● E-commerce
Churn Rate
Percentage of customers lost over a given period. A high churn rate erodes LTV and increases acquisition costs.
Full definition
Churn rate measures the proportion of customers who stop purchasing from a brand over a given period. In e-commerce, it is generally calculated on a monthly or annual basis and represents the inverse of the retention rate. A high churn rate means that a significant portion of acquired revenue must constantly be rebuilt from new customers, placing heavy pressure on acquisition budgets.
Formula: Churn Rate (%) = (Customers Lost During Period / Customers at Start of Period) × 100. For example, 500 customers lost from a base of 10,000 active customers equals a 5% churn rate. In non-subscription e-commerce, the concept of a ‘lost customer’ is defined by convention — typically a customer who has not purchased in 12 or 24 months is considered churned.
Industry benchmarks for non-subscription e-commerce place annual churn between 20% and 40%. Sectors with recurring purchase patterns (beauty, food) display lower rates than sectors with infrequent purchases (electronics, furniture). Reducing churn by 5% can increase LTV by 25-95% depending on the business model — making it one of the highest-ROI levers available in e-commerce.
Concrete example
A sports nutrition e-commerce site has 8,000 active customers. Over 12 months, 2,400 make no new purchase — a churn rate of 30%. At an average CAC of €28, replacing these customers costs €67,200 per year just to maintain the baseline, with no net growth. The business is effectively running to stand still.
After deploying a post-purchase review collection program with systematic responses to negative reviews, churn falls to 22% the following year. 640 additional customers retained × €28 CAC avoided = €17,920 in immediate savings — not counting the additional LTV generated by those retained customers over the coming years.
With Review Collect
Review Collect reduces churn by addressing dissatisfaction signals before they lead to customer loss. AI-powered responses to negative reviews — delivered in under 60 seconds — frequently convert a poor experience into a moment of brand recognition, one of the most powerful retention levers identified in customer satisfaction research.
Additionally, the act of leaving a review creates emotional commitment to the brand: a customer who has taken the time to share feedback is statistically more loyal. With a 40% post-purchase collection rate, RC generates a continuous flow of micro-engagements that mechanically reduce churn and extend customer lifespan.
