No-code pipeline · Pushwoosh → Amazon S3

Send data from Pushwoosh to Amazon S3

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From Pushwoosh to Amazon S3: managed, scheduled, no code.
Kondado replicates Pushwoosh push notification and cross-channel marketing data to Amazon S3, including Apps, Push History, Push Stats, and App Stats pipelines, on a configurable schedule starting at five-minute intervals.

Replicate Pushwoosh Data to Amazon S3 Automatically

Replicating your Pushwoosh marketing data to Amazon S3 requires no engineering effort when using Kondado. Our platform connects directly to your Pushwoosh account and replicates selected data pipelines to your S3 bucket on a configurable schedule. You choose exactly which datasets to replicate, from push notification histories to detailed app statistics, and define update frequencies ranging from every five minutes to daily batches based on your analytics requirements.

Once your data arrives in Amazon S3, you can immediately query it using Amazon Athena or connect it to business intelligence tools like Power BI and Looker Studio for comprehensive campaign analysis. This automated pipeline eliminates manual data exports and keeps your analytics infrastructure updated with fresh engagement metrics from your mobile marketing campaigns. The separation of storage and compute in Amazon S3 allows you to scale your data lake efficiently while maintaining access to historical Pushwoosh data for long-term trend analysis.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Pushwoosh Data in Amazon S3

The Push History pipeline captures every campaign send date, message ID, and platform-specific parameters for Android and iOS, enabling you to analyze delivery patterns across devices in your S3 data lake. Combined with the Push Stats pipeline, which tracks interaction counts and action metrics over time, you can build custom attribution models that connect push notification engagement to downstream business outcomes. The Apps and App Stats pipelines provide foundational metadata and event counts that help you segment performance by individual applications, creating a complete view of your mobile marketing ecosystem within Amazon S3.

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Replicated to Amazon S3

Pushwoosh data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

4
available pipelines
46
extractable fields
Amazon S3
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 Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect Pushwoosh to Kondado

Authenticate your Pushwoosh account in Kondado by providing your API credentials, allowing the platform to access your mobile marketing data for replication.

2
Configure Amazon S3 Destination

Enter your AWS bucket details and specify the file path structure where you want Pushwoosh datasets stored, ensuring proper organization for Athena or Presto querying.

3
Select Pipelines and Schedule

Choose which pipelines to replicate from the available Apps, Push History, Push Stats, and App Stats options, then set your preferred update frequency from five minutes to daily intervals.

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Send data from Pushwoosh to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Pushwoosh data to Amazon S3 automatically

What Pushwoosh data can I replicate to Amazon S3?
You can replicate four distinct pipelines containing 46 total fields, including Apps data with app codes and interaction counts, Push History with campaign details and send dates, Push Stats with engagement metrics, and App Stats with event tracking information. This covers your complete mobile marketing dataset from the Pushwoosh platform.
How often does Pushwoosh data update in Amazon S3?
Kondado updates your S3 bucket on a configurable schedule that you define, with options ranging from every five minutes for near-real-time analytics to hourly or daily batches for cost-efficient storage. You can adjust these frequencies independently for each pipeline based on your specific reporting needs.
What file format does Pushwoosh data arrive in Amazon S3?
Data lands in your S3 bucket as structured files optimized for analytical querying, allowing immediate use with Amazon Athena, Presto, or Dremio without transformation. This format supports direct connections to Power BI and other business intelligence tools for immediate dashboard creation.
Can I combine Pushwoosh data with other marketing sources in Amazon S3?
Yes, you can replicate data from multiple sources into the same Amazon S3 environment, creating unified datasets that combine Pushwoosh engagement metrics with data from your CRM, advertising platforms, or databases for comprehensive cross-channel analysis. This consolidated approach enables you to correlate mobile push performance with broader marketing funnel data using Athena or Dremio.
How do I query Pushwoosh data once it is in Amazon S3?
You can use standard SQL with Amazon Athena to analyze your Pushwoosh datasets directly in S3, or connect the data to Looker Studio and Power BI to build custom reports visualizing campaign performance, engagement trends, and app statistics without moving the data.
What is the difference between Push History and Push Stats pipelines?
Push History contains records of individual campaigns including IDs, names, and send dates with platform-specific parameters, while Push Stats provides aggregated metrics such as action counts, interaction rates, and temporal statistics that help you measure performance trends over specific time periods.
Can I send Pushwoosh data to Amazon S3 and Google Sheets simultaneously?
Yes, Kondado allows you to create multiple pipelines from the same Pushwoosh source, enabling you to replicate data to Amazon S3 for data lake storage while simultaneously sending subsets to Google Sheets for quick team reviews or operational dashboards.

Try out all the features for free for 14 days

Try out all the features for free for 14 days