Attryb: Artificial Intelligence–Driven Website Personalization for Online Sellers

Amid rising online content, modern consumers want a personalized online shopping experience and to be presented with products, services, and deals that are relevant and specific to them. Anil Bains launched Attryb to create a hyper-personalization stack to deliver a meaningful experience to each website user. Using artificial intelligence, machine learning, and statistical models, Attryb’s predictive intelligence model could assess thousands of customer signals to create meaningful segments that increased acquisition, engagement, and sales for online sellers. However, small and medium companies establishing direct-to-consumer websites often lacked strong technological capabilities and were preoccupied with starting their businesses. How could Attryb convince these prospective clients about the economic benefits of its solution and communicate the value without being overly technical?