Names and aliases
repeat supplier rate, repeat-success seller share
Formula
sellers_with_subsequent_success / eligible_sellers_with_initial_success × 100%
Metric card
| Unit | % of sellers |
|---|---|
| Data source | Seller cohorts, eligibility, deduplicated identifiers, terminal success events, and event dates. |
| Frequency | By first-success cohort after the repeat window closes. |
| Segments | micro-market, category, seller type, acquisition channel, cohort, quality tier |
Interpretation errors
- Substituting a repeat login or listing for a repeat successful outcome.
- Including sellers who lost eligibility before the repeat window without an explicit rule.
- Hiding demand dilution behind aggregate repeat transaction volume.
Example
Illustrative example: 30 of 100 sellers with an initial success achieve another success in the window, producing a 30% rate.
Use
Separate repeat activity from repeat useful outcomes. Report repeat beside seller availability, relevant opportunities, and supply-side success probability.
Anti-example
Republishing listings is not seller repeat when the metric’s success event is a completed transaction or qualified match.
Limitations
- The metric depends on category lifecycle, eligibility, and window length.
- Low repeat may reflect seasonality or finite inventory rather than platform deterioration.
Related metrics
seller-retention, seller-activation-rate, unmatched-supply-share, buyer-repeat-rate
Context sources
These works provide two-sided-market context; the formula above remains an author-defined working definition.
- Geoffrey G. Parker, Marshall W. Van Alstyne. Two-Sided Network Effects: A Theory of Information Product Design (2005).
- Kong-Pin Chen, Yen-Chi Huang. A Search-Matching Model of the Buyer-Seller Platforms (2012).