Amazon transitioned from traditional batch emails to an AI-powered recommendation engine. Over 12 months, SEOJetty deployed collaborative filtering and real-time behavioral triggers. This strategic shift eliminated generic promotions, resulting in a 25% email revenue increase, a 20% retention improvement, and $35 billion in directly attributed sales.
Amazon (Seattle, USA) is an enterprise B2C e-commerce marketplace serving global consumers.
Generic batch emails caused low engagement and high cart abandonment. Manually personalizing campaigns across millions of products was impossible, leaving significant revenue untapped.
Increase email revenue by 25%+ and customer retention by 20% within 12 months.
We deployed AI-driven collaborative and content-based filtering. Rationale: Dynamically matching customer behavior to relevant inventory in real-time maximizes lifetime value at enterprise scale.
Tracked via revenue per email and attribution modeling, navigating strict global privacy compliance constraints.
Initial algorithms struggled with the massive catalog scale. Pivoting to integrate real-time inventory levels resolved processing latency and improved recommendation accuracy.
Refining seasonal trend analysis algorithms for Q4 optimization.
SEOJetty provides award-winning, data-driven enterprise marketing solutions.