Price: $0.15090 2.9605%
Market Cap: $22.92B 0.7601%
Volume (24h): 1.55B 0%
Dominance: 0.7601%
Price: $0.15090 2.9605%
Market Cap: $22.92B 0.7601%
Volume (24h): 1.55B 0%
Dominance: 0.7601% 0.7601%
  • Price: $0.15090 2.9605%
  • Market Cap: 22.92B 0.7601%
  • Volume (24h): 1.55B 0%
  • Dominance: 0.7601% 0.7601%
  • Price: $0.15090 2.9605%
Home > 视频 > Predictable Retention: From Analysis to Churn Prevention

Predictable Retention: From Analysis to Churn Prevention

Release: 2026/06/17 16:26 Reading: 0

Original author:Johan Nilsson

Original source:https://www.youtube.com/embed/Gbt3zsxXt_8

About the Webinar ​Most Customer Success teams measure churn. Far fewer understand what's actually causing it. And even fewer have a systematic way to prevent it. ​The challenge isn't a lack of data—it's turning customer behavior into actionable insight before it's too late. ​In this webinar, you'll learn how behavioral analysis and AI can work together to transform churn from a lagging indicator into an early warning system. We'll show how leading B2B SaaS companies identify the behaviors that predict customer risk, translate those insights into measurable health indicators, and use AI to drive proactive retention efforts at scale. ​What You'll Learn ​Part 1: Why Customers Really Leave ​Niklas Kurki, Founding Partner at Colcrane Behavioral Analytics, shares what behavioral analysis reveals about churn that traditional reporting often misses. Learn how customer actions, engagement patterns, and decision-making behaviors can uncover risk long before renewal discussions begin. ​Part 2: Real Customer Examples ​We'll walk through real-world B2B SaaS cases and show: ​The behavioral patterns linked to churn ​The signals that predicted future risk ​The changes companies implemented based on those insights ​The measurable impact on retention ​Part 3: Turning Insight into Action with AI ​Understanding risk is only the first step. ​See how behavioral insights can be transformed into health metrics and fed directly into Jecta AI, enabling teams to: ​Assess customer health continuously ​Detect emerging risks earlier ​Prioritize accounts that need attention ​Receive recommended actions to improve outcomes ​Part 4: Building a Repeatable Retention Engine ​Discover a practical framework for continuous churn prevention: ​Analyze → Measure → Assess Risk → Act → Follow Up → Improve ​A repeatable system that helps your team learn from customer behavior, improve decision-making, and strengthen retention over time. ​Who Should Attend? ​This session is designed for: ​Founders and CEOs ​Revenue and Growth Leaders ​Heads of Customer Success ​Customer Success Managers ​If you're looking to move beyond intuition, spreadsheets, and reactive interventions—and build a more predictable approach to retention—this webinar is for you. ​Speakers ​Johan Nilsson Founder & CEO, Startdeliver ​Niklas Kurki Founding Partner & Lead Behavioral Scientist, Colcrane Behavioral Analytics

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