Performance programmes live and die on the difference between what a network reports and what actually settled. Conversions are claimed twice, last-click is hijacked by coupon and toolbar traffic, and payout tables drift out of step with the margin they were set against.
The measurement problem is reconciliation
Getting network-reported conversions, your own recorded orders and the eventual settled payment onto the same page — weekly — is the whole job. A partner earning a commission on revenue you never received should be visible within days, not discovered at year end. Most programmes have never done this once.
What AI does well here
Matching, de-duplication and anomaly detection at volume. A model can compare every claimed conversion against orders and settlements, flag duplicates, spot a partner whose conversion pattern changed overnight, and rank the exceptions by money at risk. It does this every day, without getting bored, and it explains each flag.
What it must not do
Approve a payout. Change a partner's terms. Decide that a pattern is fraud. Those are judgement calls with commercial and legal consequences, and they stay with a named person who sees the model's evidence and signs. An automated payout engine with no reviewer is a leakage engine with a dashboard.
Then, and only then, recruit
Once the tracking is rebuilt, the payout logic is written down and the reconciliation runs weekly, adding partners adds revenue. Before that, adding partners adds leakage. The order of operations is the entire method.
Disclosure belongs in the programme terms from day one — for your affiliates and for you. Ours is published at /affiliate-disclosure.
