🚀 Mixpanel MCP
Mixpanel AI. 실시간 제품 인텔리전스 시스템을 소개합니다. 자세히 알아보기 →
🚀 Mixpanel MCP
Mixpanel AI. 실시간 제품 인텔리전스 시스템을 소개합니다. 자세히 알아보기 →
Mixpanel vs. Statsig
Mixpanel vs. Statsig
OpenAI has handed Statsig over to Amplitude. But the team that built Statsig, the team you bought from and worked with, is gone. If you're deciding what comes next, the question isn't whether to move. It's whether you do it on your timeline or Amplitude's.
OpenAI has handed Statsig over to Amplitude. But the team that built Statsig, the team you bought from and worked with, is gone. If you're deciding what comes next, the question isn't whether to move. It's whether you do it on your timeline or Amplitude's.
Whose roadmap are you on?
Whose roadmap are you on?
Amplitude has promised to maintain Statsig, but the integration and sunset is coming eventually. It’s worth asking where your money is going.
Amplitude has promised to maintain Statsig, but the integration and sunset is coming eventually. It’s worth asking where your money is going.
Everything you need, programmable
Everything you need, programmable
Use Mixpanel Headless to generate data apps and create deterministic automations for your experiments and flags, all using your coding agent of choice.
Use Mixpanel Headless to generate data apps and create deterministic automations for your experiments and flags, all using your coding agent of choice.
One platform, one data model
One platform, one data model
Analytics, session replay, experiments, and flags all share the same events, cohorts, and metrics, so there's nothing to reconcile across vendors.
Analytics, session replay, experiments, and flags all share the same events, cohorts, and metrics, so there's nothing to reconcile across vendors.
진행 방식을 확인하세요
Mixpanel에서 실험을 실행하고 분석하는 방법을 투어로 살펴보세요.
Mixpanel에서 실험을 실행하고 분석하는 방법을 투어로 살펴보세요.
*up to 12 months of remaining value
Work how you want to work
In code, via MCP, and through built-in agents, so your whole team works from the same data without sacrificing their workflow.
Headless programability: Every report, cohort, experiment, and alert is a callable Python object, giving agents and scripts full programmatic access to your product data.
Experiments and insights connected end-to-end: When you spot an issue, you can immediately test and measure improvements with built-in experiments, all without switching tools.
AI agents for your most pressing problems: Automate experiment setup, evaluation, root cause analysis, replay clustering, and more, plus an Onboarding Agent to get Mixpanel into your codebase fast.
Work how you want to work
In code, via MCP, and through built-in agents, so your whole team works from the same data without sacrificing their workflow.
Headless programability: Every report, cohort, experiment, and alert is a callable Python object, giving agents and scripts full programmatic access to your product data.
Experiments and insights connected end-to-end: When you spot an issue, you can immediately test and measure improvements with built-in experiments, all without switching tools.
AI agents for your most pressing problems: Automate experiment setup, evaluation, root cause analysis, replay clustering, and more, plus an Onboarding Agent to get Mixpanel into your codebase fast.
Work how you want to work
In code, via MCP, and through built-in agents, so your whole team works from the same data without sacrificing their workflow.
Headless programability: Every report, cohort, experiment, and alert is a callable Python object, giving agents and scripts full programmatic access to your product data.
Experiments and insights connected end-to-end: When you spot an issue, you can immediately test and measure improvements with built-in experiments, all without switching tools.
AI agents for your most pressing problems: Automate experiment setup, evaluation, root cause analysis, replay clustering, and more, plus an Onboarding Agent to get Mixpanel into your codebase fast.
Work how you want to work
In code, via MCP, and through built-in agents, so your whole team works from the same data without sacrificing their workflow.
Headless programability: Every report, cohort, experiment, and alert is a callable Python object, giving agents and scripts full programmatic access to your product data.
Experiments and insights connected end-to-end: When you spot an issue, you can immediately test and measure improvements with built-in experiments, all without switching tools.
AI agents for your most pressing problems: Automate experiment setup, evaluation, root cause analysis, replay clustering, and more, plus an Onboarding Agent to get Mixpanel into your codebase fast.
Experiment and rollout with confidence and ease
Flexible, powerful, and AI-driven testing workflows, now connected to the rest of your product development process.
Target precisely with behavioral cohorts: Go beyond attribute and environment based targeting with experiment groups from real user actions and event history, so your targeting reflects how people actually use your product — not just the attributes passed at request time.
Get results you trust with statistical rigor: CUPED, Winsorization, Bonferroni, Benjamini-Hochberg, Retrospective AA, and SRM monitoring, all quickly visible via an Diagnostics Tab so you can catch problems before they affect results.
Stay in control with developer-grade flag management: OpenFeature support for every SDK, per-flag permissions, SDK persistence, dynamic config, and OpenAPI specs give engineering teams the control they expect, without vendor lock-in.
Experiment and rollout with confidence and ease
Flexible, powerful, and AI-driven testing workflows, now connected to the rest of your product development process.
Target precisely with behavioral cohorts: Go beyond attribute and environment based targeting with experiment groups from real user actions and event history, so your targeting reflects how people actually use your product — not just the attributes passed at request time.
Get results you trust with statistical rigor: CUPED, Winsorization, Bonferroni, Benjamini-Hochberg, Retrospective AA, and SRM monitoring, all quickly visible via an Diagnostics Tab so you can catch problems before they affect results.
Stay in control with developer-grade flag management: OpenFeature support for every SDK, per-flag permissions, SDK persistence, dynamic config, and OpenAPI specs give engineering teams the control they expect, without vendor lock-in.
Experiment and rollout with confidence and ease
Flexible, powerful, and AI-driven testing workflows, now connected to the rest of your product development process.
Target precisely with behavioral cohorts: Go beyond attribute and environment based targeting with experiment groups from real user actions and event history, so your targeting reflects how people actually use your product — not just the attributes passed at request time.
Get results you trust with statistical rigor: CUPED, Winsorization, Bonferroni, Benjamini-Hochberg, Retrospective AA, and SRM monitoring, all quickly visible via an Diagnostics Tab so you can catch problems before they affect results.
Stay in control with developer-grade flag management: OpenFeature support for every SDK, per-flag permissions, SDK persistence, dynamic config, and OpenAPI specs give engineering teams the control they expect, without vendor lock-in.
Experiment and rollout with confidence and ease
Flexible, powerful, and AI-driven testing workflows, now connected to the rest of your product development process.
Target precisely with behavioral cohorts: Go beyond attribute and environment based targeting with experiment groups from real user actions and event history, so your targeting reflects how people actually use your product — not just the attributes passed at request time.
Get results you trust with statistical rigor: CUPED, Winsorization, Bonferroni, Benjamini-Hochberg, Retrospective AA, and SRM monitoring, all quickly visible via an Diagnostics Tab so you can catch problems before they affect results.
Stay in control with developer-grade flag management: OpenFeature support for every SDK, per-flag permissions, SDK persistence, dynamic config, and OpenAPI specs give engineering teams the control they expect, without vendor lock-in.
Make bets that move the business
Every part of Mixpanel is designed to close the gap between data and action, with the infrastructure and community to make it stick.
See the big picture with Metric Trees and Context Engine: Connect metrics and experiment results to business goals, and teach Mixpanel your business goals so AI queries get more accurate the more you use them.
Move at lightning speed with Arb and mirror mode: Get answers in seconds on a flexible data model that updates retroactively, and mirror your warehouse data with connectors for BigQuery, Databricks, Redshift, Postgres, and Snowflake.
Community and support: Don’t go it alone with on-demand learning via Mixpanel University, the largest community of product builders, and support that actually cares.
Make bets that move the business
Every part of Mixpanel is designed to close the gap between data and action, with the infrastructure and community to make it stick.
See the big picture with Metric Trees and Context Engine: Connect metrics and experiment results to business goals, and teach Mixpanel your business goals so AI queries get more accurate the more you use them.
Move at lightning speed with Arb and mirror mode: Get answers in seconds on a flexible data model that updates retroactively, and mirror your warehouse data with connectors for BigQuery, Databricks, Redshift, Postgres, and Snowflake.
Community and support: Don’t go it alone with on-demand learning via Mixpanel University, the largest community of product builders, and support that actually cares.
Make bets that move the business
Every part of Mixpanel is designed to close the gap between data and action, with the infrastructure and community to make it stick.
See the big picture with Metric Trees and Context Engine: Connect metrics and experiment results to business goals, and teach Mixpanel your business goals so AI queries get more accurate the more you use them.
Move at lightning speed with Arb and mirror mode: Get answers in seconds on a flexible data model that updates retroactively, and mirror your warehouse data with connectors for BigQuery, Databricks, Redshift, Postgres, and Snowflake.
Community and support: Don’t go it alone with on-demand learning via Mixpanel University, the largest community of product builders, and support that actually cares.
Make bets that move the business
Every part of Mixpanel is designed to close the gap between data and action, with the infrastructure and community to make it stick.
See the big picture with Metric Trees and Context Engine: Connect metrics and experiment results to business goals, and teach Mixpanel your business goals so AI queries get more accurate the more you use them.
Move at lightning speed with Arb and mirror mode: Get answers in seconds on a flexible data model that updates retroactively, and mirror your warehouse data with connectors for BigQuery, Databricks, Redshift, Postgres, and Snowflake.
Community and support: Don’t go it alone with on-demand learning via Mixpanel University, the largest community of product builders, and support that actually cares.
Mixpanel vs Statsig
Experiments (A/B/n)
Feature flags
Product analytics
Web analytics
Session replay
Web autocapture
Group/account analytics
Mobile session replay
Heatmaps
Full platform MCP Server support (analytics, experiments, flags, replay)
Open source SDK (Headless)
Custom roles & granular permissions
Verified metrics and cohorts
Metric Trees
Borrowed properties
Flexible data model (retroactive updates)
Warehouse Connectors (mirror mode)
Amazon Redshift Connector
Warehouse-native deployment
No-code / visual web editor
Install with AI
기능
Mixpanel vs Statsig
Experiments (A/B/n)
Feature flags
Product analytics
Web analytics
Session replay
Web autocapture
Group/account analytics
Mobile session replay
Heatmaps
Full platform MCP Server support (analytics, experiments, flags, replay)
Open source SDK (Headless)
Custom roles & granular permissions
Verified metrics and cohorts
Metric Trees
Borrowed properties
Flexible data model (retroactive updates)
Warehouse Connectors (mirror mode)
Amazon Redshift Connector
Warehouse-native deployment
No-code / visual web editor
Install with AI
기능
Mixpanel vs Statsig
Experiments (A/B/n)
Feature flags
Product analytics
Web analytics
Session replay
Web autocapture
Group/account analytics
Mobile session replay
Heatmaps
Full platform MCP Server support (analytics, experiments, flags, replay)
Open source SDK (Headless)
Custom roles & granular permissions
Verified metrics and cohorts
Metric Trees
Borrowed properties
Flexible data model (retroactive updates)
Warehouse Connectors (mirror mode)
Amazon Redshift Connector
Warehouse-native deployment
No-code / visual web editor
Install with AI
기능
Product analytics
Web analytics
Session replay
Web autocapture
Group/account analytics
Mobile session replay
Heatmaps
Full platform MCP Server support (analytics, experiments, flags, replay)
Open source SDK (Headless)
Custom roles & granular permissions
Verified metrics and cohorts
Metric Trees
Borrowed properties
Flexible data model (retroactive updates)
Warehouse Connectors (mirror mode)
Amazon Redshift Connector
Warehouse-native deployment
No-code / visual web editor
Install with AI
Feature flags
Experiments (A/B/n)
지금 성장에 시동을 거세요
지금 성장에 시동을 거세요
웨비나
데이터를 영향력으로 전환하기
이 웨비나를 시청해 Zola와 같은 선도 기업이 데이터 수집과 비즈니스 혁신 사이의 간극을 메우는 데 사용하는 전략 프레임워크를 알아보세요.
동영상
More ships, more problems? How Mixpanel is building experiments for the AI Era
Mixpanel 메트릭 트리가 데이터에 콘텍스트를 더해, 모든 이니셔티브, 목표, 메트릭을 성장 방향이 명확하게 드러나는 하나의 큰 그림으로 묶어내는 방식을 확인하세요.
eBook
북극성 지표를 넘어
메트릭 트리로 성장 전략을 운영에 적용하고, 지속적이고 측정 가능한 성장을 만드는 프레임워크를 구축하는 방법을 확인해 보세요.