Membership Graph: Consumer Identity as Revenue Infrastructure

A global athletic apparel and footwear brand engaged Taller to sustain and expand the engineering squads behind its web-personalization, consumer-data, and commerce-backend systems.

The client’s direct-to-consumer business depended on turning a membership base of more than 300 million members (160 million of them active) into the personalization, launch targeting, retention prompts, and loyalty journeys that made digital revenue compound rather than churn. Without a unified view of the consumer across the flagship app, the sneaker-launch platform, the fitness app, connected retail, and direct commerce, every campaign ran on its own isolated audience definitions. This meant that inventory-sensitive offers could misfire from region to region, and the fairness rules that governed hyped product launches couldn’t be enforced consistently. The real challenge was to turn that base from a marketing asset into a governed decision layer the entire digital operation could run against.

The decision-making layer the client invested in over the preceding five years was the web-personalization squad. This included Adobe Target (the engine that decides which audience sees specific experiences), with React and Next.js on the front end, deployed across Amazon Web Services. Taller engineers worked inside it, sustaining a structure that expanded as personalization became a primary way the brand drove conversion. They also contributed to the underlying consumer-data systems (data engineering on the broader platform) and to the backend commerce APIs (Java and Spring Boot services on AWS, with streaming, automated deployment, and content delivery) that the membership layer read from and wrote to.