What is Multi-Touch Attribution?

Multi-touch attribution (MTA) is a family of models that split conversion credit across multiple ad touchpoints on the user journey. Unlike last click, impressions, clicks, and interactions at different funnel stages receive weights (linear, time decay, U-shaped, data-driven).

In classic arbitrage, MTA is less common than in large brand in-house teams: CPA networks pay for one credited click. Media buyers with their own analytics and advertisers with long sales cycles still use MTA to judge prospecting vs. retargeting, creatives, and channels.

Common models

Linear — equal credit to each touch.
Time decay — more weight near conversion.
U-shaped — emphasis on first and last touch.
Data-driven — platform ML on aggregated data (Google, Meta).

Privacy-era limits

Cross-site tracking blocks, ATT, and shorter cookie lifetimes reduce full-path visibility. User-level MTA degrades; marketing mix modeling (MMM) and aggregated reporting grow. In mobile apps, SKAdNetwork does not provide user-level multi-touch — only delayed aggregate postbacks.

Practical use for arbitrageurs

Even without formal MTA, segment cold vs. warm CR and first click vs. return visits (if the tracker logs on-page events). This does not replace network last-click payout but guides budget scaling.