podcast analytics expert

Podcast Analytics Expert

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Install skill "podcast analytics expert" with this command: npx skills add willsigmon/sigstack/willsigmon-sigstack-podcast-analytics-expert

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

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