Export Braze to BigQuery
Move your Braze customer engagement data to BigQuery with Coupler.io to unlock advanced lifecycle intelligence, omnichannel messaging insights, and predictive customer behavior modeling through BigQuery's analytical infrastructure and machine learning tools.
What data you can export from Braze
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CampaignsEmail, push, and SMS campaign configurations including audience targeting, message content metadata, send schedules, and delivery parameters, enabling comprehensive campaign strategy analysis and cross-channel performance comparison in BigQuery's analytical environment.
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Campaigns analyticsPerformance indicators for messaging initiatives including engagement rates, delivery statistics, conversion tracking, and revenue attribution data, ready for deep-dive analysis of campaign ROI and messaging effectiveness across different audience segments.
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EventsCustomer interaction logs capturing individual touchpoints, behavioral triggers, and engagement responses with detailed timestamps and contextual attributes, perfect for granular customer journey analysis and behavioral pattern discovery through BigQuery queries.
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Events analyticsAggregated behavioral insights showing engagement trends, interaction frequencies, and customer activity patterns over time, designed for trend analysis and customer lifecycle stage identification using BigQuery's time-series analytical capabilities.
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CanvasesMulti-step customer journey configurations with flow logic, audience criteria, message sequences, and performance tracking data, enabling comprehensive journey effectiveness analysis and customer path optimization through BigQuery's advanced analytics.
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Canvases analyticsJourney performance metrics, including step completion rates, audience flow patterns, conversion funnel data, and journey outcome measurements, structured for customer experience optimization and multi-touch attribution analysis in BigQuery.
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SegmentsCustomer audience definitions with membership rules, behavioral criteria, and demographic parameters, plus segment performance data for audience effectiveness analysis and customer profiling through BigQuery's segmentation and clustering capabilities.
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Kpi daily active usersDaily engagement metrics tracking active user counts, session patterns, and activity levels across different customer segments, optimized for user base analysis and engagement trend identification using BigQuery's statistical and forecasting functions.
All-in-one tool for Braze data exports and analytics
Pull customer touchpoint data, messaging performance records, and engagement workflows from Braze, then merge with sales systems, product usage data, and customer support platforms to build complete customer intelligence databases.
Convert multi-channel engagement records, customer journey flows, and messaging campaign results into analytical-ready formats designed for BigQuery's processing power, making complex customer behavior analysis accessible through standard SQL operations.
Maintain fresh customer insights with scheduled data updates ranging from near real-time engagement tracking to weekly lifecycle reporting, keeping your customer analytics warehouse synchronized without manual data management.
Interact with your customer engagement data through conversational AI, asking business questions about messaging effectiveness and customer behavior patterns to get immediate answers without writing analytical queries.
Why export Braze to BigQuery - real life cases
Customer lifetime value optimization through behavioral analytics
Omnichannel messaging effectiveness and attribution analysis
Predictive churn detection and prevention workflows
Journey performance benchmarking and optimization strategies
How to export Braze to BigQuery
30 seconds
30 seconds
30 seconds
10 seconds
Automate data exports with the no-code Braze BigQuery integration
Connect similar Email 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 Braze data
Sample questions include: "What engagement patterns indicate high-value customers?", "Which journey paths show the best conversion outcomes?", "How does message frequency affect customer satisfaction scores?", or "What behavioral signals predict successful upsell opportunities?" - all answered instantly using your BigQuery customer data.
Keep your data safe
Coupler.io safeguards your shared information and data transfers from breaches, leaks, and unauthorized disclosures.
