Measurement
Part of Marketplace seller software measurement framework
Marketplace seller software benchmark research protocol
A marketplace seller software benchmark research protocol for defining the measure, screening broad proxies and documenting comparability limits.
This marketplace seller software benchmark research protocol sets out how to screen evidence; it does not document a completed candidate-level search. No directly comparable authoritative England or UK marketplace-seller-software benchmark is identified here. Broad retail, business or tax records cannot be converted into a product-feed, stock, order-state or reconciliation threshold.
This article supplies a screening protocol, not an industry average or target.
What to take away
- No directly comparable authoritative England or UK marketplace-seller-software benchmark was found in the official sources checked.
- Broad retail, business and tax records cannot be converted into a product-feed, stock, order-state or reconciliation threshold.
- A rate based on marketplace acknowledgements cannot be compared with inspected rendered offers.
- The seller may compare the same stable definition across its own declared periods as an internal historical reference.
- The buyer's threshold stays blank and must come from its risk, evidence and decision authority.
Reject broad proxies
The ONS Retail Sales Index internet-sales dataset measures internet retailing within its stated statistical scope. It does not identify marketplace-software users, software functions, account configurations or eligible event denominators.
The ONS UK business activity dataset covers VAT and/or PAYE based businesses and local units, with published geography and classification. It cannot establish seller-software adoption or performance. HMRC's digital-platform seller guidance describes reporting and seller responsibilities, not a benchmark population.
These datasets may frame a separately worded question. They are non-additive and inadmissible as denominators for this niche measure.
Build an admissibility record
For every proposed benchmark, capture:
- exact software function and decision;
- event and state definition, including whether the record is transmitted, rendered, accepted, authorised, captured, fulfilled, retained, refunded, disputed or settled;
- population, sampling frame and recruitment or collection route;
- England, UK or other geography and the rule used to assign it;
- numerator, denominator or other unit;
- period, timezone, maturity window and publication date;
- duplicate, retry, bot, staff, missing, late and correction treatment;
- product, marketplace, channel and seller-mix exclusions;
- weighting and adjustment method;
- uncertainty, disclosure control and revision status;
- funding, conflicts and possible publication bias.
The Office for Statistics Regulation's Code of Practice for Statistics governs official statistics, not private marketplace reporting. Its quality, value and trustworthiness framework can inform questions about transparent methods, but it does not approve a commercial benchmark.
Test comparability before calculating
Place the seller's local definition beside the candidate record. Mark each field SAME, MATERIALLY DIFFERENT or UNKNOWN. A comparison is inadmissible if the function, event, population, denominator or later-state window differs materially. Unknown weighting, correction or funding can also justify HOLD when it could change the decision.
Do not average incompatible figures or select the most favourable one. A rate based on marketplace acknowledgements cannot be compared with inspected rendered offers. Orders placed cannot stand in for orders retained after the declared refund and dispute window. Captured value is not settlement, taxable profit or causal contribution.
The Government Data Quality Framework presents fitness for purpose, lifecycle management and communicated limitations for government data. Use those ideas as prompts to document the screening, while retaining their public-sector scope.
Use an internal reference carefully
The seller may compare the same stable definition across its own declared periods. Record schema and query versions, product and channel mix, operational changes, missingness and correction status. Call the result an internal historical reference, not an England norm. If a marketplace interface or accounting rule changes, break the series or provide an approved bridge rather than pretending continuity.
Publish a defensible finding
A completed research output should list databases searched, dates, candidate records, rejection reasons and unresolved fields. This article does not provide a candidate-level search record; its finding is limited to no admissible authoritative England or UK niche benchmark being identified here. The buyer's threshold therefore stays blank and must come from its risk, evidence and decision authority, subject to statistical and specialist review.
Before you act
- Reject broad retail, business and tax proxies as denominators.
- Capture the exact software function and decision for each benchmark.
- Mark each field SAME, MATERIALLY DIFFERENT or UNKNOWN.
- Do not average incompatible figures or select the most favourable one.
- Break the series if a marketplace interface or accounting rule changes.
- List databases searched, dates, candidate records and rejection reasons.
Common questions
Why can the ONS retail and business datasets not serve as a benchmark for marketplace seller software?
The ONS internet-sales dataset measures internet retailing within its stated scope and does not identify software users, functions, account configurations or eligible event denominators. The UK business activity dataset covers VAT and PAYE businesses and local units, so it cannot establish seller-software adoption or performance.
When is a comparison between a seller's local definition and a candidate record inadmissible?
A comparison is inadmissible if the function, event, population, denominator or later-state window differs materially. Unknown weighting, correction or funding can also justify HOLD when it could change the decision. Do not average incompatible figures or select the most favourable one.
What should the research output contain, and what is the finding for this review?
The output should list databases searched, dates, candidate records, rejection reasons and unresolved fields. For this review, the finding remains that no admissible authoritative England or UK niche benchmark was identified. The buyer's threshold therefore stays blank, subject to statistical and specialist review.
