Glossary

Mobile Attribution & Deep Linking Glossary

Straight answers to the acronyms and jargon that show up constantly in mobile growth, attribution, and deep linking. Each entry stands on its own, so jump to whatever you need.

Deep linking terms

Probabilistic vs deterministic matching
Deterministic matching uses a provable identifier, such as Android's Play Install Referrer API or a clipboard token, to create a certain one-to-one match between a click and an install. Probabilistic matching compares device signals like IP address and OS version within a time window to make a statistical best guess, used as a fallback when no deterministic identifier is available.

Attribution and MMP terms

MMP (Mobile Measurement Platform)
An MMP is a platform that connects app installs and in-app events back to the marketing campaigns that drove them, typically bundling deep linking, cross-channel attribution, and fraud detection into one SDK. AppsFlyer, Branch, and Adjust are the leading examples. Because MMPs are built for teams running paid acquisition across many networks, they are often more platform than a team needs if deep linking and basic attribution are the real requirement.
Attribution modeling
Attribution modeling is the set of rules used to decide how much credit a given marketing touchpoint gets for a conversion, when a user interacted with more than one channel before converting. Common models include last-click, first-click, and multi-touch, and the model you choose changes which channels look effective, so it is a business decision as much as a technical one.What Is Mobile Attribution
Click-through vs view-through attribution
Click-through attribution credits a conversion to an ad only if the user actually clicked it before converting. View-through attribution credits a conversion to an ad the user merely saw, without clicking, before converting later through another path. View-through windows are typically shorter and used mainly for display and video ad formats where clicks are rare but exposure still influences behavior.
ARPU (Average Revenue Per User)
ARPU is total revenue divided by the total number of active users over a given period, regardless of whether each individual user paid anything. It is a blended metric that shows how much revenue your user base generates on average, useful for comparing monetization efficiency across cohorts or time periods.
ARPPU (Average Revenue Per Paying User)
ARPPU is total revenue divided only by the number of users who actually paid, excluding free users from the denominator entirely. Because it isolates paying behavior, ARPPU tends to be a much larger number than ARPU and is more useful for understanding how much your monetized users are worth once they convert.
eCPM (Effective Cost Per Mille)
eCPM is the effective cost or revenue per one thousand ad impressions, calculated by dividing total ad revenue or spend by total impressions and multiplying by one thousand. It is used to normalize ad performance across placements and formats that sell on different pricing models, so results are comparable on a common basis.
CPA (Cost Per Acquisition)
CPA is the total cost of a marketing effort divided by the number of acquisitions, conversions, or installs it produced. Unlike CPC or CPM, which measure cost against clicks or impressions, CPA measures cost against the actual outcome you care about, which makes it a more direct efficiency metric for comparing channels.
App stickiness
App stickiness measures how much of your monthly user base is actually engaging daily, typically expressed as the ratio of daily active users to monthly active users. A higher stickiness ratio indicates a habitual, frequently used app, while a low ratio suggests users install but rarely return.

Frequently asked questions

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