It’s the percentage of customers who come back and make another purchase after their first order. This metric shows how well your store retains customers over time.
Your input is compared against anonymized, niche-specific industry data, so you see how your store performs relative to similar businesses—not just generic averages.
While it varies by niche, strong loyalty programs and well-optimized stores often fall in the 40–60% range. Anything above that is typically considered excellent.
Repeat buyers spend more, convert faster, and drive predictable revenue. Improving this rate directly boosts customer lifetime value and reduces reliance on paid acquisition.
Not necessarily. It simply shows there’s room to improve your retention strategy. Many stores start low and can raise their rate significantly with structured loyalty, communication, and incentive flows.
Monthly is ideal. This helps you track improvements, detect early signs of churn, and understand how changes in your store affect repeat behavior.
Yes, but results may fluctuate more with smaller datasets. As your order volume grows, the insights become more stable and indicative of long-term trends.
Absolutely. Some categories naturally have higher loyalty and repeat behavior than others. That’s why our calculator uses niche-specific benchmarks instead of a one-size-fits-all score.