Where do I find downloads in ART19?

Open your series in ART19 and go to its analytics Overview tab. That tab shows downloads for today, the last 7 days, the last 30 days and all time, each with a percentage change against the previous period.

Can I export a full episode list with downloads from ART19?

Yes. On the Content page, the Top Episodes card has a View All Episodes link, which lets you view and export the full episode list with downloads for your selected date range.

Why do ART19 downloads differ from Apple Podcasts or Spotify?

ART19 counts requests for your audio file. Apple Podcasts and Spotify report their own plays, followers and engagement measured inside their apps. Different events, different totals, and neither report is broken because of the gap.

ART19 downloads: where to find and compare them

ART19 downloads live in the analytics Overview tab for each series. Open the series, look at the Overview tab for the headline totals, then move to the Content page for episode-level detail and the Audience page for countries and listening platforms. Set the date range first, because every number on those pages responds to it.

ART19's own content analytics documentation says the reporting updates in near real time, which is why a number you quote in the morning can change by the afternoon.

How to see ART19 downloads

Sign in to ART19 and select the series you want to review.
Open the analytics Overview tab. Read the download totals for today, last 7 days, last 30 days and all time.
Set your window with the Calendar button at the top right. The panel has a Date Range dropdown with presets such as Last 90 Days, plus a custom range.
Open the Content page for the top 10 episodes by downloads over that range, and for downloads split by feed.
Open the Audience page for the top 10 countries, the top listening platforms, and downloads by distribution type.
Use the View All Episodes link on the Top Episodes card when you need the complete episode list rather than the top 10, and export it from there.

The percentage change on the Overview tab compares your selected period with the one before it. That is useful for spotting a real move and misleading for judging a single release, because a week containing two episodes will always look better than a week containing one.

For the longer reporting workflow around these screens, use our ART19 analytics guide and how to track podcast analytics.

Pick the view that matches your question

Each ART19 page answers a different question, and using the wrong one is how a review turns into guesswork.

Question	Where to look
Is delivery trending up or down?	Overview tab totals and percentage change
Which episodes pulled the most requests?	Content page, Top Episodes card
Which feed delivered them?	Content page, downloads by feed
Where are the requests coming from?	Audience page, top countries
Which apps requested the audio?	Audience page, listening platforms

Downloads by feed deserves attention if you run a private subscriber feed, a syndication partner feed, or a regional feed alongside your public one. A flat total across all feeds can hide the fact that your public feed shrank while a partner feed grew.

Compare episodes at the same age

An episode published three months ago has had three months to collect requests. A release from Tuesday has had a few days. Comparing their all-time totals mostly measures how long each has been available.

Pick a fixed window instead, such as the first 30 days after publication, and read every episode at that same age. Then record what you compared: the series, the episode names, the date range, the filters, and the date you checked. Near real-time reporting means a fresh release keeps moving while you are looking at it, so an undated screenshot is not a record.

If you want the wider metric vocabulary before you start, read what is a podcast download? and podcast downloads vs listens.

What ART19 downloads cannot tell you

A host observes requests for the audio file. It does not observe whether someone reached the end, skipped the ad, or followed the show inside an app, because those events happen after delivery and belong to the listening app.

Keep the sources in separate columns:

ART19 downloads: requests for your audio, measured host-side
Apple Podcasts and Spotify: plays, followers and engagement measured inside those apps
Prefix analytics: requests observed after a third-party prefix is installed

Do not add those columns together. A combined figure double-counts the same listener and produces an audience number you cannot defend to a sponsor.

Adding Podder to an ART19 show

ART19 does not expose a self-serve prefix field. Adding one means emailing ART19 support with your show name and the prefix URL, and their confirmation is followed by up to 24 hours before it takes effect. Our ART19 prefix installation guide has the exact request template to send.

Once installed, the prefix starts observing from that moment. It does not recreate the history ART19 already holds, so compare only the overlapping period and keep each provider's earlier baseline separate. Mark the installation date in your notes so nobody later reads the start of a new series as a drop in the old one.

A gap you can trace to a prefix installed on a known date is a fact. The same gap without that date turns into an argument with whoever is reading the report.

Start tracking your show with Podder to see requests across every app in one place alongside your ART19 reporting.