Glossary
Predictive Analytics
Predictive analytics uses historical data, statistical algorithms, and machine learning to forecast future customer behaviors — such as who is likely to churn, which leads will convert, or when a customer is ready to buy.
Common Predictions
- Churn Risk: Which customers are likely to cancel
- Conversion Probability: Which leads are most likely to become customers
- Optimal Send Time: When each customer is most likely to engage
- Lifetime Value: How much revenue a customer will generate
- Next Best Action: What message or offer will be most effective
From Reactive to Proactive
Without predictive analytics, businesses react after customers leave. With it, they can intervene before churn happens, prioritize the highest-potential leads, and deliver offers at the exact right moment.
See these concepts in action
Gleantap combines AI agents, automation, CRM & analytics into one platform.
Book a Demo or Try It Free →