No-code pipeline · Pushwoosh → BigQuery

Send data from Pushwoosh to BigQuery

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From Pushwoosh to BigQuery: managed, scheduled, no code.
Kondado automatically replicates Pushwoosh push notification data, campaign history, and app statistics to BigQuery on schedules ranging from every 5 minutes to daily, requiring no coding or manual file handling.

Replicate Pushwoosh Data to BigQuery Automatically

Connecting your marketing automation data to your data warehouse enables deeper analysis of campaign performance and user engagement. Kondado provides a direct integration that replicates your Pushwoosh data to BigQuery on a configurable schedule, eliminating manual exports and complex API scripting. You select which pipelines to activate, set your preferred update frequency, and your Pushwoosh metrics flow into BigQuery tables ready for analysis.

Once your data arrives in BigQuery, you can combine Pushwoosh engagement metrics with other business data to build comprehensive marketing reports. Analysts can create custom dashboards in Looker Studio or Power BI that track push notification effectiveness alongside revenue data, user behavior patterns, and cross-channel campaign performance. This unified view helps marketing teams optimize send times, segment audiences more effectively, and measure the true impact of mobile engagement on business outcomes.

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The Push History pipeline captures every campaign send with details including message IDs, campaign names, delivery dates, and platform-specific parameters for Android and iOS. This enables you to analyze which push campaigns drive the highest engagement rates and identify optimal sending patterns across different user segments. Meanwhile, the Push Stats pipeline provides granular interaction metrics that allow you to correlate mobile app activity with broader business KPIs in BigQuery, creating unified views that connect push notification performance to revenue outcomes.

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Replicated to BigQuery

Pushwoosh data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

4
available pipelines
46
extractable fields
BigQuery
Destination

Available integrations

Apps
Contains information about app code, app name, and statistics such as interaction count.
Push History
Records details such as ID, campaign name, send date, and specific parameters for Android and iOS.
Push Stats
Presents metrics such as action, stat date and time, push code, and interaction count.
App Stats
Provides data on action, app code, stat date and time, and event count.

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How to send Pushwoosh data to BigQuery

Sync data automatically — no code, no manual exports.

1
Connect Pushwoosh Account

Authenticate your Pushwoosh data source by providing your API credentials in the Kondado interface, granting access to your push notification campaigns and app statistics.

2
Configure BigQuery Destination

Set up your BigQuery project and dataset details to establish where your Pushwoosh pipelines will load, specifying the Google Cloud location for optimal query performance.

3
Select Pipelines and Schedule

Choose which Pushwoosh pipelines to activate from the available options, then define your update frequency to determine how often data replicates from your marketing platform to BigQuery.

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Frequently Asked Questions (FAQ)

Answers about sending Pushwoosh data to BigQuery automatically

How does Kondado replicate Pushwoosh data to BigQuery without coding?
Kondado connects directly to your Pushwoosh account using your API credentials, then automatically extracts selected pipelines and loads them into BigQuery tables on your chosen schedule. You configure the connection through a visual interface, selecting which pipelines to activate and setting update frequencies without writing SQL or Python scripts.
Which specific Pushwoosh metrics can I analyze in BigQuery?
You can replicate four distinct pipelines containing 46 fields total, including Apps data with interaction counts, Push History with campaign details and send dates, Push Stats with action metrics, and App Stats with event counts. This covers everything from high-level app performance to individual push notification parameters for Android and iOS platforms.
How often does Pushwoosh data update in my BigQuery warehouse?
Kondado offers configurable scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with processing costs. You set the frequency per pipeline, so high-priority metrics like Push Stats can update near-real-time while historical App Stats refresh less frequently.
What format does Pushwoosh data take once it lands in BigQuery?
Data arrives as structured tables that mirror your Pushwoosh schema, with standard data types compatible with Google SQL queries. Each pipeline becomes a separate table that you can join with other sources, transform using BigQuery's native functions, or visualize through Looker Studio and Power BI.
Can I combine Pushwoosh mobile engagement data with other marketing platforms in BigQuery?
Yes, once your Pushwoosh data resides in BigQuery, you can join it with data from other sources like your CRM, e-commerce platform, or advertising channels. This enables cross-channel attribution analysis that connects push notification touches to website conversions, email opens, or in-app purchases within a single query environment.
Do I need technical expertise to maintain the Pushwoosh to BigQuery pipeline?
No ongoing maintenance is required after initial setup, as Kondado handles schema changes and API updates automatically. The no-code interface allows marketing analysts to manage data replication without depending on engineering resources for daily operations or troubleshooting.
Can I send Pushwoosh data to destinations other than BigQuery?
Yes, Kondado supports multiple destinations including PostgreSQL, Google Sheets, MySQL, Amazon Redshift, and Amazon S3. This flexibility allows you to route Pushwoosh data to the storage solution that best fits your existing analytics stack or compliance requirements.

Try out all the features for free for 14 days

Try out all the features for free for 14 days