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An automated machine learning model that chooses the best combination of timing, creative and call to actions for each user to maximize conversions. What will you do with this knowledge?
Once you can generate a personalized combination for each user, here's what you can do:
Target converters with appropriate informational messages to increase conversion rate and also to lower time to first conversion.
Streamline user experiences for likely converters; and increase engagement with non-converters with a different user flow.
Include monetization ads in the call-to-action mix. This method solves the perennial of increasing ad revenue without sacrificing in-app purchases or user retention.
Prioritize and triage customer service requests with based on user value, including her probability of conversion in the near future.
Identify lookalike audiences who are most likely to convert. Exclude users who are least likely to convert.
Some packages that leverage this machine learning model are
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