Affiliate & Partnership Marketing Agency — Incrementality-First Programs
Stop paying for sales you already had.
Affiliate is the only channel where a partner can take credit for a sale at the checkout line. We run it as a partner portfolio measured on incrementality — commissioned by partner type and new-customer value, policed for fraud, and proven with holdouts, not last-click.
The dashboard is lying to you.
Flip the view. Coupon, cashback, and brand-bidding partners fire at the checkout and claim sales you’d have won for free. Strip out what wasn’t incremental and the heroic ROAS shrinks to the truth.
The mechanism is simple once you name it. A coupon site, a cashback button, or a brand-bidding partner fires its tracking the moment a shopper is already at the checkout or already searching your name, then claims a commission on a sale you had effectively won. The eBay experiment is the cautionary tale: when eBay switched off branded paid search, 99.5% of that traffic still arrived (Blake, Nosko & Tadelis, Econometrica, 2015) — the spend was buying sales it would have gotten for free.
When eBay halted branded paid search, 99.5% of the traffic still arrived (Blake, Nosko & Tadelis, Econometrica 2015); a retailer geo-holdout cut affiliate’s true credit from ~18% to ~9% of revenue (IREV, 2025). Figures illustrative.1
Incrementality lives in the partner.
Affiliate isn’t a channel — it’s a portfolio of very different businesses. Tap a partner type to see whether it creates demand or just skims credit, what it costs, and how to use it.
Treat each partner type as its own business with its own incrementality verdict. Content, creator, and email partners introduce your brand to people who weren’t looking for it, so they create net-new demand; coupon, cashback-extension, loyalty, and brand-bidding partners mostly intercept intent you already generated (impact.com, Partnerize, PMA, 2024–25). A program that looks healthy in aggregate is usually a few genuine demand-creators subsidizing a long tail of skimmers — which only a partner-by-partner read reveals.
Content, creator, and email partners create net-new demand; coupon, cashback-extension, loyalty, and brand-bidding partners largely capture existing intent at checkout (impact.com, Partnerize, PMA, 2024–25). Verdicts are RGM analysis.2
Your true ROAS, after cannibalization.
Set your reported numbers and your partner mix. The more budget sitting with coupon, cashback, and brand-bidding partners, the more of your “affiliate revenue” would have happened anyway. Watch the honest number appear.
The calculator makes the cannibalization explicit. Model a non-incremental share around 70% for skimming partners and roughly 25% for demand creators, blend by your actual mix, and the reported ROAS collapses toward the truth — a retailer geo-holdout cut affiliate’s credited revenue from about 18% to roughly 9% incremental (IREV, 2025). Calibrate with your own holdout before you trust it, but even the rough version usually surfaces six figures of commission paid for sales that would have happened anyway.
Non-incremental share modeled at ~70% for skimming partners and ~25% for demand-creating partners; blend it with your mix (anchors: eBay 99.5%, geo-holdout ~50%). Illustrative — we run the real holdout on your data.3
One flat rate is leaving money on the table.
Drag the new-customer mix. Paying every partner the same percentage rewards the ones intercepting your existing buyers. Pay more for new customers and less for repeat checkout-skimmers, and the same budget buys real growth.
Flat-rate commissioning is the root of the waste: paying every partner the same percentage hands your best margins to the partners doing the least incremental work. Commission by partner type and add new-customer bonuses — established remedies that pay demand-creators for growth and starve checkout-skimmers — and the same budget buys materially more new revenue. It matters more as baskets grow: affiliate AOV reached about $123, up 4% year on year, even as transactions fell roughly 5% (impact.com, 2025).
Commission-by-partner-type and new-customer bonuses are established remedies; affiliate AOV rose to ~$123 (+4% YoY) even as transactions fell ~5% (impact.com, 2025). Model illustrative — RGM analysis.4
Network, platform, or in-house?
Where you run the program shapes its cost and control. Pick the model to see what it’s for, what it costs, and which players fit — the right answer usually changes as the program matures.
Networks charge an override on every payout and bring a ready marketplace; SaaS platforms charge a fixed fee that shrinks as you scale and give you direct partner relationships; an in-house or OPM-run program trades setup effort for the most control and the lowest variable cost. impact.com runs $100B+ in partner-referred GMV and PartnerStack $2.7B in B2B GMV (company reports, 2024–25) — the right answer usually shifts from network toward platform as the program matures.
Networks charge an override on payouts (costlier at scale); SaaS partnership platforms charge a fixed fee (cheaper as you grow); impact.com runs $100B+ in partner-referred GMV, PartnerStack $2.7B in B2B GMV (company reports, 2024–25).5
Run it like a program.
Affiliate isn’t set-and-forget on a network’s autopilot — it’s a recruit, structure, police, and prove loop. Each step has its own job. Tap through it.
Run it as a recruit-structure-police-prove loop. Recruit the demand-creators your category actually needs, structure commissions to reward incrementality, police the checkout for fraud and brand-bidding, and prove each partner against a holdout before you scale the spend. The programs that compound are the ones that keep retiring skimmers and reinvesting in the partners that demonstrably create demand.
RGM partner-program method — recruit the right partner mix, commission by type and customer status, police fraud, prove incrementality. RGM analysis.6
Fraud hides at the checkout.
Toggle the policing. Cookie-stuffing extensions, brand-bidding, and bot traffic quietly siphon commission — the Honey scandal showed even mainstream tools hijack credit. Unpoliced, a real slice of every payout is waste.
Fraud in affiliate hides where the money changes hands. Cookie-stuffing browser extensions, unauthorized brand-bidding, and bot traffic claim commission on sales they never influenced; estimates put affiliate invalid traffic around 17% (CHEQ, 2022) and higher by some vendors. The Honey episode made it mainstream — Rakuten removed the PayPal-owned extension and Google banned no-discount affiliate extensions (2025–26) — proof that even household-name tools can hijack last-click credit unless you police for it.
Affiliate fraud / invalid traffic is estimated from ~17% (CHEQ, 2022) to far higher by some vendors; Rakuten removed PayPal-owned Honey and Google banned no-discount affiliate extensions (2025–26). Grid illustrative.7
Stack the evidence.
Only about a fifth of marketers still trust last-click. Click each way you can prove a partner actually caused a sale — the more causal the method, the more you can trust the call to pay or cut.
Rank your proof by how causal it is. A promo code shows directional involvement; server-side postback ties a specific partner to a specific order; and a holdout — suppressing a partner or segment and watching what still converts — isolates the incremental sales. With only 21.5% of marketers still trusting last-click and 74.5% moving away (eMarketer × Snap, 2024), paying and scaling on causal evidence rather than the last pixel fired is now the mainstream direction, not a contrarian one.
Only 21.5% of marketers believe last-click reflects true impact and 74.5% are moving away from it (eMarketer × Snap, 2024); server-side postback is the affiliate attribution standard. Layer new-vs-returning, holdouts, and MMM.8
Five ways brands waste affiliate budget.
Most wasted affiliate spend fails the same handful of ways. Open each one.
Synthesis of the eBay experiment, geo-holdout, impact.com, PMA, and the Honey/Chrome developments cited throughout — RGM analysis.9
A partner portfolio, proven.
No coupon dependence, no last-click vanity, no autopilot. A senior team recruits demand-creating partners, commissions by type and new-customer value, polices fraud, and proves incrementality with holdouts. Pricing is custom: flat, project, or performance, by fit.
We run affiliate as a measured profit program, not a coupon line on a media plan. That means a defensible read on incrementality before we scale a partner, commissions structured to pay for new customers rather than intercepted ones, and a portfolio we actively prune — retiring skimmers, reinvesting in proven demand-creators. The result is a partner channel you can hold to a true, post-cannibalization ROAS, not a dashboard number that flatters itself.
Recruit the mix
Hunt demand-creating content, creator, and email partners — not just whoever’s already in the network.
Commission & police
Rates by partner type and new-customer value; brand-bidding and cookie-stuffing shut down.
Prove & scale
Holdouts, new-vs-returning, and server-side tracking — then re-invest in the partners driving real lift.
RGM engagement model — senior-led, incrementality-first, fraud-policed, custom pricing. RGM analysis.10
Questions buyers ask.
What is affiliate and partnership marketing?
How is affiliate marketing priced?
What is the affiliate cannibalization problem?
How do you measure affiliate incrementality?
Should we use an affiliate network or a SaaS platform?
How do you prevent affiliate fraud?
Pay for growth, not the checkout click. Ever.
We take a handful of brands that want an affiliate program built on incremental sales, not a dashboard that flatters itself.
Apply for an engagementThe market moved again. Here’s the read.
- Cannibalization: when eBay halted branded paid search, 99.5% of the traffic still arrived (Blake, Nosko & Tadelis, Econometrica, 2015 — paid search, the discipline affiliate inherited); a retailer geo-holdout cut affiliate’s credited revenue from ~18% to ~9% incremental (IREV, 2025). ROAS figures illustrative — RGM analysis.
- Partner types: content, creator, and email partners create net-new demand; coupon, cashback-extension, loyalty, and brand-bidding largely capture existing intent (impact.com, Partnerize, PMA, 2024–25). Incrementality verdicts are RGM analysis.
- True-ROAS model: non-incremental share modeled ~70% for skimming partners, ~25% for demand creators, blended by your mix (anchors: eBay 99.5%, geo-holdout ~50%). Illustrative — calibrate with your own holdout. RGM analysis.
- Commissioning: commission-by-partner-type and new-customer bonuses are established remedies; affiliate AOV ~$123 (+4% YoY) as transactions fell ~5% (impact.com, 2025). Model illustrative — RGM analysis.
- Structure: networks charge an override on payouts; SaaS platforms charge a fixed fee that shrinks with scale; impact.com runs $100B+ partner-referred GMV, PartnerStack $2.7B B2B GMV / $1B+ partner-sourced revenue (company reports, 2024–25).
- RGM partner-program method — RGM analysis.
- Fraud: affiliate fraud / invalid traffic estimated ~17% (CHEQ, 2022) to far higher by some vendors; Rakuten removed PayPal-owned Honey and Google banned no-discount affiliate extensions (2025–26). Grid illustrative.
- Attribution: only 21.5% of marketers believe last-click reflects true impact; 74.5% are moving away (eMarketer × Snap, 2024); server-side postback is the affiliate attribution standard.
- Market: US affiliate spend $13.62B in 2024 (+49.8% since 2021), driving $113B = 9.4% of US e-commerce (PMA, 2025); reaching ~$13.81B in 2026 (eMarketer, 2025); affiliate-sourced buyers spend ~21% more per order (Forrester for Awin, 2024).
- RGM engagement model — senior-led, incrementality-first, fraud-policed, custom pricing. Directional — calibrate with your own tests. RGM analysis.
- eMarketer. “FAQ on affiliate marketing: How AI and creators are reshaping the channel in 2026” (28 Apr 2026). US affiliate spend $13.81B in 2026 (+11.3% vs $12.42B in 2025) against 6.7% US retail ecommerce growth; creators’ share of Awin network revenue rose from 15.9% to 19.5% YoY; discount and coupon publishers took 42.4% of US affiliate revenue in H1 2025 (up from 39.7%); Wirecutter’s Google visibility fell over 60% May–Aug 2025 (GSQi analysis). emarketer.com (accessed 6 Jul 2026).