Connect Localytics to Excel Power Query Automatically

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What is Localytics?

Localytics is a powerful mobile app analytics and marketing platform for large enterprises. It provides detailed insights into app usage, user engagement, and customer behavior, allowing businesses to optimize their mobile strategy and drive revenue growth. By leveraging Localytics' advanced segmentation and targeting features, companies can deliver personalized and relevant content, improving the app experience for their users and increasing customer lifetime value.

What is Excel Power Query?

Excel Power Query is a versatile data transformation and analysis tool, integrated within Microsoft Excel. It simplifies data preparation and cleaning processes, enabling users to easily discover, connect to, and transform various data sources. Enterprise companies benefit from using Excel Power Query by streamlining their data analysis workflows, reducing manual work, and gaining valuable insights from diverse datasets. It's particularly useful for creating custom data models and visualizations, as well as automating repetitive tasks.

Connecting Localytics to Excel Power Query

Connecting Localytics to Excel Power Query can be achieved through several steps:

  • Access the Localytics dashboard and export the desired data as a CSV or Excel file.
  • Open Excel and launch the Power Query Editor by navigating to the Data tab and selecting "Get Data".
  • Choose the "From File" option and select the exported Localytics file.
  • Use Excel Power Query's built-in functions to clean, transform, and manipulate the imported data as needed.
  • Create visualizations and data models using Excel tools, such as PivotTables and charts, to analyze and gain insights from the Localytics data.
  • Set up a data refresh schedule for automatic updates to maintain data accuracy and relevance.
  • Alternatively, instead of performing these tasks manually, you can use a dedicated platform like Improvado to automate the process of connecting Localytics to Excel Power Query.

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We now rely fully on Improvado for multiple dashboards that we use for day-to-day marketing operations and strategy, as well as for presentations to executive leadership.

Waleed Noury, Senior Media Analyst at Activision
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Connecting Localytics to Excel Power Query with Improvado

Improvado offers a seamless solution for connecting Localytics to Excel Power Query, eliminating the need for manual data extraction and transformation. With a robust data extraction and load process, Improvado automatically imports, normalizes, and syncs your Localytics data with Excel Power Query. It provides a comprehensive list of metrics and dimensions to choose from, ensuring that all relevant data is accessible and ready for analysis. Moreover, Improvado's platform is highly scalable, customizable, and capable of handling large volumes of data, making it the ideal choice for enterprise-level businesses seeking to centralize their marketing and sales data.

Summary of connection Localytics to Excel Power Query

In summary, connecting Localytics to Excel Power Query can be a time-consuming process. However, by leveraging Improvado, you can efficiently sync Localytics data with Excel Power Query, streamlining your marketing analytics workflow. Improvado offers a scalable and customizable solution, ensuring that your data remains accurate, up-to-date, and ready for analysis. Additionally, the platform's high-quality customer support and ability to process large volumes of data make it the perfect choice for enterprise-level businesses. To learn more about how Improvado can help you connect Localytics to Excel Power Query, book a call with one of our experts today.

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Trusted by the leading data-driven companies, Improvado is an advanced marketing analytics providing businesses with fully automated no-code data pipelines: from data to insights.

  • Reliable data pipeline — automatically get analysis-ready data from hundreds of marketing platforms.
  • Any BI platform — clean and consistent dashboards in Looker Studio, Tableau, and PowerBI.
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