Welcome to our comprehensive tutorial where we guide you through integrating your Matomo marketing data with PowerBI. By the end of this tutorial, you will possess the knowledge to seamlessly connect your Matomo account to PowerBI and transform your raw data into visually impactful analytics.
Navigate to the Catchr homepage and find Source on the left-hand menu. Click the Add a Source button situated in the upper right corner. From here, choose the desired platform, in this case, Matomo, and complete the identification process to link your Catchr and Matomo accounts.
In PowerBI Desktop, reach out for Get Data and then select Web. Stay in basic mode and insert the request URL procured in the prior steps. Upon clicking OK, PowerBI initiates the data import which might take a few moments. Once your data is in PowerBI, employ PowerBI Query for query refinements and field type modifications. Now you can craft your dashboard from the imported data and share your insights.
In the PowerBI Web App, provide your dataset by publishing it from the desktop app, then construct a new report harnessing the dataset found within the published collection.
In sum, this guide has equipped you with the knowledge to integrate Matomo data into PowerBI. Leverage these insights for deeper analysis and share your findings across teams, ensuring all stakeholders are informed and empowered.
When incorporating your Matomo data within PowerBI, a suite of marketing metrics becomes available, offering a broad spectrum for in-depth analysis and strategic decision-making. For instance, metrics such as ‘Visits Evolution’ and ‘Pageviews Evolution’ enable you to monitor traffic trends over time. With the integration, you can employ PowerBI's data visualization capabilities to craft comprehensive dashboards that reveal the dynamics of user engagement on your platforms.
Furthermore, the ability to examine financial metrics like ‘Revenue’ and ‘Product Revenue Evolution’ within the context of PowerBI’s analytic tools opens up a world of possibilities for forecasting and performance assessment. By correlating these financial indicators with web activities, such as ‘Unique Purchases’, businesses can identify consumer behaviors that lead to conversions and refine their marketing strategies accordingly.
Connecting with the user experience becomes easier too. Engagement metrics like ‘Actions Per Visit’ and technical ones such as ‘Avg. Page Load Time’ bring to light areas of your digital presence that are performing optimally or require improvement. All these insights, combined with the collaborative nature of PowerBI, make the Matomo-PowerBI integration an asset for any data-driven marketing team.
For a complete list of the metrics you can extract from Matomo and utilize in PowerBI, visit the Catchr metrics directory at here.