Case Study: Global Semiconductor Company achieves 50% increase in lead-to-account match rate with Tamr Inc.

Driving Sales by Solving Customer Account Hierarchies

Global Semiconductor Company, a $5bn manufacturer with more than 100,000 customers, faced poor lead-account matching (only 36% matched), siloed customer data across systems like Microsoft Dynamics and Adobe Campaign, heavy reliance on slow third-party data-matching vendors, and multilingual data challenges in Chinese and Japanese. To address this, the company engaged Tamr Inc. and its human-guided, machine-learning-powered, cloud-first B2B customer data mastering solution.

Tamr Inc. implemented its data mastering technology (including Google Translate enrichment for language issues), delivering a 50% increase in lead-to-account match rate within the first two weeks, drastically reduced reliance on third-party matching, and cut lead-response times from weeks to days. These improvements boosted cross-sell and upsell effectiveness, saved hundreds of thousands of dollars, and gave the company a unified, actionable global view of accounts to accelerate deal closure and improve negotiations.