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Affiliate and partner management · November 2026 Edition

Rewardful vs Refersion

Zero of fourteen models named Rewardful first on the direct prompt; zero named Refersion. Rewardful was named by ten of the fourteen models and Refersion by eleven and Rewardful carries 19 labels and Refersion 17, so the shares are not directly comparable.

Rewardful

accepted challenger

Named in four categories this edition.

Refersion

accepted challenger

Named in four categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 16; printed, not drawn.
Labels1917A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Rewardful reading right to left. Rank and label count are printed, not drawn.PartnerStack was named alongside these two in fourteen of the fourteen direct answers. PartnerStack vs Rewardful · PartnerStack vs Refersion · impact.com vs Rewardful

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the affiliate and partner management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
RewardfulFirst choices, of fourteen modelsRefersion
Direct00
Paraphrase00
Comparative11
Budget-constrained21
Scale-constrained00
Negative001 against Rewardful
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Rewardful and Refersion were named in the same answer thirty-two times, of the 114 answers naming Rewardful and the 66 naming Refersion. In those answers Refersion took the first choice eight times and Rewardful three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Rewardful and Refersion stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Rewardful Refersion first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rewardful on the left and Refersion on the right.

The direct prompt

The plain question, one answer per model, grouped by where Rewardful and Refersion stood in it.

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.20PartnerStack alternatives: Awin, CJ Affiliate, Rewardful, impact.com

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5PartnerStack alternatives: Reditus, Tapfiliate, impact.com
GPT-5.4 miniPartnerStack alternatives: Trackdesk, impact.com
Gemini 3.5 FlashPartnerStack alternatives: Channeltivity, Everflow, Introw, impact.com
Perplexity SonarPartnerStack alternatives: Everflow, Reditus
Mistral SmallPartnerStack
DeepSeek V4 FlashPartnerStack alternatives: Everflow, Scaleo, impact.com
Llama 4 MaverickPartnerStack alternatives: Awin, impact.com
Qwen 3.7 FlashPartnerStack, impact.com alternatives: Post Affiliate Pro
Kimi K2PartnerStack alternatives: Reditus, Trackdesk, impact.com
GLM 4.7 FlashXPartnerStack, impact.com alternatives: Ambassador
MiniMax M2.5PartnerStack alternatives: impact.com
GPT-6 LunaPartnerStack alternatives: Everflow, impact.com
Muse Glimmer 30BPartnerStack alternatives: Ambassador, Reditus, Trackdesk, impact.com

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Rewardful leads by thirteen points.
Rewardful16%#1 of 13
Refersion3%#7 of 13
The full small business standing →
Mid-marketThe figures above
Rewardful leads by two points.
Rewardful4%#4 of 16
Refersion2%#6 of 16
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Rewardful0%#– of 10
Refersion0%#– of 10
The full enterprise standing →

What the models said about Rewardful

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“Rewardful and Tapfiliate are affiliate management platforms that fall short for serious affiliate programs, as they have dated interfaces” Claude Haiku 4.5 · negative prompt · hard negative
“start with software like Rewardful (SaaS) or Refersion (e-commerce) if under $10M revenue” Grok 4.20 · comparative prompt · first choice
“Rewardful/FirstPromoter/Trackdesk for broader use” Grok 4.20 · budget prompt · first choice
“I'd recommend UpPromote or Rewardful” Kimi K2 · budget prompt · first choice

What the models said about Refersion

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“The Best Overall for Startups: Refersion ... widely considered the most affordable and scalable option” Qwen 3.7 Flash · budget prompt · first choice
“start with software like Rewardful (SaaS) or Refersion (e-commerce) if under $10M revenue” Grok 4.20 · comparative prompt · first choice
“Consider a white-label tool like Refersion or Tapfiliate to avoid sharing revenue with a network” DeepSeek V4 Flash · comparative prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.