Podcast Audience Research: Know Your Listener

Surveys, analytics and inference — building the listener picture that drives every decision.

The landscape

When it comes to audience knowledge as the show's foundation, the details matter. Here's what the evidence and practitioner experience point to:

• Podcasting's data poverty is the biggest challenge: you know download counts, not who's downloading — build the picture deliberately.
• Surveys are the primary tool: a short survey to engaged listeners yields demographics, interests and purchase intent no analytics dashboard shows.

What actually works

When it comes to audience knowledge as the show's foundation, the details matter. Here's what the evidence and practitioner experience point to:

• Analytics inference: platform data (Spotify for Podcasters, Apple Analytics) shows demographics, apps, devices, retention — triangulate.
• The community layer: Discord/email/community spaces reveal listener needs in their own words — better than survey structures.

Putting it into practice

When it comes to audience knowledge as the show's foundation, the details matter. Here's what the evidence and practitioner experience point to:

• The listener persona: crystallise research into 'who we're making this for' — every content, marketing and monetisation decision filters through it.
• Update the picture as the show grows: early audiences differ from scaled audiences; annual re-surveying keeps the persona honest.

Key takeaways

• Podcasting's data poverty is the biggest challenge: you know download counts, not who's downloading — build the picture deliberately.
• The community layer: Discord/email/community spaces reveal listener needs in their own words — better than survey structures.
• Update the picture as the show grows: early audiences differ from scaled audiences; annual re-surveying keeps the persona honest.

Ready to put this into practice? PodKrafter turns research into broadcast-ready podcast episodes — start free.