Revenue churn is the percentage of subscription dollars up for renewal that a company loses over a given period, or the ability to keep the contract value of existing customers. Along with customer churn, which measures logo retention, these two metrics provide a lens to view the health of a company’s customer base. Reducing revenue churn starts with understanding the underlying customer behaviors. With Pendo Predict, for example, teams can forecast churn and revenue risk with AI models trained on real usage data.
Il existe de nombreux moyens de mesurer l'attrition des revenus. Le plus fréquent en sans doute la fidélisation des revenus nets, qui tient compte des changements de valeur du compte sur une période définie (par ex. ventes supplémentaires ou en moins) au cours de cette période. Si les revenus issus des ventes supplémentaires compensent ou dépassent les revenus perdus du fait des ventes en moins et de la perte de clients, le taux de fidélisation des revenus nets peut être supérieur à 100 % ; il est alors appelé attrition négative. Dans les activités à abonnement, en particulier en SaaS, un taux de fidélisation des revenus nets de 110 % ou plus est considéré comme exceptionnel.
Both are important. By comparing revenue churn and customer churn, a business can see if retention is consistent throughout the customer base, or if there’s more churn with small customers (higher customer churn, lower revenue churn) or if large customers tend to be more at-risk (lower customer churn, higher revenue churn). By having multiple ways to measure overall customer health, an organization can prevent over-reliance on one metric, and be more likely to detect issues in the data before they become problematic.
3 data points in Pendo to help you stay ahead of customer churn