Content

Executive's Guide to AI-First Churn Reduction: From Fighting Fires to Surgical Churn Prevention

This guide provides executives with a blueprint to:

• Transform reactive, resource-intensive customer retention efforts into proactive, targeted interventions using ML-based prediction
• Identify at-risk customers 6-9 months before traditional warning signs appear
• Efficiently action risk consistently without overwhelming resources
• Measure score performance, revenue impact, and ROI
• Improve gross retention by 5-10 percentage points while reducing operating costs

Braze Customer Case Study

Most customer scoring tools give you a "score"—Reef AI gives you a plan.

Braze’s data science team was stretched thin. Retention was critical. Time was short. The answer? Partnering with Reef AI for predictive churn insights 6–9 months ahead of renewals.

• Risk identified up to 9 months in advance
• Explainable recommendations, not black-box scores
• Fast to implement
• $5M+ in ARR opportunity identified

See how they transformed churn from a reaction into a revenue growth engine.

[Webinar] How Data—and Revenue—Will Shape the Future of Customer SuccessOrganizational Playbook

Speakers:

• ​Spencer Burke, SVP of Growth, Braze
• ​John Gleeson, Founder & General Partner, Success Venture Partners
• Brent Grimes, Founder & CEO, Reef.ai​
  
  

​In this webinar, CS leaders and innovators from Braze, Success VP, and Reef AI come together to explore what it means to operationalize a data-first, revenue-aligned CS strategy. From real-time analytics and predictive scoring to the rise of AI agents, this conversation will provide frameworks, examples, and honest perspective on what it takes to move fast—and make it count.