OpsPal
Data Hygiene

Underwriting email data extraction into CRM

Years of lender offer and decline emails sat outside Salesforce, blocking performance analysis. We turned them into structured CRM records so lender relationship history and performance inputs became queryable in-system instead of buried in inboxes.

~29,000 emails

Extracted into CRM

Offer and decline emails turned into structured Salesforce records.

Inbox → queryable

Lender history in-system

Relationship history and performance inputs became searchable instead of buried in inboxes.

Challenge

Years of lender offer and decline emails sat outside Salesforce, blocking partner performance analysis and opportunity scoring.

Approach

We built a pipeline that extracted roughly twenty-nine thousand offer and decline emails into structured CRM records for tracking, analytics, and scoring.

Solution

With the emails parsed and bulk-loaded into lender relationship objects, lender relationship history and performance inputs became queryable in-system instead of buried in inboxes, giving the firm a foundation for partner performance analysis and opportunity scoring.

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