RFM tool constantly monitors the health of your audience to run machine learning models on your data to automatically present 10 actionable segments of users based on their evolving lifecycle stages. Instantly identify champions, loyal users, at-risk or hibernating users to build contextual campaigns that respond to user needs in real-time.
Effective CLM helps improve customer lifetime value and increase profitability with relevance. Tailor your marketing based on lifecycle stages to create a data-driven approach to customer engagement. Use actions that are optimal for each lifecycle stage – for example, reward loyal users, run a referral program on champions, and target monetization programs on promising customers.
Higher CTR with ab testing
Reduction in new user churn
Increase in week 3 retenion rates
Improvement in average CTRs with personalization
With event-centric campaigns
Using data-based insights from Pivots
Increased Campaign CTRs
Increase in 90-Day Retention Rate
Increase in MAUs