In this article:

• Get Started
• All Campaigns view
• Campaign view
• Product view
• Data interpretation

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The ProductBoost (PB) Campaigns dashboard offers specific ProductBoost data at the campaign and product level, giving merchants more control, transparency, and data reliability.

This insight can also help merchants better assess campaign and product performance, see their return on investment, and make informed decisions to better plan and budget for more effective advertising on the Wish app/Wish.com.

Enhanced features of the dashboard include: 

• ProductBoost-specific data at campaign and product levels
• Cost-per-click (CPC) charge model (replacing the previous charges per impressions) 
• Daily budget expenditures at a product level
• Click-through rates and comparison chart 
• Advertising Cost of Sales (ACoS) data to show ad spend as a percentage of Gross Merchandise Value (GMV) 

These data insights can help a merchant strategize to increase user traffic, conversion, and sales revenue, which has the potential to positively impact Wish Standards’ ratings. 

Get started

To access ProductBoost Campaigns data, go to the Merchant Dashboard > Advertising >  ProductBoost > View All Campaigns. 

The ProductBoost Campaigns dashboard provides data insights into all campaigns (both on-going and completed). From there, merchants can further explore data insight to specific campaigns as well as each product within a campaign. 

All Campaigns view 

On the homepage, merchants can compare an overview of data across all campaigns.

Data includes:

• Campaign Status: See “ProductBoost Campaign Status & Actions” to learn more
  • Each status also allows for different actions
• Budget: Total budget that the merchant chooses to spend on a ProductBoost campaign
• Spend: Amount spent so far on a ProductBoost campaign
• PB Impressions: Sum of product impressions directly generated by a ProductBoost campaign
• PB Clicks: Sum of user clicks directly generated by a ProductBoost campaign 
• PB Orders: Total number of orders released to merchants for products in the ProductBoost campaign, directly generated by a ProductBoost campaign
• PB GMV : Total gross merchandise value directly generated by a ProductBoost campaign
• ACoS (Advertising Cost of Sales): Ad spend as a percentage of GMV

Note: ProductBoost-specific data insights (especially PB Clicks and PB GMV) are available for campaigns that are active/start after May 1, 2022 UTC.

Use the Filter feature (top right) to narrow campaigns by Status.

To export data from all campaigns (or a single campaign) into a CSV file, use the Download feature in the top right of the page.

Performance data first appears in the dashboard 24 hours after a campaign starts and updates every 24 hours after that until the campaign ends. 

From All Campaigns, merchants can click on a single campaign (Campaign Name) to pull up the performance data for that particular campaign. (See “Campaign view,” below.)

Tip: To quickly navigate between pages, go to the navigation path found in the top left corner of the page. 

Campaign view

The Campaign view offers two tabs: Overall Performance (where merchants can drill down even further to product performance) and Invoice.

Overall Performance tab

Merchants can further analyze the performance of a single campaign and its products from data that is similar to the All Campaigns view, but with deeper insights. Campaign (and product) data also includes click-through-rate (CTR), which is further explained below. 

The chart displays performance details for a single campaign. Move the chart line for data insight to ProductBoost performance on a specific day. 

Just below the chart is a list of the campaign’s products and data from that campaign window:

• Spend: Amount spent so far on a product to participate in a ProductBoost campaign
• PB Impressions: Sum of a product’s impressions directly generated by a ProductBoost campaign
• PB Clicks: Sum of a product’s user clicks directly generated by a ProductBoost campaign 
• PB Orders: Total number of orders released to merchants for products in the ProductBoost campaign, directly generated by a ProductBoost campaign
• PB GMV: Total gross merchandise value directly generated by a ProductBoost campaign for a product
• ACoS (Advertising Cost of Sales): Ad spend as a percentage of GMV
• CTR (Click-through rate): The number of clicks an ad receives divided by the number of times the ad is shown (or PB clicks divided by PB impressions).

Note: ProductBoost-specific data insights (especially PB Clicks and PB GMV) are available for campaigns that are active/start after May 1, 2022 UTC.

From the Campaign view, merchants can click on a single product to pull up the performance data for that particular product. (See “Product view,” further below.)

Invoice tab

Also accessible in the Campaign view, the Invoice tab shows cost calculations based on the cost-per-click charge model. Cost-per-click charges merchants for every user click on a ProductBoost product. Charges are weekly, so the “Charge” column reflects the cost-per-click charges for the week and the "Adjustment" column displays the account balance withdrawal.

Product view

Similar to the Campaign view, the Product view allows merchants to gain deep insight into a ProductBoost performance, but at a product level. 

This view captures the same data as the Campaign view, while it also compares a product’s daily ProductBoost CTR against organic (non-boosted) daily CTR. (See the chart below.)

Product performance chart

Click on a tile for additional data insights, as exampled above, choosing PB Clicks opens this pop-up box:

Daily performance metrics

Below the chart, daily performance metrics are provided. (As noted earlier, performance data first appears in the dashboard 24 hours after a campaign starts and updates every 24 hours after that until the campaign ends.) 

Attributed orders

Below the daily performance metrics table, Attributed Orders account for orders released to merchants for products included in a ProductBoost campaign and the overall GMV in the 28 calendar days following the end of the campaign.

Data interpretation

Product data offers merchants powerful insight to what is doing well and where there might be opportunity to improve, going beyond just advertising. For example: 

• How is conversion? Compare PB Clicks with PB Orders. Does click-through convert to an order, or do users click but not buy? If there is not an order, a merchant may want to assess that product’s listing page content, images, and reviews to find out why.
• Is there little increase in PB Clicks compared to impressions (is the CTR % low)? If so, assess what users see when the product appears in a feed: Is the image blurry or hard to see? Is the product title unclear? Is the price reasonable?

In the big picture, merchants can use ProductBoost data as a way to check on the health of Wish product offerings.