Attribution and marketing mix modeling
Asked as “marketing attribution and marketing mix modeling platform”, and as “attribution and MMM tool”, on behalf of a mid-market B2B company. 60 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.
Standing · first-choice share
32%
Contested · Google Analytics 4 12%
32Dreamdata12Google Analytics 412Rockerbox45others
32% of first choices, contested.
Since October 2026▲+5Since October 2026: 27% → 32%, +5 points. Inside the 11-point floor: within noise.Dreamdata held the lead, +5 points on 27%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Dreamdata26%Contested=heldSince October 2026: 26% → 26%, ±0 points. Inside the 11-point floor: within noise.Standing →Mid-marketDreamdata32%Contested▲+5Since October 2026: 27% → 32%, +5 points. Inside the 11-point floor: within noise.This pageEnterprise
Adobe Marketo Measure22%Contested↗new leaderNew leader since October 2026: Adobe Marketo Measure (22%) replaces Rockerbox (15% then, 17% now), 5 points clear, inside the 11-point floor.Standing →
Dreamdata26%Contested=heldSince October 2026: 26% → 26%, ±0 points. Inside the 11-point floor: within noise.Standing →Mid-marketDreamdata32%Contested▲+5Since October 2026: 27% → 32%, +5 points. Inside the 11-point floor: within noise.This pageEnterpriseAdobe Marketo Measure22%Contested↗new leaderNew leader since October 2026: Adobe Marketo Measure (22%) replaces Rockerbox (15% then, 17% now), 5 points clear, inside the 11-point floor.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Dreamdata32%0%39endorsed leader▲+5Since October 2026: 27% → 32%, +5 points. Inside the 11-point floor: within noise.27% → 32%
Dreamdata32%0%39endorsed leader▲+5Since October 2026: 27% → 32%, +5 points. Inside the 11-point floor: within noise.27% → 32%02
Rockerbox12%4%28accepted challenger▲+1Since October 2026: 11% → 12%, +1 point. Inside the 11-point floor: within noise.11% → 12%
Rockerbox12%4%28accepted challenger▲+1Since October 2026: 11% → 12%, +1 point. Inside the 11-point floor: within noise.11% → 12%03
Google Analytics 4 Lab in the set12%30%27criticized challenger▼−5Since October 2026: 17% → 12%, −5 points. Inside the 11-point floor: within noise.17% → 12%
Google Analytics 4 Lab in the set12%30%27criticized challenger▼−5Since October 2026: 17% → 12%, −5 points. Inside the 11-point floor: within noise.17% → 12%04
Google Meridian Lab in the set8%19%36accepted challenger▲+3Since October 2026: 5% → 8%, +3 points. Inside the 11-point floor: within noise.5% → 8%
Google Meridian Lab in the set8%19%36accepted challenger▲+3Since October 2026: 5% → 8%, +3 points. Inside the 11-point floor: within noise.5% → 8%05
Recast7%17%29accepted challenger▲+4Since October 2026: 3% → 7%, +4 points. Inside the 11-point floor: within noise.3% → 7%
Recast7%17%29accepted challenger▲+4Since October 2026: 3% → 7%, +4 points. Inside the 11-point floor: within noise.3% → 7%06
Northbeam5%23%31accepted challenger▲+5Since October 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise.0% → 5%
Northbeam5%23%31accepted challenger▲+5Since October 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise.0% → 5%07
Meta Robyn3%23%30accepted challenger▲+3Since October 2026: 0% → 3%, +3 points. Inside the 11-point floor: within noise.0% → 3%
Meta Robyn3%23%30accepted challenger▲+3Since October 2026: 0% → 3%, +3 points. Inside the 11-point floor: within noise.0% → 3%08
HockeyStack2%0%30accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%
HockeyStack2%0%30accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%09
Attribution App2%0%13accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Attribution App2%0%13accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%10
Ruler Analytics2%0%13accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%
Ruler Analytics2%0%13accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%11
Measured2%25%28criticized challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%
Measured2%25%28criticized challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%12Adobe Marketo Measure2%30%27criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Adobe Marketo Measure2%30%27criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%Show the ten products at 0%, ordered by negative rate
22
Nielsen Marketing Mix Modeling0%75%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Nielsen Marketing Mix Modeling0%75%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%21
Adobe Analytics0%50%14criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Adobe Analytics0%50%14criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%20
Adobe Mix Modeler0%40%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Adobe Mix Modeler0%40%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%19
Triple Whale0%32%28criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Triple Whale0%32%28criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%17
Analytic Partners0%27%26criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Analytic Partners0%27%26criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%18
AppsFlyer0%15%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
AppsFlyer0%15%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%16
Ipsos MMA0%9%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Ipsos MMA0%9%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%13
HubSpot Marketing Hub0%6%17accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
HubSpot Marketing Hub0%6%17accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%14
Factors.ai0%0%13accepted challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 11-point floor: within noise.3% → 0%
Factors.ai0%0%13accepted challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 11-point floor: within noise.3% → 0%15
Sellforte0%0%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Sellforte0%0%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google Analytics 4 is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models seven times of 52. Google Meridian is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice one time of 4; the other thirteen models four times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
All twenty-eight head-to-head pages: the top eight products, each against each
Dreamdata vs RecastDreamdata vs NorthbeamDreamdata vs Meta RobynDreamdata vs HockeyStackRockerbox vs Google Analytics 4Rockerbox vs Google MeridianRockerbox vs RecastRockerbox vs NorthbeamRockerbox vs Meta RobynRockerbox vs HockeyStackGoogle Analytics 4 vs Google MeridianGoogle Analytics 4 vs RecastGoogle Analytics 4 vs NorthbeamGoogle Analytics 4 vs Meta RobynGoogle Analytics 4 vs HockeyStackGoogle Meridian vs RecastGoogle Meridian vs NorthbeamGoogle Meridian vs Meta RobynGoogle Meridian vs HockeyStackRecast vs NorthbeamRecast vs Meta RobynRecast vs HockeyStackNorthbeam vs Meta RobynNorthbeam vs HockeyStackMeta Robyn vs HockeyStack
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01020304050607080910111213141516171819202122Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Dreamdata32%
Dreamdata32%02Rockerbox12%
Rockerbox12%03Google Analytics 412%
Google Analytics 412%04Google Meridian8%
Google Meridian8%05Recast7%
Recast7%06Northbeam5%
Northbeam5%07Meta Robyn3%
Meta Robyn3%08HockeyStack2%
HockeyStack2%09Attribution App2%
Attribution App2%10Ruler Analytics2%
Ruler Analytics2%11Measured2%
Measured2%12Adobe Marketo Measure2%
Adobe Marketo Measure2%13HubSpot Marketing Hub0%
HubSpot Marketing Hub0%14Factors.ai0%
Factors.ai0%15Sellforte0%
Sellforte0%16Ipsos MMA0%
Ipsos MMA0%17Analytic Partners0%
Analytic Partners0%18AppsFlyer0%
AppsFlyer0%19Triple Whale0%
Triple Whale0%20Adobe Mix Modeler0%
Adobe Mix Modeler0%21Adobe Analytics0%
Adobe Analytics0%22Nielsen Marketing Mix Modeling0%
Nielsen Marketing Mix Modeling0%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, 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 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Google Analytics 430%
8 of 27 labels negative · 7 of 14 models · 2 hard negative
“You should avoid the classic "first-click" and "last-click" models that many legacy web analytics tools (like old-school Google Analytics, or simpler CRM tools) default to.” DeepSeek V4 Flash, negative prompt
Google Meridian19%
7 of 36 labels negative · 7 of 14 models · 2 hard negative
“Google Meridian (MMM): No managed platform experience, no optimization features, and no customer support” Claude Haiku 4.5, negative prompt
Northbeam23%
7 of 31 labels negative · 7 of 14 models · 2 hard negative
“Criticized for 33% negative sentiment, especially regarding model transparency and accuracy in multi-touch attribution.” Mistral Small, negative prompt
Meta Robyn23%
7 of 30 labels negative · 7 of 14 models · 1 hard negative
“require significant in-house data science expertise — not practical for most mid-sized teams” DeepSeek V4 Flash, paraphrase prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
74 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1000 links across 262 sites, every framing counted. Ranked by the number of answers carrying the site or page. 72 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
33 answers · 41 citations · 9 models
vendor site · Usermaven26 answers · 33 citations · 10 models
vendor site · Improvado23 answers · 28 citations · 11 models
23 answers · 23 citations · 10 models
vendor site · Admetrics22 answers · 23 citations · 11 models
vendor site · Measured17 answers · 28 citations · 10 models
vendor site · SegmentStream17 answers · 24 citations · 9 models
vendor site · Vexpower17 answers · 17 citations · 9 models
vendor site · Cometly16 answers · 31 citations · 8 models
vendor site · Sellforte16 answers · 17 citations · 9 models
vendor site · Mammoth14 answers · 14 citations · 8 models
13 answers · 22 citations · 8 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
23 answers · 10 models
18 answers · 10 models
17 answers · 9 models
15 answers · 9 models
14 answers · 8 models
11 answers · 7 models
10 answers · 7 models
10 answers · 5 models
9 answers · 6 models
9 answers · 5 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best marketing attribution and marketing mix modeling platform”, “marketing attribution and marketing mix modeling platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Dreamdata dreamdata.io | 32% | 151 | 1,000 | 6 | 4,088 | 20 | ||
| Rockerbox rockerbox.com | 12% | 82 | 1,600 | 13 | 2,095 | 8 | ||
| Google analytics.google.com Google Analytics 4 12% | 12% | 473 | 9,900 | 348 | ||||
| Google parent site Google Meridian 8% | 8% | 104 | 720 | 46 | ||||
| Recast getrecast.com | 7% | 75 | 5,400 | 16,436 | 3,125 | 0 | ||
| Northbeam northbeam.io | 5% | 88 | 2,900 | 41 | 4,704 | $15 | 38 | |
| Meta parent site Meta Robyn 3% | 3% | 82 | 90 | 1 | ||||
| HockeyStack hockeystack.com | 2% | 96 | 3,600 | 46 | 3,061 | 15 | ||
| Attribution App attributionapp.com | 2% | 28 | 8 | |||||
| Ruler Analytics ruleranalytics.com | 2% | 59 | 140 | 0 | 3,552 | 1 | 6 |
Google's top ten for the two searches hold 15 sites; 2 of them are among the sites the models cited here (cometly.com, improvado.io). The first result for “best marketing attribution and marketing mix modeling platform” is cometly.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best marketing attribution and marketing mix modeling platform for a mid-market B2B company?”Paraphrase“Which attribution and MMM tool would you recommend to a mid-sized B2B company?”Comparative“What are the top marketing attribution and marketing mix modeling platforms and how do they differ?”Budget-constrained“What is the best marketing attribution and marketing mix modeling platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a marketing attribution and marketing mix modeling platform. What should we look at?”Negative“Which marketing attribution and marketing mix modeling platforms should I avoid or be cautious about?”
Claude Haiku 4.5Dreamdata, RecastDreamdataChangedno first choiceGoogle Analytics 4no first choiceagainst: Google, Google Meridian, Meta, Recast
Six alternatives
Adobe Marketo Measure, CaliberMind, Factors.ai, HockeyStack, HubSpot Marketing Hub, ImprovadoFour alternatives
CaliberMind, HockeyStack, HubSpot Marketing Hub, RockerboxFour alternatives
Attributer, Cassandra, Meta Robyn, Triple WhaleGPT-5.4 miniDreamdata, Keen Decision SystemsDreamdataChangedagainst: HubSpot Marketing Hubno first choicePyMC-Marketingagainst: Simbano first choicenothing named
Three alternatives
Analytic Partners, HockeyStack, LifesightTwo alternatives
HockeyStack, Ruler AnalyticsTwo alternatives
Google Meridian, Meta RobynGemini 3.5 FlashDreamdataDreamdataHeldagainst: Measured, RecastMeasuredGoogle Meridian, Meta Robynagainst: Adobe Marketo Measure, Measured, Northbeam, Recastno first choiceagainst: Meta
Four alternatives
HockeyStack, InfiniGrow, Measured, RecastThree alternatives
CaliberMind, HockeyStack, Ruler AnalyticsEleven alternatives
Adjust, Analytic Partners, AppsFlyer, Cassandra, Dreamdata, HockeyStack, Northbeam, Recast, Rockerbox, Sellforte, Triple WhaleEight alternatives
Cometly, Factors.ai, Google Analytics 4, Looker Studio, PyMC-Marketing, Ruler Analytics, Sellforte, Triple WhalePerplexity SonarDreamdataagainst: Adobe Marketo MeasureDreamdata, RecastChangedRockerboxGoogle Meridianagainst: Triple Whaleno first choiceagainst: Adobe Mix Modeler, Analytic Partners, Google Analytics 4, Google Meridian, Meta Robyn, Nielsen Marketing Mix Modeling, Northbeam, Triple Whale
Three alternatives
HockeyStack, Measured, RockerboxTwo alternatives
Adobe Marketo Measure, HockeyStackEleven alternatives
Adobe Marketo Measure, Analytic Partners, Google Meridian, Haus, HockeyStack, Measured, Meta Robyn, Northbeam, Recast, Sellforte, Triple WhaleThree alternatives
Cassandra, Dreamdata, Windsor.aiGrok 4.20Rockerboxagainst: Adobe Marketo MeasureDreamdataChangedagainst: Adobe Marketo Measure, Analytic Partners, Measuredno first choiceGoogle Analytics 4, Google Meridianagainst: Adobe Analytics, Google LightweightMMM, Measured, Nielsen Marketing Mix Modeling, Recast, Triple Whaleno first choiceagainst: Adobe Analytics, Adobe Marketo Measure, Google Meridian, Meta Robyn, Triple Whale
Three alternatives
Dreamdata, Measured, RecastSix alternatives
Attribution App, Google Meridian, HockeyStack, Meta Robyn, Northbeam, Ruler AnalyticsNine alternatives
Adobe Analytics, Adobe Marketo Measure, Adobe Mix Modeler, Analytic Partners, Google Analytics 4, Ipsos MMA, Kantar, Mutinex, RecastSix alternatives
Akkio, AnyTrack, Attribution App, Meta Robyn, RedTrack, WhatConvertsMistral SmallDreamdata, FunnelDreamdata, RecastChangedno first choiceAttribution App, Cometlyno first choiceagainst: Adobe Analytics, Analytic Partners, Cometly, Google Analytics 4, Haus, Kantar, Measured, Meta Robyn, Nielsen Marketing Mix Modeling, Northbeam, Prescient AI, Triple Whale
Five alternatives
Analytic Partners, HockeyStack, Kontrol Media, Recast, Ruler AnalyticsOne alternative
Attribution AppTwo alternatives
HubSpot Marketing Hub, Triple WhaleDeepSeek V4 FlashNorthbeamagainst: Adobe Marketing Campaign AnalyticsDreamdataChangedagainst: Adobe Marketo Measure, Analytic Partners, Google Meridian, Meta Robyn, Nielsen Marketing Mix Modeling, Northbeam, Triple WhaleRockerboxagainst: Google Analytics 4, Nielsen Marketing Mix ModelingGoogle Analytics 4, Google Meridianagainst: Adobe Analytics, Adobe Mix Modeler, Analytic Partners, Triple Whale, causaLensno first choiceagainst: Adjust, Admetrics, Adobe Mix Modeler, Analytic Partners, AppsFlyer, Google Analytics 4, Kochava, Marketing Evolution, Measured, Mutinex, Nielsen Marketing Mix Modeling, Phia, Recast, TikTok Ads
Five alternatives
Dreamdata, Factors.ai, Lifesight, LiftLab, MeasuredFour alternatives
HubSpot Marketing Hub, Rockerbox, Ruler Analytics, SegmentStreamTen alternatives
Adobe Marketo Measure, Adobe Mix Modeler, Analytic Partners, Google Meridian, Ipsos MMA, Measured, Meta Robyn, Northbeam, Recast, Triple WhaleTwo alternatives
Pretty Insights, UsermavenLlama 4 MaverickRockerboxno first choiceChangedno first choiceMixModelerno first choiceagainst: Google Analytics 4, Nielsen Marketing Mix Modeling, Northbeam, Triple Whale
Three alternatives
Adobe Marketo Measure, Attribution App, RecastThree alternatives
Attribution App, Lebesgue, MeasuredQwen 3.7 FlashRockerboxagainst: Adobe Mix Modeler, LinkedIn Campaign Manager, Salesforce Sales CloudAdobe Marketo MeasureChangedAdmetricsagainst: Google Analytics 4, Google Meridian, Meta RobynCassandraagainst: Northbeam, Rockerboxno first choiceagainst: Adobe Analytics, Salesforce Audience Studioagainst: Adjust, Adobe Analytics, AppsFlyer, Meta, Salesforce Marketing Cloud, TikTok Ads
Two alternatives
Attribution App, RecastFive alternatives
Looker Studio, PowerBI, Rapid Metrics, Supermetrics, TableauTen alternatives
Adobe Marketo Measure, Adobe Mix Modeler, Analytic Partners, Dreamdata, Ipsos MMA, Measured, Northbeam, Recast, Rockerbox, Triple WhaleSix alternatives
Google Analytics 4, Google Meridian, HubSpot Marketing Hub, Meta Robyn, Nexoya, SegmentThree alternatives
Databox, Snowplow, TripleWhaleKimi K2HockeyStackDreamdata, RecastChangedagainst: Adobe Marketo Measure, Analytic Partners, Ipsos MMA, Measured, Nielsen Marketing Mix Modelingno first choiceGoogle Analytics 4Dreamdata, Northbeam, Rockerboxagainst: Google, Hyros, Meta, Northbeam, Triple Whale
Two alternatives
Dreamdata, RockerboxTwo alternatives
HockeyStack, RockerboxSix alternatives
Admetrics, Attribuly, CheapMMM, Google Meridian, Meta Robyn, Pretty InsightsFour alternatives
Adobe Marketo Measure, Adobe Mix Modeler, HockeyStack, SegmentStreamGLM 4.7 FlashXMammoth Analytics, RockerboxDreamdata, SegmentStreamChangedno first choiceGoogle Analytics 4no first choiceagainst: AdRoll, AnyTrack, Voluum
Three alternatives
Adobe Marketo Measure, Funnel, UsermavenThree alternatives
Adobe Marketo Measure, HockeyStack, MeasuredSix alternatives
Dreamdata, Google Meridian, HubSpot Marketing Hub, Meta Robyn, MixModeler, Proof AnalyticsMiniMax M2.5Dreamdataagainst: Google Analytics 4, Salesforce Einstein AttributionNorthbeam, RockerboxChangedagainst: Google Cloud's Looker + BigQuery + a modeling partner, Mediavineno first choiceRockerboxagainst: Neustarno first choiceagainst: Adobe Analytics, Adobe Marketo Measure, Google, Meta
Three alternatives
Factors.ai, HockeyStack, Ruler AnalyticsFour alternatives
Adobe Marketo Measure, Nutrient, Robobo, TraackrFive alternatives
Facebook's Robyn, Google Analytics 4, Google Meridian, Heap, HubSpot Marketing HubGPT-6 LunaRuler AnalyticsDreamdataChangedno first choiceGoogle Analytics 4no first choiceagainst: Google Ads / GA4, Google Meridian, Kochava, Meta Robyn
One alternative
CaliberMindTwo alternatives
Google Meridian, HubSpot's own attribution reportingThree alternatives
Attributer, Attribution.ai, Google MeridianMuse Glimmer 30BDreamdataDreamdata, MeasuredChangedagainst: Google Meridian, Meta RobynMammoth Analytics, MeasuredGoogle Analytics 4, Google Meridian, Meta Robynno first choiceagainst: Google Analytics 4, Honey, Meta, Phia, ShopMy
Two alternatives
Attribution App, RockerboxFive alternatives
Attribution App, HockeyStack, Kontrol Media, Nielsen Marketing Mix Modeling, Ruler AnalyticsNine alternatives
Adobe Analytics, Adobe Marketo Measure, Dreamdata, Google Analytics 4, HubSpot Marketing Hub, Ipsos MMA, Rockerbox, Ruler Analytics, Triple WhaleFive alternatives
Attribution App, Google LightweightMMM, Pretty Insights, Usermaven, trivas.aiBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:28 | yes | 16 | 11 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:48 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 16:29 | yes | 12 | 28 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 16:21 | yes | 10 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:16 | yes | 10 | 13 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:25 | yes | 10 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:13 | yes | 19 | 45 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:51 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:56 | yes | 5 | 38 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:17 | yes | 22 | 33 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:34 | yes | 24 | 29 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:19 | yes | 5 | 27 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:14 | yes | 3 | 26 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:08 | yes | 21 | 35 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:28 | yes | 17 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:34 | yes | 5 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:58 | yes | 21 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 16:14 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:19 | yes | 5 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 15:38 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:46 | yes | 23 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:02 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 13:20 | no | 0 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:47 | yes | 20 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:02 | yes | 17 | 45 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:07 | no | 0 | 34 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:27 | yes | 2 | 20 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:24 | yes | 24 | 36 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:01 | yes | 19 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:43 | yes | 5 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 16:11 | yes | 15 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 09:52 | yes | 10 | 7 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:26 | yes | 15 | 13 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:35 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:05 | yes | 24 | 48 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:25 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:47 | yes | 19 | 47 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:15 | yes | 25 | 32 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:43 | yes | 24 | 53 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:05 | yes | 20 | 60 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:29 | yes | 15 | 50 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:31 | yes | 25 | 44 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:50 | yes | 15 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:49 | yes | 5 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:46 | yes | 7 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 13:45 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:56 | yes | 10 | 13 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:07 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:18 | yes | 25 | 27 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:19 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:13 | yes | 18 | 74 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 14:43 | yes | 14 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:58 | yes | 25 | 32 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:13 | no | 0 | 22 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:09 | yes | 4 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:30 | yes | 24 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:48 | no | 0 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:36 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 14:43 | no | 0 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 14:28 | yes | 10 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:55 | yes | 5 | 15 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:46 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:49 | yes | 25 | 36 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:15 | yes | 8 | 5 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 16:02 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:33 | yes | 14 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:45 | yes | 15 | 82 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:46 | no | 0 | 10 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:05 | yes | 2 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:15 | yes | 14 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:13 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:33 | yes | 3 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:03 | yes | 17 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:38 | yes | 10 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:40 | yes | 19 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:38 | yes | 10 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:46 | yes | 24 | 42 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:28 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:08 | no | 0 | 33 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:18 | yes | 23 | 45 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 17:15 | yes | 24 | 335 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:29 | yes | 10 | 29 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:30 | yes | 5 | 40 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:18 | yes | 21 | 31 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Adobe read as Adobe Mix Modeler
HubSpot read as HubSpot Marketing Hub
HubSpot Marketing Attribution read as HubSpot Marketing Hub
Keen read as Keen Decision Systems
Nielsen read as Nielsen Marketing Mix Modeling
Nielsen (now Circana) read as Nielsen Marketing Mix Modeling
Ruler read as Ruler Analytics
Salesforce read as Salesforce Sales Cloud
Unresolved, counted raw
Adobe Analytics Marketing Attribution
Amazon MMM / MMM API
Attribution.ai
ChannelAttribution
Datablocks
DiGGrowth
EasyInsights
Facebook's Robyn
Google
Google Cloud's Looker + BigQuery + a modeling partner (like Analog)
HubSpot's own attribution reporting
Kantar LIFT ROI
Keen's Decision Systems
LightMMM by Google
Lightweight MMM in Python
Marked
Meta
Meta (Facebook)
MetrixLab
Neustar MMM
Nexoya
Nutrient
Rapid Metrics
Robobo
Salesforce Einstein Attribution
Simba
Vendastana's MMM-as-a-Service
causaLens
trivas.ai
Discontinued, still offered
Mistral Small named Google LightweightMMM as mention on the comparative prompt. Deprecated by Google in favor of Meridian.
Muse Glimmer 30B named Google LightweightMMM as alternative on the budget prompt. Deprecated by Google in favor of Meridian.
Gemini 3.5 Flash named Google LightweightMMM as mention on the scale prompt. Deprecated by Google in favor of Meridian.