Case Study: Hookit achieves 30x faster revaluation of 500 million social posts with Snowflake

Hookit Revalues 500 Million Social Posts 30x Faster with Snowflake

Hookit, a San Diego–based SaaS company that provides Sponsorship Analytics and Valuation services to brands like TaylorMade and Bose, ingests and analyzes billions of social posts to measure sponsorship ROI. Its on‑premises, queue‑based architecture couldn’t scale with rising demand: manual queue management slowed processing (some jobs took ~10 minutes), eroded data confidence, caused multi‑week report delays, and produced only a 70% on‑time delivery rate.

Hookit migrated its valuation engine to Snowflake on AWS, adopting a multi‑cluster shared data architecture to automate nightly revaluation of 500 million social posts and power its API. The move delivered a 30x query speedup (10 minutes → 20 seconds), cut data‑warehouse costs by ~40%, reduced internal support tickets by 88%, freed five FTEs to focus on higher‑value work, and drove on‑time deliveries to nearly 100%, enabling faster product innovation and plans for secure data sharing with customers.

Hookit

David Lin

VP of Product and Engineering