Measurement
Part of Check sponsorship rates measurement before you report a return
How to choose sponsorship rates key metrics for brand deal reporting
A practical guide to picking sponsorship rates key metrics that survive scrutiny, with a before and after table, source-backed definitions and reporting checks.
What to take away
Sponsorship rates key metrics are the small set of numbers you use to justify a fee, compare deals and report results.
- Pick metrics tied to a decision, such as renewing a creator or raising a rate.
- Separate delivery metrics (reach, impressions) from outcome metrics (sales, sign-ups).
- Agree the counting window before launch, not after.
- Report the rate beside the metric, never on its own.
- Name an owner and a source for every figure you publish.
For a fuller method, the measurement and reporting guide shows how these numbers feed a rate review.
Start from the decision, not the dashboard
Most reporting problems start with a dashboard built before anyone agreed what the numbers are for. Ask what action follows. If no decision changes when a figure moves, the metric is decoration.
Pick metrics by decision
What action follows if the number moves?
keep metric, max six per decision
cut it, it is decoration
A renewal decision needs a different metric set from a pricing decision. Renewal asks whether the creator delivered against the brief; pricing asks what a comparable slot costs elsewhere. Two decisions can share data but rarely share a headline number.
Write the decision at the top of the page, then list no more than six metrics that could change it. Where two decisions pull in different directions, keep two short lists rather than one blended scorecard.
Define every metric in one sentence
The IAB UK insight archive publishes research on UK digital advertising formats, including creator marketing, and is a starting point for format-level definitions.
One-sentence metric definition
- What is counted
- Who counts it
- Over what period
- From which platform
- Cite platform definition or own version
For each metric, record what is counted, who counts it, over what period, and from which platform. A platform-dashboard reach figure and a panel-based one are not interchangeable.
Where a platform supplies the definition, cite it. Where you choose your own, say so, and add a version number so a reader knows which draft a figure came from.
Delivery metrics versus outcome metrics
Delivery metrics describe what was published: impressions, reach, views, clicks. They are cheap to collect and easy to inflate.
Outcome metrics describe what changed: sales, sign-ups, branded search volume. They cost more and carry more uncertainty.
Rate metrics versus performance metrics
Rate metrics describe the price: fee per post, cost per thousand impressions, cost per acquisition.
Report price and result together. For example, a cost per acquisition of £18 means nothing without the fee and the period it covers.
Set a baseline before the campaign
A metric without a prior period is a number, not a result. Where the channel allows, capture four weeks of ordinary activity before launch: follower growth, average engagement, site traffic.
BSI's brand valuation standard is a useful reference for separating brand contribution from other drivers when you claim a lift.
For England teams, check benchmarks against your own historic deals rather than a general average. The benchmark research notes explain why regional rate data needs care.
Where a campaign runs across two channels, capture a baseline for each one. A blended figure hides which channel actually moved. Keep the baseline file with the campaign pack so the comparison is reproducible.
Before and after: a metric set that works
The table below shows a typical weak set and a stronger replacement. Figures are illustrative examples, not market data.
Before and after
| Before | After |
|---|---|
| Total impressions | Impressions and unique reach, stated separately |
| Engagement rate | Engagement rate with the counting window named |
| Fee paid | Fee per deliverable and cost per thousand impressions |
| Link clicks | Clicks, sessions and conversions from a tagged link |
| A general claim of good performance | Result against the pre-agreed baseline |
| Platform screenshot | Source, date and owner for each figure |
Build the reporting pack
LinkedIn's advertising resources cover measurement practice for paid social, and the same discipline applies to creator reporting: name the objective, the metric and the window.
Keep the pack to one page per campaign. Lead with the decision metric, and put delivery figures after it. Store raw exports behind it so finance or legal can trace any number to source.
State the reporting period in the header. Comparing a 30-day campaign with a 90-day campaign will mislead unless the periods are normalised.
Where a deal covers several deliverables, report each against its own brief before giving a campaign total. A strong single post should not mask a weak one.
Common questions
How many metrics should a report include?
Aim for three to six. Any more and the reader cannot tell which number matters.
Should I report engagement rate or reach?
Both, with definitions. Reach shows how many people saw the content; engagement rate shows how many acted on it.
Can I compare my rates with published industry averages?
Only as a sanity check. Averages blend formats, sectors and audience sizes, so your own deal history is the stronger comparator.
What if the platform changes how it counts a metric?
Record the change and the date, then restate the prior period. Silent definition changes are the fastest way to lose credibility.
