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With Kondado, marketing teams can transform Pushwoosh campaign data into actionable dashboards that track push notification performance, cross-channel engagement, and subscriber behavior across every touchpoint. You can build comprehensive reports that monitor delivery rates, click-through trends, conversion paths, and audience segmentation without writing any code or managing complex queries. Whether you oversee mobile marketing, in-app messaging, or omnichannel campaigns, these insights help you refine targeting, optimize send times, and improve customer retention with confidence.
Kondado provides a direct pipeline from Pushwoosh to Power BI, Looker Studio, and Google Sheets, allowing you to replicate marketing data on a configurable schedule and build fully customized reports that stay updated automatically.
Teams can visualize campaign ROI, track user re-engagement, and compare channel effectiveness side by side in a single view. By centralizing Pushwoosh metrics in your preferred analytics environment, you eliminate manual data exports and ensure every decision is backed by current information that reflects your latest marketing activity.
Try out all the features for free for 14 days
Try out all the features for free for 14 days
Step-by-step guide to extract insights from your dashboard
Select a report template in Power BI, Looker Studio, or Google Sheets to establish the layout and visual framework for your Pushwoosh marketing metrics. This gives you a structured starting point that you can populate with data through Kondado.
Add Pushwoosh as a data source inside Kondado by entering your account credentials and selecting the campaign metrics you want to replicate. The pipeline begins moving your marketing data to your chosen destination within minutes.
Once your data appears in the report template, adjust charts, apply filters, and add calculated fields to match your team's exact KPIs and branding. Your dashboard will refresh on the schedule you configured, keeping every insight current.
Answers about dashboards and data visualization