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Smart silence, hard numbers: Inside Kayo’s billion-signal reinforcement learning engine – rolling CLV forecasts, double digit gains, and no more massive own goals, SMS spam, fake attribution - Mi-3.com.au
Braze
September 17, 2025
high impact
Braze Leverages Reinforcement Learning to Optimize Customer Engagement and Reduce Marketing Waste Kayo, utilizing Braze's advanced customer engagement platform, has developed a sophisticated billion-signal reinforcement learning engine that dramatically improves customer lifetime value (CLV) forecasting and marketing effectiveness. The solution addresses critical challenges in digital marketing, including reducing SMS spam, eliminating fake attribution, and minimizing marketing "own goals" through intelligent signal processing and machine learning techniques.
Key Takeaways
- arrow_right_alt Implemented a billion-signal reinforcement learning engine to optimize customer engagement
- arrow_right_alt Achieved double-digit gains in marketing performance and customer lifetime value
- arrow_right_alt Significantly reduced SMS spam and eliminated fake attribution issues
- arrow_right_alt Developed advanced CLV forecasting capabilities
- arrow_right_alt Improved overall marketing efficiency through intelligent signal processing