How To

Analyze Podcast Data

Analyzing your podcast data with Gigasheet can unlock insights into your audience's preferences and behaviors, help you optimize your content, analyze royalty reports, and ultimately grow your listener base. This guide will walk you through the steps of using Gigasheet to efficiently analyze your podcast data.

Step 1: Gather Your Data

Before you can analyze your podcast data, you need to collect it from all the platforms where your podcast is available. This might include:

  • Download and listener statistics from podcast platforms like Apple Podcasts, Spotify, and Google Podcasts.
  • Engagement data from social media platforms.
  • Revenue and advertisement performance data, if applicable.

Step 2: Import Your Data into Gigasheet

Once you have your data ready:

  1. Log in to your Gigasheet account. You can sign up today and start for free.
  2. In you Library select +New > Upload File and choose the data files you’ve prepared. Gigasheet can handle various formats, including CSV, XLSX, or load directly from a URL. You can also connect Gigasheet to your cloud data stores (like Google Drive, OneDrive or Dropbox) as well as to popular databases and data warehouses (like Snowflake, Databricks and more).

Step 3: Combine Your Data Files

If your data is spread across multiple files, you can append them with Combine Files (Note: if you're looking to join data across sheets by matching on a column, we'll cover that below in Step 5):

  1. Still in the Library, select the files you want to combine.
  2. Click on Combine Files. Be sure they have matching columns! If needed you can prepare the files by opening them in Gigasheet and changing data types, deleting unnecessary columns, etc.
  3. Choose how you want to combine them.

Step 4: Analyze and Group Your Data

Now that your data is organized and refined, you can start analyzing and grouping your data:

  1. To group data, select the columns you wish to group by and choose your desired aggregation for other columns, like counting unique values, averages, maximums, minimums, and ranges.
  2. Explore listener trends, demographic insights, and revenue analysis through these groups to identify patterns and insights.

Step 5: Apply Filters for Specific Insights

To focus on particular aspects of your data:

  1. Click on the file you want to work on in your library to open it.
  2. Use the Filter option to drill down into specific data. For example, you might want to filter by a certain date range, episode, or listener demographics.

Step 6: Use Cross File VLOOKUP for Deeper Analysis

To enrich your podcast data with information from other files:

  1. Go to the Insert menu and select VLOOKUP. Learn more about the specifics here.
  2. Choose the sheet and column you want to cross-reference.
  3. Optionally, you can also import other columns from the source sheet to your current sheet, which allows for a more comprehensive analysis.

Step 7: Export or Share Your Findings

Once your analysis is complete:

  1. Click the Share or Link button at the top of your sheet to share the data with others. This makes it easy to share findings with your team or use them to make informed decisions about your future podcast content.
  2. Optionally, click File > Export to download the results in your preferred format for presentations or further analysis. You can also select to create a URL that can be used import the data in real-time to spreadsheets and BI tools


With Gigasheet, analyzing your podcast data becomes a streamlined and insightful process, helping you to better understand your audience and optimize your content strategy. Whether you’re looking to increase listener engagement, maximize revenue, or simply fine-tune your podcast episodes, Gigasheet provides the tools you need to achieve your goals with ease.

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