Tag: machine learning


Google Universal App Campaigns (UAC) were launched in mid-2015 as part of Google’s efforts to utilize machine-learning in the advertising product offerings. The objective was for the machine-learning system to analyze, in real time, millions of signals to put your app in front of the best possible users.

IMVU started testing UAC campaigns in early September 2017, a few months before Google officially forced all AdWords mobile app campaigns on Google Search, Display, and YouTube to transition over to UAC. The biggest challenge for us was giving up control and transparency into optimizing our campaigns vs. trusting Google algorithms to do that for us.

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Look, we get it… you have a top secret BI formula for determining customer LTV that uses 16 distinct variable calculations in addition to 11 secret herbs and spices. If partners knew how it was calculated, they’d try to maximize their score rather than getting you the highest quality users. Ending up with truckloads of “high score” installs that are of little value is a nightmare that keeps you up all night.

Relax. We aren’t asking for the formula to your secret sauce, instead just a general idea to what a quality user looks like. You know… the metrics you actually care about, what your best users look like, and of course any more data that you can share with us. (more…)

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