Most marketers optimize for the buyer who stays. But what about the buyer who's about to leave? In this episode, Lucas and Luna explore the 'exit intent blind spot' — the gap between what a customer does right before churning and what the standard journey map captures. They look at a specific case: a mid-size B2B SaaS company called FieldSync that improved retention by mapping the pre-churn micro-behaviors like ticket backlog growth, login frequency decline, and muted feature usage. Lucas breaks down how FieldSync overlaid behavioral data onto their journey map, added a 'pre-lapse lane,' and captured thirty percent more at-risk accounts before they canceled. Luna challenges whether adding more lanes just complicates the map, and the hosts debate whether journey mapping should focus on churn signals or stickiness signals. The conversation lands on a practical takeaway: map the exit, not just the entrance.
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