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. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.
Standing · first-choice share
19%
Contested · Google Analytics 4 16%
19Dreamdata16Google Analytics 409HubSpot Marketing Hub56others
19% of first choices, contested.
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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the eight 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 two times of 44. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
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
02
03
04
05F06
07
08
09
10
11
12
13
14
15
16
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18Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Dreamdata19%
Dreamdata19%02Google Analytics 416%
Google Analytics 416%03Ruler Analytics9%
Ruler Analytics9%04HubSpot Marketing Hub9%
HubSpot Marketing Hub9%05Cometly4%
Cometly4%06Forecastr4%
07Triple Whale4%
Triple Whale4%08Factors.ai4%
Factors.ai4%09HockeyStack4%
HockeyStack4%10Google Meridian4%
Google Meridian4%11Windsor.ai0%
Windsor.ai0%12WhatConverts0%
WhatConverts0%13Meta Robyn0%
Meta Robyn0%14Recast0%
Recast0%15Northbeam0%
Northbeam0%16SegmentStream0%
SegmentStream0%17Measured0%
Measured0%18Rockerbox0%
Rockerbox0%What they warned about
Two of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, 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.
Northbeam44%
14 of 32 labels negative · 8 of 12 models · 2 hard negative
“Triple Whale, Northbeam, Rockerbox - These are specifically called out in industry research as having the most trust complaints among small businesses” Mistral Small, negative prompt
Triple Whale23%
8 of 35 labels negative · 7 of 12 models · 3 hard negative
“platforms that small businesses should avoid or be extremely cautious about... Triple Whale, Northbeam, Rockerbox - These are specifically called out ... having the most trust complaints” Mistral Small, negative prompt
Rockerbox67%
10 of 15 labels negative · 6 of 12 models · 3 hard negative
“Triple Whale, Northbeam, Rockerbox - These are specifically called out in industry research as having the most trust complaints among small businesses” Mistral Small, negative prompt
Hyros86%
6 of 7 labels negative · 6 of 12 models · 2 hard negative
“Opaque pricing that scales with revenue ($500–$5,000+/mo), steep onboarding requiring developer resources, overkill for businesses under $25K/month ad spend” Kimi K2, negative prompt
What they cite
Four of the twelve models returned a source list in this edition: four return the pages they cited.
Sites the answers cite
20 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 320 links across 109 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.
vendor site · Cometly14 answers · 32 citations · 3 models
vendor site · HockeyStack12 answers · 20 citations · 3 models
vendor site · Improvado11 answers · 14 citations · 3 models
vendor site · Ruler Analytics8 answers · 11 citations · 3 models
vendor site · Prescient AI8 answers · 8 citations · 3 models
vendor site · Reddit7 answers · 8 citations · 2 models
7 answers · 7 citations · 2 models
6 answers · 8 citations · 2 models
vendor site · SegmentStream6 answers · 8 citations · 3 models
vendor site · Funnel6 answers · 6 citations · 4 models
vendor site · MCP Analytics6 answers · 6 citations · 2 models
vendor site · Admetrics5 answers · 5 citations · 2 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.
12 answers · 3 models
8 answers · 3 models
7 answers · 2 models
5 answers · 2 models
5 answers · 3 models
5 answers · 2 models
5 answers · 2 models
5 answers · 1 model
5 answers · 3 models
4 answers · 1 model
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 | 19% | 151 | 1,000 | 6 | 4,088 | 20 | ||
| Google analytics.google.com Google Analytics 4 16% | 16% | 473 | 9,900 | 348 | ||||
| Ruler Analytics ruleranalytics.com | 9% | 59 | 140 | 0 | 3,552 | 1 | 6 | |
| HubSpot parent site HubSpot Marketing Hub 9% | 9% | 991 | 368,000 | 9,776 | ||||
| MixModeler mixmodeler.com | 7% | 7 | ||||||
| Cometly cometly.com | 4% | 41 | 60,500 | 10 | 26,585 | 0 | 1 | |
| Forecastr | 4% | 880 | 0 | |||||
| Triple Whale triplewhale.com | 4% | 70 | 8,100 | 147 | 11,483 | $335 | 62 | |
| Factors.ai factors.ai | 4% | 54 | 590 | 1 | 8,319 | 31 | ||
| HockeyStack hockeystack.com | 4% | 96 | 3,600 | 46 | 3,061 | 15 |
Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (cometly.com, funnel.io, improvado.io, reddit.com, 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 4.5Ruler Analyticsno first choiceChangedNorthbeamGoogle Analytics 4no first choiceagainst: Adobe Analytics, Google Analytics 360, HubSpot Marketing Hub, Ruler Analytics
One alternative
Google Analytics 4Four alternatives
Fibbler, Funnel, Ruler Analytics, Triple WhaleFour alternatives
CallRail, Cometly, Ruler Analytics, Triple WhaleGPT-5.4 miniDreamdataagainst: Google Meridian, HubSpot attribution reportsHubSpot Attribution ReportingChangedGoogle MeridianGoogle Analytics 4, Google\u2019s Meridianagainst: Northbeamno first choiceagainst: Adobe Analytics, Adobe Marketo Measure, Triple Whale, impact.com
One alternative
RockerboxThree alternatives
Dreamdata, Northbeam, Triple WhaleThree alternatives
Funnel, Google Ads / GA4 attribution, RockerboxGemini 3.5 FlashRuler AnalyticsRuler AnalyticsHeldTriple Whaleagainst: Google Meridian, Meta RobynCassandra.appDreamdata, HockeyStackagainst: Google Meridian, Meta Robynagainst: Adobe Marketo Measure, Analytic Partners, Google Ads Conversion Tracking, Google Meridian, HockeyStack, Hyros, Measured, Meta Robyn, Mutinex, Nielsen Marketing Mix Modeling, Northbeam, Recast, Salesforce Marketing Cloud Intelligence, TikTok Ads
Three alternatives
Dreamdata, HockeyStack, RevSureSix alternatives
CaliberMind, Dreamdata, Google Meridian, HockeyStack, HubSpot Marketing Hub, Meta RobynFour alternatives
Cometly, Northbeam, Rockerbox, SellforteFive alternatives
Google Meridian, Meta Robyn, Northbeam, Ruler Analytics, Triple WhaleFive alternatives
Measured, Northbeam, Recast, RoiVenue, Triple WhalePerplexity SonarHubSpot Marketing Hubagainst: SegmentStreamUsermavenChangedDreamdata, HubSpot Marketing Hubagainst: NorthbeamGoogle Analytics 4against: Admetrics, SegmentStreamno first choiceagainst: 6sense, Adobe Marketo Measure, HubSpot Marketing Hub, Hyros, Improvado, Northbeam, Rockerbox, Terminus
Two alternatives
Dreamdata, Factors.aiTwo alternatives
Dreamdata, HubSpot Marketing HubFive alternatives
Cometly, Funnel, Ruler Analytics, SegmentStream, Triple WhaleOne alternative
CometlyGrok 4.20Dreamdataagainst: Measured, Northbeam, Recast, RockerboxGoogle Analytics 4, HubSpot Marketing Hub, MixModelerChangedagainst: Dreamdata, Recast, Ruler AnalyticsForecastr, Google Meridian, Triple Whaleagainst: Measured, SellforteGoogle Analytics 4against: Forecastr, Google Meridian, Northbeam, PyMC-Marketingno first choiceagainst: Google Meridian, Measured, Meta Robyn, Mutinexagainst: Adobe Marketo Measure, Adobe Mix Modeler, Analytic Partners, Circana, HubSpot Marketing Hub, Hyros, Ipsos MMA, Kantar, Measured, Nielsen Marketing Mix Modeling, Northbeam, Rockerbox, Triple Whale
Four alternatives
Google Analytics 4, HubSpot Marketing Hub, Ruler Analytics, Windsor.aiThree alternatives
Attribution App, Google Meridian, Meta RobynFour alternatives
Cometly, Google Analytics 4, Recast, Ruler AnalyticsFour alternatives
Cometly, Ruler Analytics, Triple Whale, Windsor.aiEight alternatives
Cometly, HockeyStack, Improvado, Northbeam, Recast, Ruler Analytics, ThoughtMetric, Triple WhaleMistral SmallDreamdata, Keen Decision SystemsDreamdata, FosphaChangedFactors.ai, ForecastrMixModeler, Ruler Analyticsno first choiceagainst: Haus, Hyros, Northbeam, Phia, Recast, Rockerbox, Triple Whale, Windsor.ai
Five alternatives
Cometly, HockeyStack, HubSpot Marketing Hub, Ruler Analytics, SellforteTwo alternatives
HubSpot Marketing Hub, WhatConvertsSix alternatives
Cometly, Google Meridian, Lifesight, Recast, Ruler Analytics, SegmentStreamThree alternatives
Forecastr, Google Analytics 4, WhatConvertsDeepSeek V4 FlashFactors.ai, Ruler Analyticsagainst: Analitic Partners, Google Meridian, Keen Decision Systems, Meta Robyn, Northbeam, RockerboxFactors.ai, HubSpot Marketing HubChangedagainst: Measured, Northbeam, Recast, RockerboxForecastr, Google Analytics 4, WhatConvertsagainst: Cassandra, Google Meridian, Meta Robyn, Northbeam, PyMC-Marketing, Recast, SellforteSourceLoopagainst: Cassandrano first choiceagainst: Google Meridian, Meta Robynagainst: Adobe Mix Modeler, Analytic Partners, Circana, Cometly, Demandbase, Ekimetrics, Google Meridian, Hyros, Improvado, Ipsos MMA, Kantar, Meta Robyn, Nielsen Marketing Mix Modeling, Northbeam, Rockerbox, Ruler Analytics, SegmentStream, Triple Whale, Wicked Reports
Five alternatives
Cometly, Dreamdata, Forecastr, HubSpot Marketing Hub, Wicked ReportsSeven alternatives
Dreamdata, Forecastr, Google Analytics 4, HockeyStack, MixModeler, Ruler Analytics, SegmentStreamFour alternatives
CallRail, Ruler Analytics, Triple Whale, Windsor.aiFour alternatives
Google Meridian, Meta Robyn, Triple Whale, Windsor.aiEight alternatives
Cometly, Dreamdata, Factors.ai, HockeyStack, HubSpot Marketing Hub, Ruler Analytics, ThoughtMetric, Triple WhaleLlama 4 MaverickForecastrno first choiceChangedGoogle Analytics 4ForecastrCometly, Fibbler, ThoughtMetric, Triple Whaleagainst: Cometly
One alternative
CometlyThree alternatives
Northbeam, RoiVenue, Triple WhaleOne alternative
wetracked.ioFive alternatives
Dreamdata, Factors.ai, HockeyStack, HubSpot Marketing Hub, Ruler AnalyticsQwen 3.7 FlashDreamdataagainst: TerminusHubSpot Marketing HubChangedSupermetricsGoogle Analytics 4, Triple Whaleno first choiceagainst: AppsFlyeragainst: Adobe Analytics, Google Marketing Platform, Kevel, Looker Studio, Meta Default Attribution, SAP, Salesforce Advertising Cloud, Supermetrics
Four alternatives
CallRail, Cometly, HubSpot Marketing Hub, WhatConvertsThree alternatives
Northbeam, Supermetrics, Zeno.aiFour alternatives
Casra.ai / Zephyr, Datalytics, Gong, HubSpot Marketing HubFive alternatives
AttributeIQ, Attribution App, Forecastr, MCP Analytics, Windsor.aiThree alternatives
NorthSummit, Northbeam, Triple WhaleKimi K2Dreamdataagainst: RecastDreamdataHeldagainst: Google Meridian, Meta RobynTriple Whale, Windsor.aiGoogle Analytics 4, MixModeleragainst: Triple Whaleno first choiceagainst: Google Meridian, Meta Robyn, PyMC-Marketingagainst: Adobe Mix Modeler, Analytic Partners, Circana, Ekimetrics, Google Meridian, Hyros, Ipsos MMA, Kantar, Meta Robyn, SegmentStream, Triple Whale, Wicked Reports
Five alternatives
ActiveCampaign, Google Analytics 4, HubSpot Marketing Hub, Usermaven, WhatConvertsThree alternatives
Factors.ai, Fibbler, Ruler AnalyticsSeven alternatives
Cassandra, Cometly, Forecastr, Fospha, Lifesight, Northbeam, RecastSix alternatives
Attribution App, Cometly, Forecastr, Google Meridian, Meta Robyn, WhatConvertsSeven alternatives
Dreamdata, Factors.ai, HockeyStack, Northbeam, Prescient AI, Recast, Triple WhaleGLM 4.7 FlashXDreamdataagainst: Demandbase, RockerboxAttribution App, Google Analytics 4Changedagainst: HubSpot Marketing Hubno first choiceGoogle Analytics 4, Google Meridian, Usermavenagainst: Recastno first choiceagainst: Haus, Lifesight, Measured, Northbeam, Rockerbox, Triple Whale, WorkMagic
Seven alternatives
CallRail, Factors.ai, HubSpot Marketing Hub, Lifesight, Northbeam, WhatConverts, Windsor.aiFour alternatives
Dreamdata, Google Meridian, Meta Robyn, Ruler AnalyticsTen alternatives
Cometly, Dreamdata, Forecastr, Google Meridian, HubSpot Marketing Hub, Northbeam, Recast, Rockerbox, Triple Whale, Windsor.aiFive alternatives
Cassandra, Meta Robyn, PyMC-Marketing, WhatConverts, Windsor.aiMiniMax M2.5HubSpot Marketing Hub, MixModeleragainst: Adobe Marketo MeasureDreamdataChangedagainst: Lifesight, SellforteGoogle Analytics 4, Windsor.aiagainst: Adobe Marketo MeasureGoogle MeridianCometly, Dreamdata, HockeyStackagainst: Adobe Analytics, Adobe Marketo Measure, Dreamdata, Google Analytics 360, HubSpot Marketing Hub, Improvado, LeadsRx, Northbeam, Rockerbox, Triple Whale
Five alternatives
Cometly, Marketo Attribution, Recast, SegmentStream, UsermavenFour alternatives
Fibbler, Google Analytics 4, WhatConverts, Windsor.aiOne alternative
ForecastrThree alternatives
Keen Decision Systems, Meta Robyn, PyMC-MarketingTwo alternatives
Mutinex, 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.
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 | 2026-09-15 04:29 | yes | 14 | 10 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-14 23:14 | yes | 5 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 03:35 | yes | 23 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-15 01:53 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 04:07 | yes | 0 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 04:32 | yes | 0 | 9 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 04:12 | yes | 0 | 20 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 01:30 | yes | 0 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 02:25 | yes | 0 | 35 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 04:01 | yes | 0 | 62 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-14 22:55 | yes | 0 | 19 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 01:39 | yes | 0 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-14 23:26 | no | 0 | 3 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 01:38 | no | 0 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-14 23:12 | yes | 27 | 31 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-15 03:14 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 02:00 | yes | 0 | 12 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 04:09 | yes | 0 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-15 02:30 | yes | 0 | 53 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 00:52 | yes | 0 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-14 23:09 | no | 0 | 49 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-14 23:05 | yes | 0 | 34 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 04:56 | yes | 0 | 46 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 03:17 | yes | 0 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-14 23:55 | yes | 17 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 02:05 | yes | 5 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-14 23:03 | yes | 22 | 34 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-15 02:09 | yes | 19 | 9 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 01:09 | yes | 0 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 03:28 | yes | 0 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 04:54 | yes | 0 | 23 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-14 23:05 | yes | 0 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 03:01 | no | 0 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 04:47 | yes | 0 | 58 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 02:54 | yes | 0 | 58 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 02:57 | yes | 0 | 18 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 01:40 | yes | 14 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 00:49 | yes | 3 | 9 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 00:29 | yes | 26 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-14 23:47 | yes | 19 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 05:00 | yes | 0 | 12 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 04:47 | yes | 0 | 8 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-14 23:16 | yes | 0 | 44 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 03:18 | yes | 0 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 02:38 | yes | 0 | 58 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-14 23:02 | yes | 0 | 32 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 03:19 | yes | 0 | 27 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 05:04 | yes | 0 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 01:22 | no | 0 | 9 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 03:53 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 04:16 | yes | 12 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-15 02:21 | yes | 20 | 7 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 01:10 | yes | 0 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 00:49 | yes | 0 | 14 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-15 02:25 | yes | 0 | 64 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 03:10 | yes | 0 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 02:33 | no | 0 | 39 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 03:56 | yes | 0 | 53 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-14 23:51 | yes | 0 | 43 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 02:07 | yes | 0 | 14 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 01:14 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 02:24 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 02:48 | yes | 15 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-15 02:45 | yes | 17 | 7 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-14 23:09 | yes | 0 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 04:48 | yes | 0 | 10 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-15 00:01 | yes | 0 | 60 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-14 23:45 | yes | 0 | 7 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 00:28 | no | 0 | 44 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 04:10 | yes | 0 | 52 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 03:24 | yes | 0 | 207 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 00:37 | yes | 0 | 39 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
HubSpot read as HubSpot Marketing Hub
HubSpot Marketing 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 (Visual IQ) read as Nielsen Marketing Mix Modeling
Ruler read as Ruler Analytics
Salesforce read as Salesforce Sales Cloud
Unresolved, counted raw
Analitic Partners
Analytical Partners
Casra.ai / Zephyr
Cassandra.app
Cassandre
Datalytics
Fairing
Google Ads / GA4 attribution
Google Ads Conversion Tracking
Google\u2019s Meridian
HubSpot Attribution Reporting
HubSpot attribution reports
Incremental Marketing
KnoCommerce
Marketo Attribution
Meta Default Attribution
MixModeler.com
NorthSummit
Platform-Native Analytics (Meta Ads Manager, Google Ads, etc.)
PyMC Marketing
Roadie
SAP
Salesforce Advertising Cloud
Seeda
Zeno.ai
wetracked.io
Discontinued, still offered
Gemini 3.5 Flash named Google LightweightMMM as mention on the negative prompt. Deprecated by Google in favor of Meridian.