How Google Trends Can Help You Shop, According To This Creator

The result is a plethora of highly educational and data-driven videos that make the revolving door of micro trends, aesthetics, and runways a little easier to navigate. Recently, she analyzed the chaotic wardrobe of Emily in Paris’ titular character (for the record, 29% of the character’s outfits have a neon color) and compared designer Daniel Lee’s debut collections at both Bottega Veneta and Burberry (the graphic revealed that Lee’s Burberry debut had 73% more patterns than Bottega Veneta’s). On her website, she also dives into trending items, like ballet flats and UGG platform boots, where she compiles more user-friendly data that’s targeted to helping people make shopping decisions. “If you’re not buying pieces from shows, which I’m not, it’s an interesting way for me to understand how I can dress similar to a certain runway collection without having to specifically buy these high fashion, high price tag pieces,” says Lapuerta, who has also self-published a series of books, titled The Little Book of Big Fashion Data.