1. Small amounts of customer data linked to products ("smalldata") can be enough to power effective machine learning for ecommerce using predictive APIs. Quality of data is important. 2. Using predictive APIs with machine learning provides personalized recommendations, abandoned cart emails, lead scoring, and email marketing that improve customer experience and boost key metrics like revenue. 3. An example company saw a 45% increase in session length, 22% higher conversion rate, and 37% larger average order size through A/B testing machine learning recommendations, resulting in 71% more revenue.