Mixpanel

Analytics that drive decisions

Attribution & BI
★★★★☆ 4.4
2009 Founded
201-500 Employees
29,000+ Customers
San Francisco, CA, USA Headquarters

Quick Facts

Pricing Model
freemium
Company Type
private

About Mixpanel

Mixpanel is a leading event-based analytics platform that helps companies measure what matters, make decisions fast, and build better digital products through data. Instead of relying on page views or static dashboards, Mixpanel tracks granular events and user properties across web and mobile applications, enabling teams to analyze how and why people engage, convert, and retain in real time. Its self-serve interface is designed so that product managers, marketers, data analysts, and engineers can explore data without writing SQL or waiting on BI teams.

Founded in 2009 by Suhail Doshi and Tim Trefren and incubated by Y Combinator, Mixpanel was an early pioneer of product analytics, shifting the market from vanity metrics to actionable event-based insights. Over the years the company has expanded beyond core product analytics into web analytics, mobile analytics, multi-touch attribution, and, more recently, integrated session replay, heatmaps, and experimentation with feature flagging. In November 2021, Mixpanel secured a $200M Series C at a $1.05B valuation led by Bain Capital Tech Opportunities, bringing its total funding to about $277M. In September 2025, Jen Taylor was appointed CEO to lead the next phase of growth.

Today Mixpanel serves more than 29,000 companies and over 8,000 paying customers globally, including high-profile brands such as Uber, Netflix, Pinterest, OpenAI, CNN, sweetgreen, DocuSign, Yelp, and Lemonade. The platform is used across industries—from B2B SaaS and fintech to media, ecommerce, and consumer apps—to power use cases like onboarding optimization, paywall and pricing tests, engagement and retention analysis, and campaign attribution. Deep integrations with data warehouses (Snowflake, BigQuery, Databricks, Redshift), customer data platforms (Twilio Segment, RudderStack), and marketing tools let customers turn Mixpanel into a central behavioral analytics layer in their stack.

Mixpanel positions itself as an AI-powered "data clarity" platform, with capabilities like Spark AI query builder, Metric Trees, Warehouse Connectors, and integrated experiments and feature flags to help teams go from insight to action in a single workflow. The company emphasizes privacy and security, maintaining SOC 2 Type II and ISO 27001 certifications and offering HIPAA tools and EU/US data residency options. In late 2025, Mixpanel was also at the center of a well-publicized third-party analytics incident affecting OpenAI and CoinTracker; although only limited analytics metadata was exposed and not sensitive credentials or content, the episode has prompted Mixpanel to further tighten its security posture and vendor review processes.

Key Features

Event-based product analytics - Track granular user actions and properties across web, mobile, and backend services with real-time ingestion and querying.

Self-serve reporting - Build Insights, Funnels, Retention, and Flows reports to explore behavior, conversion, and user paths without SQL.

Behavioral cohorts - Create dynamic audiences based on actions and attributes for lifecycle analysis, targeting, and personalization.

Session Replay & Heatmaps - Watch user sessions and see click heatmaps to connect qualitative behavior with quantitative metrics and funnels.

Metric Trees - Map high-level business KPIs to underlying product metrics and drivers, aligning teams around a shared metrics hierarchy.

Experiments & Feature Flagging - Run A/B tests and ship features safely with integrated feature flags tied directly to Mixpanel metrics.

Multi-touch attribution & marketing analytics - Analyze campaign performance and attribution across channels using event-based marketing reports.

Account-level analytics - Understand B2B account behavior with account-level funnels, cohorts, and usage metrics for account-based GTM.

Monitoring, alerts & anomaly detection - Set KPI alerts, detect anomalies automatically, and investigate root causes with built-in monitoring.

Warehouse Connectors - Sync data bi-directionally with Snowflake, BigQuery, Databricks, Redshift, and Postgres to unify product and business data.

Data Pipelines - Export Mixpanel events to cloud storage and warehouses like AWS S3, Azure Blob, and Google Cloud Storage for downstream BI.

Data governance & privacy - Use a data dictionary, event owners, verified data, role-based permissions, and privacy APIs to keep data clean and compliant.

Spark AI query builder - Use AI-assisted query generation and suggestions to explore data and surface insights faster.

Templates & starter dashboards - Deploy pre-built templates for company KPIs, ecommerce, marketing KPIs, and web analytics to get value quickly.

SDKs & APIs - Instrument Mixpanel across web (JS), iOS, Android, and server-side languages with ingestion, query, and export APIs.

Pros & Cons

👍 Pros

  • Powerful, flexible event-based analytics with rich reports (Insights, Funnels, Retention, Flows) that provide deep visibility into user behavior.
  • Intuitive, modern UI that makes it relatively easy for non-technical teams to build dashboards and answer product questions quickly.
  • Real-time or near real-time data ingestion and fast query performance, enabling teams to monitor KPIs, cohorts, and user journeys on a daily basis.
  • Extensive integrations and SDKs that connect to mobile apps, data warehouses, CDPs, CRMs, and marketing tools, reducing data silos.
  • Highly customizable segmentation and cohorting that allow granular breakdowns by behavior, demographics, device, geography, and more.

👎 Cons

  • Steep learning curve and complex initial setup; getting the event taxonomy right often requires significant engineering and analytics effort.
  • Implementation and ongoing data hygiene can be challenging, and poor instrumentation can lead to messy, hard-to-trust reports that are difficult to fix later.
  • Pricing can become expensive as event volume and feature usage grow, which some smaller or high-volume apps find hard to justify compared with alternatives.
  • Some users report performance slowdowns, clutter, or confusion in large, long-lived projects, and feel the UI can be overwhelming for new users.
  • Free-plan users in particular report limited access to human support and documentation gaps when trying to troubleshoot advanced use cases or raw data exports.

User Reviews

G2
4.6
★★★★★
Capterra
4.5
★★★★★
TrustRadius
8.4
★★★★★

Integrations

Salesforce Sales Cloud Salesforce Marketing Cloud HubSpot Twilio Segment RudderStack Snowflake Google BigQuery Google Analytics Google Ads Google Tag Manager Shopify WooCommerce WordPress Zapier Slack Braze Intercom Firebase FullStory Tableau Microsoft Power BI

Best For

Company Size

smb mid-market enterprise

Industries

SaaS Technology Ecommerce Media & Entertainment Financial Services Healthcare

Use Cases

Product usage and feature adoption analytics Conversion funnel and checkout optimization User retention and cohort analysis Marketing attribution and campaign performance tracking A/B testing and feature rollout analysis Self-serve BI for product and growth teams

FAQ

What is Mixpanel?

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Mixpanel is a cloud-based product analytics platform that tracks granular user events across web, mobile, and backend systems so teams can understand how people use their digital products. It provides self-serve reports for funnels, retention, cohorts, and user flows, along with capabilities such as Session Replay, Heatmaps, multi-touch marketing attribution, experimentation, and feature flagging. Product, growth, data, and marketing teams use Mixpanel to answer questions about acquisition, activation, engagement, and retention without needing to write SQL or rely solely on a BI team.

How much does Mixpanel cost?

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Mixpanel offers a Free plan that is free forever and includes up to 1M monthly events, 5 saved reports per seat, 10K monthly session replays, and unlimited seats. The Growth plan starts at $0 with the first 1M events free and then charges approximately $0.28 per 1,000 events beyond that, with volume discounts as you scale. The Enterprise plan provides unlimited monthly events, advanced governance and security, and premium support on custom pricing. Eligible startups (under 5 years old and with less than $8M in funding) can receive their first year free on a Startup plan.

What are the main features of Mixpanel?

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Core Mixpanel features include event-based tracking; self-serve Insights, Funnels, Retention, and Flows reports; behavioral cohorts; multi-touch attribution and campaign reporting; account-level analytics for B2B; Session Replay and Heatmaps; Metric Trees; monitoring, alerts, and anomaly detection; experimentation and feature flagging; data governance tools; Warehouse Connectors and Data Pipelines for Snowflake, BigQuery, Databricks, Redshift, and cloud storage; and extensive SDKs and APIs for web, iOS, Android, and backend systems.

Who are Mixpanel's main competitors?

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Mixpanel's primary competitors in product and digital analytics include Amplitude, Heap, PostHog, Google Analytics 4, Pendo, FullStory, and Adobe Analytics. Amplitude and Heap are closest in pure product analytics; PostHog offers an open-source, self-hosted alternative; GA4 focuses on free web and campaign analytics; and Pendo and FullStory emphasize in-app guidance and digital experience. Many teams compare two or three of these alongside Mixpanel when selecting a stack.

Is Mixpanel good for small businesses?

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Yes. Mixpanel's free tier and Startup Program make it accessible to small businesses and early-stage startups that want deeper insights than Google Analytics alone can provide. For small teams with a single web or mobile product, Mixpanel can centralize funnels, retention, and user-journey analysis and help democratize data across product, marketing, and customer success. The main caveats for very small businesses are the implementation effort required to plan and instrument an event schema and the fact that costs can rise as event volume and complexity grow. For simple, low-traffic sites that only need basic pageview analytics, a lighter-weight or purely free tool may be sufficient.

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