What data you can export from Amplitude
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AnnotationsProject annotations and milestone markers with timestamps, team notes, and contextual information for tracking product releases, feature launches, and significant events that impact user behavior metrics and analytics interpretation.
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CohortsUser cohort definitions with membership criteria, behavioral characteristics, and segmentation rules, structured for advanced cohort analysis and user group performance tracking using BigQuery's statistical functions and temporal analysis capabilities.
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Average session lengthsSession duration metrics with time-based analysis, user engagement patterns, and session quality indicators, optimized for trend analysis and user experience optimization using BigQuery's time-series analytical functions and performance modeling.
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Active usersDaily, weekly, and monthly active user metrics with engagement breakdowns, activity patterns, and user lifecycle status for comprehensive user base analysis and growth tracking using BigQuery's aggregation and trending capabilities.
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Events listsComplete event taxonomy with event definitions, property schemas, and tracking specifications for data governance and analytics consistency across product analytics implementations and cross-team collaboration in BigQuery analytical workflows.
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EventsIndividual user event records with timestamps, properties, and behavioral context, structured for granular analysis of user interactions, feature usage patterns, and behavioral flow analysis using BigQuery's event-level processing capabilities.
All-in-one tool for Amplitude data exports and analytics
Extract user behavior data, session metrics, and engagement insights from Amplitude, then combine with customer data from CRM systems, support platforms, and business applications for unified user intelligence and product optimization.

Transform complex event tracking, user properties, and behavioral patterns into structured datasets optimized for BigQuery's analytical engine, enabling advanced product analytics and user journey mapping at enterprise scale.

Keep your product analytics fresh with automated data synchronization from 15-minute real-time updates to daily batch processing, ensuring your behavioral insights and user metrics stay accurate for strategic decision-making.

Ask natural language questions about user behavior patterns, feature adoption rates, and retention metrics to receive instant insights without complex SQL queries or technical data analysis expertise.





Why export Amplitude to BigQuery - real life cases
Advanced user cohort analysis and retention modeling
Product feature performance and adoption analytics
Behavioral segmentation and personalization at scale
Cross-platform user journey analysis and optimization
How to export Amplitude to BigQuery
Automate data exports with the no-code Amplitude BigQuery integration
Connect similar Marketing apps and get data in minutes
Quick start with dashboard templates
about your case. It doesn't cost you a penny 😉
Talk to AI about your Amplitude data
Ask questions like: "Which features show the highest user engagement this month?", "What behavioral patterns indicate users likely to churn?", "How do session lengths vary across different user cohorts?", or "What events correlate with successful feature adoption?" to receive data-driven product insights powered by your BigQuery behavioral analytics.

Keep your data safe
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