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Customer intelligence and data science · September 2026 Edition

Fullstory vs mParticle

Zero of twelve models named Fullstory first on the direct prompt; zero named mParticle. Fullstory was named by ten of the twelve models and mParticle by seven and Fullstory carries 14 labels and mParticle 10, so the shares are not directly comparable.

Fullstory

accepted challenger

Named in four categories this edition.

mParticle

criticized 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 rate21%40%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.
Labels1410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fullstory reading right to left. Rank and label count are printed, not drawn.Google Analytics 4 vs Fullstory · Google Analytics 4 vs mParticle · Segment vs Fullstory

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 customer intelligence and data science page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
FullstoryFirst choices, of twelve modelsmParticle
Direct00
Paraphrase101 against Fullstory
Comparative10
Budget-constrained001 against Fullstory
Scale-constrained011 against mParticle
Negative001 against Fullstory · 3 against mParticle
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Fullstory and mParticle 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
Fullstory mParticle first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fullstory on the left and mParticle on the right.

The direct prompt

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

Neither was named

12 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Gainsight alternatives: Crunchbase, Demandbase
GPT-5.4 miniMicrosoft Dynamics 365 Customer Insights alternatives: 6sense, Adobe Real-Time CDP, Salesforce CRM Analytics
Gemini 3.5 FlashChurnZero alternatives: 6sense, Hightouch, HockeyStack, HubSpot Breeze Intelligence, Mixpanel, Oliv, PostHog, Vitally
Perplexity SonarSegment alternatives: ChurnZero, Contentsquare, Hightouch, Outreach, Tealium
Grok 4.1 FastSegment alternatives: Hightouch, ZoomInfo
Mistral SmallHightouch, Segment alternatives: Planhat, Tealium
DeepSeek V4 FlashVitally alternatives: Apollo.io, Planhat, Salesmotion
Llama 4 Maverickno first choice
Qwen 3.7 FlashGong, HubSpot, Mixpanel alternatives: Amplitude, Clari Copilot, Gainsight, Hightouch, PostHog, Segment, Totango
Kimi K2HubSpot Operations Hub + Breeze AI alternatives: 6sense, Amplitude, Avoma, Clari Copilot, Mixpanel
GLM 4.7 FlashXBuildBetter, Segment alternatives: Enterpret, HubSpot Marketing Hub, Salesforce Data Cloud
MiniMax M2.5HyperOrbit, Planhat alternatives: Chattermill, Thematic, Unwrap

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.
Fullstory0%#– of 10
mParticle0%#– of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Fullstory2%#7 of 14
mParticle2%#8 of 14
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Fullstory0%#– of 14
mParticle0%#– of 14
The full enterprise standing →

What the models said about Fullstory

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

“Most heatmap and session recording tools (like Hotjar or FullStory) can get very expensive.” Qwen 3.7 Flash · budget prompt · soft negative
“Purely B2C-oriented tools like Heap, FullStory... weaker at account-level B2B analysis” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Fullstory is the top choice for understanding users' behavior across digital platforms” Claude Haiku 4.5 · comparative prompt · first choice
“Start with FullStory if you are purely digital/service-focused.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Choose Contentsquare or FullStory if you care most about user experience diagnosis and session replay.” GPT-5.4 mini · comparative prompt · alternative

What the models said about mParticle

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

“Unreliable event UI, slow updates; Cannot link non-customer data into profiles” Kimi K2 · negative prompt · hard negative
“For unified marketing/customer journeys: mParticle, Lytics, or Twilio Segment.” Qwen 3.7 Flash · scale 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.