Customer intelligence and data science
Asked as “customer analytics and intelligence platform”, and as “customer journey analytics tool”, on behalf of a mid-market B2B software company. 50 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
08
09
10
11
12
13
14Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Google Analytics 416%
Google Analytics 416%02Segment10%
Segment10%03Amplitude6%
Amplitude6%04PostHog6%
PostHog6%05Mixpanel4%
Mixpanel4%06Hightouch2%
Hightouch2%07Fullstory2%
Fullstory2%08mParticle2%
mParticle2%09Pendo0%
Pendo0%10Hotjar0%
Hotjar0%11Contentsquare0%
Contentsquare0%12Qualtrics0%
Qualtrics0%13Tealium0%
Tealium0%14Heap0%
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.
Mixpanel19%
8 of 43 labels negative · 8 of 6 models · 4 hard negative
“🔴 Mixpanel (HIGH RISK) - November 2025 security breach... Still operating but has lost trust among major enterprise customers” GLM 4.7 FlashX, negative prompt
Google Analytics 429%
9 of 31 labels negative · 7 of 6 models · 4 hard negative
“Multiple EU countries (France, Austria) have ruled it violates GDPR due to US data transfers” Kimi K2, negative prompt
Heap33%
5 of 15 labels negative · 5 of 6 models · 2 hard negative
“Who should avoid them: Teams that don't have a product manager or analyst willing to spend hours defining, cleaning, and filtering the captured data.” Gemini 3.5 Flash, negative prompt
Segment32%
7 of 22 labels negative · 5 of 6 models · 2 hard negative
“Cost escalates quickly with MTU-based pricing; Identity resolution inconsistencies reported” Kimi K2, 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
21 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. 187 links across 93 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 · Zendesk6 answers · 8 citations · 2 models
vendor site · Cometly6 answers · 7 citations · 2 models
vendor site · Userpilot6 answers · 6 citations · 2 models
vendor site · Gartner5 answers · 7 citations · 2 models
vendor site · Mixpanel5 answers · 5 citations · 3 models
4 answers · 6 citations · 2 models
vendor site · Amplitude4 answers · 5 citations · 2 models
4 answers · 4 citations · 2 models
vendor site · Contentsquare4 answers · 4 citations · 2 models
vendor site · Improvado3 answers · 7 citations · 2 models
3 answers · 5 citations · 2 models
3 answers · 4 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.
5 answers · 2 models
5 answers · 2 models
4 answers · 2 models
4 answers · 3 models
3 answers · 2 models
3 answers · 2 models
3 answers · 2 models
3 answers · 2 models
3 answers · 2 models
2 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 customer analytics and intelligence platform for a mid-market B2B company?”Paraphrase“Which customer journey analytics tool would you recommend to a mid-sized B2B company?”Comparative“What are the top customer analytics platforms and how do they differ?”Budget-constrained“What is the best customer analytics and intelligence platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a customer analytics and intelligence platform. What should we look at?”Negative“Which customer 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 |
|---|
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
Adobe read as Adobe Customer Journey Analytics
Unresolved, counted raw
Anodot
Audiense
CSG
Conveo
HubSpot Business Suite
HubSpot Operations Hub + Breeze AI
HyperOrbit
Microsoft Customer Data Platform
MonkeyLearn
Plivo CX
Qualtrics CoreXM / XM Platform
SaaSHero
Salesforce
Salesforce Advertising Studio
Salesforce CRM Analytics
Salesforce Quip
Small Business Analytics
Smaply
Tableau with Customer Insights
Discontinued, still offered
No shut-down product was recommended here.