Airbridge Attribution Model

User journeys are often complex, stretching over a long period of time. To build successful strategies that can navigate such intricacy, you need to analyze which of your marketing efforts are most effective in driving desired business outcomes. This process is known as attribution.

The Airbridge attribution model is a framework for distributing the credit of conversion among the various touchpoints in a user journey. You can access the attribution data in Airbridge reports to measure ad performance and optimize conversion paths.

The Airbridge Attribution Model

At base, Airbridge uses the last-touch attribution model, which assigns full credit to the touchpoint closest in time to the conversion. The touchpoint that most likely led to a desired business outcome is called the winning touchpoint.

However, there are cases where the last touchpoint does not take credit because the Airbridge attribution model prioritizes certain touchpoints over others.

The Airbridge attribution model is applied to the Actuals Report, Trend Report, Reinstall Report, Retention Report, Funnel Report, Revenue Report, and Active Users Report. Other reports use different models that are more suitable for their reporting purposes.

Mobile App Attribution

Airbridge identifies the winning touchpoint under the framework of the Airbridge attribution model. Note that each player in the mobile marketing ecosystem has its own attribution rules, sometimes resulting in attribution discrepancies. The attribution rules also vary depending on where the touchpoint occurred.

Web attribution rules

Airbridge’s web attribution rules differ from the mobile app attribution rules in the following aspects.

  • You can’t set a lookback window for web events.

  • The attribution window for web events is set to 3 days (72 hours) by default. If you wish to make changes, refer to this article.

  • Touchpoints collected via tracking links are prioritized over touchpoints collected via Airbridge Web SDK’s UTM parameter parsing.

Initiating the attribution process

Users exposed to advertisements respond in various ways. They might decide to install an app, sign up, or even make a purchase.

Airbridge defines some of these desired business outcomes as Target Events and uses them as trigger points for attribution. This means that when the Airbridge SDK detects a Target Event, it notifies the Airbridge server, setting the attribution process in motion.

Some conversions that are not Target Events are referred to as Subsequent Events. Below are more details on the two types of events.

Reconstructing the user journey

Having notified the Airbridge server, the Airbridge SDK proceeds to collect data about the Target Event and reconstructs the user journey.

The user journey consists of touchpoints and conversions, ideally associated with the same device identifier. When a Target Event occurs, Airbridge identifies touchpoints that occurred before the Target Event and conversions that occurred after the Target Event.

Below are more details on the user journey, touchpoints, and conversions. For more details on the data collected by Airbridge, refer to this article.

Prioritization rules

Not all touchpoints are given equal significance in the attribution process. Above all, fraudulent touchpoints are always excluded.

In addition, if there are multiple touchpoints in a user journey, only those of the highest priority are considered. This means that those of lower priority can never be identified as the winning touchpoint.

In the same context, not all attribution methods are given equal significance. For more details on the attribution methods used by Airbridge, refer to this article.

Below are the Airbridge attribution model’s touchpoint prioritization rules.

Setting the attribution timeframe

For accurate attribution, it is crucial to ensure that the data collected along the user journey are relevant to the Target Event. Time is an important factor here.

The impact of an advertising campaign tends to diminish over time. For instance, if a user installs your app after seeing two advertisements — one from the previous year and the other from the day before, the latter likely had a greater impact. This shows the importance of setting a specific timeframe in which touchpoints can be associated with conversions.

You need to determine the time before and after the Target Event for data collection. The period preceding the Target Event is referred to as the lookback window, and the succeeding as the attribution window. Touchpoints and conversions outside of these timeframes are not considered for attribution. Below are more details on the lookback and attribution windows.

Determining the winning touchpoint

Having collected data within a set timeframe along the user journey, Airbridge determines the winning touchpoint according to the rules below. Remember that Airbridge uses the last-touch attribution model.

  • When a Target Event takes place, the Airbridge SDK collects touchpoint and conversion data within the lookback and attribution windows, respectively.

  • Among touchpoints of the highest priority, the one closest in time to the Target Event takes credit for both the Target Event and the Subsequent Events. Fraudulent touchpoints are always excluded.

  • Deeplink Opens and Deeplink Pageviews are prioritized over App Installs. If a Deeplink Open takes place within the attribution window for an App Install, the window is reset to start from the point of the Deeplink Open.

Was this page helpful?

Have any questions or suggestions?