It’s far more expensive to acquire a new customer than to retain an existing one. Losing customers erodes revenue and drags down growth.
Customer churn hurts – lost customers mean lost revenue and higher costs to replace them. Whatever churn looks like (cancellations, non-renewals, fading engagement), tackling it after customers leave is difficult and costly. You need to know who might leave before it happens. Enter Pecan’s predictive analytics: a proactive approach to anticipate churners, intervene early, and keep more customers onboard (no farewell party required). You can deploy a predictive ML model in days – so you can start reducing churn before your customers slip away.
It’s far more expensive to acquire a new customer than to retain an existing one. Losing customers erodes revenue and drags down growth.
Traditional reports only tell you after a customer leaves, when it’s too late to act. Reacting to churn post-mortem doesn’t save the relationship.
Churn indicators are hidden in disparate data (usage drops, support tickets, etc.), making it hard for teams to identify at-risk customers in time.
Without knowing who’s likely to churn, retention campaigns can waste resources on customers who would have stayed anyway – or miss those quietly slipping away.
Without knowing who’s likely to churn, retention campaigns can waste resources on customers who would have stayed anyway – or miss those quietly slipping away.
Pecan’s Customer Churn solution uses AI to predict who is likely to churn – before it happens. It analyzes your existing customer data (transactions, visits, engagement, etc.) to spot patterns that precede churn. With those predictions, you can focus on the right customers and improve retention proactively. Your team gets early warning signals and clear churn risk scores, all through a super friendly platform that BI and data analysts can use (no data science PhD needed).
Here’s the thing: speed wins when it comes to churn. You need to start experimenting fast on what will improve engagement for your high-churn-risk customers. Don’t overengineer and wait 6-12 months to perfect a fancy DS-approved model when you could have a great working solution in just a few weeks. Pecan makes it simple: you’ll know which customers to reach out to, when to intervene, and even why they’re at risk – empowering you to act fast with confidence and start testing retention strategies right away.
The result? Higher customer lifetime value and a stronger bottom line, using the team and data you already have.
By predicting churn and guiding timely interventions, Pecan helps turn the tide on customer attrition, cutting churn from double-digits to single-digits.
Identify which customers are most likely to churn in the future, so you can act in advance rather than react afterward.
Focus your time and budget on the customers with the highest churn probability. By concentrating retention efforts where they matter most, you’ll save resources and improve campaign ROI.
Use Pecan’s predictions to tailor messages or offers that win back customer interest before they leave. Granular insights guide you to choose the right treatment for each at-risk customer, increasing the chance of keeping them.
Pecan integrates with your CRM, marketing automation, and other systems to trigger actions instantly. For example, when a high-risk customer is identified, it can automatically initiate a “VIP save” offer or alert your customer success team – ensuring no at-risk customer slips through the cracks.
Uncover why customers might churn. Pecan reveals the key factors influencing churn – whether it’s lack of usage, product issues, or something else. These explainable insights help you address root causes and continuously improve the customer experience to prevent future churn.
Book a demo now to see how Pecan predicts churn and helps you keep your customers for the long run.