Analytics
The Analytics section gives you a data-driven view of your store’s performance. Use it to track revenue trends, understand your customers, identify your best-selling products, and spot operational bottlenecks.
[!NOTE] Analytics data is scoped to your store. Platform administrators (with the ADMIN role) can see aggregated data across all stores on the platform.
1. Dashboard Overview
Navigate to Analytics to see your summary dashboard. The top row shows four key metrics at a glance:
| Metric | What it measures |
|---|---|
| Total Revenue | Sum of all paid orders in the selected period |
| Orders Count | Total number of orders placed |
| Customers | Number of unique customers who placed orders |
| Fulfillment Rate | Percentage of orders that reached DELIVERED status |
Use the date range selector at the top right to switch between Today, Last 7 Days, Last 30 Days, Last 90 Days, or a custom range.
2. Revenue Charts
The revenue chart shows your earnings over time, broken down by period:
| View | Description |
|---|---|
| Daily | Revenue for each day in the selected range |
| Weekly | Revenue grouped by week |
| Monthly | Revenue grouped by month |
Hover over any point on the chart to see the exact revenue for that period. The chart helps you identify peak selling days and seasonal patterns.
[!TIP] Compare two time periods side-by-side by adjusting the date range and noting the comparison percentage shown below the chart.
3. Top Products Report
The Top Products table shows your best-performing items, ranked by:
- Units Sold — most popular by quantity
- Revenue Generated — highest total sales value
For each product, you can see:
- Product name and thumbnail
- Units sold
- Revenue
- Current stock level
Use this report to decide which products to restock first, which to promote, and which are underperforming.
4. Customer Analytics
The Customers analytics section helps you understand who is buying from you:
| Metric | What it shows |
|---|---|
| New Customers | First-time buyers in the selected period |
| Returning Customers | Customers who have placed more than one order |
| Customer Growth | Month-over-month increase in registered customers |
The New vs Returning split tells you how much of your revenue comes from loyal repeat customers vs new acquisitions — a key indicator of brand health.
5. Order Analytics
The Orders analytics section breaks down your order volume by status:
| Chart | What it shows |
|---|---|
| Orders by Status | A breakdown of how many orders are in each status |
| Orders Over Time | Order volume trend for the selected period |
| Average Order Value | Total revenue divided by total orders |
This view helps you catch bottlenecks — for example, if many orders are stuck in PROCESSING for too long.
6. Payment Success Rate
Under Analytics → Payments:
| Metric | Description |
|---|---|
| Payment Success Rate | Percentage of checkout attempts that resulted in a successful PAID status |
| Failed Payments | Count of failed payment attempts |
| Refund Rate | Percentage of orders that were partially or fully refunded |
A low payment success rate (below 85%) may indicate issues with your Paystack configuration, checkout UX, or internet connectivity in your target market.
7. Cart Abandonment Rate
The cart abandonment rate shows how many customers added items to their cart but did not complete checkout.
| Metric | Description |
|---|---|
| Abandonment Rate | Percentage of carts that did not convert to an order |
| Abandoned Cart Value | Total value of items left in abandoned carts |
[!TIP] A high abandonment rate often signals friction in the checkout flow — for example, unexpected shipping costs, too many steps, or payment failures. Review your checkout settings and Paystack integration if abandonment is above 70%.
8. Store-Level vs Platform-Level Analytics
| Role | What they see |
|---|---|
| Owner / Manager | Analytics for their own store only |
| Platform Admin | Aggregated analytics across all stores on the platform — total platform revenue, store count, cross-store top products |
If you are an Owner, your analytics are always filtered to your store. You will never see data from other stores on the platform.