GTM AI Index
Index Marketing Attribution & MMM › Triple Whale vs Google Meridian
Attribution and marketing mix modeling · September 2026 Edition

Triple Whale vs Google Meridian

Zero of twelve models named Triple Whale first on the direct prompt; zero named Google Meridian. Triple Whale was named by ten of the twelve models and Google Meridian by eleven and Triple Whale carries 29 labels and Google Meridian 36, so the shares are not directly comparable.

Triple Whale

criticized 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 share4%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate28%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 22; printed, not drawn.
Labels2936A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Triple Whale 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 Triple Whale · Dreamdata vs Google Meridian · Google Analytics 4 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.
Triple WhaleFirst choices, of twelve modelsGoogle Meridian
Direct001 against Triple Whale · 2 against Google Meridian
Paraphrase00
Comparative001 against Google Meridian
Budget-constrained321 against Google Meridian
Scale-constrained001 against Triple Whale · 1 against Google Meridian
Negative006 against Triple Whale · 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, Triple Whale and Google Meridian were named in the same answer fifty-four times, of the 79 answers naming Triple Whale and the 92 naming Google Meridian. In those answers Google Meridian took the first choice two times and Triple Whale four.

Every model, every framing

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

The direct prompt

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

Neither was named

12 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
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
Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox
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
MiniMax M2.5Dreamdata, Recast, SegmentStream alternatives: Analytic Edge, HubSpot Marketing Hub

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.
Triple Whale4%#7 of 18
Google Meridian4%#10 of 18
The full small business standing →
Mid-marketThe figures above
Triple Whale leads by one point.
Triple Whale4%#5 of 22
Google Meridian3%#7 of 22
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Triple Whale0%#21 of 21
Google Meridian0%#14 of 21
The full enterprise standing →

What the models said about Triple Whale

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

“❌ Great for smaller e-commerce stores (Shopify-centric) but lack the deep econometrics and offline/macro modeling required” Gemini 3.5 Flash · scale prompt · hard negative
“140+ attribution incidents since February 2024, raising serious questions about data consistency and reliability” Mistral Small · negative prompt · hard negative
“Rockerbox, Triple Whale, Northbeam and similar credit-assigning tools face these common problems” GLM 4.7 FlashX · negative prompt · hard negative
“Choose Triple Whale if you run a Shopify/E-commerce store and want both MTA and MMM managed for you on a budget.” Gemini 3.5 Flash · budget prompt · first choice
“Triple Whale (free plan available) or Attribution App ($19/month)” Mistral Small · budget prompt · first choice
“Under $100/month: Start with free tiers (Triple Whale, Dreamdata)” MiniMax M2.5 · budget 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.