Best Practices for Merging Duplicates
Duplicate records can cause significant inefficiencies and inaccuracies in your CRM. Fortunately, RingLead, a ZoomInfo product, offers robust tools to tackle duplicate data effectively. Following these best practices will help you maintain a clean and accurate database while maximizing the benefits of using RingLead.
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Step 1: Use the Data Quality Report Card
The first step to managing duplicates is leveraging the Data Quality Report Card in RingLead. Here's how:
This scan helps you identify the best fields for duplicate matching, giving you a solid foundation for the merging process.
Step 2: Strict Matching First, Fuzzy Matching Second
When addressing duplicates, start with strict matching criteria for precise results and then refine with fuzzy matching.
Merging Leads First
Strict Match Rules
Fuzzy Match Rules
Merging Accounts Second
Take a phased approach:
Matching Rules:
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Merging Contacts Third
Strict Match Rules
Fuzzy Match Rules
Step 3: Merge Lead to Contact
Before merging leads into contacts, ensure all duplicate leads and contacts have been handled.
Matching Rules:
Step 4: Link Leads to Accounts or Convert Leads to Contacts
Decide whether to convert leads into contacts based on the account type:
Matching Rules:
Ensure the linked account ID field is created on the lead.
Why Clean Data Matters
Merging duplicates is not just a best practice—it’s essential for maintaining CRM health. Clean data drives more accurate reporting, effective outreach, and better decision-making.
Ready to transform your CRM data with RingLead? SpringDB can help get you a free report card issued by clicking this link here: Data Health Check Report Card.
By following these best practices, you’ll be on your way to a cleaner, more efficient database.
Account Manager at ZoomInfo | Nasdaq Listed: ZI
2 个月Excellent work Jordan