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Pocketsflow analytics show how your products, storefront, and subscriptions are performing. Everything is computed from the same order, subscriber, and page-view data that powers the rest of your dashboard, so the numbers reconcile with Orders & customers.

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Sales & order metrics

Sales

Total gross revenue over the selected period (one-time sales, converted to a common currency where needed).

Orders

Count of successful one-time purchases.

Customers

Number of unique buyers (deduplicated by email).

Conversion rate

Buyers ÷ unique visitors, as a percentage — combining one-time orders and new subscriptions against unique visitors to your pages.

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Traffic metrics

Pocketsflow tracks visits to your storefront, product pages, and creator page:
  • Visitors — unique visitors (deduplicated by visitor).
  • Page views — total page loads.
  • Product clicks / link clicks — engagement on your creator page, used for the creator-page breakdowns.
Conversion rate ties these together: (orders + new subscriptions) ÷ unique visitors × 100. If you have lots of visitors but a low conversion rate, the bottleneck is usually the offer or the checkout, not traffic.

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Subscription metrics

For recurring revenue you get a dedicated set of figures:
Only active and trialing subscribers count toward MRR and active- subscription totals. past_due, paused, canceled, and refunded subscribers are excluded — see subscription status.

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Email metrics

If you use newsletters and automations, analytics also surface email engagement for the period: sent, opened, clicked, and unsubscribed counts, so you can see how broadcasts drive traffic and sales.

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Filters and breakdowns

Analytics can be filtered by:
  • Date range — the primary control; nearly every metric respects it.
  • Product — focus on a single product’s sales, orders, and traffic.
  • Subscription plan — isolate one recurring offer.
You’ll also find breakdowns such as customers by country and per-day charts of visitors, sales, and subscribers, so you can compare performance before and after a launch or promotion.

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Using analytics to iterate

Change the copy or layout on a product page, then watch conversion rate and average order value over the following weeks.
Try an alternative price point and watch how sales and conversion respond — more conversions at a lower price don’t always mean more revenue.
Track upsell attach and revenue against any impact on primary conversion. See Upsells & bundles.
Rising past_due or falling active counts signal churn or failed renewals before MRR reflects it.

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Exporting data

To analyze in external tools, use the CSV exports from Orders & customers (orders and subscriptions, full or since-last-export) and combine them with your accounting exports for a complete picture.