Move Beyond Lookalikes and

Improve UA

with Sophisticated Targeting

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 

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“Using Appfluencer® Data to target on Facebook was a huge win as it allowed us to overcome both the scalability challenges of Lookalike campaigns…

— John Boog-Scott, COO, UA & Monetization

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Appfluencer® Data Campaigns Outperform Facebook Lookalike Campaigns

Using Appfluencer® Data to target on Facebook was a huge win as it allowed us to overcome both the scalability challenges of Lookalike campaigns and the dilutive effect that occurs the further you target from 1% & 2% Lookalikes. Appfluencer® Data not only helped us save money and time, it really helped to drive better overall performance from our Facebook campaigns! John Boog-Scott, COO, UA & Monetization

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 activity, through the reduction in audience, the falling ratio of link clicks and reduced conversions. Combined these factors can  increase campaign costs.

While Facebook is a popular destination for a large base of users where new information  is gathered daily, it is possible to reach a point where the cost of acquisition no longer supports your revenue goals, regardless the way it is measured.

There is a widely held view among UA Professionals that using lookalike audiences on Facebook will get you the highest quality users for your app. While this has been true, there are challenges that need to be overcome. For instance, relying exclusively on Lookalike campaigns can increase campaign costs to the point where revenue goals are not being met.

These challenges can be split into audience, and performance, they include:

  • Audience
    • Decreasing audience size
    • Audience overlap
    • Identifying new audiences
  • Performance
    • Increasing campaign costs
    • Decreasing conversion rates

Appfluencer® Data Overcomes UA Challenges on Facebook App Install Campaigns in the following areas:

  • Audience Exploration
  • Audience Targeting
  • Acquiring Users at Scale
  • Audience Exclusions
  • Minimizing Campaign Costs

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

Performance Summary

The images above illustrate performance from July 1, 2017 thru July 27, 2017. Campaign Data was used to create the following comparisons:

  • Campaign Spend
  • App Installs, and
  • Analyses of CPC Costs

Download the Case Study to learn more.

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