Somewhere around episode twelve, most new podcasters open their hosting dashboard, see a wall of charts, and close it again. Tasha did exactly that. She's our illustrative creator for this series: a middle school science teacher in Rainier Valley who makes a podcast for parents of curious kids, where every episode answers one real question a kid asked. She had three months of episodes out, a steady trickle of listeners, and a nagging question she couldn't answer from instinct alone: what should I make next?

That's what analytics are for. Your numbers aren't a report card. They're a conversation with listeners you'll never meet, telling you which questions grabbed them, where they drifted off, and how they found you. This part of the series teaches you to read that conversation: what downloads actually count, why retention matters more than almost anything else, what each major platform shows you, and how to turn all of it into decisions. We'll also show where The Union's coworking desks and member community give you people to think it through with, because numbers make a lot more sense when you talk about them out loud.

Why Your Numbers Are a Creative Tool

In Part 22 you worked on growing your audience. Analytics close the loop. Growth tactics bring people to the door; analytics tell you whether they came in, stayed, and came back.

Think of your data as answering three questions:

• Reach: How many people are getting your episodes? (Downloads, plays, views, followers.)

• Engagement: How much of each episode do they actually hear or watch? (Retention, consumption, average view duration.)

• Discovery: Where are they coming from, and who are they? (Apps, countries, cities, demographics, traffic sources.)

Beginners tend to obsess over the first question and ignore the other two. But reach is the slowest number to move and the one you control least. Engagement and discovery are where you find specific, fixable things: an intro that runs too long, a topic that outperforms, a city where you're unexpectedly popular. Those are the clues that tell you what to make next.

Downloads: What They Really Count

Your podcast host (Buzzsprout, Libsyn, Captivate, Spotify for Creators, and others) reports downloads. A download is logged when an app requests your audio file from the host's server. That sounds simple, but raw server requests are messy: bots, apps that request a file in pieces, and people who tap play twice.

To clean that up, the industry relies on the IAB Podcast Measurement Technical Guidelines from the Interactive Advertising Bureau. Under these guidelines, certified hosts filter out known bots, count repeat requests from the same listener within a 24-hour window only once, and require that enough of the file be requested to represent real listening (the guidelines use roughly one minute of audio as the threshold). Many major hosts are IAB certified; check whether yours is, because sponsors will ask in Part 24.

A few things a download does not tell you:

• Whether anyone pressed play. An app can auto-download an episode that sits unheard.

• How long they listened.

• Whether one download equals one person. A family might share one phone; one person might download on two devices.

Apple's changes to automatic downloads in iOS 17 (2023) also lowered reported download counts for many shows, even when actual listening didn't change. That's a good reminder that downloads are a useful trend line, not a precise headcount.

Why your dashboards disagree

Your host might say 140 downloads, Apple might say 60 listeners, and Spotify might say 45 streams for the same episode. That's normal. Each one counts something different:

• Your host counts file requests from every app (IAB-filtered if certified).

• Apple Podcasts Connect counts plays and unique devices, but only from listeners who have opted in to share data with creators.

• Spotify for Creators counts starts and streams on Spotify only. Spotify streams many episodes from its own servers, so some listening never touches your host's download count unless your show is hosted on Spotify.

• YouTube Studio counts views of your video version, an entirely separate audience.

Never add these together. Track each one on its own, month over month.

The benchmark question

Everyone wants to know: is my number good? Hosting companies occasionally publish benchmarks. Buzzsprout, for example, has reported that an episode getting a few dozen downloads in its first seven days puts a show in roughly the top half of all podcasts, though those figures shift from year to year and vary by host. The honest answer is that the most useful benchmark is you, last month. Use a consistent window (first 7 days and first 30 days per episode are common) so you're comparing like with like.

Retention: The Most Honest Number You Have

If downloads tell you who showed up, retention tells you who stayed. Retention (also called consumption or audience drop-off) shows what percentage of listeners are still there at each point in the episode. It's the closest thing you have to watching a listener's face.

Apple, Spotify, and YouTube all offer some version of a retention graph. Your host may not, because a file download doesn't report playback. Retention data usually appears only once an episode has enough listeners to protect privacy, so very new shows may see blanks at first.

How to read a retention curve

Almost every curve slopes down. What matters is the shape:

• A steep drop in the first 60 to 90 seconds usually means the opening didn't deliver on the title. Listeners came for the promised question and got housekeeping instead.

• A sudden cliff mid-episode points to one moment: an ad read, a tangent, a long segment that lost the thread. Note the timestamp and go listen.

• A flat, gentle slope means people are settled in. That's the goal.

• A bump upward means people skipped back to replay something. Find out what; it's probably your best material.

• A drop at the very end is normal as you wrap up, but if listeners leave before your call to action, move the ask earlier.

A useful rule of thumb: compare average consumption across your own episodes rather than against other shows. An episode that holds listeners noticeably longer than your average is telling you something about topic, format, or pacing worth repeating.

Platform Data, One Dashboard at a Time

Here's what each major platform shows you and the one or two numbers worth checking first. Platforms rename and redesign these tools regularly, so treat the labels as current at the time of writing.

Apple Podcasts Connect

Sign in at Apple Podcasts Connect to see plays, listeners, followers, time listened, and per-episode consumption charts. The standout metric is engaged listeners, which Apple has defined as devices that played more than 20 minutes or 40 percent of an episode. If your engaged listener count is close to your total listener count, your episodes are holding people. Apple's data reflects only users who agreed to share analytics, so treat it as a strong sample.

Spotify for Creators

Formerly Spotify for Podcasters, this dashboard separates starts (any play) from streams (plays of 60 seconds or more). The gap between the two is your "first minute" test. Spotify also shows audience age ranges, gender, top countries and cities, and which episodes drive new followers. For a local show, the city data can be eye-opening.

YouTube Studio

If you publish video, YouTube gives you the richest data of all: impressions, impressions click-through rate (how often people who see your thumbnail click it), average view duration, a detailed audience retention graph, traffic sources, and subscriber gains per video. Click-through rate tells you whether your title and thumbnail work; retention tells you whether the episode delivers. A strong video needs both.

Your host and your website

Your host shows total downloads, apps used, and geography across all platforms. Your website analytics show which show-notes pages people visit and which links they click. Together they fill in the gaps the big apps leave.

Tasha's 90-Day Review

Here's how Tasha turned her charts into decisions. She grabbed a quiet table in one of the 20th-floor meeting rooms at The Union (first come, first served for members), opened her dashboards, and gave herself ninety minutes and a notebook.

What she found:

• Reach: Her host showed downloads per episode climbing slowly over three months. Two episodes stood out: "Why do my ears pop on an airplane?" and "Can a fish drown?" Both had roughly double her usual first-week downloads.

• Engagement: Her Spotify starts-to-streams gap was wide on early episodes and narrower on recent ones. The difference? In month one she opened with a two-minute welcome. Later, she started with the kid's actual question, in the kid's voice. Apple's consumption charts showed the same cliff near the old intros.

• Discovery: Spotify showed her audience skewed toward adults 25 to 44, with Seattle at the top and a surprising cluster in Tacoma. YouTube Studio showed that short captioned clips drove more new subscribers than full episodes.

Her decisions were concrete. She'd open every episode with the kid's question within the first fifteen seconds. She'd lean into "body and nature mysteries," since both breakout episodes fit that theme. She'd reach out to a Tacoma parent group. And because clips were working, she'd plan two short vertical clips per episode.

That last decision connected straight back to production. Tasha had been recording audio only, but YouTube's numbers convinced her to try video in the Blue Pill or Red Pill studio, whose sets include The Cove and Talk Show, and to plan a panel of kid guests later in the season. Analytics didn't just change her edit; they changed which room she booked.

Common Mistakes When Reading Analytics

• Checking daily. Day-to-day numbers swing for reasons you can't control. Review weekly at most, decide monthly.

• Judging an episode on day two. Podcasts have a long tail. Use your fixed 7-day and 30-day windows.

• Adding platforms together. Apple listeners, Spotify streams, and YouTube views measure different things. Keep them separate.

• Changing five things at once. If you move your intro, switch your release day, and change your cover art in the same month, you won't know what worked. Change one variable at a time.

• Ignoring small samples. With 40 listeners, one family binge-listening can skew a chart. Look for patterns across several episodes before drawing conclusions.

• Chasing vanity metrics. A spike from one shared link feels great but may not bring returning listeners. Followers and retention are better signals of a lasting audience.

Don't Read Your Numbers Alone

The hardest part of analytics isn't the math. It's interpretation. You're too close to your own show. You remember how hard that one episode was to edit, so you defend it even when the retention chart says listeners left. A second set of eyes catches what you can't.

This is where a shared workspace earns its keep. At The Union, the community of local entrepreneurs, artists, educators, and creators means the person at the next desk might run a newsletter, manage social accounts for a small brand, or host their own show. Picture an illustrative fellow member, say a marketing consultant, glancing at Tasha's YouTube dashboard over coffee in the Commune and pointing out that her thumbnails all look the same. That's a two-minute conversation that could lift her click-through rate for months.

A few ways to build that habit:

• Find an analytics buddy. Swap dashboards monthly with another creator and ask each other, "What would you change?"

• Use the in-between spaces. The Corner, the Commune's kitchen and lounges, and even the game room are where a lot of those casual "how's your show doing?" conversations happen.

• Bring numbers to programming. The Union runs workshops, webinars, and education programming, plus a digital library and eLearning for members. Arrive with your own data and questions, and you'll get far more out of any session.

• Talk to a producer. The Union's services include audience targeting and research, distribution strategy, and social media promotion and management. A strategy session can help you think through your next move, especially if you're deciding whether to add video or change formats.

The CoMmunity membership includes discounted consultations, which makes a periodic check-in with the team an easy habit. If you want a place to do this work, the CoWorking Hybrid Worker tier adds drop-in coworking and bookable meeting and creative space.

Your Monthly Analytics Routine

Block one hour on the same day each month and work through this list. Keep a simple spreadsheet so you can see trends over time.

1. Record reach. Note each episode's 7-day and 30-day downloads from your host, plus Apple listeners, Spotify streams, and YouTube views in separate columns.

2. Check followers. Log follower counts on Apple and Spotify and subscribers on YouTube. Note the net change.

3. Read retention. Open the consumption graph for your newest two episodes. Write down the timestamp of any sharp drop.

4. Test the first minute. Compare Spotify starts to streams, or YouTube's retention at the 30-second mark. A widening gap means your opening needs work.

5. Scan discovery. Note top apps, top cities, and YouTube traffic sources. Flag anything new.

6. Find your top and bottom episodes. Rank by 30-day downloads and by retention. Ask what the top ones share.

7. Pick one change. Choose a single experiment for next month: a new opening, a topic theme, a thumbnail style, or a release day.

8. Share it. Talk through your findings with a fellow creator or producer before you commit.

Do This This Week

Set a 45-minute timer and complete this exercise:

• Log in to your host, Apple Podcasts Connect, and Spotify for Creators (plus YouTube Studio if you publish video). If you haven't claimed your show on Apple or Spotify yet, do that first; it's free.

• Pick your three most recent episodes. For each, write down 7-day downloads and the timestamp of the biggest drop in retention.

• Listen to the 60 seconds around each drop. Write one sentence on why you think people left.

• Write one hypothesis ("Listeners leave when I read announcements before the question") and one change you'll test in your next episode.

• Show your notes to one other person this week, ideally someone who makes content too.

That's it. You've just turned charts into a plan.

Coming up next

Once your numbers tell a clear story about who listens and how long they stay, you have something sponsors want to hear. In Part 24, the series finale, we'll cover monetization and sponsorships: media kits, ad formats, pricing basics, and how to pitch your first partner.

Start your story at The Union

You don't need to be a data analyst to understand your show, and you don't need to figure it out alone. The Union, a nonprofit program of PACE in downtown Seattle, has been an on-ramp for educators, entrepreneurs, and creators since 2018, with a community that makes reading your numbers (and acting on them) a lot less lonely. When your analytics point you toward video, a panel format, or a new set, the spaces are right there, along with producers who can walk you through what's possible.

Want to talk through your dashboards or plan your next season? Email contact@theunion.io or call 206-551-0964. Guests can book the studio by appointment, no membership required. If you're ready for a home base, apply for membership: the CoMmunity tier is $50 a month with discounted consultations, the CoWorking Hybrid Worker tier is $100 a month for drop-in coworking and bookable space, and the CoCreate Podcast tier is $300 a month with media lab access for DIY and full-service production (CoCreate currently has a waitlist of about a month). Bring your numbers. We'll help you figure out what they're telling you.

The full series

This is Part 23 of 24 in Starting a Podcast at The Union (Distribution stage). Previous: Part 22, Downloads Flatlined? Ways to Grow Your Podcast Audience in Seattle. Next: Part 24, Can Your Podcast Pay for Itself? Sponsorships and Monetization 101.