# Mixpanel vs Gainsight: which do AI models recommend for customer intel, October 2026

GTM AI Recommendation Index, October 2026 Edition, Customer intelligence and data science. Zero of fourteen models named Mixpanel first on the direct prompt; three named Gainsight. Page: https://gtm-ai-index.com/gtm-data/customer-intelligence-and-data-science/mixpanel-vs-gainsight/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Mixpanel | 10% | #3 of 10 | 9% | 53 | 14 of 14 |
| Gainsight | 6% | #6 of 10 | 25% | 12 | 11 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: gainsight first (first choices: Factors.ai, Gainsight) (alternatives: ChurnZero, Hightouch, HubSpot's Smart CRM, Salesforce Data Cloud)
- Qwen 3.7 Flash: gainsight first (first choices: Gainsight) (alternatives: 6sense, Pendo, Segment)
- Muse Glimmer 30B: gainsight first (first choices: Gainsight, HubSpot Service Hub) (alternatives: HockeyStack, Microsoft Power BI)
- Gemini 3.5 Flash: neither first, one named (first choices: ChurnZero, Vitally) (alternatives: Dreamdata, HockeyStack, June, Mixpanel, Skalin, Velaris)
- Perplexity Sonar: neither first, one named (first choices: Segment) (alternatives: Gainsight, Hightouch)
- DeepSeek V4 Flash: neither first, one named (first choices: Amplitude) (alternatives: BlueConic, HockeyStack, Lerno, Mixpanel, Segment)
- MiniMax M2.5: neither first, one named (first choices: Amplitude) (alternatives: Heap, Mixpanel, Segment)
- GPT-6 Luna: neither first, one named (first choices: Vitally) (alternatives: Mixpanel, RudderStack, Segment)
- GPT-5.4 mini: neither named (first choices: Hightouch) (alternatives: ActionIQ, Salesforce, Tealium)
- Grok 4.1 Fast: neither named (first choices: Segment) (alternatives: BlueConic, Hightouch, HubSpot CRM)
- Mistral Small: neither named (first choices: Segment) (alternatives: Chorus by ZoomInfo, Enterpret, Salesforce Data Cloud, ZoomInfo)
- Llama 4 Maverick: neither named
- Kimi K2: neither named (first choices: ChurnZero) (alternatives: 6sense, Amplitude, Totango)
- GLM 4.7 FlashX: neither named (first choices: Amplitude, HockeyStack) (alternatives: Chattermill, Qualtrics)

## What the models said about Mixpanel

- "Suffered a security incident (smishing attack) in November 2025... OpenAI dropped them post-breach. Be wary if data security and transparency are priorities." (Grok 4.1 Fast, negative prompt, hard negative)
- "Choose Amplitude or Mixpanel if you're a product team focused on understanding feature adoption, funnels, and retention." (DeepSeek V4 Flash, comparative prompt, first choice)
- "| Mixpanel | Product/behavioral analytics | Free tier; $28/mo+ | Funnels, retention; easy for SaaS/ecomm |" (Grok 4.1 Fast, scale prompt, first choice)

## What the models said about Gainsight

- "you cannot afford the 6-month implementation times, heavy coding requirements, or dedicated operations teams required by enterprise-level beasts like Gainsight or Adobe Real-Time CDP" (Gemini 3.5 Flash, direct prompt, soft negative)
- "Worth evaluating if you need a broader customer-retention platform and have the resources to implement and manage it." (GPT-6 Luna, direct prompt, soft negative)
- "The most frequently cited all-around options for mid-market B2B are HubSpot's customer platform ... and Gainsight for customer-success / revenue intelligence." (Muse Glimmer 30B, direct prompt, first choice)
- "If your primary goal is managing existing relationships, reducing churn, and upselling, Gainsight is the industry standard for B2B companies." (Qwen 3.7 Flash, direct prompt, first choice)
- "Factors.ai or Gainsight paired with your existing CRM is a strong starting point" (Claude Haiku 4.5, direct prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.