What is Amplitude
Amplitude is a leading product analytics platform that helps companies understand user behavior, measure engagement, and drive growth through data-driven decisions. It provides real-time insights into how users interact with digital products across web and mobile.
Why choose Amplitude
Behavioral Analytics
Track every user action across web and mobile with event-based analytics. Build behavioral cohorts, analyze conversion funnels, and understand the complete user journey without writing SQL.
Self-Service Exploration
Product managers, marketers, and analysts can explore data independently with an intuitive UI. Pre-built chart types, drag-and-drop segmentation, and saved queries reduce dependency on data teams.
Real-Time Data Processing
Events are available for analysis within seconds of being captured. Monitor feature launches, A/B test results, and campaign performance as they happen, enabling faster decision-making.
Advanced Experimentation
Built-in A/B testing and feature flagging capabilities allow teams to run experiments, measure statistical significance, and roll out features incrementally based on actual user behavior data.
Scalable Data Infrastructure
Amplitude handles billions of events per day with a proprietary columnar database optimized for behavioral queries. Integrates with data warehouses like Snowflake and BigQuery for a unified analytics layer.
Modern data stack
Amplitude Alternatives
How We Use Amplitude
Explore how we've helped businesses unlock the full potential of their data with Amplitude.
How a Series B SaaS Built Experimentation Infrastructure from Zero
A $12M ARR SaaS platform had zero product analytics and no A/B testing capability. We built their experimentation infrastructure from scratch — going from 0 to 15 experiments per month, improving activation rate by 23%, and cutting feature validation time by 40%.
Read case study →Reducing CAC by 35% Through Proper Marketing Attribution
A growth-stage D2C brand with $20M in revenue was overspending on bottom-funnel channels due to last-click attribution. We implemented multi-touch attribution, built a marketing data warehouse, and delivered a unified dashboard — reducing CAC by 35% and improving ROAS to 2.1x.
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