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Saturday, 28 June 2025
Software & Apps

Pinterest tests an AI feature that converts advertisers to a shopping collage

Pinterest tests an AI feature that converts advertisers to a shopping collage

Pinterest is experimenting with “auto-college”, an AI feature that allows advertisers to quickly convert their product catalogs into a showpable collage, company, company Announced This week.

The new feature is designed to make it easier for advertisers to reach customers, saving time and creative resources, Pinterest.

The company notes that Collage General Z is one of the most popular and attractive material types among users, with more than millions of collages made on the platform. In initial trials, Pinterest found that users have saved double-colleges doubled at the rate of standard product PIN.

Products work by mixing the product images in visual materials produced simultaneously depending on things such as auto-college outfit ideas, user engagement, similar products and user savings. For example, this feature can simultaneously place the clothing together that creates a stylish outfit based on the current look. Or, it can create a new collage that is similar to the existing collage that has seen strong user engagement.

Image Credit:Pinterest

In addition, the feature can select similar products and meet them together in a collage. In another case, auto-colleges can generate a collage that contains products that are similar to those that users have saved on their boards.

“Auto-college was born from the Pinterest Ads Labs program, which was launched last year, where we innovate the new generative AI products that help the brands stay ahead of the curve,” Julie Towns, Pinterest Vice President, Product for Product Marketing and Operations, for Product Marketing and Operations. Announcement“Auto-college tool is an exciting jump that is to replace AI immediately how the brands turn their product list into fresh creative that resonates with genes and beyond the gene.”

Pinterest also announced that it is updating its “trends” tools to help advertisers better understand and predict what users are planning to buy further. The updated tools will take advantage of the insight on what users are saving, curating and shopping.

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