Melissa Data Quality Platforms
Melissa's Full Spectrum DQ Approach. Learn More
ETL/MDM PlatformsMelissa offers a host of solutions for full spectrum data quality to ensure the success of your data.
Melissa Data Quality
Verify, correct & cleanse contact data in 240+ countries.Melissa Identity Verification
Reduce fraud and comply with KYC/AML laws.Melissa E-Commerce / CRM
Apps and APIs for higher conversions, better data and more reliable shipping. See All Melissa IntegrationsMelissa Industries
Use our data quality solutions for a wide range of industries.Service Bureau
Melissa's consulting services are customized to your projects.SaaS
Clean and update your data in the cloud, no software required.
Our Data
Verify & enrich your records with multi-sourced, authoritative reference datasets.
Input
Validates an address at point of entry so bad data never enters your system.
Parse & Standardise
Identifies common syntax errors, illegal characters and parses individual email address components. Checks and corrects most misspelled domain names, standardizes casing.
Privacy Flag
The Privacy Flag will show a “Y” if the Top Level Domain might adhere to privacy laws such as GDPR.
Email Mailbox Verify
SMTP ping in real time to determine address exists and can receive email.
Deliverability Confidence Score
Returns the percentage probability that an email will successfully reach the intended mailbox.
Output
A clean, deliverable email address ready for e-mailing, order fulfilment, or analytics.
Real-Time Email Mailbox Verification
Two levels of service are available depending on your speed & accuracy needs.
Global Email Express sacrifices accuracy for higher speeds than Premium by using a cached inbox validation database of known good and bad emails. All emails sent to the service will also be cached so they can be re-evaluated within a 90-day cycle.
Deliverability Confidence Score (DCS)
Our Deliverability Confidence Score (DCS) combines a range of variables and email validation methods to predict the likelihood that a message will successfully reach its intended inbox. The DCS consolidates the validation results and simplifies it to a score from 0 to 100. This score helps you focus on emails that are not only valid but also more likely to be active and engageable. Leveraging DCS to refine your email marketing lists will ensure you reduce bounces and increase ROI.
Determining Factors for DCS:
- Validation Status - The overall status as well as any special flags associated with an email.
- Email Metadata - Information such as email age and historical engagement provides valuable insights into the email’s activity level.
- Domain Information - The type and security architecture of a domain help predict any complications with email delivery.
Predictive Accept-All Validation
Our Predictive Accept-All Validation feature offers a unique approach to evaluating emails hosted on accept-all servers. While these servers might typically mask inactive or invalid addresses, our proprietary Predictive Accept All algorithm analyses patterns and traces of historical activity, giving users a reliable window into the likelihood of successful delivery.
- Accept all domains are configured to accept emails sent to any address, regardless of whether that specific address actually exists or is inactive.
- The predicted deliverability of an accept all mailbox will be reflected by the Deliverability Confidence Score (DCS) for that email.
Syntax Checking and Domain Correction
Utilises state-of-the-art fuzzy matching and data correlation algorithms to automatically correct common email errors, such as misspelled domains, outdated providers, and syntax mistakes. Our solution will validate the corrected and standardised version of the input email. By identifying and fixing typos like “gamail.com” to “gmail.com” prior to validation, the system ensures that each email address is accurate before it’s verified, leading to better results and enhanced mailing lists.
- General Syntax Checking - Enforces universally accepted email syntax rules and standardises the email address.
- Domain Corrections - Corrects the most common misspelling and typos for popular domain names.
- Domain Changes - Corrects outdated domain names belonging to an organisation to their new domain name.
Potentially Harmful Mailbox Types
- Spamtrap Detection - Detects spamtrap addresses at both the mailbox and domain level so you can get ahead of them and safeguard your sender reputation.
- Protected Mailbox Detection - Detects whether the mail provider is notorious for quickly marking unsolicited messages as a spam email.
- Suspicious Character Detection - Identifies characters that are not typically found in email addresses. These types of addresses can be used for advanced attacks, like SQL injection, on a business's infrastructure.
- Identifies Breached Emails - Identifies if, and how many times, an email address has been involved in a data breach in the past.
- Mobile Email Detection - Identifies mobile emails that are protected by FCC regulations. Sending unsolicited emails to these addresses can incur heavy fines.
Negative Indicators
- Disposable Domain Detection - Detects disposable email domains so you can avoid sending messages to temporary emails. Disposables are designed to become inactive after a short period.
- Accept-All Server - Identify mailboxes that are part of an accept-all mail server. These mail servers can claim validity regardless of the true status of an email address.
- Role Address Detection - Detects role addresses, like support@ticketmaster.com, that are unlikely to engage with emails unrelated to their specific function.
- Privacy Flag - Identifies email addresses that may be subject to privacy laws such as GDPR or CCPA.
Domain Information
- Domain Authentication Methods - Identifies how mail servers authenticate senders, allowing you to meet requirements and ensure delivery.
- Domain Information - Distinguishes between business and personal domains and provides comprehensive insights such as the domain’s locality, administrative organisation, and even proxy usage. This helps you better categorise and characterise recipients.
Privacy Flag
The top level domains or countries that may be sensitive to privacy laws. Returns Y for yes and N for no. Handle emails with a Y in privacy flag with caution.
The Privacy Flag will show a “Y” if the Top Level Domain might adhere to privacy laws such as GDPR. For example, the Top Level Domain “.de” is a German Top Level domain. Any Top Level Domain that end with a “.de” will have a “Y” in the Privacy Flag field. Any Top Level Domain that does not adhere to privacy laws will have an “N.”
