Case Study: Snowflake improves predictive-model accuracy by 14% and doubles top-tier conversion with LinkedIn Sales Solutions

Snowflake powers predictive modeling with LinkedIn Sales Insights

Snowflake, a cloud data platform with 5,500+ employees, faced unreliable, inconsistent account data that weakened its internal predictive account-propensity models used for annual account assignment and prioritization. To ensure their go-to-market teams targeted the right accounts, Snowflake needed accurate, complete, real-time account data within its Ideal Customer Profile.

By integrating LinkedIn Sales Insights with their CRM, Snowflake validated and expanded its data sources, boosting match rates from 70% to 95% and increasing data-matching accuracy by 30%. These improvements, along with other model changes, raised model accuracy by ~14%, doubled conversion rates for top-tier modeled accounts, and helped ingest ~7,000 high-value prospects—one of which led to a record deal—making Sales Insights the team’s source of truth for CRM verification.

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