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Now You Can Stop App User Churn Before It Starts — And Adikteev’s Kate Lovejoy Shares How
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Το περιεχόμενο παρέχεται από το Peggy Anne Salz. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Peggy Anne Salz ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
Predicting which users are likely to churn is a superpower that app marketers can wield — if they have what it takes to identify users highly likely to churn early in the game and keep them active longer. Fortunately, marketers have both in a new engine that predicts churn with incredible accuracy and automates the process end-to-end. In this episode of The Groove, in collaboration with The 5 O’Clock Club, Kate Lovejoy, Chief Performance Officer at Adikteev, an advanced app retargeting, churn prediction and cross-promotion platform, has the mic. She chats with our host Peggy Anne Salz about the tech that allows Adikteev’s model to classify and score users based on their likelihood to churn. With these insights, Kate says, marketers can focus efforts and resources on “targeting those users in the highest-liklihood-to-churn bucket to make sure they don’t go away from your app altogether.” Kate also shares some tough love and advice for marketers to make retargeting great (and effective) again and cultivate the curiosity and courage to test, iterate and try new things.
CHAPTER TIMESTAMPS
00:00 - What gets Kate into The Groove?
02:52 - Making retargeting great again
08:06 - Accurately predicting and ranking likelihood to churn
11:15 - A free pre-campaign analysis
14:34 - When doesn't retargeting make sense?
16:27 - Tough love for marketers
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