Guide
Tracking & ROI
Brands
When two different creators' tracking links both have a valid, recorded click from the same customer before a purchase, it isn't automatically whoever clicked first or last who wins the commission — your network's or platform's own attribution hierarchy decides. Most networks, including Awin, default to last-click: the most recent valid click overwrites the previous one and gets the credit. impact.com adds another layer on top: the creator's agreed partner tier (credit group) decides first, and only at an equal tier does the click itself win.
Two different creators are promoting the same brand. A customer clicks Creator A's link on Monday, doesn't buy right away, and later clicks Creator B's link — maybe because both are part of the same campaign, or because the customer simply runs into both organically. When the customer finally completes the purchase, both links have technically "touched" the sale. Only one of the two creators can end up with the commission for that same order. That's a different situation from attribution stacking between a tracking link and a discount code, where the conflict is between two different tracking mechanisms. Here both signals are the same type — two valid links, two different creators.
As described in how influencer tracking actually works, clicking a tracking link sets a cookie in the customer's browser carrying a click ID and a creator ID. Ordinary browser cookie mechanics mean a new cookie with the same name from the same domain generally overwrites the previous one. If a customer clicks Creator A's link first and Creator B's link afterward, it's typically Creator B's cookie sitting in the browser by the time the purchase happens — unless the platform layers extra logic on top of plain cookie mechanics, which is exactly what both Awin and impact.com do. The more creators running against the same audience at once — typically in launches with many parallel creators, see how to coordinate 10 or more creators in one campaign — the higher the odds that two links genuinely touch the same customer.
Awin and impact.com both publish their own conflict-resolution logic for exactly this situation, and it isn't the same.
| Property | Awin | impact.com |
|---|---|---|
| Default model | Last-click: the most recent valid click ("standard click") wins | Credit group (partner tier) decides first — Preferred beats Standard, which beats Non-Preferred |
| Hierarchy between click types | Standard/incentive clicks beat soft clicks, which beat post-view cookies | Not click-type based — tier based; within the same tier, last click decides |
| Can you configure it yourself? | No — the hierarchy is fixed to the click type itself, not something you set | Partly — you set each partner's tier (credit group) yourself inside your own program |
| Is there an alternative policy? | Not as a configurable option for this situation | Yes — a configurable "First Click" policy exists on certain editions: the FIRST click in the path gets 100% of the credit, within a chosen "lookback window." impact.com itself advises against the model for most setups |
| Source | Awin's own documentation on cookie types and attribution hierarchy | impact.com's own documentation on credit groups and credit policies |
The point is the same as in the attribution-stacking article: there's no single global rule for who wins when two valid signals touch the same sale. Run a different network or app and expect yet another rule — check that platform's own documentation, don't guess.
The numbers below are hypothetical and for illustration only. This is not a real Make Influence customer case, and none of the figures are benchmarks.
Creator A's link is clicked Monday at 10:00. The customer doesn't buy right away. On Thursday at 15:00, the same customer clicks Creator B's link, and on Friday completes a DKK 1,200 purchase with an agreed 12% commission = DKK 144.
| Model | Who gets credited the DKK 144? | Why |
|---|---|---|
| Awin (standard last-click) | Creator B | The most recent valid click (Thursday) overwrites Monday's click and wins by default |
| impact.com, A and B both "Preferred" | Creator B | At an equal partner tier, last click within the tier decides |
| impact.com, A is "Preferred", B is "Standard" | Creator A | The higher partner tier wins, even though B's click came last |
| impact.com, First Click policy configured | Creator A | Under this alternative policy, the first click in the path (Monday) gets 100% of the credit |
Same two clicks, same order — four different, each individually "correct" outcomes, depending entirely on which platform and which setting you're subject to. Without knowing your own network's configuration in advance, you can't predict who gets credited next time this happens.
Few brands discover a click conflict between two creators by chance — it typically hides inside a reporting number that looks a little too low for one particular creator. impact.com offers its own "Crediting Concerns Report," which shows the interactions between two partners in the same customer journey: how often and when customers touched both, and whether one systematically wins over the other. The platform itself recommends using the report carefully, because changing the hierarchy can affect the whole program's attribution, not just the two creators involved. If you run a network without an equivalent tool, the next-best option is manually cross-checking two creators' own click and sales numbers whenever you suspect overlap — typically when both are promoting the same campaign or the same discount in the same period.
Make Influence's own tracking, as described in how influencer tracking actually works, uses a 30-day cookie plus a 3-month IP fallback — not an open-network model with configurable partner tiers or credit groups. Under ordinary cookie mechanics, a new cookie from the same domain generally overwrites the previous one, which in practice resembles Awin's basic principle: the most recent click is typically what's left in the browser at the moment of purchase. Make Influence hasn't published a standalone, documented rule for this exact scenario beyond the general cookie mechanics described here — if this matters for a specific campaign, ask for it in writing before running several creators in parallel against the same audience. The recommendation here is the same one that already applies to attribution stacking: write the priority rule into the agreement before the conflict happens, not after.
There's no universal answer. Most networks default to last-click — the most recent valid click wins — but check your own network's documented hierarchy, as the Awin-vs-impact.com comparison above shows how differently it can be resolved.
No, but they're related. Attribution stacking is about a link and a discount code both touching the same sale. This article is about two links — the same type of signal, two different creators.
Rarely freely. On Awin, the hierarchy is locked to the click type. On impact.com you can partly control it through credit groups, and on certain editions an alternative First Click policy exists — but the platform itself advises against it for most setups.
Use the network's own reporting tool if it has one — e.g. impact.com's Crediting Concerns Report — or manually cross-check two creators' own click and sales numbers whenever you suspect overlap in the same period.
The underlying principle — that only one can get the credit, and the network decides who — still applies, but the actual mechanics differ. See discount codes vs tracking links for the difference between the two tracking methods.
No. A click conflict is two genuine, valid clicks that both touch the same sale — neither one is fake. See click fraud and cookie stuffing for how to tell a real conflict apart from a fake click.
No — a brand's own loyalty or referral program tracks through the customer's own account, not a click, so it doesn't compete with an influencer's tracking link for attribution at all. See loyalty or referral programs and influencer commission on the same sale for the few places the two systems actually can collide.
It can, but the underlying rule differs by cookie type rather than by network default. See cashback and deal sites can overwrite an influencer's tracking cookie for why Awin treats some cashback partners as a "hard" click that competes on equal footing, and others as a "soft" click that automatically loses to an influencer.
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