Understanding the Revenue Centre Dashboard
Overview
The Revenue Center Dashboard in AfterShip helps you analyze how AfterShip products contribute to your overall store revenue. It consolidates data from Tracking, Personalization, and Returns to show where revenue is generated and how each touchpoint impacts performance. This dashboard provides merchants with complete visibility into ROI and helps internal teams communicate AfterShipโs revenue value more effectively.
Benefits of revenue center
The revenue center helps merchants:
- Measure ROI โ see overall revenue generated from and attributed to AfterShip.
- Gain full visibility โ understand the revenue contribution from each AfterShip product.
- Helps customers explore more revenue-focused solutions and optimize older strategies for growth.
How to access the revenue center?
You can access the revenue center through multiple paths in AfterShip Admin:
- AfterShip Admin Navigation โ Revenue center
- AfterShip Admin Home โ Revenue center
- AfterShip Tracking Admin Revenue Dashboard โ Revenue center
Dashboard views
View type | Description |
---|---|
Store View | Displays analytics per store. Use the store switcher to view a specific storeโs data. |
Org View | Displays analytics for your entire organization. The structure aligns with tracking analytics. |
You can use the Store view for detailed insights and the Org view for an overall performance snapshot.
Filters and time settings
- Time filter: Apply the filter and see revenue attribution based on the order created date.
- Comparison period: Choose a comparison filter to analyze revenue with respect to the previous period or year.
- Data range: Supports 2025 data onward only.
- Revenue currency: USD in Org view and default store currency in store view.
Data update time
Type | Scenario | Product | Data update Time |
---|---|---|---|
On-site Scenarios | Home, product, cart, checkout, post-purchase, thank you pages | APZ | Real Time |
Off-site Scenarios | Branded tracking page, tracking email | Tracking | T+1 |
| Returns and exchanges | Returns | T+1 |
Explained key revenue metrics
The table below summarizes all revenue metrics that help merchants understand how much of their revenue growth comes directly from AfterShip features:
Metrics | View | Description |
---|---|---|
AfterShip attributed revenue | Both Store & Org view | New revenue generated by AfterShip (includes Tracking, Personalization, and Returns upsells). |
AfterShip attributed orders | Both Store & Org view | Orders attributed to AfterShip |
AfterShip attributed revenue % | Store view only | % of total store revenue generated by AfterShip. |
|
| Formula: (AfterShip attributed revenue / total store revenue) ร 100 |
AfterShip attributed orders % | Store view only | % of total store orders attributed to AfterShip. |
|
| Formula: (AfterShip attributed orders / total store orders) ร 100 |
Total store revenue | Store view only | The total revenue from your online store, after discounts |
|
| Formula: Total store revenue = gross sales - discounts |
Total store orders | Store view only | Total number of orders placed in your store. |
Revenue breakdown by product
The dashboard breaks down revenue by Tracking, Personalization, and Returns products.
1. Tracking attributed revenue metrics
These metrics show revenue generated through Tracking pages and emails. If both influence one order, the system counts it only once for accuracy.
Metrics | View | Description |
---|---|---|
Tracking attributed revenue | Both Store & Org view | Total revenue generated by tracking pages and emails |
Tracking attributed orders | Both Store & Org view | Total number of orders influenced by tracking pages or emails |
Tracking attributed revenue % | Store view only | % of store revenue from Tracking |
Tracking attributed orders % | Store view only | % of store orders from Tracking |
Tracking attribution by source
Source | Section | Dashboard view |
---|---|---|
Tracking Pages | Product recommendations, Navigation, Shipment items, Order tracking, Marketing assets, Others | Org & Store view |
Emails | Personalization product recommendations, Others | Org & Store view |
2. Personalization attributed revenue metrics
Shows revenue generated through Personalization widgets placed across store pages. Merchants can see which recommendation widgets drive the highest revenue across store pages:
Metric | View | Description |
---|---|---|
Personalization attributed revenue | Org & Store view | New revenue from Personalization widgets. |
Personalization attributed orders | Store view Only | Number of new orders generated by Personalization widgets. |
Personalization attributed revenue % | Org & Store view | % of total store revenue from Personalization widgets. |
Personalization attributed orders % | Store view Only | % of total store orders from Personalization widgets. |
3. Returns upsell revenue
These metrics show upsell revenue generated from returns and exchanges. Merchants can monitor how return interactions convert into additional sales opportunities.
Metrics | View | Description |
---|---|---|
Returns upsell revenue | Both Org and Store view | New revenue generated by exchanges and โShop nowโ actions. |
Returns upsell revenue % | Only Store view | % of total store revenue from Returns upsells. |
Returns orders with upsell | Both Org and Store view | Original orders that generated a return upsell. |
Returns orders with upsell % | Only Store view | % of total store orders that generated a return upsell. |
Upsell revenue per return | Both Org and Store view | Average revenue per return (including those without upsell). |
Returns average upsell | Both Org and Store view | Average revenue per return request that resulted in an upsell. |
Understanding patterns in your dashboard can help uncover valuable insights.
FAQs
Q. How to export the Revenue Center dashboard data?
You can export specific data, such as revenue trends over time, directly from the dashboard. The file will be saved in CSV format.
Q. Why does my total revenue differ from Shopify reports?
Differences can occur due to attribution settings, data sync delays, or currency conversions. Always check the selected attribution model and filters before comparing data.
Updated on: 14/10/2025