customer-retention

Determining when to classify a customer as 'churned' is a critical yet tricky aspect of SaaS analytics. This article explores different approaches for identifying churn signals, diagnosing the drivers of customer contraction, and using churn analytics to inform retention and expansion strategies.

Discusses key metrics and analytical techniques for understanding customer retention, churn, and expansion drivers. Covers topics like logo vs. dollar churn, net revenue retention (NRR), cohort-based survival analysis, and identifying expansion opportunities through upsell and cross-sell.

A deep dive on how Airbnb measures and uses listing lifetime value to identify the most valuable accommodation listings for their guests. The article covers the framework and methodology Airbnb uses to calculate LTV, including retention curves, discount rates, and segment-level LTV comparisons.