How do I connect Pushwoosh to Redshift without coding?

Kondado offers a no-code interface where you authenticate your Pushwoosh account and provide your Redshift cluster credentials within the platform. The system automatically maps Pushwoosh's four data pipelines to corresponding schemas in your warehouse, eliminating the need for manual API configuration or custom Python scripts.

What specific Pushwoosh metrics can I analyze in Redshift?

You can analyze campaign delivery rates from the Push History pipeline, platform-specific engagement statistics from Push Stats, and application-level interaction counts from the App Stats pipeline. This includes metrics such as send timestamps, device-specific parameters, action types, and event frequencies that enable detailed cohort analysis.

How often does Kondado update Pushwoosh data in my warehouse?

Kondado replicates data on a configurable schedule that you control, with options ranging from every five minutes for near-real-time dashboards to hourly or daily intervals for batch reporting. You can adjust these frequencies per pipeline to prioritize critical campaign metrics while reducing load on less urgent data.

Can I combine Pushwoosh data with other marketing platforms in Redshift?

Yes, Redshift serves as a central repository where Pushwoosh engagement data can join with advertising metrics from Google Sheets , customer records from PostgreSQL , or web analytics from BigQuery . This consolidation enables cross-channel attribution modeling and unified customer journey reporting through SQL joins.

What data format does Pushwoosh use when stored in Redshift?

Pushwoosh data arrives in Redshift as structured relational tables compatible with PostgreSQL syntax, maintaining original field names and data types from the source API. The pipelines preserve timestamp formats, JSON parameters for device-specific settings, and categorical values for campaign actions, ensuring query compatibility with standard BI tools.

Do I need to create tables manually in Redshift for Pushwoosh data?

No, Kondado automatically provisions the necessary table structures in your Redshift cluster when you activate each pipeline, handling schema creation and column mapping based on Pushwoosh's API specifications. The platform manages data type conversions and schema evolution as the source API updates, requiring no manual DDL statements from your team.

Can I send Pushwoosh data to Redshift and visualize it in Power BI?

Absolutely, once your data resides in Redshift, you can connect Power BI , Looker Studio , or other BI platforms to create custom dashboards showing campaign performance and user engagement trends. This architecture separates your data storage from visualization tools, giving you flexibility to switch reporting platforms without disrupting your Pushwoosh replication.

How do I track push notification campaign performance over time in Redshift?

Use the Push History pipeline to store historical campaign metadata and the Push Stats pipeline to accumulate time-series engagement metrics, then write SQL queries that aggregate sends, opens, and interactions by week or month. This longitudinal data enables trend analysis, A/B test significance calculations, and seasonal engagement pattern identification directly within your warehouse.

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Send Pushwoosh Data to Redshift Automatically

Kondado enables marketing teams and mobile app analysts to replicate Pushwoosh notification metrics and cross-channel campaign analytics directly into Amazon Redshift without writing complex ETL code. Configure your Pushwoosh data source once, select from four available pipelines, and automate data transfers on a schedule that fits your reporting needs. Whether you require updates every five minutes for near-real-time monitoring or prefer daily batches for trend analysis, your Redshift warehouse stays current with fresh engagement data.

Kondado connects Pushwoosh to Amazon Redshift, replicating mobile push notification data, campaign history, and application statistics through four automated pipelines on a user-configurable schedule.

Once your Pushwoosh data lands in Redshift, you can combine it with CRM records, advertising spend from Google Sheets or BigQuery, or web analytics to build comprehensive customer journey reports. Marketing analysts use this consolidated data to calculate true campaign ROI, segment audiences based on push engagement patterns, and optimize cross-channel messaging strategies through powerful SQL-based analysis and custom dashboards.

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

Available Pushwoosh Pipelines for Redshift

The Push History pipeline captures every campaign send date, message ID, and platform-specific parameters for Android and iOS, allowing you to analyze delivery patterns and timing optimization in Redshift. Meanwhile, the Push Stats pipeline delivers granular metrics including interaction counts and action timestamps, enabling you to build SQL queries that correlate notification engagement with in-app conversion events.

Combine the Apps pipeline, which contains app codes and interaction statistics, with the App Stats pipeline tracking daily event counts and temporal activity patterns to monitor user retention across different application versions. This data structure supports cohort analysis and churn prediction models directly within your Redshift environment, giving product teams the insights needed to optimize mobile user experiences.

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Pushwoosh data available for Redshift

available pipelines

extractable fields

Available integrations

Integration	Description
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.

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.

See all available data →

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How to send Pushwoosh data to Redshift

Sync data automatically — no code, no manual exports.

Connect Pushwoosh to Kondado

Authenticate your Pushwoosh account in Kondado by entering your API access credentials and selecting the mobile applications you want to replicate. The platform automatically detects available pipelines including Apps, Push History, Push Stats, and App Stats.

Configure Redshift destination

Enter your Amazon Redshift cluster endpoint, database name, and user credentials to establish the target warehouse location. Kondado validates the connection and prepares the schema structure to receive your Pushwoosh data.

Select pipelines and schedule

Choose which of the four Pushwoosh pipelines to activate and set your preferred replication frequency, from every five minutes to daily intervals. Once configured, Kondado begins automated data transfers to keep your Redshift tables updated according to your schedule.

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