A creator campaign can look successful on launch day and less convincing after the return window closes. A benchmark should describe the outcome the business intends to buy, and the point at which that outcome is mature enough to judge.
In its January 2026 overview of creator measurement, IAB identifies fragmented metrics, platform silos and reliance on proxy measures as obstacles to rigorous investment decisions. That is the industry context. The framework below is Aeris's editorial recommendation for teams whose creator programs are expected to generate commerce outcomes.
Start with the decision
Before building a leaderboard, write down the decision it will support. Are you renewing a creator partnership, licensing content for paid advertising, or increasing a product launch budget? Those decisions need different evidence.
A discovery campaign may emphasize qualified reach and audience response. A sales campaign needs order economics. Treating both as one competition rewards whatever is easiest to count and makes the ranking difficult to interpret.
Keep the objective visible next to every result. A creator should not lose a renewal decision because an awareness brief was later judged against a purchase target that was never part of the assignment.
Build comparable cohorts
Group work by market, platform, format, category, campaign objective and observation period. Note whether the audience was new to the brand and whether a promotion changed the offer.
Separate organic distribution from paid amplification. If one creator's video received media spend and another's did not, the total result describes different distribution strategies. Keep the combined business outcome, but show its components before drawing conclusions about creative quality.
Small cohorts deserve restraint. One successful post is a promising observation, not a stable performance promise. Show the number of campaigns and orders behind a result so the reader can assess how much confidence it deserves.
Follow orders through the return window
Track attributed orders, fulfilled orders, cancellations, returns and retained orders. Define the measurement cutoff in advance using the merchant's return policy and reporting delay.
Recent and older campaigns should not share a final ranking while one still has unresolved orders. Label recent results provisional. Refresh them when the agreed window closes, preserving the earlier view so the team can see how the estimate changed.
Partial returns require care. An order with several items may remain an order while much of its revenue disappears. Report retained net sales alongside order counts, using a consistent treatment of discounts, taxes and shipping.
Put costs beside the outcome
Create a contribution view that starts with retained net sales and subtracts product cost and the variable costs included in your agreed definition. Include creator compensation, content licensing, paid amplification and relevant fulfillment, payment and return costs.
Avoid subtracting the same cost twice. Some merchant exports already report a margin measure with fulfillment included. Finance and marketing should agree on one definition before the dashboard becomes a budget authority.
Content reuse can create value beyond the initial campaign. Record that value separately with its own costs and observation period. Do not credit a creator with all later sales from an asset without explaining the attribution rule.
Keep attribution and causality separate
A tracked link connects a purchase to a campaign under a measurement rule. It does not establish that the purchase would have disappeared without that campaign. Customers can encounter several creators, search for the brand and return through another channel.
Use attribution for operational reporting and describe its limits. When a larger investment depends on whether demand is incremental, design a suitable comparison or experiment instead of renaming attributed revenue as incremental revenue.
Make the next review useful
Bring one page per comparable cohort: objective, observation window, distribution mix, retained orders, retained sales, campaign costs and unresolved limitations. End with a decision: renew, test a different brief, wait for mature data or stop.
A useful benchmark explains what to repeat, what remains uncertain and how the next campaign can produce clearer evidence.
Source
IAB: The As-Is Measurement Landscape in the Creator Economy, January 29, 2026. This operating framework is Aeris editorial analysis, not an IAB-prescribed methodology.
