Measurement
Why the retail media benchmark register should stay empty until the definitions match
Retail media benchmark research for England keeps incompatible evidence separate and values unknown until metric definitions, cohorts and sources can be matched.
What to take away
- No public dataset was found that gives an England-only retail media benchmark for click-through rate, viewability, attributed orders or incremental outcomes, so the register stays empty and each value is UNKNOWN.
- A UK market-spend release describes investment, not the performance of an England campaign cohort.
- A figure becomes comparable only when its event, denominator, cohort and attribution window match the question.
- Ask a retailer media network for a first-party campaign export, and treat ONS retail statistics as context rather than a target.
- Keep modelled estimates and vendor-selected examples outside the register until their selection rules are published.
Why no England value can be published yet
The requested England benchmarks cannot be published from the public sources checked on 6 September 2026. The obstacle is not secrecy. It is a definition mismatch across retailer networks that reuse the same measure names.
Click-through rate needs qualifying clicks over matched eligible impressions. Viewability needs viewable events over a measured eligible base. Attributed orders need a credited-order rule and an allocation window. Incrementality needs an outcome unit, an analysis population and a causal design.
Reading the measurement definitions behind each metric shows how a denominator swap changes the number while the label stays the same.
Evidence compatibility requirements
- Defined event
- Denominator
- Cohort
- Reporting period
- Time zone
- Attribution window
- Exclusions and corrections
| Measure | Register value | Definition still missing |
|---|---|---|
| Click-through rate | UNKNOWN | Qualifying clicks and matched eligible impressions |
| Viewability | UNKNOWN | Viewable events and measured eligible base |
| Attributed orders | UNKNOWN | Credited orders, eligible denominator and allocation window |
| Incremental outcome | UNKNOWN | Outcome unit, analysis population and causal design |
Benchmark register: targets, not estimates
Candidate benchmark
- Click-through ratio
- UNKNOWN
- Viewability ratio
- UNKNOWN
- Attributed-order ratio
- UNKNOWN
- Incremental outcome
- UNKNOWN
Value
- Click-through ratio
- Qualifying clicks, matched impressions
- Viewability ratio
- Viewable events, eligible base
- Attributed-order ratio
- Credited orders, denominator, window
- Incremental outcome
- Outcome unit, population, causal design
Definition still needed
- Click-through ratio
- Viewability ratio
- Attributed-order ratio
- Incremental outcome
Those rows are research targets, not market estimates. Ad requests and served responses stay outside a rendered-placement denominator unless the chosen definition justifies their role. Rendering, viewability and attention remain separate observations, and no attention benchmark was established here.
What was checked, and why it did not qualify
IAB UK's Digital Adspend 2025 release reports UK advertising investment research carried out with Oliver Wyman, with retail media inside market spending. Only the public release was inspected.
A UK spend total cannot establish an England campaign benchmark because its geography and its unit answer a different question. That is a compatibility judgement, not a finding that the underlying research is inaccurate.
The Magenta Book evaluation annex separates impact designs and their limitations. It supplies methodological context for causal claims, not a performance series. Keep modelled estimates apart from observed outcomes.
Industry measurement standards, including the IAB Europe commerce media standards, define conventions. A convention is not an observed England cohort, and a recommended method should not be relabelled as an achieved level.
Public primary-source searches also covered government evaluation guidance and industry standards. Private campaign records and paid datasets were not obtained, so a missing value here does not prove that no suitable evidence exists elsewhere.
Where an England figure could come from
Four routes can produce a usable number, each with a different cost and a different evidence trail.
- Ask the retailer media network for a campaign-level export covering your metric, geography and period.
- Use ONS retail industry statistics for England sales and ecommerce context, never as a performance target.
- Buy or request syndicated measurement panels that publish their method and coverage.
- Commission a controlled test with a pre-registered analysis plan.
Before comparing anything, settle the attribution window options, because click-based and view-based rules credit different orders.
A request should name the metric, the geography and the cohort in the same sentence. Then the supplier can say quickly whether the export answers the question, or whether a new test is needed.
What a comparable row would need
A number is comparable when its event, denominator, cohort and window match the question. Otherwise a different measure is wearing the same label.
Write the definition before you collect the data, and keep the correction history with it.
Checklist before you quote a benchmark
- Confirm the data covers England, not UK or international totals.
- Check the defined event, denominator, cohort and reporting period.
- Record the attribution window, exclusions and correction treatment.
- Keep modelled estimates separate from observed outcomes.
- Preserve the original currency and document any GBP conversion.
Common questions
Are there any England retail media benchmark figures?
None were found in the public sources checked that matched the requested measures for an England cohort, so no value can be quoted.
Why not use the UK Digital Adspend figure as a proxy?
Because it measures investment at UK level, not campaign performance in England. Using it would mix two units and two geographies.
What should a business request first?
A source dataset and methodology that name the event, denominator, cohort, period and attribution window. Recheck compatibility before any calculation or ranking.
Where can a smaller retailer start?
With its own campaign export and one clearly defined question. The workflow and reporting owners guide keeps the export, the definition and the correction log in one place.
