Pinterest is experimenting with “auto-collages,” an AI characteristic that enables advertisers to rapidly flip their product catalogs into shoppable collages, the corporate announced 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 probably the most widespread and fascinating content material sorts amongst Gen Z customers, with over tens of thousands and thousands 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 pictures into shoppable visible content material primarily based on issues like outfit concepts, person engagement, comparable merchandise, and person saves. For example, the characteristic might group collectively clothes that makes up a classy outfit primarily based on present appears. Or, it might create a brand new collage that’s just like present 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 can be just like ones that customers have saved on their boards.
“Auto-collage was born out of the Pinterest Adverts Labs program that launched final 12 months, the place we innovate new generative AI merchandise that assist manufacturers keep forward of the curve,” mentioned Julie Cities, Pinterest Vice President for Product Advertising and marketing and Operations, in an announcement. “The auto-collages device is an thrilling leap that harnesses AI to immediately rework how manufacturers flip their product catalog into recent artistic that resonates with Gen Z and past.”
Pinterest additionally introduced that it’s updating its “Tendencies” device to assist advertisers higher perceive and predict what customers are planning to buy subsequent. The up to date device will leverage insights into what customers are saving, curating, and procuring.