Digistore24 Analytics shows you the key metrics of your business - all in one place.
See at a glance where your visitors come from, where they drop off, and how your revenue is developing. This way, you can quickly identify what's working - and where to make adjustments.
You'll find Analytics in the left sidebar. It consists of two areas:
- Overview page ("General analytics"): Your most important metrics at a glance - customizable to your needs.
- Topic dashboards: Go deeper - for example into funnels, revenue, products, or customers.
All areas use the same tools: filters, date range selection, and comparison. Once you know how they work, you'll find your way around everywhere.
Tip
To make sure your data is fully captured, set up your tracking first. You'll need a promocode or promolink for this. → Set up promocode and promolink for tracking
Structure: Overview page and topic dashboards
In the sidebar under Analytics, you'll find two levels:
- General analytics - the overview page. Here you see your most important metrics in one place. You can customize this page to your needs (more on this under "Customize your dashboard").
- Topic dashboards - grouped by categories like Funnel, Revenue, or Customers. Each dashboard answers a specific question about your business.
Note
As a vendor and as an affiliate, you'll see dashboards and metrics tailored to your role. The table below shows which dashboards are available for which role. The tools (filters, comparison, customization) work the same in both views.
Which topic dashboards are there?
Each dashboard is tailored to a specific question. The following table gives you an overview.
All topic dashboards at a glance
| Category | Dashboard | What questions does it answer? |
|---|---|---|
| Funnel | Traffic & engagement | Which traffic sources bring the most visitors? How high is the bounce rate before the order form? |
| Order form | How many visitors reach the order form - and how many complete the purchase? | |
| Conversion to sales | Where exactly in the funnel am I losing visitors - at the click, the form, or the checkout? | |
| Monetization | Order value & upsell | What is the average order value? How are my gross sales developing? |
| Revenue | Revenue overview | How much am I earning overall? How high are refunds and chargebacks? When are my next payouts? Vendor: Additionally includes a sales-to-earnings funnel (gross sales → gross revenue → earnings). |
| Products | Top products & revenue mix | Which products generate the most revenue and the most sales? |
| Campaign attribution | Which campaigns generate the most sales and the highest revenue? | |
| Profitability & efficiency | How much am I earning per click, per customer, or per order form visitor? What is lost to refunds and chargebacks? Vendor: Additionally shows merchant earnings and affiliate commissions. Affiliate: Shows affiliate commissions and earnings per funnel visitor. | |
| Customers | Lifetime value & loyalty | How much is a customer worth long-term? What is the repeat purchase rate? (Vendor only) |
| Churn analysis | How many cancellations are there and how much revenue is lost as a result? (Vendor only) | |
| Subscription | Subscription growth & value | How many active subscriptions do I have? How are new subscriptions developing? |
| Partnerships | Top performing partners | Who are my best affiliates? How high are commissions and CPA payments? (Vendor only) |
Filter, compare, choose date range
On every page in Analytics, you'll find the same tools. Once you know them, you can use them everywhere.
Choose date range
In the top left of every page, you choose the date range for your data. You have two options:
- Predefined date ranges - for example Today, Last 7 days, Last 30 days, This month, This quarter, or This year.
- Custom - choose any start and end date.
Compare
Next to the date selection, you can activate a comparison period. This lets you see how your metrics have changed over time.
You compare either with the previous period or with the previous year. Previous period means: if you selected "Last 30 days" as your date range, Analytics automatically compares with the 30 days before that. When comparison is active, trend arrows and percentage changes appear on the metric cards and in the charts.
Note
Not all chart types support comparisons (for example pie charts, funnels, or the payout table). If a comparison is not possible, the page will show you a corresponding notice.
Filters
With filters, you narrow down the displayed data - for example to a specific product, campaign, or country. Click + Add filter at the top of the page.
Two things are important here:
- Filters apply globally. A filter applies to all metrics and charts on the entire page. You don't need to set it separately for each tile.
- Combine multiple filters. You can use up to 10 filters at the same time. Multiple filters are combined with AND logic - meaning the data must meet all conditions simultaneously.
Which filters are available to you depends on whether you're logged in as a vendor or affiliate. Some dashboards offer additional filters relevant to their topic - for example payment method or sales type.
Chart types: Charts and tables
Analytics offers you different chart types. Which one works best depends on what you want to see:
- Metric cards - show individual values as a number, for example promo clicks or gross revenue. Use the dropdown to switch the displayed metric.
- Line chart - good for trends over time.
- Bar chart - good for comparisons between categories.
- Pie chart - good for proportions and distributions.
- Table - the most detailed view, with grouping and breakdowns.
- Funnel - good for step-by-step processes and transitions between stages.
Tip
Above each metric, you'll see an info icon. Hover over it to see an explanation of the metric and its calculation formula.
Tables in detail: Grouping and breakdowns
Tables offer you two tools to examine your data more closely:
- Group by - summarizes values by a category. For example: group by product to see values per product.
- Breakdown by - shows an additional level within a group. For example: you've grouped by product and then break down by country. This way, you see the distribution by country for each product.
Customize your dashboard
On the "General analytics" page, you can choose which metrics and charts you see. Click Customize in the top right to open the customization mode.
What you can do in customization mode
- Add or remove metric cards - up to 10 cards in 2 rows of 5.
- Add or remove charts.
- Change the order via drag-and-drop.
- Resize charts - half or full width.
Click Save and exit to apply your changes. Click Cancel to discard everything.
Note
Customization mode is only available on the "General analytics" page. The topic dashboards have a fixed structure.
Payout overview
At the bottom of the "General analytics" page, you'll see a payout overview with your next scheduled payouts.
The table shows you per payout: date, commissions, merchant reserve, chargebacks, refunds, and the payout amount. If a payout doesn't reach the minimum threshold, you'll see a warning icon with the missing amount.
Note
The displayed values are estimates. Chargebacks, fees, and refunds may still change the final amount.
Settings
Under Analytics > Analytics configurations, you'll find global settings for your analytics. There you set the display currency. All revenue values in Analytics will then be shown in this currency.
Prerequisite: Set up tracking
For Analytics to show complete data, your tracking needs to be set up.
Without a promocode or promolink, certain metrics will be missing - for example sales page visitors or the click-to-sale conversion. You'll still be able to see revenue data, but you won't be able to draw conclusions about your funnel.
→ Set up promocode and promolink for tracking
How is data counted?
- Only unique visitors are counted. This means: a user who opens the same link multiple times in the same browser is only counted once.
- Counting is asynchronous. New clicks appear in Analytics with a delay of a few minutes.
- Bots, crawlers, and visits blocked by privacy plugins are not counted.
→ Counting Statistics - detailed information on the counting method.