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Mixpanel BigQuery

Connect Mixpanel to BigQuery

Send Mixpanel cohorts, engages, revenues and 4 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.

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BigQuery dataset mixpanel
  • cohorts
  • engages
  • revenues
  • annotations
  • cohort_members
  • 2 more data types
Each Mixpanel data type lands in its own table. You pick the dataset and table names.
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How to connect Mixpanel and BigQuery

5 steps. You can preview the Mixpanel data in Coupler.io before anything reaches BigQuery.

Step 1 of 5

Connect Mixpanel

Enter your Mixpanel username, secret, project ID and region. You only do this once per account.

Username••••••••••••
Secret••••••••••••
Project ID••••••••••••
Region••••••••••••

Step 2 of 5

Choose what to export

Pick the Mixpanel data you want in BigQuery.

Start dateAny dateSpecify the earliest date to export data from. Defaults to one year ago if not set.
End dateAny dateSpecify the latest date to export data to. Leave empty to sync to the most recent date.

Step 3 of 5

Fine-tune the export

Optional settings for this Mixpanel export.

Attribution windowNot setSpecify the number of days for attributing results to ads. Default is 5 days.
Date slicing windowNot setSpecify window size in days for data processing. Reduce if encountering memory issues with large datasets.
Export lookback windowNot setSpecify seconds to look back from last sync to ensure no data is missed. Default is 0 seconds.
Project timezoneNot setSpecify your project timezone.

Step 4 of 5

Connect BigQuery

Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Mixpanel data.

JSON key filecoupler-service-account.jsonKey file from a GCP service account
Dataset namemixpanelExactly as it appears in BigQuery
Table namecohortsExisting table or a new name to create
Autodetect table schemaOnOn by default. Turn off to define the schema as JSON

Step 5 of 5

Choose a write mode and schedule

Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.

Write mode

Each run overwrites cohorts with fresh Mixpanel data.

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Get the most of Mixpanel to BigQuery integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
Understand data icon

Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Mixpanel to BigQuery questions

7 data types, including Cohorts, Engages, Revenues, Annotations and Cohort members.

With your Mixpanel username, secret, project ID and region, entered once when you add the connection.

Yes. Set the start date and end date to cover the period you need.

Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Mixpanel data.

Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches BigQuery.

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