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Understanding the Revenue Centre Dashboard

Plans: All Plans Platforms: Shopify Only


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 AfterShipโ€™s 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 storeโ€™s 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 โ€œShop 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.


To explore how attribution is calculated, refer to Revenue Attribution in AfterShip dashboards.


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