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Attribution and marketing mix modeling · October 2026 Edition

Measured vs Recast

Zero of fourteen models named Measured first on the direct prompt; zero named Recast. Measured was named by thirteen of the fourteen models and Recast by nine and Measured carries 21 labels and Recast 15, so the shares are not directly comparable.

Measured

accepted challenger

Named in two categories this edition.

Recast

accepted challenger

Named in one category this edition.

First-choice share5%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 17; printed, not drawn.
Labels2115A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Measured 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 Measured · Dreamdata vs Recast · Google Analytics 4 vs Measured

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.
MeasuredFirst choices, of fourteen modelsRecast
Direct00
Paraphrase10
Comparative20
Budget-constrained001 against Measured · 1 against Recast
Scale-constrained22
Negative001 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.

Across every category in the October 2026 Edition, Measured and Recast were named in the same answer twenty-five times, of the 59 answers naming Measured and the 47 naming Recast. In those answers Recast took the first choice one time and Measured two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Measured and Recast 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
GPT-6 Luna
Muse Glimmer 30B
Measured Recast first choice named as an alternative argued againstblank: not namedEach cell is one answer, Measured on the left and Recast on the right.

The direct prompt

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

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
Kimi K2Dreamdata alternatives: Factors.ai, Recast, Rockerbox

Neither was named

11 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
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, SegmentStream
Grok 4.1 FastDreamdata alternatives: Factors.ai, HockeyStack, Rockerbox
Mistral SmallDreamdata, MixModeler alternatives: Northbeam
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
Level: the same share of first choices.
Measured0%#16 of 17
Recast0%#13 of 17
The full small business standing →
Mid-marketThe figures above
Measured leads by two points.
Measured5%#6 of 17
Recast3%#7 of 17
The full mid-market standing →
Enterprise
Measured leads by two points.
Measured3%#10 of 17
Recast2%#11 of 17
The full enterprise standing →

What the models said about Measured

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

“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
“If you want a more turn-key, CFO-ready dashboard with heavy, automated calibration out-of-the-box, look at Measured or Rockerbox.” Gemini 3.5 Flash · scale prompt · first choice
“Measured ranks first because it turns MMM from a quarterly report into a weekly operating system.” Muse Glimmer 30B · comparative prompt · first choice
“Measured specializes in marketing mix modeling for mid-market companies” GLM 4.7 FlashX · paraphrase 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

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.