Attribution and marketing mix modeling for enterprise buyers
Asked as “marketing attribution and marketing mix modeling platform”, and as “attribution and MMM tool”, on behalf of an enterprise B2B company. 60 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
15%
Contested · Adobe Marketo Measure 13%
15Rockerbox13Adobe Marketo Measure12Dreamdata60others
15% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Dreamdata (13%) replaces Adobe Marketo Measure (16% then, 13% now), 0 points clear, inside the 11-point floor.Dreamdata leads at 13%, replacing Adobe Marketo Measure, which led at 16% and stands at 13% now: 0 points clear, inside the floor, so the swap reads as unsettled.
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.Standing →Mid-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.This page
Dreamdata26%Contested▲+5Since September 2026: 19% → 24%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-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.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Rockerbox15%9%34accepted challenger▲+10Since September 2026: 2% → 11%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 11%
Rockerbox15%9%34accepted challenger▲+10Since September 2026: 2% → 11%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 11%02
Adobe Marketo Measure13%9%32accepted challenger▼−3Since September 2026: 16% → 13%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 13%
Adobe Marketo Measure13%9%32accepted challenger▼−3Since September 2026: 16% → 13%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 13%03Dreamdata12%3%30accepted challenger▲+1Since September 2026: 12% → 13%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 13%
Dreamdata12%3%30accepted challenger▲+1Since September 2026: 12% → 13%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 13%04
Analytic Partners7%9%32accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 8%
Analytic Partners7%9%32accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 8%05
Northbeam7%14%22accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 6%
Northbeam7%14%22accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 6%06
CaliberMind7%0%11accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 4%
CaliberMind7%0%11accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 4%07
SegmentStream7%14%14accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 8%
SegmentStream7%14%14accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 8%08
HockeyStack5%8%26accepted challenger▼−5Since September 2026: 11% → 6%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 6%
HockeyStack5%8%26accepted challenger▼−5Since September 2026: 11% → 6%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 6%09
Nielsen Marketing Mix Modeling5%17%24accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 6%
Nielsen Marketing Mix Modeling5%17%24accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 6%10
Measured3%9%23accepted challenger▼−5Since September 2026: 9% → 4%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 4%
Measured3%9%23accepted challenger▼−5Since September 2026: 9% → 4%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 4%11
Recast2%14%14accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Recast2%14%14accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%12
Adobe Mix Modeler2%17%12accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 2%
Adobe Mix Modeler2%17%12accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 2%13
Adobe Analytics2%35%20criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Adobe Analytics2%35%20criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%14
Google Analytics 360 Lab in the set2%27%11criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Google Analytics 360 Lab in the set2%27%11criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%15
Google Meridian Lab in the set2%47%19criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Google Meridian Lab in the set2%47%19criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the two products at 0%, ordered by negative rate
17
Meta Robyn0%67%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%
Meta Robyn0%67%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
Ipsos MMA0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Ipsos MMA0%8%12accepted 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 360 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 one time 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 one time 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% negative30%
Key
01Rockerbox15%
Rockerbox15%02Adobe Marketo Measure13%
Adobe Marketo Measure13%03Dreamdata12%
Dreamdata12%04Analytic Partners7%
Analytic Partners7%05Northbeam7%
Northbeam7%06CaliberMind7%
CaliberMind7%07SegmentStream7%
SegmentStream7%08HockeyStack5%
HockeyStack5%09Nielsen Marketing Mix Modeling5%
Nielsen Marketing Mix Modeling5%10Measured3%
Measured3%11Recast2%
Recast2%12Adobe Mix Modeler2%
Adobe Mix Modeler2%13Adobe Analytics2%
Adobe Analytics2%14Google Analytics 3602%
Google Analytics 3602%15Google Meridian2%
Google Meridian2%16Ipsos MMA0%
Ipsos MMA0%17Meta Robyn0%
Meta Robyn0%What they warned about
One of fourteen models held their first choice under the paraphrase. 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 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 Meridian47%
9 of 19 labels negative · 7 of 14 models · 2 hard negative
“Free but require in-house data science teams — internal cost is unpredictable and hard to quantify” DeepSeek V4 Flash, budget prompt
Meta Robyn67%
8 of 12 labels negative · 5 of 14 models · 1 hard negative
“Free but require in-house data science teams — internal cost is unpredictable and hard to quantify” DeepSeek V4 Flash, budget prompt
Adobe Analytics35%
7 of 20 labels negative · 5 of 14 models
“Enterprise platforms with heavy implementation overhead ... such as **Adobe Analytics** or **Bizible**; one source explicitly says their complexity can overwhelm teams.” Perplexity Sonar, negative prompt
Triple Whale83%
5 of 6 labels negative · 4 of 14 models · 2 hard negative
“Avoid platforms heavily reliant on client-side tracking (e.g., pixel-based like older Triple Whale iterations)” Grok 4.1 Fast, negative 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
80 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. 1332 links across 292 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 · 120 citations · 11 models
vendor site · Improvado46 answers · 85 citations · 12 models
vendor site · Usermaven32 answers · 38 citations · 12 models
vendor site · Admetrics29 answers · 32 citations · 12 models
vendor site · SegmentStream28 answers · 36 citations · 11 models
vendor site · MCP Analytics26 answers · 28 citations · 10 models
vendor site · Measured25 answers · 47 citations · 11 models
vendor site · Factors.ai24 answers · 28 citations · 11 models
vendor site · Guideflow21 answers · 21 citations · 11 models
vendor site · HockeyStack18 answers · 26 citations · 6 models
vendor site · Integrate18 answers · 18 citations · 7 models
18 answers · 18 citations · 7 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.
28 answers · 11 models
24 answers · 11 models
22 answers · 11 models
22 answers · 10 models
20 answers · 10 models
18 answers · 7 models
17 answers · 6 models
17 answers · 9 models
17 answers · 9 models
16 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 |
|---|---|---|---|---|---|---|---|
| Adobe parent site Adobe Marketo Measure 13%, Adobe Analytics 2%, Adobe Marketing Campaign Analytics 2% | 17% | 206 | 1,220,000 | 117,563 | |||
| Rockerbox rockerbox.com | 15% | 72 | 1,600 | 13 | 2,095 | 8 | |
| Dreamdata dreamdata.io | 12% | 125 | 1,000 | 6 | 4,088 | 20 | |
| Analytic Partners analyticpartners.com | 7% | 57 | 1,900 | 64 | 7,373 | 5 | |
| Northbeam northbeam.io | 7% | 82 | 2,900 | 41 | 4,704 | $15 | 38 |
| CaliberMind calibermind.com | 7% | 20 | 260 | 0 | 150 | 6 | |
| SegmentStream segmentstream.com | 7% | 33 | 70 | 0 | 781 | 0 | |
| HockeyStack hockeystack.com | 5% | 98 | 3,600 | 46 | 3,061 | 15 | |
| Nielsen nielsen.com Nielsen Marketing Mix Modeling 5% | 5% | 34 | 40,500 | 9,627 | 224,341 company | 89 | |
| Measured measured.com | 3% | 57 | 110,000 | 264,524 | 24,514 | $513 | 13 |
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 an enterprise B2B company?”Paraphrase“Which attribution and MMM tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade 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 large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements 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 large enterprise avoid or be cautious about?”
Claude Haiku 4.5CaliberMind, DreamdataDreamdataChangedno first choiceagainst: Google Analytics 4Neustar MarketShareno first choiceagainst: Adobe Analytics, Adobe Mix Modeler, Analytic Partners, Cassandra, Circana, Dreamdata, Google Meridian, Ipsos MMA, Mutinex, Neuralift, Nielsen Marketing Mix Modeling, Recast, ThoughtMetric
Six alternatives
Adobe Marketo Measure, Analytic Partners, Circana, HockeyStack, Measured, Nielsen Marketing Mix ModelingSeven alternatives
Adobe Marketo Measure, HubSpot Marketing Hub, Lifesight, Northbeam, Rockerbox, Ruler Analytics, Salesforce-native modelsTen alternatives
Adobe Analytics, Adobe Marketing Campaign Analytics, Adobe Marketo Measure, Dreamdata, Funnel, Lifesight, Nielsen MMM, Northbeam, Rockerbox, SegmentStreamOne alternative
LifesightGPT-5.4 miniDreamdata, MeasuredGoogle Analytics 360, Google MeridianChangedagainst: Triple WhaleAdobe Attribution AI, Adobe Marketo Measure, Google MeridianAdverity, Measuredno first choicenothing named
Three alternatives
Analytic Partners, Haus, RevSureThree alternatives
Adobe Mix Modeler, Google Campaign Manager 360 Attribution Modeling, Nielsen Marketing Mix ModelingGemini 3.5 FlashCaliberMindAdobe Marketing Campaign AnalyticsChangedno first choicePrescient AIno first choiceagainst: Adobe Analytics, Hyros, Northbeam, Salesforce Marketing Cloud Intelligence, Triple Whale
Four alternatives
Adobe Marketo Measure, Analytic Partners, Dreamdata, HockeyStackSeven alternatives
Adobe Marketo Measure, Analytic Partners, CaliberMind, Dreamdata, HockeyStack, Proof Analytics, RecastNine alternatives
Adobe Mix Modeler, Analytic Partners, HockeyStack, LiftLab, Measured, Mutinex, Neustar, Nielsen Marketing Mix Modeling, RecastThree alternatives
Improvado, Measured, MutinexPerplexity SonarDreamdataagainst: HockeyStack, SegmentStreamAdobe Marketo MeasureChangedno first choiceagainst: ImprovadoSegmentStreamagainst: Google Analytics 360, Integrateno first choiceagainst: Adobe Analytics, Adobe Marketo Measure, Google Analytics 4
Two alternatives
Adobe Marketo Measure, CaliberMindThree alternatives
CaliberMind, Dreamdata, HockeyStackTwo alternatives
Adobe Analytics, Adobe Customer Journey AnalyticsGrok 4.1 FastDreamdataagainst: Google MeridianAnalytic Partners, HockeyStack, Nielsen Marketing Mix ModelingChangedagainst: Adobe Analytics, Google Analytics 360, SegmentStreamAnalytic PartnersRockerboxagainst: Amplitude, Analytic Partners, Kantar, Mixpanel, Nielsen Marketing Mix Modeling, Triple WhaleRockerboxagainst: Adjust, Adobe Analytics, Adobe Marketing Cloud MMM, AppsFlyer, Google Analytics 360, HubSpot Marketing Hub, IRI, Keen Decision Systems, MASS Analytics, Nielsen MMM, Triple Whale
Three alternatives
6sense, HockeyStack, Ipsos MMAThree alternatives
Adobe Experience Cloud, Dreamdata, Ruler AnalyticsFour alternatives
Ipsos MMA, Measured, OptiMine, RockerboxFour alternatives
Admetrics, Adobe Mix Modeler, Google Analytics 360, MeasuredFour alternatives
GetCrux, HockeyStack, Northbeam, SegmentStreamMistral SmallAdobe Marketo Measure, CometlyNorthbeam, RockerboxChangedAdobe Analytics, Analytic Partnersagainst: Meta Robyn, Visual IQAnalytic Partners, Nielsen Marketing Mix Modelingno first choiceagainst: Google Meridian, HockeyStack, Meta Robyn, Rockerbox
Three alternatives
CaliberMind, Nielsen Marketing Mix Modeling, SegmentStreamOne alternative
DreamdataFour alternatives
Google Analytics 360, Ipsos MMA, Measured, OptiMineTwo alternatives
Adobe Mix Modeler, RevSureDeepSeek V4 FlashRockerboxAdobe Marketo Measure, Analytic PartnersChangedagainst: Northbeamno first choiceAdobe Analytics, Adobe Mix Modeler, Rockerboxagainst: Admetrics, Google Meridian, Measured, Meta Robyn, Paramark, Recastno first choiceagainst: Adjust, AppsFlyer, Google Analytics 4, Google Meridian, Meta Robyn, Nielsen Marketing Mix Modeling
Four alternatives
Adobe Marketo Measure, Dreamdata, HockeyStack, NorthbeamThree alternatives
Dreamdata, Ipsos MMA, MeasuredOne alternative
Analytic PartnersLlama 4 MaverickNorthbeamHockeyStackChangedno first choiceAnalytic Partnersno first choicenothing named
Two alternatives
Attribution, DreamdataTwo alternatives
Dreamdata, RockerboxOne alternative
Nielsen Marketing Mix ModelingQwen 3.7 FlashRecastRockerboxChangedno first choiceagainst: Google Marketing PlatformArima Dataagainst: Admetrics, Adobe Analyticsno first choiceagainst: Adobe Analytics, Keen IO, Northbeam, Rockerbox, Salesforce Marketing Cloud, Triple Whale
Two alternatives
Analytic Partners, HockeyStackTwo alternatives
Adobe Analytics, Nielsen Marketing CloudSix alternatives
Adobe Analytics, Adobe Marketo Measure, Analytic Partners, NielsenIQ, Northbeam, RockerboxThree alternatives
Nielsen Marketing Cloud, Rockerbox, Salesforce Marketing Cloud IntelligenceKimi K2Dreamdata, HockeyStackagainst: Adobe Marketo MeasureAdobe Marketo Measure, Keen Decision SystemsChangedAnalytic Partners, Recastagainst: Nielsen Marketing Mix ModelingAdobe Marketo Measureno first choiceagainst: Adobe Mix Modeler, Google, Meta
Four alternatives
Adobe Mix Modeler, Analytic Partners, Factors.ai, SegmentStreamFour alternatives
Dreamdata, Nielsen Marketing Mix Modeling, Recast, RevSureFour alternatives
Adobe Analytics, Adobe Customer Journey Analytics, Ipsos MMA, Keen Decision SystemsFour alternatives
HockeyStack, Ipsos MMA, Nielsen Marketing Mix Modeling, RockerboxGLM 4.7 FlashXDreamdata, SegmentStreamAdobe Marketo Measure, Nielsen Marketing Mix ModelingChangedAdobe Analytics, Analytic Partnersagainst: Google Meridian, HubSpot Marketing Hub, Meta RobynSegmentStreamagainst: Measuredno first choiceagainst: Analytic Partners, Cometly, Google Analytics 4, Ruler Analytics
Seven alternatives
Adobe Marketo Measure, Analytic Partners, Factors.ai, HockeyStack, LiftLab, Measured, RecastSix alternatives
Dreamdata, Factors.ai, Google Meridian, Measured, Salesforce Attribution, SegmentStreamFourteen alternatives
AppsFlyer, C3 Metrics, Dreamdata, Ekimetrics, HockeyStack, Ipsos MMA, Keen Decision Systems, Mutinex, Nielsen Attribution, Nielsen Marketing Mix Modeling, OptiMine, Recast, Rockerbox, TransUnionTwo alternatives
Northbeam, RockerboxMiniMax M2.5Adobe Marketo Measureagainst: RockerboxSegmentStreamChangedAnalytic Partners, AppsFlyerNorthbeamno first choiceagainst: Cometlynothing named
Two alternatives
CaliberMind, RevSureTwo alternatives
Dreamdata, HockeyStackFour alternatives
Adjust, Adobe Analytics, Dreamdata, MeasuredTwo alternatives
Adobe Marketo Measure, RockerboxGPT-6 LunaCaliberMindCaliberMindHeldno first choiceagainst: Google — Meridian / Meridian Studio, Meta Robyn, NIQ — Cadence with Meridian, TransUnion TruAudienceNorthbeamagainst: Google Meridianno first choiceagainst: Google Meridian, Meta, Meta Robyn
Two alternatives
Dreamdata, HockeyStackTwo alternatives
Adobe Marketo Measure, Google MeridianNine alternatives
Adjust, Adobe Customer Journey Analytics, Analytic Partners, AppsFlyer, Circana — Marketing Mix / Liquid Mix, Ekimetrics — Marketing Effectiveness / Eki.Decisions, Kantar — LIFT ROI, Nielsen Marketing Mix Modeling, RockerboxOne alternative
RockerboxMuse Glimmer 30BAdobe Marketo Measure, RockerboxRockerboxChangedAdobe Analytics / Customer Journey Analytics, Analytic PartnersRockerboxno first choiceagainst: Adobe Marketo Measure, Google Meridian, Meta Robyn
Four alternatives
Adobe Mix Modeler, Dreamdata, HockeyStack, Nielsen Marketing Mix ModelingFive alternatives
Adobe Marketo Measure, Analytic Partners, Dreamdata, HockeyStack, Nielsen Marketing Mix ModelingTen alternatives
Adobe Marketo Measure, Google Meridian, Ipsos MMA, Kochava, MASS Analytics, Meta Robyn, Mutinex, Nielsen MMM, Northbeam, RecastTwo alternatives
Admetrics, MaxmaBold 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 11:35 | yes | 19 | 10 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:42 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:41 | yes | 31 | 35 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 14:06 | yes | 19 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:21 | yes | 24 | 15 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:23 | yes | 10 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:23 | yes | 22 | 27 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:16 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:49 | yes | 14 | 42 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:44 | yes | 23 | 29 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:52 | yes | 24 | 55 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:28 | yes | 11 | 20 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:09 | yes | 6 | 23 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:35 | yes | 15 | 23 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 14:17 | yes | 18 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:06 | yes | 5 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:03 | yes | 20 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:08 | yes | 16 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:59 | yes | 24 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:38 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:58 | yes | 22 | 42 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:42 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:16 | yes | 5 | 29 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:03 | yes | 23 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:41 | yes | 15 | 26 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:24 | yes | 13 | 29 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:58 | yes | 3 | 25 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:48 | yes | 13 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:39 | yes | 16 | 15 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:09 | yes | 9 | 12 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:25 | yes | 22 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:23 | yes | 18 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:15 | yes | 22 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:58 | yes | 24 | 14 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:49 | yes | 25 | 15 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:59 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:22 | yes | 20 | 66 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 14:16 | yes | 24 | 29 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:37 | yes | 24 | 86 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:37 | yes | 24 | 48 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:44 | yes | 12 | 50 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:23 | yes | 25 | 71 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:37 | yes | 17 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:37 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:36 | yes | 21 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:53 | yes | 19 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:50 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:56 | yes | 13 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:49 | yes | 23 | 52 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:41 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:37 | yes | 23 | 94 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:07 | yes | 22 | 28 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:47 | yes | 21 | 57 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:38 | yes | 19 | 44 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:07 | yes | 3 | 24 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:14 | yes | 13 | 27 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:09 | yes | 27 | 18 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:00 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:07 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:58 | yes | 18 | 9 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:17 | yes | 20 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:29 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:47 | yes | 23 | 58 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:18 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:41 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:11 | yes | 25 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:35 | yes | 24 | 37 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:42 | yes | 8 | 25 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:26 | yes | 4 | 24 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:48 | yes | 23 | 40 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:33 | yes | 19 | 14 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:14 | yes | 3 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:48 | yes | 23 | 35 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:16 | yes | 21 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:45 | yes | 20 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:56 | yes | 10 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:40 | yes | 23 | 50 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 14:11 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:36 | yes | 25 | 49 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:12 | yes | 23 | 34 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:50 | yes | 22 | 30 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:43 | yes | 22 | 40 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:28 | yes | 5 | 25 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:26 | yes | 24 | 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
HubSpot Marketing Attribution read as HubSpot Marketing Hub
Keen read as Keen Decision Systems
Nielsen read as Nielsen Marketing Mix Modeling
Nielsen (Marketing Mix Modeling) read as Nielsen Marketing Mix Modeling
Nielsen Marketing Mix read as Nielsen Marketing Mix Modeling
Unresolved, counted raw
Adobe Marketing Cloud MMM
Arima Data
C3 Metrics
C5i
Circana — Marketing Mix / Liquid Mix
Ekimetrics — Marketing Effectiveness / Eki.Decisions
Full Circle Insights
GetCrux
Google
Google Campaign Manager 360 Attribution Modeling
Google — Meridian / Meridian Studio
Google's MMM
Improvo
Kantar — LIFT ROI
Keen IO
Maxma
Measured.com
Meta
NIQ — Cadence with Meridian
Proof Analytics
Recast.io
Salesforce Attribution
Salesforce-native models
Wpromote's MMM
Discontinued, still offered
Perplexity Sonar named Attribution 360 as mention on the comparative prompt. Discontinued.