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. 25 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
24%
Contested · Mixpanel 16%
24Amplitude16Mixpanel16PostHog44others
24% of first choices, contested.
The 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 rateLabelsQuadrantSince September 2026
04
Google Analytics 4 Lab in the set8%40%15criticized challengernewNew since September 2026: not ranked then, 8% now.
Google Analytics 4 Lab in the set8%40%15criticized challengernewNew since September 2026: not ranked then, 8% now.Show the one product at 0%, ordered by negative rate
The floor is 12 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. How the floor is measured
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 3.1 Pro is in the set. On the four share prompts that model made it the first choice zero times of 4; the other five models two times of 20. Lab treatment is defined on the method page; the row is marked, not excluded.
All fifteen head-to-head pages: the top six products, each against each
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
0304
05
06
07Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Amplitude24%
Amplitude24%02Mixpanel16%
Mixpanel16%03PostHog16%
PostHog16%04Google Analytics 48%
Google Analytics 48%05Pendo4%
Pendo4%06Segment4%
Segment4%07Heap0%
Heap0%What they warned about
Zero of six models held their first choice under the paraphrase. Claude Opus 5, Claude Opus 4.8, GPT-6 Astra, GPT-5.6 Sol, Gemini 3.1 Pro and Perplexity Sonar Pro 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.
Google Analytics 440%
6 of 15 labels negative · 6 of 6 models · 2 hard negative
“Avoid relying on standard GA4 alone for long-term, granular customer-history analysis.” GPT-6 Astra, negative prompt
Gainsight CS57%
4 of 7 labels negative · 4 of 6 models
“Historically it was too expensive and complex for the mid-market, but their "Essentials" package makes their best-in-class health scoring... accessible” Gemini 3.1 Pro, direct prompt
Fullstory38%
3 of 8 labels negative · 3 of 6 models · 1 hard negative
“I’d avoid deploying it on sensitive customer screens until capture settings are tested.” GPT-6 Astra, negative prompt
Heap25%
3 of 12 labels negative · 3 of 6 models
“Heap autocaptures activity wherever its SDK is installed... Some attribute redaction happens after data leaves the browser unless browser-side controls are implemented.” GPT-5.6 Sol, negative prompt
What they cite
Six of the six models returned a source list in this edition: six return the pages they cited.
Sites the answers cite
30 of 36 answers in this category came back with a source list, from 6 of 6 models: citations where the model returns them, or the search results it consulted. 468 links across 247 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
vendor site · Amplitude16 answers · 24 citations · 4 models
vendor site · Statsig10 answers · 10 citations · 4 models
vendor site · Userpilot8 answers · 11 citations · 4 models
vendor site · Zendesk8 answers · 10 citations · 3 models
vendor site · Mixpanel8 answers · 8 citations · 4 models
vendor site · Guideflow6 answers · 7 citations · 3 models
vendor site · AmplifAI6 answers · 6 citations · 2 models
5 answers · 8 citations · 4 models
vendor site · PostHog5 answers · 6 citations · 3 models
5 answers · 6 citations · 3 models
vendor site · Contentsquare5 answers · 5 citations · 3 models
5 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.
7 answers · 3 models
6 answers · 2 models
6 answers · 3 models
4 answers · 2 models
4 answers · 2 models
4 answers · 2 models
4 answers · 2 models
3 answers · 2 models
3 answers · 2 models
3 answers · 2 models
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 customer analytics and intelligence platform”, “customer analytics and intelligence 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 |
|---|---|---|---|---|---|---|---|---|
| Amplitude amplitude.com | 24% | 418 | 74,000 | 5,691 | 373,273 | $207 | 27 | |
| Mixpanel mixpanel.com | 16% | 467 | 12,100 | 458 | 20,284 | $458 | 11 | |
| PostHog posthog.com | 16% | 420 | 33,100 | 271 | 25,936 | 120 | ||
| ChurnZero churnzero.com | 12% | 237 | 2,900 | 39 | 11,534 | $2,558 | 19 | |
| HockeyStack hockeystack.com | 8% | 96 | 3,600 | 46 | 3,061 | 15 | 7 | |
| Google analytics.google.com Google Analytics 4 8% | 8% | 473 | 9,900 | 348 | ||||
| Pendo pendo.io | 4% | 409 | 12,100 | 761 | 19,185 | $3,609 | 93 | |
| Twilio segment.com Segment 4% | 4% | 460 | 135,000 | 4,343 | 9,086 | 0 | ||
| Dreamdata dreamdata.io | 4% | 151 | 1,000 | 6 | 4,088 | 20 | ||
| HubSpot parent site HubSpot Marketing Hub 4%, HubSpot CRM 0% | 4% | 991 | 368,000 | 9,776 |
Google's top ten for the two searches hold 16 sites; 2 of them are among the sites the models cited here (thecxlead.com, zendesk.com). The first result for “best customer analytics and intelligence platform” is kayako.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 customer analytics and intelligence platform for a mid-market B2B software company?”Paraphrase“Which customer journey analytics tool would you recommend to a mid-sized B2B software 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 5Amplitude, Mixpanelagainst: Gainsight CSAmplitudeChangedagainst: Adobe Customer Journey Analytics, Quantum MetricAmplitudeagainst: Adobe Real-Time CDP, Google Analytics 4, Salesforce Data CloudPostHogagainst: Adobe Real-Time CDP, Hotjar, RudderStack, Segmentno first choicenothing named
Ten alternatives
BigQuery, Census, Databricks, Hightouch, Pendo, Planhat, PostHog, Snowflake, Vitally, dbtSix alternatives
Dreamdata, Heap, HockeyStack, HubSpot Marketing Hub, Mixpanel, SegmentSix alternatives
Heap, Hightouch, Kubit, Mixpanel, NetSpring, PostHogSix alternatives
Amplitude, Google Analytics 4, Matomo, Metabase, Microsoft Clarity, MixpanelOne alternative
dbtClaude Opus 4.8Amplitude, Mixpanelagainst: Gainsight CSAmplitude, PendoChangedAmplitude, MixpanelAmplitude, Google Analytics 4, Mixpanelno first choiceagainst: Amplitude, Google Analytics 4, Heap, Medallia Experience Cloud, Mixpanel, NICE CXone, Qualtrics CustomerXM
Five alternatives
ChurnZero, Pendo, RudderStack, Segment, VitallyThree alternatives
Heap, HubSpot Marketing Hub, MixpanelFive alternatives
Fullstory, Google Analytics 4, Heap, Hotjar, PendoFour alternatives
Looker Studio, Microsoft Clarity, Microsoft Power BI, Zoho AnalyticsGPT-6 AstraChurnZeroHockeyStackChangedAmplitude, Mixpanelagainst: SegmentPostHogno first choiceagainst: Amplitude, Fullstory, Google Analytics 4, Heap, Mixpanel
Three alternatives
Amplitude, Gainsight CS + Staircase AI, VitallyTwo alternatives
Amplitude, DreamdataFive alternatives
Adobe Customer Journey Analytics, Contentsquare, Google Analytics 4, Pendo, PostHogThree alternatives
HubSpot CRM, Microsoft Clarity, MixpanelGPT-5.6 SolChurnZeroagainst: Gainsight CSAmplitudeChangedAmplitudePostHogno first choiceagainst: Adobe Customer Journey Analytics, Salesforce Data Cloudagainst: Adobe Analytics, Fullstory, Google Analytics 4, Gravy Analytics / Venntel, Heap, Hotjar, Kochava
Three alternatives
Amplitude Accounts, Pendo, VitallyFour alternatives
Fullstory, Pendo, PostHog, WoopraEight alternatives
Adobe Customer Journey Analytics, Contentsquare, Google Analytics 4, Heap, Mixpanel, Pendo, Salesforce Data Cloud, SegmentSix alternatives
Amplitude, Google Analytics 4, HubSpot CRM, Looker Studio, Metabase, MixpanelGemini 3.1 ProChurnZeroagainst: Gainsight CSDreamdata, HockeyStackChangedAmplitude, MixpanelPostHogno first choiceagainst: Adobe Analytics, Fullstory, Google Analytics 4, Hotjar, Microsoft Clarity, Oracle CX, Salesforce Marketing Cloud
Six alternatives
Amplitude, Catalyst, Koala, Pendo, Pocus, TotangoFour alternatives
Amplitude, Factors.ai, HubSpot Customer Journey Analytics, MixpanelFive alternatives
Fullstory, Google Analytics 4, Heap, Pendo, PostHogSix alternatives
Amplitude, Apollo.io, Microsoft Clarity, Mixpanel, Origami, User IntuitionPerplexity Sonar ProSegmentHubSpot Marketing HubChangedAmplitude, MixpanelGoogle Analytics 4, Mixpanelno first choiceagainst: Adobe Real-Time CDP, Google Analytics 4, Hightouch, Klaviyo, Looker, Microsoft Clarity, Segment, Sigma, Tableau
Three alternatives
Chattermill, Hightouch, TealiumOne alternative
Adobe Customer Journey AnalyticsSeven alternatives
Fullstory, Google Analytics 4, Hotjar, InMoment, Pendo, Qualtrics CustomerXM, SegmentThree alternatives
Featurebase, Survicate, Zonka FeedbackBold 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.
Thirty-six rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Opus 5 | claude-opus-5 | 2026-09-09 20:29 | yes | 21 | 66 s |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 20:30 | no | 0 | 18 s |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-09 20:32 | yes | 4 | 37 s |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 20:34 | yes | 5 | 37 s |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:30 | yes | 2 | 39 s |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-09 20:30 | yes | 20 | 5 s |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-09 20:36 | yes | 20 | 54 s |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 20:37 | no | 0 | 19 s |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-09 20:38 | yes | 4 | 32 s |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 20:40 | yes | 6 | 41 s |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:32 | no | 0 | 26 s |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-09 20:37 | yes | 20 | 6 s |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-09 20:49 | yes | 36 | 392 s |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 20:53 | yes | 39 | 53 s |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-09 20:55 | yes | 8 | 49 s |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 20:56 | yes | 9 | 64 s |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 18:45 | yes | 7 | 39 s |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-09 20:53 | yes | 20 | 10 s |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 20:58 | yes | 39 | 61 s |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 21:00 | yes | 37 | 42 s |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 21:01 | yes | 5 | 24 s |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 21:02 | yes | 6 | 23 s |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 18:46 | yes | 4 | 30 s |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 21:00 | yes | 20 | 5 s |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 21:04 | no | 0 | 37 s |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 21:05 | no | 0 | 23 s |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 21:07 | yes | 5 | 56 s |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 21:10 | yes | 5 | 69 s |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 18:48 | no | 0 | 27 s |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-10 19:13 | yes | 20 | 11 s |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-09 21:12 | yes | 25 | 54 s |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 21:15 | yes | 42 | 48 s |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-09 21:17 | yes | 5 | 30 s |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 21:19 | yes | 8 | 58 s |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 18:49 | yes | 6 | 41 s |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-09 21:15 | yes | 20 | 8 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Gainsight read as Gainsight CS
Gainsight (Essentials tier) read as Gainsight CS
HubSpot read as HubSpot CRM
Medallia read as Medallia Experience Cloud
Plausible read as Plausible Analytics
Qualtrics read as Qualtrics CustomerXM
Twilio read as Segment
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.