Tanwar-12/Directing-Customers-to-Subscription-Products-through-App-Behavior-Analysis.
The objective of this model is to predict which users will not subscribe to the paid membership, so that greater marketing efforts can go into trying to convert them to paid users.
This project helps marketing and product managers in companies with mobile apps to identify which free users are unlikely to convert to a paid subscription. By analyzing customer behavior data from their first 24 hours in the app, it predicts who needs targeted promotions. The output is a list of users to focus marketing efforts on, helping allocate resources more efficiently.
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Use this if you want to optimize your marketing spend by knowing exactly which free app users need extra incentives to subscribe to your paid membership.
Not ideal if you don't have detailed first-day app usage data for your customers or if your conversion strategy doesn't rely on targeted promotions.
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Jun 04, 2024
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