Outlier
Clip 1 hit 3.4× your TikTok baseline
The "cultural shift is the hard part" cut crossed 240K plays in 18 hours. The hook landed in the first 1.1 seconds. That’s the new pattern to copy.
TikTok · 18h ago
Insight · what’s working
One number, not one hundred dashboards
Mato pulls performance from every destination. Apple, Spotify, YouTube, TikTok, Reels, the long tail. Rolled up into the metrics that move shows. Listens, completion, retention, what to do next.
- Platforms unified by default
- 14
- Insight types · written, not graphed
- 7
- Refresh · first thing in the morning
- Daily
Episode 47 · 7 days post-publish
The numbers that mean something
Podcast analytics across all directories, IAB-compliant.
Social media analytics Coming soon
Total listens
42.8K
↑ +18% vs last 7
IAB-compliant, deduplicated across all 14 destinations. Not a sum of platform numbers. A true count.
Completion rate
71%
↑ +4 pts
Listened past 90% of runtime. The single best signal of “this episode actually worked.”
New followers
+1.2K
↑ +34%
Net subscribers added across podcast directories and YouTube channel.
Avg. drop-off
23:14
↓ 3 min earlier
The moment most listeners stop. Mato shows you the transcript at that timestamp.
Thirty days
One curve, fourteen sources
Every directory reports on its own schedule and in its own units. Mato reconciles them into a single daily series, then shows you which destination carried it.
Listens · last 30 days
All platforms · daily
Peak day
4.8K
Apr 18
Daily avg
1.4K
↑ 22%
30d total
42.8K
↑ 18%
30d ago↑ Ep 47 publishedtoday
By platform
7d · listens · share of total
- Spotify34% share14.5K
- Apple Podcasts28% share12.0K
- YouTube22% share9.4K
- Overcast9% share3.9K
- Pocket Casts4% share1.7K
- 9 others3% share1.3K
Retention map Coming soon
See the moment they leave
Drop-off, mapped to the transcript. Hover any second. Mato shows you what was being said. It turns retention from a vanity number into a list of edits to make.
- Mid-roll detectionAutomatic exclusion of ad breaks from your hold metric
- Episode-over-episodeCompare retention curves across 4 episodes at once
- Cohort splitsNew listeners vs. repeat · different curves, different fixes
Retention · Episode 47
All platforms · 47:18 runtime
0:00↑ ad break · 23:1447:18
At 23:14 →
“…and we’ll be right back after a quick word from our sponsor.”
Insights, not just charts Coming soon
Mato writes the summary for you
Charts are great, once you know what to look at. Mato spots it for you and explains, in a sentence, what to do next.
Drop-off
Big exit at 23:14. The ad break
33% of listeners stopped at the mid-roll. Your previous 4 episodes used a host-read spot here and held. Worth A/B testing the placement.
All podcast platforms
Next move
Reels is your fastest-growing channel
Up 84% MoM, but you’re publishing 2 clips per episode there vs. 5 on TikTok. Mato can mirror your TikTok queue automatically. One toggle.
Instagram Reels
Analytics FAQ
The numbers, explained
IAB (Interactive Advertising Bureau) sets the standard for how podcast downloads and listens are counted. IAB-compliant analytics filter out bots, crawlers, and duplicate requests so every number you see reflects a real human listener. Mato follows the IAB Podcast Measurement Technical Guidelines v2.2, the same standard used by Spotify, Apple, and every major ad buyer.
Pairs with
Make the numbers do something
01Clip generationFeed performance back into what we cutPast viral moments train your scoring model. Each episode, Mato gets sharper.02SchedulingPublish when your audience is awakePer-platform peak times, learned from your own data. Not generic playbooks.03150+ platformsPull from every destination, by defaultOne number, fourteen sources, zero CSVs. The math is already done.
Numbers, and
the next move
Stop staring at fourteen dashboards. Read the morning summary; act on it; go make the show.