Spotting at-risk customers early can save your startup time, money, and momentum. This panel will cover practical, no-frills methods for tracking customer health - even if you don’t have a dedicated analytics team—so you can predict churn before it happens.
This session will cover key strategies for:
Defining simple health metrics that early-stage startups can track easily
Setting up a basic health score without expensive tools or complex systems
Identifying red flags - the usage and engagement trends that signal churn risk
Knowing when (and how) to intervene with high-risk customers
Collaborating across product and CS teams to align on churn prediction and prevention
Panelists will share real-world examples of how startups have built effective health-scoring models with limited resources - and how those insights have driven higher retention.
This session is a part of Startup Boston Week 2025 and is perfect for founders needing to prioritize resources, early CS hires tasked with building health-scoring models, and product and data teams working without a full-blown analytics stack.
