For the complete documentation index, see llms.txt. This page is also available as Markdown.

Weekly Performance Review Report

Your Weekly Performance Review gives you a summary of your performance and earnings from the past 7 days. This report also gives you actionable insights into what's driving your earnings, showcases trending products, and helps you discover new promotional opportunities.

To see a summary of your performance over a month, refer to Monthly Performance Review Report.

Manage the report

  1. From the top navigation bar, select Reports → More Reports

  2. Search for Weekly Performance Review in the search bar.

  3. Optionally, you can use the icons at the top right of the page to [Share], [Schedule], or [Download] in PDF, Excel, or CSV format.

  4. Refer to the Report sections reference below for more information on each section on the report.

Report sections reference

Performance

This section breaks down your key performance indicators (KPIs) over the week.

To download a metric, hover over the metric's block and select [More] to download the metric in CSV, Excel, or PDF format.

To export the metric via API, select [More]Get API Link.

Metric
Description

Total earnings

View the total compensation you've earned across your joined programs.

Affiliate earnings

View your earnings generated specifically from your affiliate links.

Clicks

View the total number of clicks your tracking links received.

Earnings per item

View the average amount you've earned for each item sold through your links.

Total generated sales

View the total revenue you've generated for your brand's program.

AOV

View the average monetary value of each order placed through your links.

What drove your earnings this week?

This section reveals the specific brands and products that contributed to your performance over the week. View which program, campaign, and products brought in the most earnings for you.

To download this section's data, hover over the block and select [Download] to download the data in CSV, Excel, or PDF format.

Item
Description

Top earning program

View which specific brand partnership generated the most earnings. In this block, you can see your Affiliate Earnings, Products Sold, EPI (Earnings per Item), and Clicks.

Top earning campaign

View which specific campaign was the most profitable. In this block, you can see your Affiliate Earnings, Products Sold, EPI (Earnings per Item), and Clicks. Note: This data will only populate if you're joined to a campaign or have campaign earnings.

Top earning catalog products

View which products from your brand's product catalog drove the most revenue. It displays top-performing products if the brand has uploaded a product catalog to impact.com. In this block, you can see your Affiliate Earnings, Products Sold, EPI (Earnings per Item), and Clicks.

Discover products to promote

This section shows the number 1 product from each of your programs, even the ones you have yet to promote. These products are ranked by how they perform across all partners in the network, so you can easily find untapped opportunities before your audience sees them elsewhere.

To download a list of these products, hover over the block and select [Download] to download the list in CSV, Excel, or PDF format.

To export the list via API, hover over the block and select [Export].

Column
Description

Product name

The name of the product.

Program (program Id)

The name of the program and the program's Id.

Affiliate earnings

The total compensation partners have received from that product. Earnings from products that haven't been added to your brand's catalog won't appear here.

Network AOV

The average order value of orders that contained this item. You can compare products to find high-value items to promote.

Partners promoting

The number of partners promoting this product.

Network earnings tier

The amount this product earns across all partners in the network. Tier 5 products are top earners, while tier 0 products are the lowest earners. Use this metric to compare how your products perform against each other.

Last updated

Was this helpful?