What are the Data Quality fields for Contact Email

This page details key email data quality metrics including accuracy, completeness, and validity, ensuring effective email analysis.

Data Quality Fields for Email

fields ensuring accuracy and timeliness for effective communication.

Email analysis relies on the standard Contact.Email field

Fields for Current Quality Metrics

These fields describe the current state of the email field for a given record.

Field Label	Explanation	Potential Value
D Email Accuracy (delpha__DDQ_QualityEmailAccuracy__c)	How accurate the email is.	OK / Odd Format / No
D Email Completeness (delpha__DDQ_QualityEmailCompleteness__c)	Whether the email field is filled in.	true / false
D Email Consistency (delpha__DDQ_QualityEmailConsistency__c)	Is the email consistent with other fields or systems?	true / false
D Email Validity (delpha__DDQ_QualityEmailValidity__c)	For email, validity concerns the safety of the email.	Valid / Invalid / Unknown
D Email Uniqueness (delpha__DDQ_QualityEmailUniqueness__c)	Number of times the same email appears in the dataset.	Number
D Email Timeliness (delpha__DDQ_QualityEmailTimeliness__c)	How long since you received an email from this email address.	A to F
D Email Status (delpha__DDQ_QualityEmailStatus__c)	Status based on the email history in your mailbox	New/Tested/Validated/Invalid
D Email Score (delpha__DDQ_QualityEmailScore__c)	Aggregated quality score (0–100).	0 to 100
D Email Last Updated (delpha__DDQ_QualityEmailLastUpdated__c)	Timestamp of the last data quality analysis done on Email field	date
D Email Qualification (delpha__DDQ_QualityEmailQualification__c)	Type of email (e.g., professional, generic).	nominative@pro / catchall@pro / nominative@perso / catchall@perso / Unknown@pro / spamtrap@pro / rolebased@pro / Invalid / Unknown

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Fields for Delpha’s Recommendation

These fields represent Delpha’s suggested correction or improvement to the current email field.

Field Label	Explanation	Potential Value
D Email Recommended (delpha__DDQ_QualityEmailRecommended__c)	Email address Delpha suggests using.	Generated and Tested by our AI Models
D Email Recommended Qualification (delpha__DDQ_QualityEmailRecommendedQualification__c)	Type of email recommended.	nominative@pro / catchall@pro / nominative@perso / catchall@perso / Unknown@pro / spamtrap@pro / rolebased@pro / Invalid / Unknown
D Email Recommended Score (delpha__DDQ_QualityEmailRecommendedScore__c)	Confidence level of the recommendation.	0 to 100
D Email Recommended Status (delpha__DDQ_QualityEmailRecommendedStatus__c)	Current processing state of the recommendation.	ToBeAssessed / Not Found / Potential / BotYes / BotNo / BotEdit / StewardYes / StewardNo / AutoYes / AutoNo / Failed / DoNotAssess / Sent

• All our recommended emails are tested

• To get more insight on the Data Quality Dimensions for Email, check this reference article