Segment vs Fullstory
Four of twelve models named Segment first on the direct prompt; zero named Fullstory. Segment was named by nine of the twelve models and Fullstory by ten and Segment carries 22 labels and Fullstory 14, so the shares are not directly comparable.
By Twilio, San Francisco, United States, founded 2008. Named in nine categories this edition.
Named in four categories this edition.
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
SegmentFirst choices, of twelve modelsFullstory
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 |
Segment Fullstory first choice named as an alternative argued againstblank: not namedEach cell is one answer, Segment on the left and Fullstory on the right.The direct prompt
Segment first, Fullstory not the choice
4 of 12 modelsFullstory was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 of 12 modelsThe answer made no first choice from these two in this category.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
Segment0%#9 of 10Fullstory0%#– of 10Segment0%#12 of 14Fullstory0%#– of 14What the models said about Segment
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Cost escalates quickly with MTU-based pricing; Identity resolution inconsistencies reported” Kimi K2 · negative prompt · hard negative
“Do not buy a CDP unless you already have analytics tools” Gemini 3.5 Flash · negative prompt · hard negative
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
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.