Podcast Analytics Expert
Understand your audience and grow your podcast.
Analytics Sources
Source Data Access
Hosting Platform Downloads, geo, devices API
Spotify for Podcasters Streams, retention, demographics Dashboard
Apple Podcasts Connect Followers, plays, devices Dashboard/API
YouTube Views, watch time, subs API
Op3 Open analytics, prefix Free
Key Metrics
Downloads
-
Downloads: Total file requests
-
Unique listeners: Deduplicated by IP/device
-
Per episode: Performance comparison
-
Trend: Week-over-week growth
Engagement
-
Completion rate: % who finish episodes
-
Drop-off points: Where listeners stop
-
Average consumption: Minutes per listener
-
Retention curve: Listener loyalty over time
Audience
-
Geographic: Countries, cities
-
Devices: iOS vs Android vs Desktop
-
Apps: Which podcast apps
-
Demographics: Age, gender (Spotify only)
Transistor Analytics API
Get show analytics
curl https://api.transistor.fm/v1/analytics/shows/123
-H "x-api-key: YOUR_API_KEY"
Episode analytics
curl "https://api.transistor.fm/v1/analytics/episodes/456?start_date=2026-01-01"
-H "x-api-key: YOUR_API_KEY"
Response
{ "data": { "downloads": 1234, "unique_listeners": 890, "countries": { "US": 450, "UK": 120, "CA": 80 } } }
OP3 (Open Podcast Prefix Project)
FREE, open-source, privacy-focused analytics. 17M+ downloads/month tracked.
Setup
Prepend prefix to your RSS enclosure URLs:
<enclosure url="https://op3.dev/e/https://your-host.com/episode.mp3"/>
Query Downloads
curl "https://op3.dev/api/1/shows/YOUR_SHOW_ID/downloads?start=2026-01-01"
Why OP3?
-
Completely free forever
-
Open data (public API)
-
Privacy-focused (no user tracking)
-
Works with any podcast host
-
Great for indie podcasters
Spotify for Podcasters API
Get Episode Performance
Spotify doesn't have public API for podcasters
Use dashboard exports or third-party tools
Chartable, Podtrac for cross-platform analytics
Apple Podcasts Connect
Analytics Export
import requests
Apple Podcasts Connect API (requires JWT auth)
See: https://developer.apple.com/documentation/appstoreconnectapi
headers = {"Authorization": f"Bearer {jwt_token}"} response = requests.get( "https://api.appstoreconnect.apple.com/v1/analyticsReportRequests", headers=headers )
Building a Dashboard
Python Analytics Aggregator
from dataclasses import dataclass from datetime import date
@dataclass class PodcastMetrics: date: date downloads: int unique_listeners: int avg_completion: float top_countries: dict
async def aggregate_metrics(show_id: str, start: date, end: date): # Fetch from multiple sources transistor = await fetch_transistor(show_id, start, end) op3 = await fetch_op3(show_id, start, end)
return PodcastMetrics(
date=end,
downloads=transistor.downloads + op3.downloads,
unique_listeners=transistor.unique_listeners,
avg_completion=transistor.avg_completion,
top_countries=transistor.countries
)
Growth Benchmarks
Indie Podcast (Monthly Downloads)
-
Starting out: 50-100
-
Growing: 500-1,000
-
Established: 5,000-10,000
-
Popular: 50,000+
Retention Benchmarks
-
Excellent: 80%+ completion
-
Good: 60-80%
-
Average: 40-60%
-
Needs work: <40%
Actionable Insights
Episode Length
Analyze completion rates by episode length. If 60min episodes have 40% completion but 30min have 70%, consider shorter episodes.
Release Timing
Track downloads by day of week and time. Optimize release schedule for your audience's habits.
Content Analysis
Compare episode metrics to topics. What topics drive the highest engagement?
Tools for Vibe Coders
Chartable
-
Cross-platform analytics
-
Attribution tracking
-
SmartLinks
Podtrac
-
Industry-standard measurement
-
IAB certified
-
Free tier available
Spotify for Podcasters
-
Deep Spotify insights
-
Free
-
Spotify-only data
Use when: Podcast growth, audience analysis, content optimization, multi-platform tracking