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Documentation Index

Fetch the complete documentation index at: https://docs.quickshops.app/llms.txt

Use this file to discover all available pages before exploring further.

The Analytics page gives you a clear picture of how your store is performing over time. You can see revenue and order volume charted day by day, compare different time windows, and — if you sell subscriptions — track your monthly recurring revenue and active subscriber count. Use these numbers to understand what is working and where to focus your attention.

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Accessing analytics

Go to Dashboard → Analytics to open the analytics view. Use the time range selector in the top right to switch between Last 24 hours, Last 7 days, Last 30 days, and All time.

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Key metrics

Revenue

Total net revenue collected in the selected period, shown after platform fees.

Orders

The number of paid orders placed during the selected period.

Avg. order value

Revenue divided by order count for the period. Helps you understand how much each sale is worth on average.

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Revenue and orders charts

Below the summary cards, two area charts show how revenue and order volume have trended across the selected time window. These charts update whenever you change the time range, so you can compare a recent spike against a longer baseline.
Revenue figures are net of Quickshops platform fees. The amount shown is what you actually received for that period.

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Subscription metrics

If you have any subscription products and at least one subscriber, an additional section appears with metrics specific to recurring revenue:
  • MRR (Monthly Recurring Revenue) — the total recurring revenue you can expect each month from active subscribers
  • Active subscribers — the number of subscribers currently on a paid, active plan
  • Churn rate — the percentage of subscribers who have cancelled, giving you an early signal if retention needs attention
Subscription metrics only appear once you have at least one subscriber. If you have not sold any subscriptions yet, this section will not be visible.

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Using analytics to make decisions

The most direct use of analytics is spotting your busiest periods and your top-performing products. If you see a revenue spike on a particular day, cross-reference it with any promotion or content you published around that time to understand what drove the lift.
Run a promotion with a discount code and then check Analytics for the same period to measure how much revenue that campaign generated. Comparing the order count and revenue before and after a campaign gives you a concrete return on any promotion you run.