When launching a new app using Facebook app install campaigns, the initial performance is great as Facebook algorithms identify the best users with the highest probability of converting. However, as time passes and conversions occur, the audience population is reduced by two factors, those that converted and those that failed to respond. Ultimately, this impacts campaign performance through a reduction in audience size; declining CTR and fewer conversions. If UA efforts are focused on user growth, this may be less of an issue, however, if the focus is on user retention and managing costs to meet specific user LTV, these issues become more important.
The focus of this Case Study is to highlight the impact data, from the Appfluencer® Targeting & Scoring Algorithm, has on Facebook UA Campaigns. If you’re looking to maximize the potential of your UA efforts with high quality data specially created for highly effective targeting, this is the solution for you.
The bottom line. It works. The question is – Do you want to know how it can work for you?
“Using Appfluencer® Data can increase campaign performance through highly effective targeting which is enabled through the discovery of high potential targets as part of your UA exploration.”
Gabe Kwakyi, Co-Founder and Chief Marketer – Incipia