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Case Study: Snowflake doubles new-customer conversions on top-scoring accounts with ZoomInfo data

Snowflake Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Snowflake
Industry
Cloud Data Platform
Challenge
Prioritizing accounts by propensity to convert
Headline result
2x higher new-customer conversion

Key results

2x
New-customer conversion rate
Top-scoring accounts
90%
Higher opportunity open rates
Top-scoring accounts
25%
Higher customer engagement rate
Top-scoring accounts

The challenge

Snowflake wanted to strengthen its territory planning and account management by scoring accounts on their propensity to convert. Doing so required rich, reliable firmographic and technographic data to feed its model.

The solution

Snowflake fed ZoomInfo Data Cubes and real-time Scoops intent (via the ZoomInfo API) into its Account Propensity Scoring model. At least one-third of the model's critical data features were derived from ZoomInfo's 70+ data fields.

I give props to the data services team at ZoomInfo. They've done really a great job working with us to get us what we need.

DG
David Gojo
Sales Data Science Manager, Snowflake

The results, in context

Top-scoring accounts delivered a 25% higher customer engagement rate, 2x higher new-customer conversion rates, and 90% higher opportunity open rates.

Products used

ZoomInfo Data CubesZoomInfo APIZoomInfo Scoops