Converting over 8,000 subscribers with AI-driven prospect modeling
A fast-growing leader in online education
The challenge
What the client was trying to solve
The platform could not tell which users would become loyal paying subscribers, so marketing and discounting were untargeted.
Practice: Data, Analytics & AIThe business problem
- 01
No way to identify the patterns and characteristics of loyal, paying users within a growing student base.
- 02
Marketing and discount strategies could not be personalized at scale.
- 03
Predictive models had to integrate seamlessly into the existing platform to be useful.
VentureSoft's approach
How we worked back from the outcome
A SageMaker prospect model integrated into the platform, with personalized discount recommendations, hosted on AWS with a React Native app.
Analyzed student demographics and user behavior to identify the traits of loyal, high-value users.
Deployed an AI-based prospect modeling system on Amazon SageMaker to predict likely paying subscribers.
Integrated personalized discount recommendations directly into the EdTech platform.
Hosted the platform on AWS and improved the user experience with a React Native application.
Architecture
Problem, thinking, technology, outcome
The system as it runs, from the business problem on the left to the measured result on the right.
- Business problem
Student behavior data
Demographics and platform usage
- VentureSoft thinking
Amazon SageMaker
Prospect model predicting paying subscribers
- Technology
EdTech platform on AWS
Recommendations integrated into the product
- Technology
React Native app
Personalized discount offers in the user experience
- Measured outcome
Paying subscribers
Over 8,000 converted
Technology
- Amazon SageMaker
- AWS Cloud
- React Native
The outcome
Measured, not described
- 8,000+
- unpaid subscribers converted to paying customers
- More efficient marketing through data-driven, personalized discount strategies.
- A scalable, cloud-based platform ready for the startup’s rapid growth.
What changed
Discounts now go to the users most likely to convert. Over 8,000 unpaid subscribers became paying customers within a short timeframe.
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