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Podcast Analytics: What Metrics Actually Matter

PodRewind Team
6 min read
man in white polo shirt sitting in front of computer

Beyond Download Numbers

Someone asks how your podcast is doing, and you immediately think of downloads. But is that actually telling you anything useful?

Downloads feel important. They're the number everyone asks about, the metric podcast hosts display prominently, and the figure sponsors want to see. But downloads alone don't tell you whether your podcast is actually succeeding.

Here's the thing: a show with 2,000 engaged listeners often outperforms one with 10,000 casual downloaders.

A show with 10,000 downloads per episode might have listeners who tune out after five minutes. Another show with 2,000 downloads might have an audience that listens to every second and buys everything the host recommends. Which podcast is more valuable?

The answer depends on what you're trying to achieve. And figuring that out requires looking beyond the download counter.

Metrics That Actually Matter

Completion Rate

What percentage of listeners who start your episode actually finish it? This is one of the most revealing metrics available, though not all hosting platforms provide it.

Completion rate tells you:

  • Whether your content holds attention - A 30% completion rate on a 60-minute episode suggests something's wrong
  • Where listeners drop off - If everyone leaves at minute 15, examine what happens there
  • Which episode formats work - Compare completion rates across interview vs. solo episodes
  • Optimal episode length - You might discover your audience prefers 30 minutes over 60

Apple Podcasts and Spotify both provide completion data to creators. If your host doesn't show this, consider checking platform-specific analytics directly.

Subscriber Growth Rate

Total subscribers matters less than the trend. Are you gaining subscribers faster than you're losing them? Is growth accelerating or slowing down?

Track subscriber growth as a percentage:

  • Week over week - Are new episodes driving subscriptions?
  • Month over month - What's the overall trajectory?
  • After specific episodes - Which content converts listeners to subscribers?

A podcast with 1,000 subscribers growing 10% monthly will overtake a stagnant show with 5,000 subscribers within a year. Growth rate predicts future audience size better than current totals.

Episode-to-Episode Retention

How many listeners who download Episode 47 also download Episode 48? This "listen-through rate" reveals whether your show creates habits.

High retention indicates:

  • Loyal audience - People want more after each episode
  • Consistent quality - Listeners trust that new episodes will be worthwhile
  • Strong positioning - Your show fills a specific need in listeners' lives

Low retention suggests you're attracting one-time listeners but not converting them into regulars. That's a content or positioning problem worth investigating.

Traffic Sources

Where do your listeners come from? Understanding acquisition channels helps you focus marketing efforts where they actually work.

Common traffic sources include:

  • Platform browse and search - People finding you on Apple Podcasts or Spotify
  • Social media - Links from Twitter, LinkedIn, Instagram
  • Your website - Direct traffic from your owned properties
  • Guest appearances - Cross-promotion when you appear on other shows
  • Search engines - People finding your content via Google

If 80% of your new listeners come from guest appearances and 5% come from the Instagram account you spend hours maintaining, that tells you something important about where to invest your time.

Metrics That Mislead

Total Downloads

Downloads can be inflated by factors that have nothing to do with actual listening:

  • Automatic downloads - Many apps download episodes users never play
  • Bot traffic - Some download numbers include non-human traffic
  • One-time visitors - Someone who listens to one episode and never returns counts the same as a devoted fan

Downloads are easy to game and hard to interpret. They're useful for tracking trends in your own show over time, but they're poor indicators of actual engagement or show health.

Social Media Followers

A podcast with 50,000 Twitter followers might have 500 actual listeners. Social following and podcast audience are different populations with limited overlap.

Follower counts are vanity metrics that feel good but don't pay bills or build communities. Focus on the followers who actually engage and convert rather than the total number.

Episode Count

Publishing 500 episodes doesn't make your podcast better than one with 50 episodes. It might just mean you've been doing this longer.

Quality and relevance matter more than volume. A focused show with 50 carefully crafted episodes often outperforms a sprawling archive of inconsistent content.

Setting Up Proper Tracking

What Your Podcast Host Provides

Most hosting platforms offer:

  • Downloads per episode - The basic count everyone starts with
  • Geographic breakdown - Where listeners are located
  • Platform distribution - Apple vs. Spotify vs. other apps
  • Listening duration - If available, this is gold

Review your host's analytics dashboard and understand exactly what data you have access to. Some hosts provide much more detail than others.

Adding Your Own Tracking

Beyond what your host provides:

  • UTM parameters - Tag links you share to track which posts drive traffic
  • Listener surveys - Ask directly how people found you and what they want
  • Review monitoring - Track ratings and review content across platforms
  • Email list growth - If you have a newsletter, correlate subscriber growth with episode releases

Creating a Metrics Dashboard

Pick 5-7 metrics that matter for your specific goals and track them consistently:

  • Weekly download trends
  • Monthly subscriber growth rate
  • Completion rate by episode
  • Top traffic sources
  • Email list conversion rate
  • Review sentiment

Review your dashboard monthly. Look for patterns, not just numbers. A single week's data is noise; three months of trends is signal.

Using Data to Improve

Double Down on What Works

When episodes outperform your average, analyze why:

  • Was it the topic?
  • The guest?
  • The title and description?
  • When you published?
  • How you promoted it?

Do more of what works. If interview episodes consistently outperform solo shows, that's your audience telling you what they want.

Fix Drop-Off Points

If completion data shows listeners leaving at specific points:

  • First five minutes - Your intro might be too long or unfocused
  • Mid-episode - You might have pacing problems or tangents
  • Before the end - Your conclusions might drag

Record a few episodes with these findings in mind. Then check if completion rates improve.

Test Intentionally

Change one variable at a time:

  • Try a different episode length
  • Test new intro music
  • Experiment with release days
  • Adjust your promotional strategy

Give each test enough time to show results. A single episode isn't a valid test; five episodes with a new format starts to give you real data.

Track the Right Things

Metrics should inform decisions, not just satisfy curiosity. Every number you track should connect to something you can actually change.

If a metric doesn't help you make your show better, stop tracking it. If a metric reveals a problem, act on it. Data is only valuable when it drives improvement.

Related Resources

Use data to drive growth:

Photo by Chase Chappell on Unsplash: https://unsplash.com/photos/man-in-white-polo-shirt-sitting-in-front-of-computer-HIlhaf9MsN0


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