An automated machine learning model that lets you know which users will convert in the near future. What will you do with this knowledge?
Once you can group users into likely converters and non-converters, 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.
Use the conversion likelihood to target users for 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.