Analytics

Jumpseller Analytics gives you a complete view of your store’s performance — sales, customers, products, traffic, conversion, and marketing — all in one place. This article walks you through the Analytics overview, the Reports library, and the controls (date range, comparison, granularity, CSV export) that every report shares.

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The Analytics overview

The Analytics entry in the sidebar opens a dashboard that summarizes the most important metrics for your store. By default, you’ll see eight KPI tiles plus an Overview chart that combines paid orders, pending orders, and visitors over time.

The default KPI tiles are:

Tile	What it shows
Revenue	Total revenue from paid orders in the selected period.
Paid Orders	Number of paid orders in the selected period.
Average Order Value	Mean total of paid orders in the period.
Conversion Rate	Paid orders divided by visitors, expressed as a percentage.
Visitors	Unique store visitors in the period.
Returning Customers	Share of paid orders from customers who've bought before.
Gross Profit	Sum of gross profit across paid-order line items.
Pageviews per Visitor	Average pageviews per visitor session — a proxy for storefront engagement.

Each tile shows the delta vs. the previous period as a green (up), red (down), or neutral (=) pill underneath the value, so you can spot momentum at a glance.

Click any widget to open the full report

Every tile and the Overview chart are real reports. Click the arrow icon at the top-right of any widget (or click the widget itself) to drop straight into the full report with date ranges, comparison, granularity, and CSV export.

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Shared report controls

These controls work the same way across the dashboard and every report you open.

Date range

To unlock the full historical date range on reports, save custom reports, and edit the dashboard, you’ll need to be on the Advanced plan.

Pick the period you want to analyse. You can use a standard preset (last 7 days, last 30 days, last 90 days, quarter to date, year to date, etc.) or a custom range. Click once on a start date in the calendar, then click again on the end date.

Compare

Turn on Compare → Previous period to overlay the previous, equally-long period on your charts and show deltas in your tables. On the dashboard, KPI tiles use this to show their percentage change; inside reports, charts get a dashed comparison line.

Granularity (Day / Week / Month)

Toggle between Day, Week, and Month to roll the data up or down. As a rule of thumb:

• Day — useful for shorter ranges (30 days or less). Best for spotting spikes and dips.
• Week — best for medium ranges (1 to 6 months). Smooths daily noise.
• Month — best for longer ranges (6 months to over a year). Best for trend analysis.

Filter, sort, and search the table

Below the chart, every report shows a sortable table. Click any column header to cycle through descending → ascending → reset. Use the Filter rows… input to narrow the table down to a specific product, channel, source, or anything else the report tracks.

Export to CSV

The Export CSV button at the top right of every report downloads the table as a CSV based on the period you’ve selected. The file is sent to your email if it’s large; small reports download directly.

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The Reports library

The Reports entry in the sidebar opens the library of every built-in report on Jumpseller — 43 of them, grouped into six categories.

Use the search bar at the top to find a specific report by name, or filter by category. The categories are:

Category	What you'll find	Reports
Sales	Revenue, AOV, orders, refunds, payment methods, shipping methods, tax, and channel breakdowns.	15
Customers	Buyers location, cohort revenue, first-time vs. returning, top spenders, returning customers.	6
Products	Best-selling products and per-variant performance.	2
Traffic	Visitors, pageviews per visitor, top referrers, most-searched terms, searches without results, traffic sources, device / browser / OS breakdowns.	10
Conversion	Conversion funnel, abandonment rate, abandoned cart value, abandoned orders over time and by payment method / campaign.	6
Marketing	Customer acquisition by referrer, revenue by last-touch source, revenue by traffic type, best-selling campaigns.	4

Notable reports to start with

Most merchants find these the most useful on day one:

• Revenue Over Time — daily revenue from paid orders, with comparison to the previous period.
• Conversion Funnel — add-to-cart → reached checkout → paid, with drop-off at each step.
• Buyers Location — where your paid-order revenue comes from, on a world map.
• Best-Selling Products — top products by units sold in the range.
• Cohort Revenue — paid revenue grouped by the customer’s acquisition month, useful for retention analysis.
• Abandoned Cart Value — revenue left on the table from orders that never cleared payment.
• Revenue by Last-Touch Source — attributes paid revenue to the source that brought the customer in on the order-converting visit.
• Refund Rate — share of orders that ended in a refund, useful for surfacing payment or fulfilment problems.

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Customize the dashboard (Advanced plan)

Stores on the Advanced plan can rearrange the Analytics dashboard. Click the Edit button in the top-right to enter editing mode.

In editing mode you can:

• Add a widget — pick any built-in or custom report from a picker and drop it onto your dashboard.
• Remove a widget — click the trash icon on the widget you want to remove.
• Move and resize widgets — drag a widget to a new position, or grab the edge to resize.
• Reset to default — restore the original dashboard layout if you want to start over.

Click Save to keep your changes or Cancel to discard them.

Tip: Build a dashboard that mirrors how you actually run the business. Some merchants pin Revenue, Refund Rate, and Conversion Funnel to the top; others put Best-Selling Products and Cohort Revenue front and center.

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Build your own reports (Advanced plan)

Need a number we don’t ship out of the box? Stores on the Advanced plan can build their own reports using the + New Report button at the top right of the Reports library. Custom reports use exactly the same renderer as the built-in ones, so there’s no performance penalty for building your own.

A custom report has six parts:

Field	What it does
Title	Shown on the report card and used to derive the URL slug.
Description	One-line explanation that appears on the report card.
Category	Where the report appears in the Reports library (Sales, Customers, Products, Traffic, Conversion, or Marketing).
Data Type	The underlying dataset the report queries (e.g. Orders, Sessions, Line Items, Visitors).
Chart Type	Bar, line, area, pie, table, or KPI card.
Measures	The numbers the report shows. Each measure has an aggregation (sum, count, avg, min, max) and a field. Measures can be conditional, e.g. sum(total) WHERE status_enum = 'refunded'. Up to 10 measures per report.
Breakdowns	How to group the data. Use a dimension (e.g. product_category) and optionally a time bucket (day, week, month). Up to 3 breakdowns per report.
Filters	Narrow the rows that feed the measures. Up to 10 filters per report.

As you edit, the right side of the page shows a live preview of both the dashboard widget and the underlying table — so you can confirm the report does what you want before saving.

Example: Refund rate by product category

A typical custom report — visible in the preview above — might be:

• Measures: sum(total) WHERE status_enum = 'refunded'
• Breakdowns: product_category, day
• Chart type: Bar
• Category: Sales

Once saved, this report lives in your Reports library alongside the built-in ones. You can also pin it to your dashboard from the Edit mode described above.

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Frequently asked questions

How fresh is the data?

Order and customer data is reflected in Analytics within a few minutes of the event. Traffic data (visitors, pageviews, sessions) is reflected within roughly an hour.

Can I share a report with my team?

Yes. Every report has a sharable URL — click the link icon at the top right of the report to copy it. Anyone with admin access to your store can open the link.

Does the report builder support SQL?

The builder uses a structured form (measures, breakdowns, filters) rather than free-form SQL, so the same report definition can power both the dashboard widget and the underlying table without you writing any code. If you have a specific need the builder can’t express, reach out.

Why are some delta percentages very large?

Percentage changes against a period that had zero or very small values can look extreme (e.g. “+1,202.56%”). This is expected behaviour — the comparison is mathematically correct, but you should focus on the absolute numbers in those cases.

Final considerations

Depending on the size of your catalog and order volume, very long ranges (multiple years) may still take a few seconds to load. For everyday analysis, day/week/month ranges open in well under a second.

You can contact us any time with questions about your reports — we’re happy to help you interpret a specific chart or build a custom report for a question you can’t answer with the built-in ones.