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Customer Story

Real-Time and Machine Learning in Marketing Campaigns

Service Provider across 14 Caribbean countries.


Prior Situation / Scenario

  • Batch campaign operation
  • Too many messages sent to users with little or no context.
  • No offers are being sent based on end-user actions (purchase, top-up balance, etc.).

Client Challenges

  • Subscribers complain about receiving too many messages.
  • Incentives sent to nearly every suspected subscriber.
  • How to Automate the Contextual Real-Time Campaigns

Strata Solution/ Key Enablers

  • Real-time campaigns for timely, suitable, and relevant offers
  • Created an algorithm to predict the probability of recharging or using the balance.
  • Implement a contact policy that combines batch and real-time processing campaigns
  • Conduct control groups and A/B tests to analyze the effects of offers and campaigns.
  • Analytics dashboard for performance monitoring

Outcome

  • Real-time contextual offers are aligned with the subscriber’s context and activity.
  • Consumers see the uniqueness of his/her offers.
  • Increase in campaign performance

Results

Within the first six months of the CBM & Marketing Automation program, subscribers’ incentives decreased by 42%, and the take-up rate increase by 29%.

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