we evaluate UA. We used to have to pull from multiple places. Now it’s all in one view and we can actually see what’s working.
Günay Azer
Founder
6
Hours of weekly reporting saved
It’s not about whether the other MMPs have less or more features. It’s that when there is an issue, which inevitably happens with any MMP, Singular is very quick to act and figure out a solution with us.
Gus Viegas
Head of Growth
23%
Success rate app installs 7d
When I give the creative team clear, data-backed instructions, we are able to produce better creatives faster.
Wanbing Zhu Andresson
Head of Performance Marketing
2X
Creative throughput
I know that Singular is the best-in-class MMP. We’re confident we won’t fall behind the latest and greatest trends and market needs.
Josh Nadler
Senior Product Manager, Marketing Platform
99%
Reduction in link generation time
Singular helped us save operation costs, define the resources we needed for the migration, and coordinate the team we needed. Which made the migration more than worth it for us.
Sebastian Pontillo
Head of Marketing Technology
60%
ROI in operational costs
Singular has a very technical and knowledgeable team, which is reflected in its level of support and is more aligned with the maturity level of our organization.
Eric Couto
Head of Marketing Tech
32
Apps migrated
There is more flexibility than one might find somewhere else, and also a strong customer service element with keenness to do new things, like with SKAN, or other projects I’m discussing with the team.
Arif Ehsan
Head of Digital Marketing & Loyalty
30%
Spend saved from fraud
GOT QUESTIONS?
Ad monetization FAQ
Ad monetization analytics measures the performance of in-app advertising as a revenue stream for app publishers. Metrics include eCPM (effective cost per mille), ARPDAU (average revenue per daily active user), DAU, fill rate, ad request and response rates, and aggregate ad revenue, broken down by app, platform, country, ad type, placement, and mediation partner. Singular’s ad monetization analytics pulls this data automatically from every mediation and monetization partner, normalizes it into a single schema, and surfaces it alongside user acquisition cost data and attribution for full revenue-and-cost reporting in one platform.
Ad monetization analytics aggregates ad revenue across networks for publisher-side reporting, answering questions like “how much did each mediation partner earn for me last month?” or “what’s my fill rate on rewarded video in Brazil?”. Ad revenue attribution adds user-level ad revenue to user acquisition cohorts, answering questions like “what’s the true ROAS of my Meta campaign once I include the ad revenue those users generate?”. Most ad-monetized apps need both: monetization analytics to optimize the monetization side, ad revenue attribution to optimize the user acquisition side.
For ad-monetized apps, ad revenue is often the largest revenue stream, frequently larger than in-app purchases. ROAS calculations that only count IAP revenue dramatically understate the actual return on user acquisition spend, leading to under-investment in profitable channels and under-targeted user types. Including ad revenue in ROAS produces a True ROAS metric that reflects total user value, which is the only metric ad-monetized apps should be optimizing UA against. Singular’s marketing analytics platform is built to deliver this combined view by default.
Singular integrates with the major mobile ad mediation and monetization platforms, including AppLovin MAX, ironSource (LevelPlay), AdMob, Meta Audience Network, Unity LevelPlay, Chartboost, and a long tail of regional and specialty partners. New integrations get added on request. See the full list of supported integrations.
Yes. Both aggregate ad monetization data and user-level ad revenue attribution data flow through Singular’s Marketing ETL to Snowflake, BigQuery, Redshift, Databricks, S3, GCS, SFTP, Tableau, Looker, and any major destination. Aggregate data delivers every 6 hours, user-level data delivers hourly, with separate schemas for each dataset that BI teams can query natively.
Singular supports SKAdNetwork conversion models specifically built for ad-monetized apps: an Ad Revenue model and a Combined Revenue model that includes both ad revenue and IAP. These conversion models let ad-monetized apps optimize iOS user acquisition against the revenue metric that matches how the app actually monetizes, instead of forcing apps that earn primarily from ads to optimize on IAP-only signals. SKAdNetwork ad revenue metrics surface in Singular’s SKAN reports as Estimated Ad Revenue and Estimated Combined Revenue, and through ETL. Read more on SKAdNetwork attribution.