How to Track Substack Notes Engagement (Since Substack's Own Dashboard Only Shows So Much)

Published: September 2026

Short answer: Substack does have native Notes analytics — go to Growth → Notes in your dashboard, and you'll see likes, replies, shares, and subscriber attribution per Note. It's real data, and it's free. But it has real gaps too, mainly around history length and content-type breakdowns, which matter a lot once you're trying to actually act on the numbers instead of just glancing at them.

Here's what Substack's own stats give you, what they don't, and how to close the gap.

What Substack's native Notes stats actually show

Every Substack account, free or paid, gets basic Notes insights from day one — you don't need a paid plan or a minimum subscriber count. In your dashboard, drilling into Growth → Notes surfaces your Notes sorted by how many new subscribers each one drove, and opening a specific Note shows free subscriptions, paid subscriptions, followers, clicks, shares, and likes attributed to it. Numbers become available within 24 hours and generally refresh hourly.

That's genuinely useful for a quick "did this Note do anything" check. The limitations show up once you try to use it for anything more strategic.

Where the native stats fall short

History window. Substack's own dashboard doesn't keep a long lookback — you can see recent performance, but there's no easy way to compare this month against your first month, or spot a slow six-month upward trend, without exporting and tracking it yourself.

No content-type breakdown. Substack shows you that a Note got 40 likes, not what kind of Note it was. That distinction turns out to matter a lot — an analysis of over 3,200 real Notes across nine creators (Build to Launch) found that plain text Notes consistently outperformed Notes with links or images, and that the most-posted format among the creators studied (link posts) was actually their worst-performing one. Without tracking content type separately from raw engagement, you can't see a pattern like that in your own account at all.

Only counts what happens on Substack. If you cross-post a Note's idea to LinkedIn or X and it takes off there, Substack's own numbers won't reflect any of that activity — which is fine if you only publish on Substack, but worth knowing if you don't (Narrareach).

No comparison to your own baseline. A Note getting 60 likes might be a great result for one account and a below-average one for another. Substack's dashboard shows the raw number, not whether it's actually better or worse than what you normally get.

How to track it properly without a spreadsheet habit

The manual fix is straightforward but tedious: keep a running log of every Note, its content type (personal story, question, list, quote, link), the date and time posted, and its final engagement numbers, then periodically review for patterns. It works, but most people stop doing it after a few weeks.

The alternative is a tool that logs this automatically as you post, so the breakdown exists without you having to maintain it.

What NotesIQ tracks that fills these specific gaps

NotesIQ is built directly around the gaps above rather than duplicating what Substack's own dashboard already does well:

• All-time history, not a short rolling window — so you can see your actual trend since your very first tracked Note, not just recent activity.
• Content Type Breakdown — every Note is classified (Personal Story, Question, List/Tips, Quote/Repost) and ranked by engagement, so you can see directly which format is actually working for your specific audience, the same kind of pattern the 3,200-Note study above found.
• Viral Alert, compared against your own historical average — not a generic benchmark — so you know immediately when a Note is meaningfully outperforming your norm, not just posting a big-looking number.
• A Best Time Heatmap layered on top of the same engagement data, so timing and content type show up together instead of as two separate investigations.

All of it reads from your own already-logged-in Substack session — nothing needs to be re-entered or exported.

Putting it together

Substack's native stats are a legitimate starting point and cost nothing to check. The moment you want to know why something worked — not just that it did — you need the content-type and historical layers that the native dashboard doesn't provide. Track both, and act on the version that's specific to your own audience rather than a platform-wide average.

See engagement, content type, and timing in one view. NotesIQ tracks all three automatically from your own Substack Notes history.

Sources

• Build to Launch — analysis of 3,230 Substack Notes across 9 creators
• Narrareach — what Substack's native Insights doesn't show you