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Making Creatives Count: UA and Retargeting Ads in a Privacy-First World

Featuring an expert panel comprising Hanna Dolgonos from Playtika, Shamanth Rao from Rocketship HQ, and Kate Lovejoy from Adikteev, this webinar provided deep insights into the critical distinctions between UA and retargeting creatives, invaluable testing strategies, best practices, and a treasure trove of tips for marketers in our privacy-centric app landscape.

On-demand Webinar
40 mins

 

 

Topics covered:


Adikteev-ok  Key differences between mobile UA and retargeting ad creatives


Adikteev-ok  Similarities and differences in ad creative testing strategies for UA vs retargeting campaigns


Adikteev-ok  Best practices in segmenting, targeting and creative messaging to existing users to keep them engaged and spending in your app


Adikteev-ok  Evaluating the effectiveness of creative in the new privacy landscape

 

Featured speakers:

Profile picture-Shammanth 250x250

(19:00-19:55) 
 

quotation-marks-set-02 With a new user, you need to lead with something that will peak their attention or curiosity. That's what we call a hook— it could be visual, something unusual, or an object. Meanwhile for a retargeting ad, you want to remind them of something they have already seen in the app or the game. It’s not so much about grabbing their attention but more on reminding them.quotation-marks-set-01

Shamanth Rao, Founder & CEO @ Rocketship HQ

 

Profile picture-Hanna 250x250

 
(21:02-21:26) 
 

quotation-marks-set-02 We’re not going to target a user that hasn’t been in the app for seven days with the same creatives for the users who haven’t been in the app for 30 days. This is why I'm always talking about the importance of testing, checking everything, and using as many creatives so we can understand exactly what works best.quotation-marks-set-01

Hanna Dolgonos, Retargeting Manager @ Playtika

 

 

Profile picture-Kate 250x250

(17:27-17:54) 
 

quotation-marks-set-02 What we've been experimenting recently that has some pretty great results is churn prediction. Instead of using these rule-based logics for building audiences, we can run machine learning to pinpoint the exact moment we think a user is likely to churn, and build audiences off of that. It’s been an interesting evolution in retargeting.quotation-marks-set-01

Kate Lovejoy, COO Retargeting @ Adikteev