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Mailgun to BigQuery

Export Mailgun to BigQuery

Export Mailgun to BigQuery with Coupler.io to unlock advanced email analytics, deliverability insights, and predictive modeling through powerful SQL queries and machine learning capabilities.

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All-in-one tool for Mailgun data exports and analytics

Collect data from Mailgun and enrich it with information from other sources

Pull email delivery data, domain performance metrics, and event tracking from Mailgun, then combine it with customer data from CRMs or marketing platforms for deeper insights.

Organize raw Mailgun data in the form of a ready-to-use data set

Transform complex email event logs and domain statistics into structured datasets optimized for BigQuery analysis, making your email performance data immediately queryable.

Automate data refresh on a custom schedule

Set up automatic syncing of your latest email delivery metrics, bounce rates, and domain health data to keep your BigQuery warehouse up-to-date without manual intervention.

Connect Mailgun data to AI to query and analyze data using natural language conversations

Avoid writing complex SQL queries and instead communicate directly with AI about your email performance by asking "How are my domain delivery rates performing?" or "What delivery issues occurred this week?" for instant insights.

Why export Mailgun to BigQuery - real life cases

Email deliverability analysis and optimization

Analyze delivery rates, bounce patterns, and spam complaints across different domains and campaigns to identify factors affecting email deliverability and optimize sender reputation.

Advanced email performance reporting and attribution

Combine Mailgun event data with sales and marketing metrics in BigQuery to track email ROI, conversion paths, and customer lifecycle attribution through SQL analysis.

Domain health monitoring and compliance tracking

Monitor domain reputation scores, delivery statistics, and compliance metrics across multiple domains to ensure optimal email infrastructure performance and regulatory adherence.

Predictive email engagement modeling

Use BigQuery's machine learning capabilities with historical Mailgun data to predict optimal send times, identify at-risk subscribers, and forecast campaign performance trends.

How to export Mailgun to BigQuery

Step 1. Connect to your Mailgun account and select the data to export

30 seconds

Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.

30 seconds

Step 3. Connect your BigQuery account and specify where to load your data

30 seconds

Step 4. Schedule data refresh to automate data flow from Mailgun to BigQuery

10 seconds

Automate data exports with the no-code Mailgun BigQuery integration

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Talk to AI about your Mailgun data

Beyond BigQuery storage, Coupler.io enables users to connect Mailgun to AI tools through the Coupler.io MCP server. As a result, users can have natural language conversations with AI on their data.

Provide a few examples of questions they can ask about Mailgun data to get insights into it: "How do my email delivery metrics compare across different campaigns?", "What patterns exist in my bounce and complaint data?", "Which domains show authentication problems?", or "Analyze my sender reputation trends over time".