FOCUS 01⊙
Data quality
Record ADeniz Kaya↔Record BD. Kaya
Duplicate groups
See potential duplicate contacts and companies in a review queue.
Data / Missing information, duplicates and email confidence
CRM data quality: duplicates and missing information
Review contact and company duplicate groups, missing fields and email confidence signals. Merge suitable contacts through an explicit review.
PRODUCT VIEW
See how it works.
Data Quality examines duplicate contact and company groups, missing email and phone fields, and missing industry information. Potential duplicates are highlighted with confidence levels, while contact merging requires an explicit review. Email results distinguish verified mailbox evidence, sendable domains, addresses needing further signals and addresses that should not be sent to.
EXPLORE THE PRODUCT
Sample viewData quality
Record A
NameDeniz Kaya
EmailContact information
CompanySample company
Record B
NameD. Kaya
EmailContact information
CompanySample company
Review the records first
Company duplicates require manual review because domain, opportunity and ownership relationships may differ.
01Review the signals
02Compare records
03Assess email confidence
FROM NEED TO OUTCOME
Where this helps.
Keeping a relationship in several records can fragment its history. Technical acceptance or an open-tracking signal does not alone prove that an email address actually exists.
WHAT YOU CAN WORK TOWARDS
Work through a visible data correction queue and distinguish types of evidence when preparing communication.
STEP BY STEP
How to use it.
- 01
Review the signals
Assess duplicate groups and missing-field counts within the search scope.
- 02
Compare records
Review why records may be duplicates and inspect their relationships before deciding on an eligible contact merge.
- 03
Assess email confidence
Choose the email checking scope and read results with mailbox evidence distinguished from technical signals.
INSIDE THE MODULE
What can you do?
FOCUS 02▤
Data quality
Record ADeniz Kaya↔Record BD. Kaya
Contact merging
Use the available merge operation for eligible contact groups after explicit review.
FOCUS 03↗
Data quality
Record ADeniz Kaya↔Record BD. Kaya
Missing-field tracking
Treat missing email, phone and industry information as separate correction needs.
FOCUS 04◇
Data quality
Record ADeniz Kaya↔Record BD. Kaya
Email confidence layers
Examine mailbox evidence separately from domain confidence or technical signals.
FOCUS 05⌁
Data quality
Record ADeniz Kaya↔Record BD. Kaya
Check progress
Track progress and results of the selected verification scope on the existing screen.
IN EVERYDAY WORK
What it looks like in practice.
A bulk import produces contacts and companies with similar names.
Review duplicate candidates and make suitable corrections while considering their relationships.
Scenarios are illustrative; they are not customer testimonials or measured performance claims.
KNOW WHAT IS INCLUDED
Plans, permissions and limits.
Data quality tools are included in every plan. External email verification and research usage are scoped separately.
- Company duplicates require manual review because domain, opportunity and ownership relationships may differ.
- Acceptance by a sending provider or a tracking request is not direct mailbox evidence.
YOUR QUESTIONS
About this feature.
01Are duplicates deleted automatically?+
The screen is review-oriented and highlights potential duplicates. Eligible contact merges are explicit actions; company relationships are assessed manually.
02What does email verification show?+
Results distinguish evidence types. Domain confidence, inconclusive checks and direct mailbox evidence are not treated as the same confidence level.
RELATED WORKFLOW GUIDES
You may also need these features.
MODULES THAT WORK TOGETHER
Explore related modules.
01↗02↗03↗
Customer relationships
Keep contact details, company relationships and past conversations in one shared record.
Email marketing
Manage campaign preparation, templates, audiences and delivery records in one place.
Data management
Identify gaps in CRM records and manage migration and data organization around the workspace’s actual needs.