Attribution and marketing mix modeling · October 2026 Edition
Google Analytics 4 vs Recast
Zero of fourteen models named Google Analytics 4 first on the direct prompt; zero named Recast. Google Analytics 4 was named by fourteen of the fourteen models and Recast by nine and Google Analytics 4 carries 28 labels and Recast 15, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in seventeen categories this edition.
Named in one category this edition.
First-choice share17%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 17; printed, not drawn.
Labels2815A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Google Analytics 4 reading right to left. Rank and label count are printed, not drawn.Dreamdata was named alongside these two in fourteen of the fourteen direct answers. Dreamdata vs Google Analytics 4 · Dreamdata vs Recast · Google Analytics 4 vs Rockerbox
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 attribution and marketing mix modeling page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Google Analytics 4First choices, of fourteen modelsRecast
Direct001 against Google Analytics 4
Paraphrase00
Comparative20
Budget-constrained1101 against Recast
Scale-constrained02
Negative006 against Google Analytics 4 · 1 against Recast
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Google Analytics 4 and Recast stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | |
Google Analytics 4 Recast first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Analytics 4 on the left and Recast on the right.The direct prompt
The plain question, one answer per model, grouped by where Google Analytics 4 and Recast 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.Kimi K2Dreamdata alternatives: Factors.ai, Recast, Rockerbox
Neither was named
13 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Dreamdata, HockeyStack alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream
GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, SegmentStream
Grok 4.20Dreamdata alternatives: Factors.ai, HockeyStack, Rockerbox
Mistral SmallDreamdata, MixModeler alternatives: Northbeam
DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
Llama 4 MaverickRockerbox alternatives: Attribution, Dreamdata, Northbeam
Qwen 3.7 FlashRockerbox alternatives: Dreamdata
GLM 4.7 FlashXDreamdata alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics
MiniMax M2.5HockeyStack, Marketing Evolution alternatives: Adobe Marketo Measure, Dreamdata
GPT-6 LunaHockeyStack alternatives: Dreamdata, Paramark
Muse Glimmer 30BDreamdata alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, 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 Analytics 4 leads by eighteen points.
Google Analytics 418%#2 of 17Recast0%#13 of 17Mid-marketThe figures above
Google Analytics 4 leads by fourteen points.
Google Analytics 417%#2 of 17Recast3%#7 of 17Enterprise
The order flips: Recast leads at enterprise.
Recast2%#11 of 17Google Analytics 40%#– of 17What the models said about Google Analytics 4
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Free leader for basic-to-advanced data-driven attribution; integrates seamlessly with Google Ads. Great for SMBs, but privacy-limited post-cookies.” Grok 4.20 · comparative prompt · first choice
“Google Analytics 4 (GA4) is completely free and provides a solid foundation without any financial commitment for teams with limited budgets” Claude Haiku 4.5 · budget prompt · first choice
What the models said about Recast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Enterprise-grade, managed MMM and multi-touch attribution (MTA) platforms (like Recast, Measured, or Rockerbox) routinely cost upwards of $50,000 to $150,000+ per year.” Gemini 3.5 Flash · budget prompt · soft negative
“Recast has limitations if you need custom transformations—like modeling promo mechanics with different lag structures per SKU.” Claude Haiku 4.5 · negative prompt · soft negative
“Recast | Self-serve Bayesian MMM, fast refresh, no data science team needed | Companies wanting modern MMM without heavy lift” Kimi K2 · scale prompt · first choice
“If you have 1-2 analysts with intermediate statistics experience, look closely at Recast or Haus.” Gemini 3.5 Flash · scale prompt · first choice
“Add MMM with: Recast ... offers the best balance of modern methodology and mid-market accessibility” Kimi K2 · paraphrase prompt · alternative
Also compared
Dreamdata vs Google Analytics 4Dreamdata vs RecastGoogle Analytics 4 vs RockerboxGoogle Analytics 4 vs Google MeridianGoogle Analytics 4 vs HockeyStackGoogle Analytics 4 vs MeasuredGoogle Analytics 4 vs CometlyRockerbox vs RecastGoogle Meridian vs RecastHockeyStack vs RecastMeasured vs RecastRecast vs CometlyAll twenty-eight head-to-head pages and the full Attribution & MMM standing
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.