Product pillar
Learn which creatives are associated with valuable outcomes
Creative-level attribution connects an ad creative identifier with aggregate install and post-install outcomes. Audiencelab gives mobile teams a creative operating view for comparing retention, revenue, ROAS, and app-specific events where the required data is available, without presenting a modeled association as user-level certainty.
Overview
01Move beyond click metrics
High click-through rate or low CPI does not necessarily indicate valuable users. Creative analysis should include mature post-install outcomes and the campaign context in which each creative ran.
02Keep definitions visible
Every report should state the source, window, cohort, currency, aggregation, and attribution method. Differences between network, MMP, warehouse, and modeled views should be reconciled rather than hidden.
03Turn analysis into the next brief
The goal is not a prettier dashboard. Use evidence to decide which concepts to scale, stop, localize, iterate, or test under a new hypothesis.
Process
- Collect campaign and creative identifiers
- Connect approved install and outcome data
- Normalize windows, currencies, and naming
- Compare mature cohorts at useful granularity
- Feed findings into creative and campaign decisions
Creative metrics answer different questions
| Metric | Useful for | Does not prove |
|---|---|---|
| CTR | Message and click response | Post-install value |
| CPI | Acquisition cost | Retention or payback |
| ROAS | Revenue efficiency for a defined window | Long-term causal lift |
| Retention | Cohort engagement | Incrementality |
Requirements
What needs to be true for this approach to apply.
- Stable creative identifiers and naming conventions
- Approved outcome data from app, server, MMP, or warehouse sources
- Documented attribution windows and cohort maturity
- Enough spend and events to avoid overreading noise
Limitations
What this page does not prove or guarantee.
- Creative performance is affected by audience, bid, placement, market, and timing.
- Small cohorts can produce unstable ROAS and retention estimates.
- Attribution is not the same as causal proof.
- Privacy thresholds and aggregation can limit granularity.
Questions
- Can Audiencelab show user-level journeys?
- Audiencelab's public positioning is privacy-conscious and focused on aggregate and modeled outcomes rather than exposing user-level tracking.
- Can I keep my existing creative dashboard?
- Yes. Audiencelab can complement existing reporting; the integration path depends on the approved data sources and workflow.
- How should creative winners be selected?
- Use a pre-declared decision rule, mature cohorts, sufficient volume, and business outcomes. Re-test when audience, market, or campaign setup changes.