Split testing audiences causes overlap -
raising your costs and tainting your data
When you split test multiple audiences you are likely to get overlap between them, meaning you would essentially be bidding and outbidding yourself - which results in raised overall costs. In addition, the overlap means that your data is tainted.
This is how split testing is typically done with other platforms:
upRive Audiences eliminate overlap, save money, and deliver 100% pure data!
0% Overlap. That means zero waste and 100% pure split-testing!
When you split test with upRive, you have the option to automatically eliminate overlap in a single click across your multiple audiences completely before launching a campaign.
This allows for a purer form of split testing which drastically reduces your cost to reach the exact same audience and improve your overall ROI.
Here are the same audiences, but this time we applied our unique Noverlap method: