Pinterest is experimenting with “auto-collages,” an AI characteristic that enables advertisers to shortly flip their product catalogs into shoppable collages, the corporate introduced this week.
The brand new characteristic is designed to make it simpler for advertisers to succeed in prospects whereas saving time and inventive sources, Pinterest says.
The corporate notes that collages are some of the in style and interesting content material sorts amongst Gen Z customers, with over tens of tens of millions of collages created on the platform. In early checks, Pinterest discovered that customers saved auto-collages at twice the speed of normal product Pins.
Auto-collages work by grouping collectively product photographs into shoppable visible content material based mostly on issues like outfit concepts, person engagement, comparable merchandise, and person saves. As an illustration, the characteristic might group collectively clothes that makes up a trendy outfit based mostly on current seems. Or, it might create a brand new collage that’s much like current collages which have seen sturdy person engagement.
Plus, the characteristic might choose comparable merchandise and group them collectively right into a collage. In one other case, auto-collages might generate a collage that features merchandise which might be much like ones that customers have saved on their boards.
“Auto-collage was born out of the Pinterest Ads Labs program that launched last year, where we innovate new generative AI products that help brands stay ahead of the curve,” stated Julie Cities, Pinterest Vice President for Product Advertising and marketing and Operations, in an announcement. “The auto-collages tool is an exciting leap that harnesses AI to instantly transform how brands turn their product catalog into fresh creative that resonates with Gen Z and beyond.”
Pinterest additionally introduced that it’s updating its “Trends” instrument to assist advertisers higher perceive and predict what customers are planning to buy subsequent. The up to date instrument will leverage insights into what customers are saving, curating, and purchasing.
