iGaming influencer campaign reporting

Reconcile the contract first

List every creator, deliverable, due date, publication link, live duration, usage right and make-good. Mark approved changes separately from missed delivery.

This operational layer prevents performance analysis from rewarding content that was never delivered as contracted.

Separate attention from acquisition

Report views, reach, watch time or concurrency using each platform’s definitions. Then report clicks, registrations and qualified events from the relevant systems of record.

Do not add incompatible reach metrics into one precise-looking total without explaining overlap and methodology.

If the report includes answers from search assistants, keep an AI brand visibility report alongside the campaign figures so observed mentions and citations do not become claimed registrations or revenue.

Show cohorts and limitations

Where possible, compare creator cohorts on qualification, retention or value over a suitable window. State missing identifiers, cross-device gaps, code leakage and modelled components.

A smaller cohort with stronger downstream quality can justify renewal even when its cost per registration is higher.

End with named decisions

Classify creators and formats: renew, expand, revise, hold or stop. Give the evidence, confidence and next test for each recommendation.

Archive the final data dictionary and creative examples so the next team does not restart from screenshots and memory.

Start the report with the question the buyer must answer

A campaign report should help someone decide whether to renew talent, change the creative, repair a destination or run another test. Name that decision before presenting the data. Otherwise a deck can contain dozens of accurate charts while leaving the practical question unanswered.

State the reporting period, capture date, timezone, cost basis and event definitions on the first reporting page. Label incomplete cohorts and unavailable data. Missing analytics access is a limitation; it is not a zero result and should not be hidden behind an engagement screenshot.

Use a report with an auditable path to the source

Use a stable creator and asset ID across each block. If the audience chart and acquisition export refer to different naming systems, reconcile them before making a creator-level recommendation.

Write a recommendation your team can test

“Improve performance” is not an action. A useful recommendation names the observed issue and the proposed change: for example, clarify the registration explanation while keeping the creator and destination fixed. It also states which result would support or reject the hypothesis.

Keep causal language proportional to the design. Attributed registrations do not prove incremental demand, and an increase during a sporting event may reflect several simultaneous changes. When the evidence is insufficient, recommend the next measurement step rather than expressing certainty the report cannot support.

Worked example: two creators need different next actions

Imagine a hypothetical campaign where creator A produces many eligible visits but few completed registrations, while creator B produces fewer visits with a higher registration-completion rate. It would be premature to declare B the winner solely from that ratio. The team needs comparable windows, the same event definitions and enough context to understand the audiences and destinations.

First reconcile delivery. Did both creators publish the contracted integration, at the agreed time, with the correct link? If A’s destination was broken for part of the window, the result includes a delivery-path failure. Describe that failure directly rather than attributing it to poor creator fit. Record the affected period and avoid silently excluding it to improve the headline.

Then examine the funnel. If A’s visitors reach the landing page but abandon at a specific step, investigate whether the explanation and destination match. If B’s registrations are mostly outside the permitted or qualifying cohort, a good top-line conversion rate may not represent useful acquisition. Follow the event dictionary through to the contracted outcome instead of stopping at whichever metric looks best.

The next action for A might be a destination repair followed by a small retest using the same creator and message. The next action for B might be a closer audience-fit review. Those are hypotheses, not conclusions that the hypothetical numbers alone can establish. Name the owner, the changed variable and the observation window for each proposed test.

In the report, show the unresolved questions next to the recommendation. A reader should be able to distinguish the verified facts, the analyst’s interpretation and the proposed experiment. That distinction is especially important when small cohorts produce unstable rates. The report succeeds when the team knows what decision the evidence supports now and what else it needs to know before committing more budget.