Our predictive analytics solution gives you clear and actionable insights into your customers’ LTV so you can confidently optimize your campaigns, and predict long term results, without having to wait
The more time you spend waiting for campaign results, the more money you may be wasting.
Our predictive analytics engine uses machine learning to identify and map correlations between early user engagement indicators and expected user value to give you accurate predictive insights early in a campaign’s lifetime.
When you respect user privacy you build stronger, longer lasting relationships.
Predictive analytics give you the ability to view aggregate customer behavior indicators without relying on user identity, so that you can base your decisions on comprehensive engagement data while preserving customer privacy.
More data enables better decisions.
Our predictive analytics engine gives you accurate, predictive KPI values based on every measurable event, within a minimal time frame, so that you can make all of your post-install engagement data count when making optimization decisions.
An ever evolving industry requires forward thinking solutions. Discover how our predictive analytics solution can help you optimize your campaigns, without the wait, while preserving customer privacy.
Get clear data science insights for your marketing efforts through one comprehensive dashboard
Sync with Apple’s SKAN to easily translate predictive KPI values into SKAN conversion values
Get a detailed, aggregate view of predicted campaign performance values, broken down to predictive ROAS, ARPU, retention rate, cost and more.
Preserve your customers’ privacy by basing your decisions on predictive insights and behavioral indicators without relying on user identity.
Leverage the competitive edge of a unique predictive model made for your app’s distinct LTV logic, based on first party historical data and customer behavior correlations.
Give media partners immediate access to predicted KPI values for accurate media quality and performance feedback.
Predictive analytics puts the power of AI, machine learning, and advanced data science techniques in your hands, to give you a competitive advantage in an ever-shifting environment.
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AppsFlyer’s SDK measures all of a user’s engagement data in their initial 24 hours post-install, this information is analyzed by the PredictSK AI engine to answer key user behavior questions:
Yes, AppsFlyer’s predictive analytics solution is fully aligned with Apple’s ATT and user-privacy requirements, and communicates seamlessly with SKAN.
No, five of the six bits will indeed be used for delivering the predicted user KPI value to SKAN.
The additional sixth bit can be used through AppsFlyer’s conversion studio to generate additional measurement indications for user behavior and value.
PredictSK is currently in beta, and only available for qualified AppsFlyer customers. Prior to onboarding PredictSK, a machine training period is required in which the predictive analytics AI engine will review your app’s historical data, identify correlations between user engagement points and their eventual value to the app, and translate these into a unique predictive model. App owners are encouraged to add business inputs in the form of highlighting key events, event value association and more, to help the model better reflect their business objectives.
