Case Study: Teespring achieves real-time personalized sales analytics with MemSQL

Teespring - Customer Case Study

Teespring is an on‑demand ecommerce platform that lets entrepreneurs create and sell custom apparel. Facing rapid growth, the company needed real‑time analytics and personalization to connect the right buyers and sellers, provide instant seller insights, and support multiple teams (product, analytics, finance, marketing) at web scale.

Teespring implemented MemSQL, leveraging its in‑memory performance and ANSI SQL for dynamic querying. The sales analytics database was built in weeks, enabling real‑time metrics for seller optimization, improved targeting and personalization, faster operational reporting, offloaded critical reports, and refreshed dashboards — outcomes that have sped decision‑making and supported Teespring’s continued growth.

Teespring

Dan McCaffrey

VP Analytics