We’ve added a new optional feature to Lister that shows historical prices for sold items across the Upright Lister client base. This helps organizations to leverage historical listing data and predict accurate prices for new listings!
Price Prediction
compares the keywords, title, product category, and item condition of a new listing to similar products sold via Lister and shows the related items and average selling prices based on the selected listing type (Fixed Price or Auction format).
We recommend sharing this article with your Listers so they can learn how to use the tool!
How to Opt-In to Use Price Price Prediction:
  1. Click the gear icon in the top right navigation menu of Lister to go to the admin settings pages
  2. Click “Products” in the left navigation menu
  3. Click on the button under the Price Prediction section to toggle on and join the beta feature to leverage historical listing data to predict accurate prices for new listings. By opting in, you confirm you are authorized to add this functionality on behalf of your organization
  4. Click “Save” at the bottom of the page
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How to Use Price Prediction While Listing
Once you’ve joined the Price Prediction beta by following the steps above, a new section will be added to the listing form to show historical prices based on the marketplace listing category and title.
  1. Begin listing as normal: Select a category and listing strategy, and complete the builder template (if applicable)
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  1. If a Price Prediction match is found, a notification will show under the listing title
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  1. A price range for similar sold items will show in the Channels section of the listing form
  2. Click “View historical listings" to review the listing photos and titles of related items, along with price ranges for those items
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  1. ​Review historical listings to see similar sold item price range and their average starting price (if an auction-style listing)
  2. Compare Matching Listings to view similar items you have previously sold
  3. Review Aggregate Listings to compare keywords, sold prices, listing formats, and conditions of similar items sold by other Price Prediction users
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