Affiliate Marketing Performance Reporting
The affiliate network's dashboard reports a certain number of clicks and conversions for each partner, and commission gets paid based on those self-reported numbers, but nobody's consistently reconciling that against what internal analytics and the order system actually recorded for the same period. A handful of affiliates run cookie-stuffing or last-click-hijacking tactics that inflate their reported conversions without driving genuine incremental sales, and without a reconciliation step, the business ends up paying commission on sales that would have happened anyway through a different channel, or that never happened at all.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 4-6 hrs/month in manual reconciliation and commission verification.
How the automation works
We pull click and conversion data from the affiliate network and cross-reference it against internal analytics and order records for the same period, flagging discrepancies where an affiliate's reported numbers diverge meaningfully from what internal systems independently recorded. Commission calculations are checked against the program's actual tier and rate structure before payout, catching miscalculations before they compound across a large affiliate base. Per-affiliate performance — not just volume, but conversion quality, average order value and return rate on affiliate-driven sales — gets tracked over time, surfacing which partners drive genuinely incremental, high-quality traffic versus which ones inflate volume without matching value.
Process flow
- 01
Pull affiliate network reported data trigger
Click and conversion data reported by the affiliate network is pulled for the reporting period, per affiliate, as the network's self-reported baseline for comparison.
- 02
Cross-reference against internal records integration
Network-reported conversions are cross-referenced against internal analytics and order system records for the same period, checking whether independently tracked data confirms the affiliate's reported activity.
- 03
Flag meaningful discrepancies ai
Affiliates whose reported numbers diverge meaningfully from internal data get flagged for review, distinguishing normal tracking variance from a pattern suggesting inflated or fraudulent reporting.
- 04
Verify commission calculation ai
Commission owed is recalculated against the program's actual tier and rate rules and compared to what the network calculated, catching payout errors before they go out.
- 05
Per-affiliate quality report output
A report tracks each affiliate's volume alongside conversion quality, average order value and return rate, surfacing which partners drive genuinely valuable traffic versus inflated volume.
Inputs
- Affiliate network click and conversion reports
- Internal analytics and order data
- Program commission tier and rate rules
- Historical affiliate performance baseline
Outputs
- Cross-referenced discrepancy flags
- Commission calculation verification
- Per-affiliate quality and value report
- Return-rate-adjusted performance tracking
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Cookie duration mismatches between the affiliate network's tracking and internal attribution windows create legitimate discrepancies that look like fraud but aren't — a network crediting a 30-day-old click that internal analytics attributed to a different, more recent touchpoint is a tracking configuration issue, not necessarily bad-faith behavior, and needs to be diagnosed before an affiliate gets flagged unfairly.
- Return and refund rates need to reduce commission owed, not just the original sale reporting — an affiliate whose referred customers return products at a much higher rate than average is driving lower-quality traffic even if their raw conversion count looks strong, and commission structures that don't clawback on returns overpay for that quality gap.
- A genuinely high-performing affiliate flagged repeatedly on minor discrepancies due to a tracking configuration mismatch, rather than actual fraud, will eventually take their traffic to a competitor program that doesn't scrutinize them as closely, so discrepancy flags need a fast, fair resolution path, not just an accusation sitting unresolved.
- Some fraud tactics (cookie stuffing, forced clicks, ad injection) specifically manipulate the click count that both the network and internal analytics would independently see the same inflated number for, since the fraud happens upstream of both tracking systems — reconciliation alone won't catch these, and needs to be paired with click-quality signals like unnaturally short time-to-conversion or implausible click volume from one source.
Frequently asked questions
Can this definitively prove affiliate fraud?
It flags meaningful discrepancies and suspicious patterns for investigation, but a definitive fraud determination usually needs a human review of the specific case, since some discrepancies come from legitimate tracking configuration differences, not bad faith.
Does this pay affiliates automatically?
No — it verifies commission calculations against program rules and flags errors before payout, but the actual payment transfer runs through your existing affiliate network or payment tool.
How does this handle returns and refunds?
Return rates are factored into the per-affiliate quality report and can inform commission clawback where your program structure includes that, rather than treating every original sale as final regardless of what happens afterward.
What if an affiliate disputes a flagged discrepancy?
The underlying comparison data — network report versus internal record — is available to review the specific case, giving a factual basis for resolving the dispute rather than relying on either side's unverified claim.