The researchers used a technique called Principal Component Analysis to simplify a large amount of data from Facebook commerce pages. They found that by reducing the data dimensions, models like Artificial Neural Network and Random Forest performed just as well as when using all the original data. This means that PCA can help make complex data easier to work with without losing important information.