Platform: Enolytics DTC
Summary:
What it shows: This data quality dashboard identifies potential duplicate customer contacts in your database, helping you spot customers who might have multiple profiles due to slight variations in their information. It's part of the data quality tools designed to keep your customer database clean and accurate.
Key visualizations: The main table displays suspected duplicate contacts side-by-side, showing details like names, email addresses, phone numbers, and purchase history to help you compare and identify true duplicates versus legitimate separate customers.
When to use it:
• Before running marketing campaigns to avoid sending multiple emails to the same customer
• During regular database maintenance to merge duplicate profiles and get a clearer view of customer behavior
• When you notice inflated customer counts or want to improve the accuracy of your segmentation and RFM scoring
Questions this page answers:
• How do I find customers who might have multiple profiles in my system?
• Where can I see potential duplicate contacts that need to be merged?
• Can I identify why my customer database might have inflated numbers?
• How do I clean up my contact list before sending club announcements or promotional emails?
• What customer records look similar enough to be the same person?
Tip: Focus on email addresses and phone numbers first when evaluating duplicates - customers often use slight variations of their names but typically stick to the same contact information.
Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below — it opens a quick chat so you can let us know.
Page Info
Category: Data Quality
Visual components: 2
Table: Possible Duplicate Contacts
Contact Url
Full Name
Customer Number
Duplicate Likelihood Score
Duplicate Likelihood Tier
Duplicate Match Reasons
Possible Duplicate Contact Url
Possible Duplicate Customer Number
Lifetime Value
Contact Created Date
Visual Components
Table: Possible Duplicate Contacts
Contact Url
Full Name
Customer Number
Duplicate Likelihood Score
Duplicate Likelihood Tier
Duplicate Match Reasons
Possible Duplicate Contact Url
Possible Duplicate Customer Number
Lifetime Value
Contact Created Date
Filter Panel
