Web · 2017-12-18

‘DataEagle’ uses AI to re-engage users using automated A/B testing

Stats show that for most mobile apps, over 60% of users abandon the app after the 1st try, & the rest gradually turn over time. DataEagle helps you optimize the moments in time you should send push notifications to users after they’ve been away to help re-engage users & improve revenue.

DataEagle’s automatically segments your users by running arrays of A/B tests, thereby optimizing your messages’ timing. The company estimates that particular messages can engage 2-3X more effectively when sent at optimized time points. DataEagle’s deep machine learning AI algorithms crunch the numbers for you so you don’t have to spend time designing & running tedious experiments & analysis.

It actually measures your messages’ impact on user retention & not just on open rates, allowing you to strategically tweak the content of your messages & to get meaningful feedback. You also save time, since integration with popular messaging services: iOS, Android, Amazon, Windows Phone, Unity 3D, Phonegap, Marmalade… is done through the OneSignal API.

To get started, you connect DataEagle to your OneSignal account & specify message & calendar dates for your 1st campaign. DataEagle then runs a bunch of simultaneous A/B tests on a small set of your users & determines best message timing for automatically defined user segments.

Then, data from the A/B tests is analyzed to optimize the best times to contact users & a determination is made regarding the impact of messages on retention & revenue. The final step is to roll out optimized messages & times to the rest of your users taking into account the analysis made during the automated A/B testing phase.

DataEagle is based in Vancouver, BC, Canada, & was co-founded by serial entrepreneur Soroush Khodaii & AI expert Gavin Jenkins. They have worked to apply concepts like neural modeling, big data & the modeling of customer relationship management to DataEagle.

 – This is a startup profile based on publicly available material & not a review – 

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