Product analytics
Asked as “product analytics platform”, and as “product analytics tool”, on behalf of a mid-market B2B software company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
01The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
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
05
06
07
08Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Amplitude30%
Amplitude30%02Mixpanel28%
Mixpanel28%03PostHog21%
PostHog21%04Pendo11%
Pendo11%05LogRocket2%
LogRocket2%06Google Analytics 42%
Google Analytics 42%07Fullstory0%
Fullstory0%08Heap0%
Heap0%02What they warned about
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.
Amplitude21%
13 of 62 labels negative · 11 of 6 models · 1 hard negative
“Consistently rated as the most expensive option at scale... A poor fit for cost-sensitive teams” Kimi K2, negative prompt
Heap37%
15 of 41 labels negative · 10 of 6 models · 4 hard negative
“here are the product analytics platforms you should be cautious about or avoid:... **Heap** (by Contentsquare) - **Data inaccuracy**” GLM 4.7 FlashX, negative prompt
Google Analytics 461%
14 of 23 labels negative · 9 of 6 models · 8 hard negative
“**Avoid GA4** for EU-based products or if you need product-level insights (it's marketing-focused)” MiniMax M2.5, negative prompt
Mixpanel17%
10 of 60 labels negative · 9 of 6 models · 3 hard negative
“Highest Caution: Mixpanel ... When to avoid: If handling sensitive user data or EU users” Grok 4.1 Fast, negative prompt
03What they cite
Citations exist only for the models that return a source list: four of the six in this edition.
Sites the answers cite
19 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 183 links across 83 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.
vendor site · Amplitude10 answers · 14 citations · 3 models
10 answers · 11 citations · 2 models
vendor site · Userpilot8 answers · 8 citations · 2 models
vendor site · Contentsquare6 answers · 6 citations · 2 models
6 answers · 6 citations · 2 models
5 answers · 5 citations · 2 models
5 answers · 5 citations · 2 models
vendor site · Gainsight5 answers · 5 citations · 2 models
vendor site · Pendo5 answers · 5 citations · 2 models
5 answers · 5 citations · 2 models
4 answers · 8 citations · 1 model
vendor site · Mixpanel4 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.
10 answers · 2 models
9 answers · 3 models
7 answers · 2 models
6 answers · 2 models
5 answers · 2 models
5 answers · 2 models
5 answers · 2 models
5 answers · 2 models
5 answers · 2 models
4 answers · 2 models
04How 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.
ModelDirect“What is the best product analytics platform for a mid-market B2B company?”Paraphrase“Which product analytics tool would you recommend to a mid-sized B2B company?”Comparative“What are the top product analytics platforms and how do they differ?”Budget-constrained“What is the best product analytics platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a product analytics platform. What should we look at?”Negative“Which product analytics platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
05The 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
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
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.
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
Category-scoped readings
None. Every name in this category resolved on its own.
Unresolved, counted raw
Dataroid
Lucky Orange
Mouseflow
PostHog EU/self-hosted
Discontinued, still offered
No shut-down product was recommended here.