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Attribution statistics: e-com events
Attribution statistics: e-com events
Daria Mamchenkova avatar
Written by Daria Mamchenkova
Updated over a week ago

Before you begin

E-com events

The E-com events report displays more specific data than Events, with the focus on analytics regarding the main events important for the e-commerce vertical. If you work selling products, orders, returns and other processes, this report is of great importance for you.

The events of the report include:

  • Order

  • Order Cancel

  • Order Return Request

  • Order Return Request Cancel

In this report, you can collect all the details of user behavior regarding your orders and sales: IDs of your orders and products within your orders, IDs necessary for tracking, quantity, product types, and other metrics.


In the E-com events slice, you can filter data by the period (the default one is the last seven days), timezone, application, partner, and country.

Statistics Reliance Retail 2023-09-01 at 12.21.32 PM

⚠️ The maximum period for the statistics display is 180 days.

You can search for the items in the Search boxes by Order ID, Product ID, and Conversion ID.

Also, you can reset the filters to the default settings.


On the dashboard, the data is by default displayed for the last seven days.

The dashboard has the following blocks:

Statistics Reliance Retail 2023-08-31 at 12.30.23 PM
  • Order: the number of orders for the selected period.

  • Order Cancel: the number of cancelled orders for the selected period.

  • Order Return Request: the number of order return requests for the selected period.

  • Order Return Request Cancel: the number of requests to cancel order returns for the selected period.

  • Total Revenue: total revenue for events for the selected period.

  • Products Quantity: all products from all orders for selected the period


In the E-com events slice, the table contains the following columns:

Screen Recording 2023-08-31 at 09.04.20 PM
  • Event name: name of the event.

  • Event time: time when the event happened.

  • Order ID: unique ID of the order.

  • Conversion ID: unique ID of the conversion you pass to Affise MMP. It can contain a combination of order ID + product ID.

  • Click ID: unique ID of a click in the Affise MMP system.

  • Partner ID: unique ID of a partner in the Affise MMP system.

  • Campaign ID: unique ID of a campaign you pass to Affise MMP.

  • Price: price of each product in the order.

  • Quantity: quantity of products in an order.

  • Revenue: final revenue, which is calculated as price * quantity.

  • Brand: brand your product belongs to.

  • Brick: category your product belongs to.

  • Catalogue ID: catalogue ID you pass to Affise MMP.

  • Channel type: channel the traffic comes from.

  • Product ID: unique ID of your product that you pass to Affise MMP. It differs from Order ID, because one order may contain several products.

  • Product name: name of your product.

  • Customer type: type of your customer if you categorize them.

  • Segment: your product segment.

  • UTM Campaign: UTM tag for campaign.

  • UTM Medium: UTM tag for medium.

  • UTM Source: UTM tag for source.

  • Vertical: the vertical your product belongs to.

  • Voucher code: a discount code used for order.

  • App ID: unique ID of an application in the Affise MMP system.

🔎 The data in the slice represents the values that can be further passed to Affise Performance or other tracking system where you track activity in all your sites, both web and apps.

Please contact the Affise Customer Support team regarding all raised questions via the e-mail: [email protected].

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