Prior Situation / Scenario:
- Customer Value Management Platform in place
- Relatively good campaign up-take
- Costly operation and constant offers and rewards adjustment required
Client Challenges:
- Manual offers’ assignment and configuration
- A rather good campaign up-take
- Assigning segmented treatment for new customers is difficult
- Challenge to maintain and evaluate marketing strategies
Strata Solution/ Key Enablers:
- Strata Recommendation Engine (SRE) is a complete analytical solution designed to recommend personalized offers maximizing profit for the operator
- SRE combines all Strata ML models portfolio with the AWS Personalize Service and the Strata RTDM Solution to guarantee an integrated solution
- SRE is a ML Customer Centric Solution, but it also incorporates a re-ranking algorithm in order to guarantee company’s profitability
Outcome:
- A/B testing resulted in a 13% ATPU (Average Transactions Per User) increase compared to regular offers
- Increased the exploration of new products and offers prior to market wide launch and conversion to purchase
- Substantial operational simplification including product life cycle analysis
- Projected 1.7MUSD of incremental revenue
Results:
It took four months for deploying a fully managed machine learning service that makes it easy to deliver personalized experiences to the end users, customer take up rate surpassed previous rates by 22%