Last-click attribution is the default mobile attribution model. The rule is simple: the user's final ad click before install (within the configured attribution window — typically 7-30 days) gets 100% of the install credit. If a user clicked a TikTok ad on day 1 and a Meta retargeting ad on day 5 then installed on day 7, the install goes to Meta. TikTok gets no credit, even though they may have created the original awareness.
Why last-click is the industry default
- Unambiguous — exactly one ad gets credit. No partial-credit math.
- Easy to implement — every MMP supports it natively. Default configuration in AppsFlyer, Adjust, Singular, Branch.
- Aligns with platform attribution — Meta, TikTok, Google all default to last-click within their own ecosystems.
- Communicates clearly — UA teams know exactly what "this campaign drove this install" means.
Limitations of last-click
- Ignores upstream touchpoints — the TikTok ad that created awareness gets no credit even though it materially contributed.
- Over-rewards retargeting — campaigns that close already-aware users grab credit from broader-funnel campaigns that created the awareness.
- Doesn't capture brand-driven effects — brand campaigns building general consideration aren't measurable through last-click.
- Distorts channel allocation — over time, budget shifts to last-click-winning channels (retargeting, brand search) at the expense of upstream channels (broad reach, brand video).
When to look beyond last-click
- Multi-touch attribution (MTA) distributes credit across multiple touchpoints. Useful for understanding the full user journey, but harder post-ATT.
- Incrementality testing measures actual causal lift via holdout experiments. The most rigorous answer to "did this campaign actually drive incremental installs?".
- Marketing Mix Modeling (MMM) uses aggregated time-series data to estimate channel-level contribution without user-level identifiers.
Mature mobile UA programs run all of these in parallel — last-click as operational source of truth, MTA / incrementality / MMM for big strategic decisions and broader-funnel measurement.