GTM AI Index
Index Marketing Attribution & MMM › Recast vs HockeyStack
Attribution and marketing mix modeling · September 2026 Edition

Recast vs HockeyStack

Two of twelve models named Recast first on the direct prompt; one named HockeyStack. Recast was named by ten of the twelve models and HockeyStack by eleven and Recast carries 35 labels and HockeyStack 29, so the shares are not directly comparable.

Recast

accepted challenger

Named in one category this edition.

HockeyStack

accepted challenger

Named in three categories this edition.

First-choice share9%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 22; printed, not drawn.
Labels3529A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Recast reading right to left. Rank and label count are printed, not drawn.Dreamdata was named alongside these two in eleven of the twelve direct answers. Dreamdata vs Recast · Dreamdata vs HockeyStack · Google Analytics 4 vs Recast

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 attribution and marketing mix modeling page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
RecastFirst choices, of twelve modelsHockeyStack
Direct21
Paraphrase111 against Recast
Comparative00
Budget-constrained001 against Recast
Scale-constrained30
Negative101 against Recast · 3 against HockeyStack
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Recast and HockeyStack were named in the same answer thirty-six times, of the 79 answers naming Recast and the 81 naming HockeyStack. In those answers HockeyStack took the first choice five times and Recast five.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Recast and HockeyStack stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Recast HockeyStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Recast on the left and HockeyStack on the right.

The direct prompt

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

Recast first, HockeyStack an alternative

2 of 12 modelsHockeyStack was named in the answer but not as the choice, or not at all.
Mistral SmallDreamdata, Recast alternatives: Cometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics
MiniMax M2.5Dreamdata, Recast, SegmentStream alternatives: Analytic Edge, HubSpot Marketing Hub

HockeyStack first, Recast an alternative

1 of 12 modelsRecast was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure
Perplexity SonarDreamdata alternatives: Factors.ai, HockeyStack
Grok 4.1 FastDreamdata alternatives: HockeyStack, Recast, RevSure
Qwen 3.7 FlashRockerbox alternatives: Alviss AI, Recast
Kimi K2Dreamdata alternatives: Factors.ai, HockeyStack, Recast, Rockerbox
GLM 4.7 FlashXDreamdata, SegmentStream alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Dreamdata alternatives: CaliberMind, HubSpot Marketing Hub, Northbeam
GPT-5.4 miniDreamdata alternatives: Adobe Marketo Measure, CaliberMind, MixModeler
Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox

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
HockeyStack leads by four points.
HockeyStack4%#9 of 18
Recast0%#14 of 18
The full small business standing →
Mid-marketThe figures above
The order flips: Recast leads at mid-market.
Recast9%#3 of 22
HockeyStack3%#6 of 22
The full mid-market standing →
Enterprise
The order flips: HockeyStack leads at enterprise.
HockeyStack11%#3 of 21
Recast2%#10 of 21
The full enterprise standing →

What the models said about Recast

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

“Far too expensive for limited budgets” DeepSeek V4 Flash · budget prompt · hard negative
“Built for Statisticians, Not Marketers ... Requires a data scientist to translate Bayesian posteriors” Kimi K2 · negative prompt · soft negative
“Recast/Funnel are solid but more digital-heavy/enterprise (~$50K+)” Grok 4.1 Fast · paraphrase prompt · soft negative
“You likely want to focus on Tier 2 (SaaS-Enabled UMM): Recast, Measured, Lifesight, Mutinex, LiftLab, Haus” Gemini 3.5 Flash · scale prompt · first choice
“Recast and Measured being more suitable for mid-market digital teams and enterprises, respectively” Llama 4 Maverick · scale prompt · first choice
“Recast is the standout — transparent Bayesian models, weekly refreshes, and a fast setup” DeepSeek V4 Flash · paraphrase prompt · first choice

What the models said about HockeyStack

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

“Verdict: Avoid for any situation requiring accountability or regulatory compliance” Mistral Small · negative prompt · hard negative
“Multi-Touch Tools (e.g., Triple Whale, Northbeam, Rockerbox, HockeyStack): Frequent "trust issues"” Grok 4.1 Fast · negative prompt · soft negative
“Attribution isn't the core product ... so attribution depth is limited.” DeepSeek V4 Flash · negative prompt · soft negative
“Dreamdata or HockeyStack (attribution) will deliver more practical value faster” DeepSeek V4 Flash · direct prompt · first choice
“is Dreamdata, HockeyStack, or Factors.ai, according to the search results” Llama 4 Maverick · paraphrase prompt · first choice
“Alternatives if needed: HockeyStack (~$25K-$30K/year, stronger on AI/predictive GTM intelligence but pricier” Grok 4.1 Fast · paraphrase 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.