FullStoryvsGoogle Analytics
How 10 AI models weigh FullStory against Google Analytics on the 1 buying question where both came up.
- FullStory
- 96%of answers named it
- Google Analytics
- 72%of answers named it
- Placed higher
- 29–11times FullStory vs Google Analytics, over 40 model rankings that listed either
- Models leaning
- 6–0toward FullStory vs Google Analytics; 4 even
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | FullStory | Google Analytics | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 2–2 | Even |
| GPT-6 Luna | 92% | 67% | 2–2 | Even |
| Gemini 4 Argon | 100% | 67% | 4–0 | FullStory |
| Qwen 3.8 Flash | 100% | 75% | 3–1 | FullStory |
| DeepSeek V4 Pro | 100% | 25% | 4–0 | FullStory |
| GLM-5.3 | 83% | 75% | 2–2 | Even |
| Kimi K3 | 100% | 75% | 4–0 | FullStory |
| MiniMax M3 | 100% | 67% | 2–2 | Even |
| Mistral Large 4 | 83% | 75% | 3–1 | FullStory |
| Nemotron 3 Ultra | 100% | 92% | 3–1 | FullStory |
What the models say about FullStory
One reason per model, from the shared questions
- Claude Haiku 5.5
Session replay tied to quantitative analytics makes diagnosing UX friction very efficient.
- GPT-6 Luna
Best-in-class session replay and behavioral signals for investigating user friction.
- Gemini 4 Argon
Pairs Autocapture product metrics with industry-leading session replay to diagnose user friction.
- Qwen 3.8 Flash
Strong session replay and performance context complementing core analytics.
- DeepSeek V4 Pro
Session replay and frustration signals give rich qualitative insights.
- GLM-5.3
Excellent session replay and frustration signals for UX insights.
- Kimi K3
Pairs quantitative analytics with session replay for debugging real user friction.
- MiniMax M3
Session replay adds deep product usage insight.
- Mistral Large 4
Exceptional session replay paired with analytics for deep qualitative product understanding.
- Nemotron 3 Ultra
Session replay and analytics for understanding user behavior visually
What the models say about Google Analytics
One reason per model, from the shared questions
- Claude Haiku 5.5
Ubiquitous and free, adequate for web funnels, though less suited to deep product analysis.
- GPT-6 Luna
Widely adopted, accessible web analytics with useful product measurement capabilities.
- Gemini 4 Argon
Ubiquitous, free event-based tracking that bridges marketing attribution and basic product usage.
- Qwen 3.8 Flash
Ubiquitous, free baseline for web traffic though less product-centric.
- DeepSeek V4 Pro
Free, ubiquitous, and its funnel exploration reports are solid for basic needs.
- GLM-5.3
Free, ubiquitous web analytics; deep tracking of acquisition funnels.
- Kimi K3
Free, ubiquitous baseline with GA4 event model, though less product-depth focused.
- MiniMax M3
Free, widely adopted, solid funnel reporting across web and app.
- Mistral Large 4
Free and ubiquitous, though less precise for product-specific behavioral analysis.
- Nemotron 3 Ultra
Free web/app analytics with event-based model and BigQuery export
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | FullStory | Google Analytics |
|---|---|---|
| Best product analytics tools | 96% #6 | 72% #7 |
| Best SEO tools | · | 33% #11 |
| Best error tracking tools | 1% #27 | · |