Podcast Analytics Dashboards: Building Your Own

Custom reporting beyond host dashboards — the DIY analytics stack.

The landscape

When it comes to the self-built measurement stack, the details matter. Here's what the evidence and practitioner experience point to:

• Host dashboards cover basics; the gaps are cohort analysis, episode-comparison and cross-show views — worth building if you run a network.
• The data sources: hosting analytics export, podcast app data (Spotify for Podcasters), website analytics, survey data.

What actually works

When it comes to the self-built measurement stack, the details matter. Here's what the evidence and practitioner experience point to:

• The simple version: a spreadsheet with per-episode metrics over time — trends visible without tooling.
• The advanced version: BI tools (Looker Studio, Metabase) consuming exported data — for shows at scale.

Putting it into practice

When it comes to the self-built measurement stack, the details matter. Here's what the evidence and practitioner experience point to:

• The metrics worth tracking manually: completion rate by episode, listener-to-subscriber conversion, review velocity.
• Warning: analytics rabbit-holes substitute for production — build the minimum viable dashboard; spend saved time on content.

Key takeaways

• Host dashboards cover basics; the gaps are cohort analysis, episode-comparison and cross-show views — worth building if you run a network.
• The advanced version: BI tools (Looker Studio, Metabase) consuming exported data — for shows at scale.
• Warning: analytics rabbit-holes substitute for production — build the minimum viable dashboard; spend saved time on content.

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