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Index Marketing Attribution & MMM › Recast vs Google Meridian
Attribution and marketing mix modeling · September 2026 Edition

Recast vs Google Meridian

Two of twelve models named Recast first on the direct prompt; zero named Google Meridian. Recast was named by ten of the twelve models and Google Meridian by eleven and Recast carries 35 labels and Google Meridian 36, so the shares are not directly comparable.

Recast

accepted challenger

Named in one category this edition.

Google Meridian

criticized challenger

By Google Search, United States, founded 1997. Named in one category this edition.

First-choice share9%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 22; printed, not drawn.
Labels3536A 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 Google Meridian · 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 modelsGoogle Meridian
Direct202 against Google Meridian
Paraphrase101 against Recast
Comparative001 against Google Meridian
Budget-constrained021 against Recast · 1 against Google Meridian
Scale-constrained301 against Google Meridian
Negative101 against Recast · 4 against Google Meridian
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 Google Meridian were named in the same answer fifty-nine times, of the 79 answers naming Recast and the 92 naming Google Meridian. In those answers Google Meridian took the first choice three times and Recast seven.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Recast and Google Meridian 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 Google Meridian first choice named as an alternative argued againstblank: not namedEach cell is one answer, Recast on the left and Google Meridian on the right.

The direct prompt

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

Recast first, Google Meridian not the choice

2 of 12 modelsGoogle Meridian 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

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastDreamdata alternatives: HockeyStack, Recast, RevSure
DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte
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

5 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
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure
Perplexity SonarDreamdata alternatives: Factors.ai, HockeyStack
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
Google Meridian leads by four points.
Google Meridian4%#10 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
Google Meridian3%#7 of 22
The full mid-market standing →
Enterprise
Recast leads by two points.
Recast2%#10 of 21
Google Meridian0%#14 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 Google Meridian

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

“free/open-source (GA4, Google Meridian: lacks B2B depth)” Grok 4.1 Fast · direct prompt · hard negative
“Meridian is statistical infrastructure, not a decision-making product. Requires a dedicated data science team to implement responsibly.” Kimi K2 · negative prompt · soft negative
“Google has tied internal sales KPIs to Meridian adoption \u2014 account teams are incentivized to push it” DeepSeek V4 Flash · negative prompt · soft negative
“Choose Meta Robyn or Google Meridian if you have basic R/Python skills and want high-end, enterprise-grade MMM completely free.” Gemini 3.5 Flash · budget prompt · first choice
“Use PyMC-Marketing or Google Meridian (both free)” DeepSeek V4 Flash · budget prompt · first choice
“open-source (Google Meridian, Meta Robyn — both free)... Meridian is a genuine modern option if you have Python/PyMC expertise” DeepSeek V4 Flash · scale 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.