Leverage ML for Unique Personalized Customer Experience

Leverage ML for Unique Personalized Customer Experience

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 tools 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%