# Substack Analytics: What the Dashboard Tells You, and What It Can't > The four Substack stats tabs and what each is good for — plus the one question Substack's analytics cannot answer, and how to answer it yourself. Source: https://supascribe.com/guides/substack-analytics Last updated: 2026-09-30 --- Substack's analytics are better than most writers realise, and blind in exactly one place. This guide covers what each part of the dashboard is actually good for, which numbers to trust, and the one question it cannot answer. ## What Substack Gives You Substack's stats live in four broad areas. **Overview** is the top-level picture: total subscribers, paid subscribers, and annualised revenue. Useful for a monthly glance, not much use for deciding what to do next. **Post stats** show how each issue performed — opens, clicks, and how many subscriptions it drove. This is the most actionable view in the dashboard, because it tells you which topics convert readers into subscribers rather than just which get read. **Growth** breaks down where new subscribers came from *inside the Substack ecosystem*: Notes, Recommendations, the app, direct visits, and other publications. If most of your growth is happening on Substack, this is the view that tells you what is working. **Audience and retention** show how subscribers behave over time — who opens, who lapses, who converts to paid. For a writer whose growth happens on Substack, that is a genuinely complete picture. ## Which Numbers to Trust Not all of them are equally solid, and it is worth knowing which is which. **Open rates are the weakest number in email, everywhere.** Since Apple Mail Privacy Protection began pre-loading images in 2021, a meaningful share of "opens" are Apple's servers rather than readers. This is not a Substack problem — it affects every email platform — but it means open rate is a trend line, not a measurement. If your open rate moves 3%, that is noise. **View counts are directional.** A view is counted when a post is opened, which bundles email reads, app reads and web visits into one number. It is fine for comparing your own posts against each other. It is not comparable to a pageview in a web analytics tool, and comparing your numbers to another writer's is largely meaningless. **Clicks and subscriber conversions are the reliable ones.** Both require a deliberate action, so neither is inflated by privacy proxies. If you optimise against one set of numbers, optimise against these. When a metric moves, check whether the underlying action required a human decision. Opens and views often do not. Clicks, subscriptions and unsubscribes always do. ## The Question Substack Can't Answer Here is the gap, and it only matters if you are driving traffic from your own website. Substack sees a subscriber the moment they arrive on its list. It does not see what happened before that. So if you have a subscribe form on your site — in your sidebar, at the end of your posts, on an about page, in a popup — Substack has no way to distinguish between them. They all arrive looking the same. That leaves you unable to answer basic questions: - Does the form at the end of a post convert better than the one on the homepage? - Did the popup earn its interruption, or annoy people for nothing? - Which page on my site actually produces subscribers? - Did the rewrite I did last month help? You can get partway with Google Analytics on your own site, but GA tracks a form *submission event* only if you have wired one up, and it does not know whether that submission became a Substack subscriber. This is not a criticism of Substack. It is a boundary: Substack measures Substack. Anything happening on a website you own has to be measured by whatever you put on that website. ## Filling the Gap If you are only growing through Notes and Recommendations, you do not need to do anything here — Substack's Growth view already covers you. If you are driving traffic to your own site, you need per-placement numbers. Every [subscribe form](https://supascribe.com/embeds/subscribe), [feed widget](https://supascribe.com/embeds/newsfeed) and popup that Supascribe puts on your site reports independently: - **Views** — how many people saw that specific placement - **Submissions** — how many subscribed from it - **Conversion rate per placement** — so end-of-post and sidebar are directly comparable - **Which posts drive feed clicks** — separate from your Substack open rate Subscribers still land in your Substack list exactly as before. The difference is that you can now see which placement produced them, which is the input you need to improve anything. The same applies to [landing pages](https://supascribe.com/guides/substack-landing-page): each reports its own conversion rate, so a page written for a podcast audience can be compared against one written for a bio link. ## What to Actually Do With Any of This Three habits are worth more than any dashboard. **Compare against yourself, not benchmarks.** Placement, audience and traffic source vary so much between publications that industry averages tell you almost nothing. Your end-of-post form last month versus this month is a real signal. **Change one thing at a time.** If you rewrite the headline and move the form in the same week, you have learned nothing about either. **Pick the metric that matches the decision.** Deciding what to write about? Post stats and subscriptions-per-post. Deciding where to put a form? Per-placement conversion. Deciding whether to go paid? Retention and open rate on your most engaged segment. Looking at the wrong tab is how people conclude the numbers are useless. Substack's analytics answer "how is my publication doing". They were never built to answer "which part of my website is working". Knowing which question you are asking tells you which dashboard to open. ## Frequently asked questions **Q: Does Substack have analytics?** Yes. Substack's stats are spread across four areas: an overview of subscribers and revenue, per-post performance including opens and clicks, a growth view showing where new subscribers came from inside Substack, and audience data such as retention. It is solid for what happens on Substack. What it does not cover is what happened on your own website before someone arrived. **Q: Are Substack's view counts accurate?** They are directionally reliable but not comparable to a web analytics tool. A view is counted when a post is opened, which includes email opens, app reads and web visits, and email open tracking has been unreliable across the whole industry since Apple Mail Privacy Protection began pre-loading images in 2021. Treat views as a trend line rather than an exact number, and treat clicks and subscriber conversions as the numbers worth optimising. **Q: Can I connect Google Analytics to Substack?** Yes. Substack supports a Google Analytics property under Settings, which tracks visits to your Substack pages. It does not follow a reader backwards to the website they came from, and it does not report on subscribe forms you have placed on your own site. **Q: How do I find out where my Substack subscribers came from?** Substack's growth view attributes subscribers to sources inside its own network — Notes, Recommendations, direct traffic and so on. For subscribers captured on your own website it will generally show a single undifferentiated bucket, because Substack cannot see which page of your site the form was on. Per-placement tracking has to come from whatever you used to build the form. **Q: What is a good conversion rate for a newsletter signup form?** It depends heavily on placement and traffic quality, which is why a single industry benchmark is close to useless. A form at the end of a post typically outperforms one on a homepage because the reader has already decided you are worth reading. The number that matters is your own rate for each placement, compared against itself over time.