Definition:
Ad revenue attribution is the methodology that allows marketers to allocate and measure ad revenue generated by users back to their original acquisition source.
What is Ad Revenue Attribution?
When a user installs your app and starts generating ad revenue through 主にアプリ内広告(IAA), 広告収益のアトリビューション is how you trace that revenue back to its source. Which campaign brought that user in? Which channel? Or, which creative?
Without this connection, you're only seeing half the picture. You know what you spent on acquisition, but you don't know what those users are actually generating. Ad revenue attribution closes that gap, giving you a complete view of ROI that accounts for both costs and returns.
This is especially important for apps that monetize primarily through in-app advertising, where ad revenue - not in-app purchases - is the primary measure of user value.
What is Ad Revenue LTV?
Ad Revenue LTV is the total advertising revenue generated by a cohort of users from the moment they install your app through a defined period of activity. It accounts for:
- User retention over time
- Ad impressions served to that cohort
- Estimated revenue across all ad networks
Rather than looking at a single user in isolation, Ad Revenue LTV gives you a cohort-level view making it a far more reliable signal for acquisition decisions and long-term monetization planning.
How is Ad Revenue Attribution Calculated in Tenjin?
There are different methodologies for calculating ad revenue attribution. Tenjin uses a session-based (aggregated) approach, which is a model that has become increasingly valuable in the post-iOS 14.5 landscape, where the volume of granular, user-level data available to advertisers has significantly decreased.
Because the values are aggregated rather than individual, this approach delivers a more conservative view of ad revenue attribution. Crucially, it also includes users who opted out of personalized advertising, which is a segment that user-level methods often miss entirely.
For teams that need deeper granularity, user-level and impression-level revenue data is available on every single Tenjin plan.
Ad Revenue Attribution Metrics in Tenjin
Tenjin's user acquisition report gives you access to a full suite of ad revenue attribution metrics:
| メトリック | What It Measures |
| 広告収益 | Total ad revenue generated by a cohort |
| Ad Revenue LTV | Cumulative ad revenue over a user's lifetime |
| Lifetime Ad ROI | Total ad revenue return relative to acquisition cost |
| Ad Revenue LTV / User | Average ad revenue LTV per user in the cohort |
| N-Day Ad Revenue LTV | Cumulative ad revenue N days after install |
| N-Day Ad Revenue LTV / User | Average ad revenue LTV per user N days after install |
Together, these metrics give you a granular, time-based view of how ad monetization is performing across every user acquisition source. See the full list of metrics available in the Tenjin dashboard here.
Why Ad Revenue Attribution Matters
1. Understand which channels are actually driving revenue
Accurate ad revenue reporting shows you which campaigns and channels are bringing in users who generate meaningful ad revenue and which ones are delivering installs without real monetization value. That insight is what enables profitable scaling.
2. Get a complete view of ROI
Ad revenue attribution connects acquisition spend directly to monetization outcomes. When you can see the full revenue picture, not just IAP but ad revenue as well, your LTV calculations become far more accurate and your ROI far easier to act on.
3. Identify your highest-value users
Because ad revenue attribution is built on user-level and cohort-level data, it helps you identify the audience segments that generate the most ad revenue over time. That intelligence feeds directly into future targeting — helping you acquire more of the users that matter most, in the most cost-effective way.
4. Navigate privacy changes with confidence
Since iOS 14.5, granular user-level data has become harder to access at scale. Tenjin's aggregated approach to ad revenue attribution is built for this environment to give you reliable, actionable data even as the industry continues to shift toward greater privacy.
Ad Revenue Attribution and Hybrid Monetization
For apps running a hybrid monetization model combining in-app purchases with in-app advertising, accurate ad revenue attribution is essential for getting a true read on total user value.
Tenjin's N-Day All LTV metric combines IAP revenue and ad revenue into a single cohort metric, giving hybrid monetization teams one unified view of how their users perform over time. No blind spots, and no fragmented reporting.
Related Terms
- LTV(ライフタイムバリュー)
- In-App Advertising (IAA)
- In-App Purchases (IAP)
- Return On Ad Spend (ROAS)
- Mobile App Monetization
- SKAdNetwork
- Attribution
- 広告収益