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Web analytics · October 2026 Edition

Matomo vs PostHog

Zero of fourteen models named Matomo first on the direct prompt; one named PostHog. Matomo was named by fourteen of the fourteen models and PostHog by eleven and Matomo carries 54 labels and PostHog 18, so the shares are not directly comparable.

Matomo

accepted challenger

New Zealand, founded 2007. Named in seven categories this edition.

PostHog

accepted challenger

Named in seven categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 14; printed, not drawn.
Labels5418A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Matomo reading right to left. Rank and label count are printed, not drawn.Google Analytics 4 was named alongside these two in thirteen of the fourteen direct answers. Google Analytics 4 vs Matomo · Google Analytics 4 vs PostHog · Amplitude vs Matomo

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.
MatomoFirst choices, of fourteen modelsPostHog
Direct01
Paraphrase10
Comparative10
Budget-constrained001 against PostHog
Scale-constrained00
Negative602 against Matomo
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 Matomo and PostHog stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
GPT-6 Luna
Muse Glimmer 30B
Matomo PostHog first choice named as an alternative argued againstblank: not namedEach cell is one answer, Matomo on the left and PostHog on the right.

The direct prompt

The plain question, one answer per model, grouped by where Matomo and PostHog stood in it.

PostHog first, Matomo an alternative

1 of 14 modelsMatomo was named in the answer but not as the choice, or not at all.
GPT-6 LunaGoogle Analytics 4, PostHog alternatives: Amplitude, Matomo

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Google Analytics 4 alternatives: Coffee, Microsoft Clarity, Mixpanel, PostHog
GPT-5.4 miniGoogle Analytics 4 alternatives: Matomo, Piwik PRO
Perplexity SonarGoogle Analytics 4 alternatives: HubSpot Marketing Hub, Matomo, Piwik PRO, Similarweb
DeepSeek V4 FlashGoogle Analytics 4 alternatives: Amplitude, Dreamdata, Factors.ai, Fathom, Matomo, Mixpanel, Piwik PRO, Plausible Analytics, Sona
Qwen 3.7 FlashDealfront, Sona alternatives: Amplitude, Google Analytics 4, Matomo, Mixpanel, Piwik PRO
GLM 4.7 FlashXGoogle Analytics 4 alternatives: Adobe Marketo Measure, Dreamdata, Matomo, Ruler Analytics
MiniMax M2.5BigQuery, Google Analytics 4, Mixpanel alternatives: Amplitude, Heap, Matomo
Muse Glimmer 30BGoogle Analytics 4 alternatives: Amplitude, BigQuery, Dealfront, Matomo, Mixpanel, Piwik PRO, PostHog, Similarweb, Sona, ZoomInfo WebSights

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashFactors.ai alternatives: Dealfront, Dreamdata, Fathom Analytics, HockeyStack, HubSpot Marketing Hub, Plausible Analytics
Grok 4.1 FastGoogle Analytics 4 alternatives: Amplitude, Mixpanel
Mistral SmallGoogle Analytics 4 alternatives: Contentsquare, Glassbox, Mixpanel
Llama 4 MaverickGoogle Analytics 4 alternatives: Contentsquare, Glassbox, Mixpanel
Kimi K2BigQuery, Google Analytics 4 alternatives: Amplitude, Attribution, Mixpanel, Ruler Analytics

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
Level: the same share of first choices.
Matomo2%#4 of 13
PostHog2%#7 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Matomo2%#7 of 14
PostHog2%#8 of 14
The full mid-market standing →
Enterprise
Matomo leads by two points.
Matomo2%#6 of 11
PostHog0%#– of 11
The full enterprise standing →

What the models said about Matomo

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

“Self-Hosted Matomo - SECURITY VULNERABILITIES ... 126GB database allegedly sold on cybercrime forum” Kimi K2 · negative prompt · soft negative
“Verdict: Avoid the Self-Hosted Version in Europe” Qwen 3.7 Flash · negative prompt · soft negative
“privacy-focused / self-hosted alternatives such as Matomo, Fathom Analytics, Plausible and similar cookieless trackers are the ones repeatedly highlighted for 100% data ownership” Muse Glimmer 30B · negative prompt · first choice
“Safer alternatives (privacy-focused, often cookieless, self-hostable, EU-compliant): Matomo (open-source, full data ownership)” Grok 4.1 Fast · negative prompt · first choice
“Examples include platforms like Matomo, Fathom, Plausible, and others that prioritize privacy by design.” MiniMax M2.5 · negative prompt · first choice

What the models said about PostHog

No label in this category carried a quote.

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.