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Listing Quality Dashboard

Listing Quality Dashboard

The Listing Quality Dashboard may be a tool on marketer Central that highlights necessary product data for purchasers. These recom

mendations are centered on serving to you improve the discoverability of your merchandise, enabling higher client experiences like Product summary or Tabular specification read, and reducing returns on your merchandise.

What are the advantages of the Listing Quality Dashboard?

The dashboard shows your product listings that require improvement and offers recommendations on the product attributes you ought to provide. By adding the suggested data for your merchandise, you can:

Improve discovery: Customers filter their search results victimization-specific attributes. Adding these attributes can make sure that clients don’t miss your product once it meets the customer necessities and therefore the filters are used.

Listing Quality Dashboard

Enable the merchandise summary expertise: A product summary may be a new experience that will highlight necessary product attributes higher than the bullet points on the merchandise detail page. This can facilitate customers to assess your product simply and create a quicker shopping for the call. This expertise is presently on the market for a restricted range of product varieties and that wear operating to change this for a lot of product varieties.

Tabular specification read in search: Tabular specification read allows customers to browse through the highest product specifications for ASINs in search results, assess key variations between merchandise, and facilitate create purchase choices quickly by egression key product details on the Hindu calendar month face out during a tabular format.

Product comparison feature in search: This expertise helps customers compare product specifications at a look.

Potentially cut back client comebacks: Customers typically return merchandise because of a scarcity of crucial product data on the merchandise detail page (for example, compatibility options for headphones and cables). By adding a lot of data, you would possibly cut back the number of returns.

Take time-sensitive actions: The tool can highlight listing data that has to be crammed in by a precise date so as to forestall attainable suppression.

How do I utilize the Listing Quality Dashboard?

  • Visit the Listing Quality Dashboard or, in marketer Central, visit Inventory, click Manage Inventory, so click Listing Quality Dashboard.
  • Filter the dashboard by Recommendation kind. you’ll additionally look for a specific product to visualize if it’s any recommendations, and order by Pageviews and Sales within the last thirty days.
  • Fill within the missing data underneath the Recommendations column.
  • Click Save once you’ve got crammed within the attributes. Changes can take up to one.5 hours to replicate.
  • You can click the read all X missing attributes link to look at all the necessary attributes that are missing for the merchandise. These missing attributes are classified underneath totally different edges like Improve search filters, cut back client returns, etc. The All-tab teams along with all the missing attributes underneath one read. you’ll fill in and save the attributes from this pop-up window.


Raja Hamza Rasheed

Raja Hamza Rasheed
CEO @ eCom Managers
Show Host @ eCom Stories With Raja
Amazon Expert and Author

Raja is an Extremely Dynamic Marketer & Consumer Behavior Analyst. He holds a Degree of Consumer Behavior & Marketing from the University of Punjab Pakistan. Along With His Own Amazon Selling Business, he is Also a Consultant & Trainer to the Many Amazon Sellers & Brands. In his Career, Raja Worked in Multiple Organization at Managerial & Leadership Roles. He Helps More Than 140 Amazon Sellers Through His Result Driven Strategies and Tactics.

His Main Area of Expertise Includes Product Hunting, Launching, Ranking, Branding, Marketing, Advertising & Merchandising. Raja Have working Experience on Almost all the Amazon Market Places But Mainly Includes USA, UK, Canada, Germany and India

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