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Web analytics · November 2026 Edition

HubSpot Marketing Hub vs Plausible Analytics

Zero of fourteen models named HubSpot Marketing Hub first on the direct prompt; zero named Plausible Analytics. HubSpot Marketing Hub was named by ten of the fourteen models and Plausible Analytics by fourteen and HubSpot Marketing Hub carries 14 labels and Plausible Analytics 46, so the shares are not directly comparable.

HubSpot Marketing Hub

accepted challenger

By HubSpot, Cambridge, United States, founded 2006. Named in twenty-nine categories this edition.

Plausible Analytics

accepted challenger

Tartu, Estonia, founded 2018. Named in three categories this edition.

First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 15; printed, not drawn.
Labels1446A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HubSpot Marketing Hub reading right to left. Rank and label count are printed, not drawn.Google Analytics 4 was named alongside these two in nine of the fourteen direct answers. Google Analytics 4 vs HubSpot Marketing Hub · Google Analytics 4 vs Plausible Analytics · HubSpot Marketing Hub vs Mixpanel

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the web analytics page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
HubSpot Marketing HubFirst choices, of fourteen modelsPlausible Analytics
Direct00
Paraphrase40
Comparative00
Budget-constrained01
Scale-constrained00
Negative071 against HubSpot Marketing Hub
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where HubSpot Marketing Hub and Plausible Analytics stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
HubSpot Marketing Hub Plausible Analytics first choice named as an alternative argued againstblank: not namedEach cell is one answer, HubSpot Marketing Hub on the left and Plausible Analytics on the right.

The direct prompt

The plain question, one answer per model, grouped by where HubSpot Marketing Hub and Plausible Analytics stood in it.

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Google Analytics 4 alternatives: Adobe Analytics, Amplitude, HubSpot Marketing Hub, Mixpanel
Gemini 3.5 FlashDreamdata, HockeyStack alternatives: HubSpot Marketing Hub, PostHog
Perplexity SonarGoogle Analytics 4 alternatives: Amplitude, HockeyStack, Looker Studio, Matomo, Microsoft Clarity, Mixpanel, Plausible Analytics
Grok 4.20Mixpanel alternatives: Fathom, Matomo, Plausible Analytics, PostHog
Qwen 3.7 FlashDreamdata alternatives: HockeyStack, HubSpot Marketing Hub, Mixpanel
GPT-6 LunaGoogle Analytics 4 alternatives: Dreamdata, HockeyStack, Matomo, Plausible Analytics
Muse Glimmer 30BGoogle Analytics 4 alternatives: Amplitude, Dreamdata, HubSpot Marketing Hub, Matomo, Mixpanel, Piwik PRO Analytics Suite

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniGoogle Analytics 4 alternatives: Amplitude, Matomo, Mixpanel
Mistral SmallClics alternatives: Amplitude, Google Analytics 4 (GA4) with BigQuery, Heap, Matomo, Mixpanel, Piwik PRO Analytics Suite, PostHog
DeepSeek V4 FlashHockeyStack alternatives: Dreamdata, Google Analytics 4, Matomo
Llama 4 MaverickClics
Kimi K2Dreamdata alternatives: Google Analytics 4, HockeyStack
GLM 4.7 FlashXGoogle Analytics 4 alternatives: Adobe Analytics, Amplitude, Google Tag Manager, Heap, Microsoft Clarity, Mixpanel
MiniMax M2.5BigQuery, Google Analytics 4 alternatives: Dreamdata, HockeyStack

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Plausible Analytics leads by thirteen points.
Plausible Analytics15%#2 of 14
HubSpot Marketing Hub2%#8 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: HubSpot Marketing Hub leads at mid-market.
HubSpot Marketing Hub7%#2 of 15
Plausible Analytics2%#5 of 15
The full mid-market standing →
Enterprise
HubSpot Marketing Hub leads by two points.
HubSpot Marketing Hub2%#– of 12
Plausible Analytics0%#11 of 12
The full enterprise standing →

What the models said about HubSpot Marketing Hub

No label in this category carried a quote.

What the models said about Plausible Analytics

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Privacy-oriented tools like Plausible and Matomo are often chosen because they emphasize data minimization, fewer cookies, and more control.” GPT-5.4 mini · negative prompt · first choice
“Plausible or Pirsch: Lightweight, open-source, cookieless, and EU-hosted for GDPR compliance.” Grok 4.20 · negative prompt · first choice
“alternatives like Plausible Analytics, Fathom, and Matomo have driven significant adoption” Claude Haiku 4.5 · negative prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.