Articles on: Organizing Your Data

Using Lists to Organize Your Podcast Research

Lists are Podscan's versatile content organization system. Think of them as dynamic folders that can hold any type of content — podcasts, episodes, mentions, alerts, topics, and people — all in one place.


How Lists Work as Tags


Instead of adding tags to items, you add items to lists. Each list essentially represents a category or label.


Example: Rather than "tagging a podcast as competitor," you add the podcast to a list called "Competitors." This approach offers powerful advantages:


  • Mixed content types: A single list can contain podcasts, episodes, mentions, and more
  • Dynamic growth: Lists update automatically when you add automated sources
  • Webhook notifications: Each list can trigger notifications to external systems


Creating a List


  1. Navigate to Lists in the main navigation
  2. Click New List
  3. Give it a descriptive name (e.g., "Q1 Competitor Mentions" or "Guest Opportunities")
  4. Optionally add a description
  5. Set visibility: Private (only you) or Team (shared with team members)


Adding Items to Lists


The Add to List button appears throughout Podscan. What makes it powerful is contextual intelligence — you can add more than just what you're viewing.


When viewing a mention, you can add:

  • The mention itself (one-time)
  • The alert that found it (dynamic — future matches auto-add)
  • The episode containing it
  • The entire podcast (dynamic — future episodes auto-add)


When viewing an episode, you can add:

  • The episode
  • The podcast
  • Topics discussed (dynamic — future episodes with these topics auto-add)
  • People or brands mentioned


Three Ways to View Your Lists


List View

The primary organization view showing all collected items. Features include:

  • Search within the list
  • Filter by type or date
  • Export as CSV or JSON
  • Pagination for large collections


Feed View

A dynamic content stream showing related items:

  • All episodes from podcasts in your list
  • Topics mentioned in tracked episodes
  • People appearing in tracked shows


This transforms static collections into discovery tools.


Demographics View

Aggregate demographic analysis across all podcasts in your list:

  • Age and gender distribution
  • Education and engagement levels
  • Professional industries represented
  • Export as JSON or Markdown report


Practical Use Cases


Competitor Monitoring: Create a list called "Competitors," add competitor podcasts, and use Feed View to see all their new episodes automatically.


Media Outreach List: Build a list of podcasts for potential guest appearances, filtering by audience size and demographics.


Client Reports: Organize mentions by client into separate lists, then export for reporting.


Content Research: Collect episodes about specific topics for content inspiration.


Automation with Webhooks


Enable webhook notifications for any list to:

  • Send new additions to Slack
  • Update a CRM when mentions are added
  • Trigger custom workflows via Zapier


Configure webhooks in Edit ListEnable webhook notifications.


Tips for Effective List Organization


  • Use descriptive names that include project context
  • Leverage dynamic additions (alerts and podcasts) to automate collection growth
  • Review Demographics View periodically to understand aggregate audience data
  • Export regularly for client reporting or team sharing

Updated on: 18/12/2025

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