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

Dreamdata vs Measured

Nine of twelve models named Dreamdata first on the direct prompt; zero named Measured. Dreamdata was named by twelve of the twelve models and Measured by eleven and Dreamdata carries 43 labels and Measured 24, so the shares are not directly comparable.

Dreamdata

accepted challenger

Named in four categories this edition.

Measured

accepted challenger

Named in one category this edition.

First-choice share29%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 22; printed, not drawn.
Labels4324A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dreamdata reading right to left. Rank and label count are printed, not drawn.Recast was named alongside these two in seven of the twelve direct answers. Dreamdata vs Google Analytics 4 · Dreamdata vs Recast · Dreamdata vs Triple Whale

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.
DreamdataFirst choices, of twelve modelsMeasured
Direct901 against Measured
Paraphrase1001 against Measured
Comparative11
Budget-constrained10
Scale-constrained03
Negative103 against Dreamdata
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, Dreamdata and Measured were named in the same answer thirty-eight times, of the 128 answers naming Dreamdata and the 70 naming Measured. In those answers Measured took the first choice four times and Dreamdata eight.

Every model, every framing

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

The direct prompt

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

Dreamdata first, Measured an alternative

9 of 12 modelsMeasured was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Dreamdata alternatives: CaliberMind, HubSpot Marketing Hub, Northbeam
GPT-5.4 miniDreamdata alternatives: Adobe Marketo Measure, CaliberMind, MixModeler
Perplexity SonarDreamdata alternatives: Factors.ai, HockeyStack
Grok 4.1 FastDreamdata alternatives: HockeyStack, Recast, RevSure
Mistral SmallDreamdata, Recast alternatives: Cometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics
DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte
Kimi K2Dreamdata alternatives: Factors.ai, HockeyStack, Recast, Rockerbox
GLM 4.7 FlashXDreamdata, SegmentStream alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics
MiniMax M2.5Dreamdata, Recast, SegmentStream alternatives: Analytic Edge, HubSpot Marketing Hub

Neither was the first choice, one was named

2 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
Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Qwen 3.7 FlashRockerbox alternatives: Alviss AI, Recast

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
Dreamdata leads by nineteen points.
Dreamdata19%#1 of 18
Measured0%#17 of 18
The full small business standing →
Mid-marketThe figures above
Dreamdata leads by twenty-five points.
Dreamdata29%#1 of 22
Measured4%#4 of 22
The full mid-market standing →
Enterprise
Dreamdata leads by four points.
Dreamdata12%#2 of 21
Measured9%#4 of 21
The full enterprise standing →

What the models said about Dreamdata

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

“Steep learning curve, rigid/non-customizable dashboards, slow data syncs, clunky reporting.” DeepSeek V4 Flash · negative prompt · soft negative
“Steep learning curve with overwhelming reports; Integration challenges” GLM 4.7 FlashX · negative prompt · soft negative
“Verdict: Too narrow for most enterprise needs” Mistral Small · negative prompt · soft negative
“For B2B SaaS, top choices include Dreamdata (B2B pipeline attribution)... strong fit for pipeline- and revenue-focused B2B measurement.” Claude Haiku 4.5 · direct prompt · first choice
“The recommended attribution and MMM tool for a mid-sized B2B company is Dreamdata, HockeyStack, or Factors.ai” Llama 4 Maverick · paraphrase prompt · first choice
“Dreamdata is the strongest default — it's purpose-built for the multi-person buying committee problem” DeepSeek V4 Flash · paraphrase prompt · first choice

What the models said about Measured

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

“Avoid for B2B mid-market: Enterprise heavies (Adobe Mix Modeler, Measured: custom/$50K+)” Grok 4.1 Fast · direct prompt · hard negative
“strong but more enterprise-oriented and stitched-together; pricing scales higher” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Tier 2 | Modern / SaaS-Enabled UMM & Causal MMM | Recast, Measured, Lifesight, Mutinex, LiftLab, Haus” Gemini 3.5 Flash · scale prompt · first choice
“Measured | Enterprise hybrid; causal MMM + MTA ... Finance-friendly; geo-holdouts.” Grok 4.1 Fast · scale prompt · first choice
“Measured | Incrementality-first, finance-friendly, enterprise integrations” Kimi K2 · scale prompt · first choice
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.