Attribution and marketing mix modeling for small business buyers
Asked as “marketing attribution and marketing mix modeling platform”, and as “attribution and MMM tool”, on behalf of a small B2B company. 62 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
26%
Contested · Google Analytics 4 18%
26Dreamdata18Google Analytics 406HubSpot Marketing Hub50others
26% of first choices, contested.
Since September 2026▲+5Since September 2026: 19% → 24%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Dreamdata held the lead, +5 points on 19%, 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▲+5Since September 2026: 19% → 24%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketDreamdata27%Contested▼−3Since September 2026: 29% → 26%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Rockerbox15%Contested↗new leaderNew leader since September 2026: Dreamdata (13%) replaces Adobe Marketo Measure (16% then, 13% now), 0 points clear, inside the 11-point floor.Standing →
Dreamdata26%Contested▲+5Since September 2026: 19% → 24%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketDreamdata27%Contested▼−3Since September 2026: 29% → 26%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseRockerbox15%Contested↗new leaderNew leader since September 2026: Dreamdata (13%) replaces Adobe Marketo Measure (16% then, 13% now), 0 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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Dreamdata26%3%30accepted challenger▲+5Since September 2026: 19% → 24%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.19% → 24%
Dreamdata26%3%30accepted challenger▲+5Since September 2026: 19% → 24%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.19% → 24%02
Google Analytics 4 Lab in the set18%13%39accepted challenger▲+3Since September 2026: 16% → 19%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 19%
Google Analytics 4 Lab in the set18%13%39accepted challenger▲+3Since September 2026: 16% → 19%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 19%03
HubSpot Marketing Hub6%9%32accepted challenger▼−1Since September 2026: 9% → 7%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 7%
HubSpot Marketing Hub6%9%32accepted challenger▼−1Since September 2026: 9% → 7%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 7%04
Ruler Analytics6%4%27accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 6%
Ruler Analytics6%4%27accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 6%05
Northbeam6%42%31criticized challenger▲+7Since September 2026: 0% → 7%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 7%
Northbeam6%42%31criticized challenger▲+7Since September 2026: 0% → 7%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 7%06
Triple Whale5%7%28accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
Triple Whale5%7%28accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%07
Cometly5%4%25accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 6%
Cometly5%4%25accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 6%08
Google Meridian Lab in the set3%28%36criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
Google Meridian Lab in the set3%28%36criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%09
Cassandra3%8%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Cassandra3%8%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%10
Meta Robyn3%37%30criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
Meta Robyn3%37%30criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%11
HockeyStack3%40%20criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
HockeyStack3%40%20criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%12
Factors.ai2%8%13accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%
Factors.ai2%8%13accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%Show the five products at 0%, ordered by negative rate
17
Adobe Marketo Measure0%83%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Adobe Marketo Measure0%83%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%16
Measured0%38%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Measured0%38%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%15Rockerbox0%25%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Rockerbox0%25%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%13
Recast0%22%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Recast0%22%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%14
Admetrics0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Admetrics0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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 eleven 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 zero times of 4; the other thirteen models two times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
All twenty-eight head-to-head pages: the top eight products, each against each
Dreamdata vs HockeyStackDreamdata vs MeasuredDreamdata vs RecastDreamdata vs CometlyGoogle Analytics 4 vs RockerboxGoogle Analytics 4 vs Google MeridianGoogle Analytics 4 vs HockeyStackGoogle Analytics 4 vs MeasuredGoogle Analytics 4 vs RecastGoogle Analytics 4 vs CometlyRockerbox vs Google MeridianRockerbox vs HockeyStackRockerbox vs MeasuredRockerbox vs RecastRockerbox vs CometlyGoogle Meridian vs HockeyStackGoogle Meridian vs MeasuredGoogle Meridian vs RecastGoogle Meridian vs CometlyHockeyStack vs MeasuredHockeyStack vs RecastHockeyStack vs CometlyMeasured vs RecastMeasured vs CometlyRecast vs Cometly
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 →
0102030405060708091011121314151617Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Dreamdata26%
Dreamdata26%02Google Analytics 418%
Google Analytics 418%03HubSpot Marketing Hub6%
HubSpot Marketing Hub6%04Ruler Analytics6%
Ruler Analytics6%05Northbeam6%
Northbeam6%06Triple Whale5%
Triple Whale5%07Cometly5%
Cometly5%08Google Meridian3%
Google Meridian3%09Cassandra3%
Cassandra3%10Meta Robyn3%
Meta Robyn3%11HockeyStack3%
HockeyStack3%12Factors.ai2%
Factors.ai2%13Recast0%
Recast0%14Admetrics0%
Admetrics0%15Rockerbox0%
Rockerbox0%16Measured0%
Measured0%17Adobe Marketo Measure0%
Adobe Marketo Measure0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 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.
Meta Robyn37%
11 of 30 labels negative · 8 of 14 models · 3 hard negative
“Free, but require an in-house Python/R econometrician. Not practical for most small teams.” DeepSeek V4 Flash, direct prompt
Adobe Marketo Measure83%
10 of 12 labels negative · 7 of 14 models · 8 hard negative
“**Enterprise-level platforms** such as Adobe Analytics or Bizible. These are often too complex and resource-intensive for small businesses” Mistral Small, negative prompt
Northbeam42%
13 of 31 labels negative · 7 of 14 models · 5 hard negative
“**Northbeam** \u2014 Combines attribution and MMM well, but is custom-priced and built for performance teams with substantial ad spend” DeepSeek V4 Flash, paraphrase prompt
Google Meridian28%
10 of 36 labels negative · 7 of 14 models · 3 hard negative
“Free, but require an in-house Python/R econometrician. Not practical for most small teams.” DeepSeek V4 Flash, direct prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
78 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. 1243 links across 243 sites, every framing counted. Ranked by the number of answers carrying the site or page. 18 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.
vendor site · Cometly52 answers · 147 citations · 12 models
vendor site · Improvado42 answers · 78 citations · 12 models
vendor site · Admetrics35 answers · 43 citations · 12 models
vendor site · MCP Analytics32 answers · 39 citations · 11 models
vendor site · SegmentStream29 answers · 34 citations · 11 models
27 answers · 27 citations · 9 models
vendor site · Guideflow26 answers · 26 citations · 10 models
vendor site · Ruler Analytics24 answers · 34 citations · 11 models
vendor site · Usermaven24 answers · 26 citations · 11 models
vendor site · Factors.ai22 answers · 24 citations · 11 models
vendor site · Prescient AI18 answers · 23 citations · 9 models
16 answers · 19 citations · 12 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.
27 answers · 11 models
27 answers · 9 models
26 answers · 10 models
23 answers · 11 models
22 answers · 11 models
16 answers · 8 models
16 answers · 8 models
16 answers · 8 models
15 answers · 9 models
14 answers · 11 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 | 26% | 125 | 1,000 | 6 | 4,088 | 20 | ||
| Google analytics.google.com Google Analytics 4 18% | 18% | 474 | 9,900 | 348 | ||||
| HubSpot parent site HubSpot Marketing Hub 6% | 6% | 934 | 368,000 | 9,776 | ||||
| Ruler Analytics ruleranalytics.com | 6% | 77 | 140 | 0 | 3,552 | 1 | 6 | |
| Northbeam northbeam.io | 6% | 82 | 2,900 | 41 | 4,704 | $15 | 38 | |
| Triple Whale triplewhale.com | 5% | 55 | 8,100 | 147 | 11,483 | $335 | 62 | |
| Cometly cometly.com | 5% | 76 | 60,500 | 10 | 26,585 | 0 | 1 | |
| Google parent site Google Meridian 3% | 3% | 89 | 720 | 46 | ||||
| Cassandra cassandra.app | 3% | 19 | 33,100 | 13,992 | 429 | 0 | ||
| Meta parent site Meta Robyn 3% | 3% | 64 | 90 | 1 |
Google's top ten for the two searches hold 15 sites; 3 of them are among the sites the models cited here (cometly.com, improvado.io, ruleranalytics.com). 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 small B2B company?”Paraphrase“Which attribution and MMM tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top marketing attribution and marketing mix modeling platforms for a small team and how do they differ?”Budget-constrained“What is the best marketing attribution and marketing mix modeling platform for a small company with a tight budget?”Scale-constrained“We are a 30 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 a small business avoid or be cautious about?”
Claude Haiku 4.5Dreamdata, HockeyStackagainst: Northbeamno first choiceChangedGoogle Analytics 4, Triple Whaleagainst: HockeyStack, NorthbeamGoogle Analytics 4against: Google Meridian, Meta Robynno first choicenothing named
Three alternatives
Google Analytics 4, HubSpot Marketing Hub, RockerboxFive alternatives
Amplitude, Google Analytics 4, HubSpot's built-in attribution, Mixpanel, SupermetricsFour alternatives
Attributer, Cometly, Funnel, HubSpot Marketing HubTwo alternatives
Attributer, NorthbeamGPT-5.4 miniDreamdataHubSpot Marketing HubChangedAdjust, Branchagainst: Marketing EvolutionAdmaxxer Proagainst: Adobe Marketo Measure, Adobe Mix Modelerno first choicenothing named
Two alternatives
Adobe Marketo Measure, Google MeridianFour alternatives
Google Analytics 4, Measured, Northbeam, Salesforce reportingFour alternatives
AppsFlyer, Google / LightweightMMM ecosystem, Northbeam, SingularOne alternative
ClickFlareGemini 3.5 FlashDreamdataagainst: Adobe Marketo Measure, Google Meridian, HockeyStack, LiftLab, Measured, Meta Robyn, Mutinex, RecastDreamdataHeldagainst: Google LightweightMMM, Meta RobynTriple WhaleCassandra, Windsor.aiTriple Whaleagainst: Google Meridian, Meta Robynagainst: Adobe Marketo Measure, Analytic Partners, Google Meridian, Ipsos MMA, Meta Robyn, Neustar, Nielsen Marketing Mix Modeling, Pecan, PyMC-Marketing, Salesforce Marketing Cloud Intelligence, Segment, Uber’s Orbit
Three alternatives
DemandSense, Factors.ai, FibblerFour alternatives
CaliberMind, Factors.ai, HubSpot Marketing Hub, Ruler AnalyticsSix alternatives
Able CDP, Cometly, Northbeam, Prescient AI, Ruler Analytics, UsermavenFour alternatives
Admetrics, Google Meridian, Meta Robyn, Triple WhaleFive alternatives
Fospha, Lifesight, Northbeam, Recast, RockerboxPerplexity SonarHubSpot Marketing Hub, Ruler AnalyticsDreamdataChangedagainst: HubSpot Marketing HubCometlyagainst: Google Analytics 4Cometly, Google Analytics 4no first choiceagainst: Adobe Analytics, Adobe Marketo Measure, Google Analytics 360, Improvado
Two alternatives
Cometly, DreamdataOne alternative
CometlyFour alternatives
Factors.ai, HubSpot Analytics, HubSpot Marketing Hub, Ruler AnalyticsTwo alternatives
HubSpot Marketing Hub, WhatConvertsGrok 4.1 FastGoogle Analytics 4against: Adobe Mix Modeler, Measured, RecastDreamdataChangedagainst: Adobe Mix Modeler, MeasuredGoogle Analytics 4, HubSpot Marketing Hubagainst: Analytic Partners, Google Meridian, Ipsos, Mammoth, Meta RobynGoogle Analytics 4, Google Meridianagainst: CometlyCometly, Windsor.aiagainst: Analytic Partners, Nielsen-based platforms, Northbeam, Rockerbox, Triple Whale
Five alternatives
Dreamdata, Google Meridian, HubSpot Marketing Hub, Meta Robyn, UsermavenThree alternatives
Google Analytics 4, Google Meridian, Meta RobynFour alternatives
Cassandra, LeadsRx, Matomo, Triple WhaleTwo alternatives
Meta Robyn, Triple WhaleNine alternatives
Factors.ai, HockeyStack, HubSpot Operations Hub, Measured, Recast, Ruler Analytics, SegMetrics, ThoughtMetric, Triple WhaleMistral SmallDreamdata, HockeyStackFactors.aiChangedGoogle Meridian, NorthbeamGoogle Analytics 4no first choiceagainst: Adobe Analytics, Adobe Marketo Measure, Meta Robyn
Four alternatives
Admetrics, Cometly, HubSpot Marketing Hub, Ruler AnalyticsTwo alternatives
Attributy, NorthbeamFive alternatives
Admetrics, Dreamdata, Haus, Rockerbox, Wicked ReportsTwo alternatives
Measured, RecastDeepSeek V4 FlashAttributionagainst: Dreamdata, Google Meridian, Meta Robyn, Northbeam, SegmentStreamRuler AnalyticsChangedagainst: Analytic Partners, Ipsos MMA, Nielsen Marketing Mix Modeling, Northbeam, OptiMineGoogle Analytics 4, Triple Whaleagainst: NorthbeamGoogle Analytics 4, Meta Robynagainst: Analytic Partners, Nielsen Marketing Mix ModelingNorthbeamagainst: Analytic Partners, Haus, Measured, Rockerboxnothing named
Two alternatives
HubSpot Marketing Hub, Ruler AnalyticsThree alternatives
Cometly, Google Analytics 4, Google MeridianFive alternatives
Cometly, Google Meridian, Hyros, Meta Robyn, Ruler AnalyticsFour alternatives
Cassandra, Google Meridian, PyMC-Marketing, Triple WhaleSix alternatives
Cometly, Dreamdata, Google Meridian, Meta Robyn, Ruler Analytics, Triple WhaleLlama 4 MaverickNorthbeamCometlyChangedno first choiceno first choiceno first choicenothing named
Three alternatives
Cometly, Guideflow, Veza DigitalFour alternatives
Dreamdata, Fibbler, Rockerbox, Triple WhaleFour alternatives
AnyTrack, AppsFlyer, Google Analytics 4, Triple WhaleThree alternatives
Cometly, Measured, RecastQwen 3.7 FlashHubSpot Marketing HubHubSpot Marketing Hub, SupermetricsChangedagainst: Quantum, Refined, ThreeDMind, VerooTriple Whaleagainst: Cassandra, NorthbeamGoogle Analytics 4against: MediaMindNorthbeamagainst: Demandbase, Google Analytics 4, HockeyStack, HubSpot Marketing Hub, LinkedIn Campaign Manager, Northbeam, Salesforce Sales Cloud, TikTok Ads
Three alternatives
Northbeam, Ruler Analytics, SegmentStreamThree alternatives
CallRail, Google Analytics 4, Looker StudioFour alternatives
Cometly, Hyros, MixModeler, ThoughtMetricSix alternatives
Admetrics, Cometly, Google Meridian, MCP Analytics, Meta Robyn, MixModelerTwo alternatives
Ruler Analytics, Triple WhaleKimi K2Dreamdata, Ruler Analyticsagainst: HockeyStackDreamdataChangedagainst: Adobe Marketo Measure, HockeyStackSourceLoopagainst: Hyros, NorthbeamGoogle Analytics 4against: Google Meridian, Meta RobynDreamdata, Triple Whaleagainst: Northbeamagainst: Admetrics, Adobe Marketo Measure, Google Analytics 4
Four alternatives
CheapMMM, Factors.ai, Google Meridian, RecastFour alternatives
Attribution App, Factors.ai, Google's LightweightMMM / Meridian, Ruler AnalyticsSeven alternatives
Google Meridian, Lifesight, Meta Robyn, Recast, SegMetrics, Triple Whale, UsermavenThree alternatives
Cometly, Dreamdata, Triple WhaleFour alternatives
Analytic Edge, Google Analytics 4, Google Meridian, RecastGLM 4.7 FlashXDreamdataagainst: Adobe Mix ModelerDreamdataHeldGoogle Meridian, HubSpot Marketing HubGoogle Analytics 4Improvado, Lifesightnothing named
Four alternatives
ActiveCampaign, HubSpot Marketing Hub, Matomo Analytics, MixModelerThree alternatives
Cometly, Prescient AI, RecastFour alternatives
Attribution App, Measured, Recast, SegMetricsSeven alternatives
Admetrics, Cassandra, Cometly, Google Meridian, Meta Robyn, Ruler Analytics, Triple WhaleFour alternatives
Adobe Marketo Measure, Google Analytics 4, Mutinex, Triple WhaleMiniMax M2.5Dreamdataagainst: Analytic Partners, Nielsen Marketing Mix ModelingNorthbeamChangedCometlyGoogle Analytics 4, Google Meridian, Meta Robynno first choiceagainst: Adobe Analytics, Adobe Marketo Measure
Three alternatives
Google Meridian, MixModeler, Ruler AnalyticsTwo alternatives
Admetrics, DreamdataFour alternatives
Attribution App, Measured, Rockerbox, Wicked ReportsOne alternative
CometlyGPT-6 LunaDreamdataagainst: HockeyStackDreamdataHeldagainst: Google Meridian, HockeyStackDreamdata, Triple Whaleagainst: HubSpot Marketing Hub, NorthbeamGoogle Analytics 4against: Ruler Analyticsno first choiceagainst: Google Analytics 4, Google Meridian, Meta Robyn, Northbeam, Triple Whale
One alternative
HubSpot Marketing HubOne alternative
HubSpot Marketing HubFour alternatives
Google Meridian, Haus, Meta Robyn, RecastOne alternative
Google MeridianOne alternative
Google MeridianMuse Glimmer 30BAttributer, Ruler AnalyticsDreamdataChangedMammoth Analytics, Meta Robynagainst: Adobe Analytics, Adobe Marketo MeasureCassandraagainst: RecastTriple Whaleagainst: Google Analytics 4, HubSpot with Marketing Hub Proagainst: Adobe Analytics, Adobe Marketo Measure, Adobe Mix Modeler, Analytic Partners, Circana, Factors.ai, Google Meridian, HockeyStack, Keen Decision Systems, Lifesight, Measured, Meta Robyn, Northbeam, Prescient AI, Recast, Rockerbox, Sellforte
Five alternatives
Cassandra, Dreamdata, HubSpot Marketing Hub, MixModeler, SegmentStreamFive alternatives
Attribution, Google Meridian, HubSpot Marketing Hub, MCP Analytics, Meta RobynEight alternatives
CallRail, Cassandra, Google Analytics 4, HubSpot Marketing Hub, MixModeler, Ruler Analytics, Triple Whale, WhatConvertsFour alternatives
Attribution App, Cometly, Google Meridian, Meta RobynTwo alternatives
Measured, RecastBold 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. Full answer text is in the free responses file. Download the record
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 | 2026-10-01 09:00 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:28 | yes | 3 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:13 | yes | 20 | 30 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:06 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:15 | yes | 23 | 13 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:40 | yes | 10 | 9 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:42 | yes | 23 | 39 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:56 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:21 | yes | 10 | 46 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:47 | yes | 24 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:43 | yes | 22 | 30 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:03 | yes | 23 | 40 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:55 | yes | 3 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:47 | yes | 24 | 32 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:04 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:42 | no | 0 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:01 | yes | 13 | 29 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:52 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:53 | yes | 25 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:16 | yes | 11 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:16 | yes | 25 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:12 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:29 | no | 0 | 42 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:10 | yes | 20 | 26 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:24 | yes | 25 | 186 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:06 | yes | 13 | 50 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:05 | yes | 4 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:44 | yes | 22 | 28 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:52 | yes | 18 | 14 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:01 | yes | 8 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:31 | yes | 17 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:43 | yes | 20 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:59 | yes | 22 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:27 | yes | 15 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:55 | yes | 25 | 45 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:39 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:35 | yes | 15 | 45 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:45 | yes | 24 | 31 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:45 | yes | 25 | 22 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:28 | yes | 24 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:39 | yes | 8 | 37 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:39 | yes | 15 | 22 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:33 | yes | 18 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:02 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:42 | yes | 18 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 13:53 | yes | 17 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:55 | yes | 24 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:32 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:49 | yes | 24 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:45 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:55 | yes | 10 | 36 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:56 | yes | 25 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:45 | yes | 23 | 22 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:42 | yes | 10 | 14 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:17 | yes | 3 | 19 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:05 | yes | 22 | 33 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:05 | no | 0 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:52 | yes | 4 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:07 | yes | 13 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:51 | yes | 18 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:33 | yes | 22 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:24 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:19 | yes | 25 | 59 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:53 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:51 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:25 | yes | 24 | 29 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:01 | yes | 23 | 32 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:16 | yes | 5 | 23 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:32 | yes | 4 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:47 | yes | 15 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:11 | yes | 18 | 14 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:35 | yes | 4 | 9 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:33 | yes | 18 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 13:03 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:18 | yes | 22 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:48 | yes | 10 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:24 | yes | 24 | 13 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:22 | yes | 9 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:04 | yes | 17 | 58 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:51 | yes | 25 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:16 | yes | 23 | 54 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:57 | yes | 21 | 29 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:13 | yes | 5 | 21 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:07 | yes | 20 | 36 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
Keen read as Keen Decision Systems
Nielsen read as Nielsen Marketing Mix Modeling
Nielsen (NCS/Gracenote) read as Nielsen Marketing Mix Modeling
Ruler read as Ruler Analytics
Salesforce read as Salesforce Sales Cloud
Unresolved, counted raw
Admaxxer Pro
Analytic Edge
ClickFlare
DiGGrowth
Google / LightweightMMM ecosystem
Google's LightweightMMM / Meridian
Google's free Media Mix Modeling tools
HubSpot with Marketing Hub Pro
HubSpot's built-in attribution
Mammoth
MassTer
MediaMind
Nielsen-based platforms
Pecan
PyMC
Quantum
Refined
Salesforce reporting
Snowflake-based proprietary solutions
ThreeDMind
Uber’s Orbit
Usemate
Veroo
Veza Digital
Wetracked.io
Discontinued, still offered
No shut-down product was recommended here.