Substack analytics

Substack Analytics That Explain What To Publish Next

Ian Kiprono, Founder of NarrareachUpdated July 16, 2026

Narrareach adds an action layer to Substack analytics. Review article growth metrics, Notes performance, traffic sources, publishing activity, and subscriber movement together; keep direct conversions separate from correlations; then use Reach AI to identify patterns and prepare the next Note, article angle, or platform-specific draft for review.

At a glance

Substack content, traffic, and subscriber analytics

Narrareach brings Substack article metrics, Notes performance, traffic sources, subscriber movement, and supported cross-platform activity into the publishing workflow, then helps turn the strongest patterns into review-ready follow-up ideas.

Start free - no credit card required See which content brought subscribers

Narrareach places analytics beside the scheduling queue, so performance informs the next publish decision.
The page-level workflow connects Substack outcomes with Medium, LinkedIn, X, Bluesky, and Threads distribution.
Resonance signals make follow-up planning easier than reading raw dashboard numbers alone.

What this page covers

What does Substack analytics show?Substack metrics explained: views, opens, reads, and subscribersCompare Substack Notes performance with article performanceUnderstand Substack traffic sources and subscriber attribution

Connect Substack, review the available evidence, and turn one useful pattern into the next draft.

The problem

The manual version gets old fast.

Substack already reports useful publication, post, growth, and subscriber metrics. The gap appears after the numbers arrive: views, opens, reads, likes, restacks, traffic sources, free subscriptions, paid subscriptions, and revenue answer different questions and should not be collapsed into one score.

Writers still need to decide whether a high-view article attracted the right readers, whether a quieter Note was associated with subscriber movement, whether an external channel sent qualified traffic, and whether the topic deserves another publishing cycle.

Narrareach keeps the available evidence beside the content and schedule. Direct platform-reported outcomes remain direct, broader activity relationships remain correlations, and Reach AI helps translate recurring patterns into an editorial action the writer can review.

Quick answer

What Narrareach does for you

Substack analytics are most useful when they are tied back to the publishing decisions that created them: topic, format, timing, and distribution channel.

Growth strategies Best time to post Grow on Substack

Workflow

1Connect the Substack profile and let Narrareach associate posts, Notes, and imported articles with the same workspace.
2Review which posts earned attention, which Notes created momentum, and which platforms sent useful follow-up signals.
3Group winning topics by format so you can decide whether to write another article, Note, or LinkedIn adaptation.
4Turn the best-performing ideas into the next scheduled batch instead of leaving analytics in a separate tab.

What Narrareach adds

Narrareach places analytics beside the scheduling queue, so performance informs the next publish decision.
The page-level workflow connects Substack outcomes with Medium, LinkedIn, X, Bluesky, and Threads distribution.
Resonance signals make follow-up planning easier than reading raw dashboard numbers alone.

Limits to know

Narrareach does not replace Substack billing, payouts, or subscriber-management reporting.
Some metrics depend on platform access and cached sessions, so reconnect prompts should be treated as part of maintenance.

Inside Narrareach

Review Substack performance beside subscriber growth

The Narrareach analytics view keeps publication growth, views, email performance, engagement, and best-performing Notes in one review surface so the writer can move from the result to the next publishing decision.

Narrareach Substack analytics dashboard showing subscribers, views, open rate, engagement, growth, and best-performing Notes — Narrareach preserves the metric type and date context instead of combining every signal into one opaque score.

What does Substack analytics show?

Substack exposes analytics through the publication Home view, individual post details, Growth reporting, Stats, and the subscriber dashboard. Together these surfaces describe publication size, free and paid subscribers, annualized revenue, post attention, email performance, growth outcomes, and the sources Substack can identify.

Individual post metrics answer questions about one article: how many people viewed or opened it, how readers engaged, and what subscription or revenue outcomes Substack attributes to that post where those fields are available. Publication-level reports show trends across time and sources.

The correct starting point is Substack's own metric definition. Narrareach does not replace native billing, payouts, subscriber administration, or the source-of-record status of Substack's direct post metrics. It brings the metrics needed for editorial decisions into the same workflow as Notes, articles, cross-posts, and the next schedule.

Use Substack as the source of truth for native subscriber, billing, and post-growth metrics.
Compare the same metric across similar content rather than mixing articles, emails, and Notes without context.
Record the date range and source whenever a number is used in a report or public claim.

Substack metrics explained: views, opens, reads, and subscribers

Views measure recorded attention to the post. Opens estimate how many intended recipients viewed an emailed or app-delivered post, but open tracking depends on image loading, previews, app behavior, and privacy controls. Substack therefore treats an open as a useful platform metric, not a perfect record of human attention.

Likes, comments, restacks, and shares describe engagement. Free and paid subscriptions describe audience growth. Revenue describes a commercial outcome. Traffic sources describe the path Substack could identify. A strong analysis preserves these differences instead of treating the largest number as the winner.

A practical comparison is subscriptions relative to the attention a post received, while keeping free and paid outcomes separate. That helps distinguish discovery content, trust-building content, conversion content, and community content without assuming every article has the same job.

Treat opens as an estimate affected by email and app behavior, not an exact readership count.
Separate attention, engagement, audience growth, and revenue before comparing posts.
Compare free subscriptions and paid subscriptions as different outcomes.

Compare Substack Notes performance with article performance

Articles and Notes play different roles. An article can earn email opens, reads, direct post-level subscription outcomes, and revenue. A Note can create discovery, conversation, profile visits, restacks, and repeated exposure before a reader chooses to subscribe through another path.

Narrareach keeps the formats separate while making them comparable by topic, publishing date, and subsequent audience movement. A Note is not credited with a direct subscription unless the available evidence supports that claim. Otherwise it remains an activity correlation worth testing again.

This prevents a common analytical mistake: dismissing a useful Note because it did not behave like an email, or calling every subscriber increase after a Note direct attribution. The writer gets a ranked set of evidence rather than false certainty.

Compare Notes with other Notes and articles with other articles before drawing format-level conclusions.
Look for repeated topic and format patterns across several publishing cycles.
Open the subscriber-attribution view when the question is specifically which content brought subscribers.

Understand Substack traffic sources and subscriber attribution

Traffic sources explain where Substack could identify a reader or subscription path. Internal Substack surfaces, recommendations, search, email, direct visits, and external platforms may appear with different levels of detail. Direct and Direct to App can remain ambiguous when referral data is unavailable.

Narrareach reviews those sources beside the publishing timeline and supported cross-platform activity. A tracked campaign or platform-reported source provides stronger evidence than a simple timing relationship. Unknown traffic remains unknown rather than being assigned to the most convenient channel.

For deeper analysis, the subscriber-attribution workflow separates direct post-level subscriptions, source attribution, activity correlations, and unattributed movement. That distinction makes the output safer for business reporting and more useful for editorial experiments.

Use consistent tracked campaign parameters when source-level measurement matters.
Keep Direct and Direct to App unattributed when the original source cannot be established.
Use direct evidence for reporting and correlations to design the next test.

Turn analytics into the next publishing decision with Reach AI

A dashboard becomes valuable when it changes the next decision. Reach AI can compare the available topic, format, source, and platform patterns, explain why a result may deserve another test, and prepare a follow-up draft from content the writer selects.

A high-converting article can become a sequence of Substack Notes. A Note with strong engagement and a corresponding subscriber pattern can become a deeper article. A LinkedIn adaptation that sends identifiable qualified traffic can become the model for another professional-audience post.

The writer remains in control. AI recommendations and variations are review-ready drafts, not automatic conclusions or unsupervised publishing instructions. The workflow closes the loop from measurement to interpretation, creation, review, and scheduling.

Ask why the pattern matters before asking AI to generate more content from it.
Create platform-specific variations from the source material instead of copying one post everywhere.
Review the factual claims and final angle before scheduling an AI-assisted draft.

A weekly Substack analytics review writers can maintain

Start with publication movement: free subscribers, paid subscribers, and revenue where relevant. Then review the strongest and weakest articles by the outcome each article was intended to create. Next, inspect Notes and traffic sources for recurring topic or distribution patterns.

Choose one action from the evidence. Repeat a direct winner, test a promising correlation, revise a weak conversion path, or stop spending time on a channel that repeatedly creates attention without the outcome the publication needs.

Finish the review inside the publishing queue. Create the next draft, assign its channel and time, and record what the next cycle is intended to test. A short repeatable review is more useful than an occasional analytics export with no editorial consequence.

Review one consistent date range so week-to-week comparisons remain meaningful.
Choose one or two editorial actions instead of reacting to every metric movement.
Write down the hypothesis behind the next post so the following review has a clear question.

Sources and methodology

Definitions grounded in current platform documentation

A guide to Substack metricsSubstack's current definitions for publication overview, post performance, growth, subscribers, revenue, and traffic sources.How Substack captures opensSubstack's explanation of open tracking, image loading, app behavior, privacy settings, and rate calculation.Substack post stats in the appSubstack's current overview of mobile post performance and subscriber engagement views.

How Narrareach solves it

Keep the publishing system close to the writing.

Unified analytics - so you can compare performance across Substack, Medium, LinkedIn, X, Bluesky, and Threads

Direct and correlated outcomes - so platform-reported conversions remain distinct from directional Notes and cross-platform patterns

Traffic and subscriber context - so sources and audience movement can be reviewed beside the content and publishing timeline

Reach AI recommendations - so recurring evidence can become an explained next experiment and a review-ready follow-up draft

Substack and Narrareach answer different analytics questions

Use Substack for native publication and post metrics. Use Narrareach to connect those signals to the wider publishing system and the next editorial action.

Question	Substack	Narrareach
How did this article perform?	Native post, email, growth, and revenue metrics	Keeps the result beside the source and next workflow
How did this Note perform?	Native Notes views and engagement	Compares Notes patterns with publishing and subscriber context
Where did readers come from?	Native traffic-source reporting	Reviews sources beside supported distribution activity
Which content brought subscribers?	Direct article growth where reported	Separates direct outcomes, source attribution, correlations, and unknowns
What should I publish next?	Writer interprets native reports	Reach AI explains patterns and prepares review-ready follow-up drafts

Metric availability depends on Substack and each connected platform. Narrareach does not convert missing evidence into claimed attribution.

“I love all the AI support, from generating notes from my already posted articles to analyzing what is working best in my field.”

Neosol, Content creator

Start here

See what your writing is actually doing

Connect Substack, review the available evidence, and turn one useful pattern into the next draft.

Start free - no credit card required

Questions writers ask

What analytics does Substack provide?

Substack provides publication overview, post performance, growth, traffic-source, subscriber, and revenue metrics across its Home, post details, Growth, Stats, and subscriber surfaces. Availability can vary by publication type and content.

Does Narrareach replace Substack analytics?

No. Substack remains the source of truth for native publication, subscriber, billing, and direct post metrics. Narrareach places the useful performance signals beside Notes, supported cross-platform activity, the publishing timeline, and the next editorial workflow.

Can I see which Substack content brings subscribers?

Yes. Start with direct article-level subscription metrics and traffic sources where Substack supplies them. Narrareach's subscriber-attribution workflow then reviews Notes and supported cross-platform activity beside subscriber movement while clearly labeling correlations.

How accurate is Substack open rate?

Open rate is a useful platform estimate, not a perfect count of human reading. Substack documents that opens can be affected by image loading, previews, app notifications, privacy settings, and text-only email behavior.

Can I compare Substack Notes with articles?

Yes, but compare them by their intended job. Articles can include direct email, post-growth, subscription, and revenue outcomes. Notes are often stronger discovery and engagement surfaces, so their relationship with subscriber movement may be correlational unless a direct path is available.

Can Narrareach compare Substack with LinkedIn and Medium?

Narrareach can place supported publishing and performance signals from connected channels in the same workflow. Metric definitions differ by platform, so the product preserves platform context rather than pretending every view or engagement is directly equivalent.

Can AI tell me what to publish next?

Reach AI can compare available patterns, explain a suggested next test, and prepare follow-up drafts from source material you select. The recommendation remains an editorial aid, and the writer reviews the final angle and copy before scheduling.

Is Substack analytics useful for a small publication?

Yes, but small samples require restraint. Direct post outcomes can still be useful, while broad claims about topics, formats, or channels should wait until the publication has repeated the pattern across several publishing cycles.

Narrareach LLM connector

Connect Claude, ChatGPT, or any MCP-compatible agent to read drafts, schedule posts, and automate Substack, Medium, LinkedIn, X, Bluesky, and Threads workflows.

Read the docs