A SaaS platform was losing customers at 32% monthly churn, not because the product failed, but because users never reached their value moment in the first 30 days. What I built: ML models analysing 47 behavioural signals to predict churn 21 days in advance Trigger-based campaigns engaging at-risk users with personalised value demonstrations Milestone-based onboarding redesign driving 156% feature adoption increase Referral programme turning satisfied users into new acquisition channels Results: 44% churn reduction (32% → 18%) $1.8M annualised revenue impact 13% new subscriber growth via referrals CRM #Retention #ChurnReduction #MachineLearning #SaaS #LifecycleMarketing
- Designer
- Marketing Strategist