Case Study: Sovos achieves a 55% increase in win rates with Leadspace

Sovos Increases Win Rates by 55% Using Leadspace Predictive Modeling

Sovos, a global provider of software that protects businesses from modern digital tax enforcement, was shifting to a more audience-centric, personalized account-based approach but was hampered by rapid growth and fragmented systems. Multiple data sources and poor systems design left their CRM full of stale, incomplete, duplicate and non-target records, preventing them from mapping buyer personas to actual accounts, prioritizing outreach, and aligning sales and marketing.

With Leadspace’s Customer Data Platform, Sovos cleaned and enriched their lead and account data in real time, appended 80+ actionable fields, and implemented lead-to-account matching, custom buyer personas and AI-driven predictive scoring. The result: a 25% improvement in pipeline quality, a 55% increase in win rates for Leadspace-scored accounts, a 12% lift in SAL-to-SQL conversion, shorter lead forms, better targeting of net-new accounts, and a single source of truth for their data.

Sovos

Jon Jagelsky

Marketing Operations Manager