...Stitch Fix Back-End Experience = 39% of Clients Purchase Majority of Clothing from Stitch Fix vs. ~30% of Clients Y/Y Stitch Fix = Data On Users + Data on Items + Constantly Improving Algorithms = Drive High Customer Satisfaction...100% of Purchases from Recommendations Data Collection on Data Networking Effect... Strong Consumer Engagement / Item-by-Item Basis Coupled with Helps Stylist Predict Success of Anticipation...Increased Wallet User Insights Items with Specific Client Share... Stitch Fix captures 50-150 attributes on each The more information collected, the better the 39% of Stitch Fix clients get majority of item, uses algorithms + feedback to determine probability of success. Stitch Fix showing 1:1 clothing from Stitch Fix, up probability of success (i.e. item will be correlation between probability of purchase per from ~30% of clients a year ago purchased) for specific demographics, allows item and observed purchase rate over time stylists to better select items for clients Example of Product Success 100% Probability by Age d e 80% s a h c r u 60% P n o ti r o 40% Example of Product Success p o Probability by Sizing r P l a 20% tu c A 0% 0% 20% 40% 60% 80%100% Probability of Purchase Source: Stitch Fix Image: Cheapmamachick.com KPCB INTERNET TRENDS 2016 | PAGE 69