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. 64 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
27%
Contested · Google Analytics 4 17%
27Dreamdata17Google Analytics 411Rockerbox45others
30% of first choices with no negative labels at all across 22. The incumbents are the criticized half of this category: GA4 at 43% negative, Adobe Marketo Measure at 57%.
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.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the six products at 0%, ordered by negative rate
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 eleven models nine times of 44. 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 eleven models three times of 44. 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 Triple WhaleDreamdata vs HockeyStackDreamdata vs Google MeridianDreamdata vs CaliberMindGoogle Analytics 4 vs RecastGoogle Analytics 4 vs MeasuredGoogle Analytics 4 vs Triple WhaleGoogle Analytics 4 vs HockeyStackGoogle Analytics 4 vs Google MeridianGoogle Analytics 4 vs CaliberMindRecast vs MeasuredRecast vs Triple WhaleRecast vs HockeyStackRecast vs Google MeridianRecast vs CaliberMindMeasured vs Triple WhaleMeasured vs HockeyStackMeasured vs Google MeridianMeasured vs CaliberMindTriple Whale vs HockeyStackTriple Whale vs Google MeridianTriple Whale vs CaliberMindHockeyStack vs Google MeridianHockeyStack vs CaliberMindGoogle Meridian vs CaliberMind
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 →
01
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05
06
07
08
09
10
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12
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17Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Dreamdata27%
Dreamdata27%02Google Analytics 417%
Google Analytics 417%03Rockerbox11%
Rockerbox11%04Google Meridian5%
Google Meridian5%05HockeyStack5%
HockeyStack5%06Measured5%
Measured5%07Recast3%
Recast3%08Cometly2%
Cometly2%09HubSpot Marketing Hub2%
HubSpot Marketing Hub2%10Ruler Analytics2%
Ruler Analytics2%11Triple Whale2%
Triple Whale2%12Meta Robyn0%
Meta Robyn0%13Analytic Partners0%
Analytic Partners0%14SegmentStream0%
SegmentStream0%15Northbeam0%
Northbeam0%16Adobe Analytics0%
Adobe Analytics0%17Adobe Marketo Measure0%
Adobe Marketo Measure0%What they warned about
Two of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 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.
Northbeam42%
13 of 31 labels negative · 9 of 12 models · 2 hard negative
“Avoid E-comm tools (e.g., Triple Whale, Northbeam): DTC-focused, not B2B pipelines” Grok 4.20, paraphrase prompt
Google Analytics 425%
7 of 28 labels negative · 6 of 12 models · 1 hard negative
“**Google Analytics 4 as sole source of truth** | ❌ Avoid — known cracks in multi-channel, cross-device tracking” Kimi K2, negative prompt
Triple Whale29%
6 of 21 labels negative · 4 of 12 models · 1 hard negative
“Avoid E-comm tools (e.g., Triple Whale, Northbeam): DTC-focused, not B2B pipelines” Grok 4.20, paraphrase prompt
Nielsen Marketing Mix Modeling57%
4 of 7 labels negative · 4 of 12 models
“Enterprise giants like Nielsen ($500K\u2013$3M/yr) ... are generally overkill and overpriced for mid-market budgets” DeepSeek V4 Flash, direct prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the twelve in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
81 of 84 answers in this category came back with a source list, from 14 of 12 models: citations where the model returns them, or the search results it consulted. 1298 links across 278 sites, every framing counted. Ranked by the number of answers carrying the site or page.
vendor site · Improvado49 answers · 91 citations · 12 models
vendor site · Cometly47 answers · 109 citations · 12 models
vendor site · Admetrics32 answers · 34 citations · 11 models
vendor site · Guideflow31 answers · 31 citations · 10 models
31 answers · 31 citations · 9 models
vendor site · SegmentStream30 answers · 34 citations · 11 models
vendor site · Funnel22 answers · 31 citations · 13 models
22 answers · 28 citations · 8 models
vendor site · Usermaven20 answers · 20 citations · 10 models
vendor site · HockeyStack19 answers · 25 citations · 6 models
vendor site · MCP Analytics19 answers · 22 citations · 11 models
vendor site · Measured18 answers · 24 citations · 10 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.
31 answers · 10 models
31 answers · 9 models
27 answers · 10 models
22 answers · 10 models
20 answers · 10 models
17 answers · 6 models
15 answers · 8 models
15 answers · 10 models
14 answers · 8 models
14 answers · 8 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 | 27% | 125 | 1,000 | 6 | 4,088 | 20 | ||
| Google analytics.google.com Google Analytics 4 17% | 17% | 474 | 9,900 | 348 | ||||
| Rockerbox rockerbox.com | 11% | 72 | 1,600 | 13 | 2,095 | 8 | ||
| Google parent site Google Meridian 5% | 5% | 89 | 720 | 46 | ||||
| HockeyStack hockeystack.com | 5% | 98 | 3,600 | 46 | 3,061 | 15 | ||
| Measured measured.com | 5% | 57 | 110,000 | 264,524 | 24,514 | $513 | 13 | |
| MixModeler mixmodeler.com | 5% | 12 | ||||||
| Recast getrecast.com | 3% | 47 | 5,400 | 16,436 | 3,125 | 0 | ||
| Factors.ai factors.ai | 3% | 91 | 590 | 1 | 8,319 | 31 | ||
| Cometly cometly.com | 2% | 76 | 60,500 | 10 | 26,585 | 0 | 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, funnel.io, 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, HockeyStackno first choiceChangedno first choiceAttributer, Google Analytics 4against: Google Meridianno first choiceagainst: Cometly, Keen Decision Systems, Meta Robyn, Nielsen Marketing Mix Modeling, Recast
Four alternatives
CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStreamThree alternatives
Cometly, Ruler Analytics, Triple WhaleGPT-5.4 miniDreamdataDreamdataHeldno first choiceHubSpot Marketing Hub, MixModelerno first choicenothing named
Two alternatives
HockeyStack, MeasuredTwo alternatives
Funnel, HubSpot Marketing HubOne alternative
Google’s free / low-cost attribution optionsGemini 3.5 FlashCaliberMindagainst: Google Meridian, Meta RobynRevSureChangedno first choiceagainst: Analytic Partners, Neustar, Nielsen Marketing Mix Modeling, TransUnionWindsor.aiagainst: Measured, Recast, RockerboxHaus, Measured, Recast, Rockerboxagainst: Google Meridian, Meta Robynagainst: Google Analytics 4, Meta Ads, Northbeam, Rockerbox, TikTok Ads, Triple Whale
Four alternatives
Dreamdata, HockeyStack, RevSure, SegmentStreamThree alternatives
HockeyStack, Improvado, Ruler AnalyticsSeven alternatives
Dreamdata, HockeyStack, Measured, Northbeam, Recast, Rockerbox, Triple WhaleSix alternatives
Admetrics, Cassandra, Google Meridian, Meta Robyn, Ruler Analytics, UsermavenOne alternative
MutinexPerplexity SonarDreamdataDreamdataHeldagainst: Northbeam, Triple Whaleno first choiceGoogle Analytics 4against: Dreamdata, Triple Whaleno first choiceagainst: Adobe Analytics, Adobe Marketo Measure, Google Analytics 4
Three alternatives
HockeyStack, Improvado, SegmentStreamThree alternatives
Cometly, HockeyStack, SegmentStreamTwo alternatives
Cometly, FibblerGrok 4.20Dreamdataagainst: Adobe Marketo Measure, Google Analytics 4, Keen Decision Systems, Nielsen Marketing Mix ModelingDreamdata, RockerboxChangedagainst: Adobe Analytics, Adobe Marketo Measure, Amplitude, Mixpanel, Northbeam, Triple WhaleAnalytic Partners, Google Analytics 4against: Adobe AnalyticsGoogle Analytics 4, Google Meridianagainst: Admetrics, Northbeam, Triple WhaleMeasured, Rockerboxagainst: Adobe Analytics, Adobe Marketo Measure, AppsFlyer, Branch, Google Analytics 4, Google LightweightMMM, HubSpot Marketing Hub, LeadsRx, Mutinex, PyMC-Marketing, Rockerbox
Three alternatives
Factors.ai, HockeyStack, RockerboxThree alternatives
Google Analytics 4, Google Meridian, Meta RobynSix alternatives
HubSpot Marketing Hub, Ipsos MMA, Northbeam, OptiMine, Rockerbox, Triple WhaleThree alternatives
Cometly, Matomo, Meta RobynThree alternatives
Analytic Partners, Northbeam, RecastMistral SmallDreamdata, MixModelerDreamdata, Factors.aiChangedagainst: Adobe Marketo MeasureAnalytic Partners, Google Analytics 4Google Analytics 4no first choicenothing named
One alternative
NorthbeamFour alternatives
Google Meridian, HockeyStack, HubSpot Marketing Hub, NorthbeamSeven alternatives
Adobe Analytics, Google Meridian, HubSpot Analytics, Ipsos MMA, Matomo, OptiMine, TransUnionFive alternatives
ActiveCampaign, Adobe Mix Modeler, HubSpot Analytics, Matomo, ScanmarQEDDeepSeek V4 FlashDreamdata, Rockerboxagainst: Analytic Partners, Nielsen Marketing Mix Modeling, OptiMineRuler AnalyticsChangedagainst: Analytic Partners, HockeyStack, Ipsos MMANorthbeam, Triple Whaleagainst: Ipsos MMAGoogle Analytics 4, Google Meridianagainst: Northbeam, PIMMS, SegmentStreamno first choiceagainst: Analytic Partners, Dreamdata, LeadsRx, Northbeam, Rockerbox
Three alternatives
HockeyStack, Marketing Evolution, MeasuredTwo alternatives
Dreamdata, Google MeridianSix alternatives
Admetrics, Analytic Partners, HockeyStack, Nielsen Marketing Mix Modeling, Recast, Ruler AnalyticsFive alternatives
Cassandra.app, Cometly, MCP Analytics, Rockerbox, Triple WhaleLlama 4 MaverickRockerboxImprovadoChangedCometlyGoogle Analytics 4no first choicenothing named
Three alternatives
Attribution, Dreamdata, NorthbeamFour alternatives
HockeyStack, Northbeam, Rockerbox, Ruler AnalyticsTwo alternatives
Analytic Partners, GuideflowQwen 3.7 FlashRockerboxagainst: NorthbeamDreamdataChangedagainst: Northbeam, Triple WhaleLifesight, Measured, RockerboxCometlyno first choiceagainst: LinkedIn Campaign Manager, TikTok Ads
One alternative
DreamdataThree alternatives
Cometly, HockeyStack, RockerboxTen alternatives
Adjust, AppsFlyer, Causal, Funnel, Fusion Analytics, Google Meridian, Lifelayout, Northbeam, Triple Whale, XSTATSFour alternatives
Admetrics, Google Analytics 4, HubSpot Marketing Hub, NorthbeamKimi K2Dreamdataagainst: HockeyStackDreamdata, Factors.aiChangedno first choiceCassandra, Google Analytics 4, Triple Whaleagainst: Dreamdata, Hyros, Northbeam, Wicked ReportsRecastagainst: Google, Google Analytics 4, Meta
Three alternatives
Factors.ai, Recast, RockerboxThree alternatives
HockeyStack, Northbeam, RecastNine alternatives
Analytic Partners, Ipsos MMA, Measured, Northbeam, OptiMine, Polar Analytics, Prescient AI, Rockerbox, Triple WhaleSix alternatives
Cometly, Google Meridian, Meta Robyn, Platform Native Tools, Recast, UsermavenFour alternatives
Haus, Measured, Northbeam, RockerboxGLM 4.7 FlashXDreamdataagainst: NorthbeamDreamdata, MeasuredChangedagainst: NorthbeamCassandra, Google MeridianGoogle Analytics 4, Google Meridianagainst: Cassandra, MixModelerno first choiceagainst: Adobe Analytics, Google Analytics 4, HubSpot Marketing Hub
Five alternatives
Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler AnalyticsThree alternatives
Adobe Marketo Measure, HubSpot Marketing Hub, RockerboxNine alternatives
Adobe Analytics, Analytic Partners, Google Analytics 4, HubSpot Marketing Analytics, Lifesight, Matomo, Meta Robyn, Nielsen Marketing Mix Modeling, Visual IQFour alternatives
Attribution, Dreamdata, Meta Robyn, Proof MMMMiniMax M2.5HockeyStack, Marketing Evolutionno first choiceChangedagainst: Northbeamno first choiceGoogle Analytics 4, MixModelerno first choicenothing named
Two alternatives
Adobe Marketo Measure, DreamdataTwo alternatives
HubSpot Marketing Hub, LifesightBold 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
Seventy-two 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 10:36 | yes | 16 | 11 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:50 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:34 | yes | 21 | 28 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:29 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:02 | yes | 23 | 16 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:46 | yes | 19 | 10 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:25 | yes | 24 | 25 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:52 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:47 | yes | 10 | 80 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:55 | yes | 16 | 25 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:19 | yes | 24 | 87 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:25 | yes | 10 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 14:13 | no | 0 | 3 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:48 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:48 | yes | 25 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:45 | yes | 18 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:45 | yes | 25 | 14 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:15 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:21 | yes | 25 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:54 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:07 | yes | 14 | 56 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:33 | yes | 25 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:45 | yes | 24 | 94 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:03 | yes | 15 | 41 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:47 | yes | 16 | 14 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:09 | yes | 8 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:32 | yes | 22 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:55 | yes | 19 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:48 | yes | 25 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:14 | yes | 10 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:26 | yes | 24 | 47 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:35 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:23 | yes | 17 | 51 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:38 | yes | 22 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:21 | yes | 21 | 102 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:06 | yes | 23 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:24 | yes | 18 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:55 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:09 | yes | 24 | 30 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:49 | yes | 19 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:15 | yes | 25 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:56 | yes | 13 | 7 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:28 | yes | 23 | 47 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:23 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:32 | yes | 5 | 37 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:32 | yes | 23 | 31 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:48 | yes | 25 | 35 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:14 | yes | 10 | 21 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:48 | no | 0 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:17 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:16 | yes | 13 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:42 | yes | 18 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:01 | yes | 18 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:36 | yes | 15 | 15 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:14 | yes | 23 | 51 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:54 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:58 | yes | 10 | 39 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:55 | yes | 24 | 29 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:12 | yes | 22 | 114 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:53 | yes | 10 | 43 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:07 | yes | 17 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:22 | yes | 6 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:33 | yes | 30 | 32 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:22 | yes | 21 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:32 | yes | 25 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:33 | yes | 10 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:12 | yes | 24 | 35 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:38 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:13 | yes | 10 | 65 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:55 | yes | 24 | 34 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:39 | yes | 24 | 65 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:10 | yes | 21 | 31 s |
Noise floor in this category
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
ShowHide
Claude Haiku 4.5
3 of 3 flipped
GPT-5.4 mini
2 of 3 flipped
Gemini 3.5 Flash
5 of 5 flipped
Perplexity Sonar
0 of 3 flipped
Grok 4.20
5 of 6 flipped
Mistral Small
4 of 5 flipped
DeepSeek V4 Flash
3 of 5 flipped
Llama 4 Maverick
2 of 4 flipped
Qwen 3.7 Flash
3 of 4 flipped
Kimi K2
4 of 4 flipped
GLM 4.7 FlashX
3 of 4 flipped
MiniMax M2.5
5 of 5 flipped
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
HubSpot read as HubSpot Marketing Hub
Keen read as Keen Decision Systems
Nielsen read as Nielsen Marketing Mix Modeling
Nielsen Marketing Mix read as Nielsen Marketing Mix Modeling
Unresolved, counted raw
Adetrics
Campaign Manager 360 Attribution Modeling Tool
Cassandra.app
Causal
DV Rockerbox
Fractal Analytics
Fusion Analytics
Google
Google Ads/GA4
Google Sheets/Looker Studio
Google's MMM Data Platform
Google’s free / low-cost attribution options
Heeet
HubSpot Marketing Analytics
Kontrol Media
Lifelayout
Measurable
Meta
Nielsen Catalina
Nielsen Gracenote
OWOX Analytics
Platform Native Tools (Meta Ads Manager, Google Ads)
Proof MMM
Quetra
Talentium
TripleWhale
TrueProfit
XSTATS
mbuzz
Discontinued, still offered
GLM 4.7 FlashX named Attribution 360 as mention on the comparative prompt. Discontinued.
GLM 4.7 FlashX named Visual IQ as alternative on the comparative prompt. Acquired by Nielsen 2017; standalone MTA discontinued.
Gemini 3.5 Flash named Google LightweightMMM as alternative on the negative prompt. Deprecated by Google in favor of Meridian.