Fractional attribution is when credit is given to multiple sources for an install. You’re probably already familiar with single source attribution methods such as first and last click attribution, which give 100% credit to one source. Fractional attribution is an alternative approach, acknowledging more than one advertisement’s contribution to an install.
Each time an ad influences the user, this is called a touchpoint. With fractional attribution, the impact of each ad is measured. By tracking every touchpoint that influenced the user, that measurement can be used to attribute partial credit to any number of publishers, from the very first interaction to the user’s conversion. This is called the user’s journey to install.
As the term suggests, fractional attribution means dividing credit into fractions. This can happen several ways, including curve models, equal weighting and various multi-touch methods.
There are various multi-touch attribution models, all of which fall under the umbrella term of ‘fractional attribution.’ Finding the right attribution model depends on how you think credit should be divided. Here are a few examples of different fractional attribution models:
If you’d like to know more about curve models and multi-touch attribution, including best practices and why a marketer would choose each model, check out our in-depth look here.
It’s important to note that last click attribution (which is not fractional attribution) is the current standard throughout the industry. Mobile measurement partners, such as Adjust, attribute credit to the last click. This means that the advertiser will attribute the network that delivered the final click (before an install) with 100% of the credit and consequent payment.
Although multi-touch attribution is theoretically a fairer way to distribute payment, it is also susceptible to click fraud. In order to provide marketers with the ability to map out the user journey in their BI system, without leaving the front door open to fraudsters, we offer Adjust Multi-Touch.