Learn how Delpha evaluates email fields using six data quality dimensions: completeness, validity, uniqueness, consistency, accuracy, and timeliness.
Delpha evaluates each field using 6 key data quality dimensions. Below is how each dimension applies to email fields, helping users interpret scores and drive cleanup efforts.
Question: Is a value provided for the field? If no email is present, this dimension will be marked as incomplete.
Question: Is the email address safe and valid?
Delpha checks if the email can safely be used.
⚠️ Depends on Completeness:
If the email is incomplete, then:
Validity
Question: Is the email unique in your Salesforce database? Duplicate email addresses across contacts may flag this dimension as problematic.
Question: Does the domain of the email match the related Account domain?
Ensures the email logically belongs to the company linked to the record.
⚠️ Depends on Completeness:
If the email is incomplete → Consistency = False
Question: Does the email match expected patterns with a high confidence score?
Based on Delpha’s AI model and pattern matching logic.
⚠️ Depends on Completeness and Validity:
If the email is incomplete or invalid → Accuracy = No
Question: Is the email still active or in use?
Measured by whether an email has been received from this address in the last 30 days.
Helps determine if the contact data is still current.
InvalidQualification = Invalid
Complete
Completeness = true
A value is provided
Complete: an email address has been provided
Missing
Completeness = false
Value is blank or null
Missing: no email address has been provided
Safe
Validity = “Valid” and
Qualification=nominative@pro
The email is nominative pro and could be pinged
Safe: the email address has a high likelihood of successful delivery and engagement
Risky
Validity = “Valid” and
Qualification in:
catchall@pro
Unknown
rolebased@pro
nominative@perso
catchall@perso
Depending on the qualification, the email was pinged, or does not need to be pinged.
Risky: the email address carries some level of risk of bouncing or being flagged as spam
Invalid
Validity = “Invalid” or
Qualification in:
Invalid
spamtrap@pro
Means that the email is incomplete, could not be pinged, or is a spamtrap
Invalid: the email address is invalid, undeliverable, or non-existent
Unique
Uniqueness = 1
Unique: this email address is unique on your database
Missing
Uniqueness > 1
Not unique: other contact(s) have the same email address
Consistent
Domain is correct
Consistent: the email address domain is the correct one for this company
Inconsistent
Domain mismatch
Inconsistent: the email address is missing, or the email address domain differs from the company email domain
Accurate
Accuracy = “Ok”
The email is valid and matches a pattern with a high score for this account.
Accurate: the email address seems to match the current contact
Odd Format
Accuracy = “Odd Format”
The email is valid and matches a pattern with a low score for this account.
Odd Format: the format of the email address does not correspond to the standard email address format for this company
Invalid
Accuracy = “No”
The email is empty or invalid
Invalid: the email is either missing or invalid, so it cannot be accurate
Up to Date
Date of last received email <= 30 days
Up to Date: you received an email from this address recently
Outdated
Date of last received email > 30 days
Outdated: you didn't receive any email from this address in the past month
