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  • Delpha Documentation
    • Welcome to Delpha Documentation
    • Delpha Setup
      • Install Delpha
        • Install Delpha package from the Salesforce App Exchange
        • Activate Delpha
        • Assign a Delpha Permission Set Group
        • Assign a Delpha licence to the users
        • Connect the org to Delpha
      • Import Conversations
      • Extra Tasks
        • Check my org settings
        • Install Delpha Connector for LinkedIn Enrichment
    • Delpha Upgrade
    • Delpha Apps
      • Delpha Setup
        • Delpha configuration
          • First Steps
          • Token Usage
          • Data Quality - Account
          • Data Quality - Contact
          • Duplicates
          • Job Tracker
          • Default Values
        • Conversations
        • Conversation Builder
          • High-level overview of the conversation builder
      • Delpha Data Quality
        • Data Quality Steward view
        • Duplicate Data Steward view
      • Delpha Score Meter
    • Use Cases Setup
      • Duplicate
        • Setup
          • Initialize the default settings
          • Activate Auto Merge
        • Duplicate detection
          • Properties section
          • Fields section
        • Run your first duplicate detection
        • Duplicate remediation
          • Merge Object Rules section
            • Master Record Selection
            • Custom rule for Master Record selection
            • Default rules for field selection
          • Merge Field Rules section
      • Data Quality
  • Delpha Campaigns
    • Create a Delpha Campaign
    • Configure a Delpha Campaign
      • Select the Campaign Type
        • Lead Generation
        • Job Tracking
        • Account Generation
      • Review and update the Settings
      • Add Campaign Members
  • HOW TO - FAQ
    • Quick Start Guide
    • Delpha Integration
      • How to add Delpha components in my standard layout
      • How can I add Delpha fields in my standard layout
      • How to manage conversation priority
      • How to manage the conversation auto opening
    • Delpha Job Tracking
      • How to display the Job History
      • How does job tracking works
    • Delpha LinkedIn Connector
      • How can I connect my LinkedIn Account to Delpha
      • I am not allowed to install Delpha Connector on my browser
      • How many records can be enriched with LinkedIn in a day per user?
      • How can I check if a LinkedIn cookie is properly set or valid
      • How is used my LinkedIn Cookie
      • How can I automate my lead generation
    • Delpha Duplicate
      • What is a Filtering Rule and how to use it
      • What is the Expression and how to use it
      • How to exclude records from the analysis
      • How to make Duplicate Records exclusion dynamic
      • How to Fix Duplicates in Salesforce with Delpha – Automatic, Bulk & Manual Options
      • How to modify the detection threshold
      • How to modify the auto process threshold
      • What algorithms are used by Delpha
      • How does the Duplicate scoring work
      • How to define a Golden Record for Duplicate
      • How do you differentiate Do Not Compare & Is Golden Record
      • How to sync Salesforce & Hubspot to deduplicate records
      • Duplicate detection - When does it happen?
      • How to set the frequency of the Auto Merge
      • How to create a Master selection custom rule
      • How to create a Master selection custom rule - Advanced
      • What are the duplicate status?
      • How to Merge 2 leads with different currencies
      • What is a Duplicate credit?
      • Do I consume a credit when merging a pair?
      • What is field grouping?
      • How can I hide a field from the Delpha Bot conversation?
      • How can I keep both values of a field after the merge
      • Some duplicate are not detected, what can I do?
      • Can I ignore some field values when detecting duplicates?
      • What data is available for Duplicate?
      • How can I create custom reports on Duplicate
    • Delpha Data quality
      • What are the 6 data quality dimensions
      • How to exclude records from the analysis
      • How to fix my data quality
      • What is a Token?
      • Do I consume a token when applying a Delpha recommendation?
      • Data Quality for Contacts
        • What are Data Quality Dimensions for Email
        • What are the Data Quality fields for Email
  • Delpha Campaigns
    • How to add records to a campaign from reports?
  • TROUBLESHOOT
    • Grant access for Delpha Support
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On this page
  • Data Quality Fields for Email
  • Fields for Current Quality Metrics
  • Fields for Delpha’s Recommendation

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  1. HOW TO - FAQ
  2. Delpha Data quality
  3. Data Quality for Contacts

What are the Data Quality fields for 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

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

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Last updated 28 days ago

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

reference article