What percentage of domains in signup lists are bad, and what are the best practices for ensuring data cleanliness?

Summary

Maintaining high data quality in email signup lists involves a multi-faceted approach. Experts estimate that around 5% of domains in a typical signup list can be problematic. Key practices include employing address validation tools to catch typos and syntax errors, implementing real-time email verification to prevent risky addresses from entering the database, and regularly cleaning lists to remove inactive or invalid subscribers. The use of double opt-in is encouraged, although awareness of its potential vulnerabilities, like spam traps, is important. Furthermore, incentivizing accurate data input, being vigilant against address harvesting, and leveraging technical validations, such as DNS and MX record checks, are critical components. Focusing on permission-based lists and suppressing complainers further bolster sender reputation.

Key findings

  • Bad Domain Estimate: Approximately 5% of domains in signup lists may be considered 'bad'.
  • Address Validation Tools: Address validation tools are crucial for catching common errors.
  • Real-Time Verification: Real-time verification prevents invalid addresses from being added to lists.
  • List Cleaning: Regular list cleaning is vital for removing inactive and invalid addresses.
  • Double Opt-In Considerations: Double opt-in is valuable but can be exploited by spammers.
  • Importance of Permission: Focus on acquiring permission-based lists to ensure quality.
  • Address Harvesting: Address harvesting is a concern, leading to poor list quality.
  • DNS Records: Leveraging DNS (MX) records aids in domain validation.
  • List Hygeine: Careful list hygiene including suppressing complainers helps protect sender reputation.

Key considerations

  • Proactive vs. Reactive Measures: Balance proactive measures like real-time verification with reactive measures like regular list cleaning.
  • Data Decay: Acknowledge data decay; regular cleaning addresses inevitable degradation.
  • Spam Traps: Be aware of spam traps and implement measures to avoid them.
  • Purchased Lists: Avoid purchasing lists, which are often low-quality.
  • Technical Implementations: Some validations require technical expertise; consider available services.
  • Budget Allocation: Allocate budget for services that automate validation and cleaning.
  • Legal Compliance: Ensure list practices comply with data privacy regulations like GDPR.

What email marketers say
14Marketer opinions

Ensuring data cleanliness in email signup lists involves several key practices. Utilizing address validation tools to catch typos, syntax errors, and disposable email addresses is crucial. Employing real-time email verification during signup can prevent risky addresses from entering the database. Regularly cleaning email lists to remove inactive subscribers and using batch email verification services are also recommended. Confirmed opt-in and incentivizing accurate data input can improve list quality. Being vigilant against address harvesting and implementing multi-step signup processes also helps.

Key opinions

  • Address Validation: Address validation tools are readily available and can catch typos and syntax errors.
  • Double Opt-In: Double opt-in is a recommended solution for ensuring data cleanliness and active consent.
  • Real-Time Verification: Real-time email verification during signup prevents risky email addresses from entering the database.
  • List Cleaning: Regularly cleaning email lists removes inactive subscribers and addresses that decay over time.
  • Spam Trap Removal: Identifying and removing spamtrap addresses helps maintain a clean sender reputation.
  • Batch Email Verification: Batch email verification services help identify and remove invalid or risky addresses.
  • Multi-Step Signup: Multi-step signup process can help in email validation

Key considerations

  • Address Harvesting: Be vigilant about address harvesting, as these emails are often invalid or spamtrap addresses.
  • Data Decay: Email lists require regular cleaning due to data decay.
  • Incentives: Offer incentives for accurate data input to improve the quality of signups.
  • MX Records: Perform MX record lookups as a common email validation technique.
  • Automated Submissions: Be aware of automated submissions of addresses, especially at unusual TLDs.
Marketer view

Email marketer from ZeroBounce Blog shares that common errors in email lists include typos, role-based addresses, and disposable emails and that these should be removed.

October 2024 - ZeroBounce Blog
Marketer view

Email marketer from Validity Blog suggests using services that identify and remove spamtrap addresses from email lists to maintain a clean sender reputation.

December 2023 - Validity Blog
Marketer view

Email marketer from HubSpot Blog suggests incentivizing subscribers to provide accurate information during signup, such as offering a discount or exclusive content.

June 2024 - HubSpot Blog
Marketer view

Email marketer from Kickbox Blog suggests using real-time email verification during signup to prevent invalid or risky email addresses from entering your database.

December 2023 - Kickbox Blog
Marketer view

Email marketer from LinkedIn advocates for multi-step signup process which involve confirming the email address before activating the account can help in email validation

April 2024 - LinkedIn
Marketer view

Marketer from Email Geeks finds it amazing that address validation tools are readily available and free, yet many people don't bother using them to catch typos and other errors.

May 2021 - Email Geeks
Marketer view

Email marketer from an Email Marketing Forum advises being vigilant about address harvesting, as these emails are often invalid or spamtrap addresses.

October 2021 - Email Marketing Forum
Marketer view

Email marketer from Email Hippo Blog advises regularly cleaning email lists to remove inactive or unengaged subscribers, as data decays over time.

January 2022 - Email Hippo Blog
Marketer view

Marketer from Email Geeks shares observations that indicate automated submission of addresses at domains with MXes on 250ok's trap network. They suspect shady people trying to game mailboxpark payouts.

October 2024 - Email Geeks
Marketer view

Email marketer from Reddit shares that common email validation techniques involve checking for syntax errors, disposable domains, and performing MX record lookups, also encouraging periodic list cleaning.

October 2024 - Reddit
Marketer view

Marketer from Email Geeks suggests double opt-in as a solution for data cleanliness.

March 2023 - Email Geeks
Marketer view

Email marketer from Litmus Blog recommends using confirmed opt-in (double opt-in) to ensure subscribers actively consent to receiving emails, reducing the risk of invalid addresses.

November 2021 - Litmus Blog
Marketer view

Email marketer from NeverBounce Blog recommends cleaning your email lists regularly using batch email verification services to identify and remove invalid or risky addresses.

January 2025 - NeverBounce Blog
Marketer view

Email marketer from TowerData Blog shares that email validation catches typos, syntax errors, and disposable email addresses in signup lists.

December 2024 - TowerData Blog

What the experts say
5Expert opinions

Maintaining data cleanliness in email signup lists is crucial for protecting sender reputation. A significant percentage of domains, around 5% in some instances, can be 'bad domains' due to typos, spam traps, or being automatically generated. Experts emphasize the need for careful list hygiene, including suppressing complainers and non-responders, and regularly cleaning lists to remove inactive subscribers. Avoiding purchased or harvested lists and focusing on permission-based signups are essential.

Key opinions

  • Bad Domain Percentage: Approximately 5% of domains in some signup lists can be 'bad domains'.
  • Data Quality Importance: Focusing on data quality is essential for protecting sender reputation.
  • List Hygiene: Careful list hygiene includes identifying and suppressing complainers and non-responders.
  • Regular List Cleaning: Regular list cleaning involves removing inactive subscribers to improve deliverability.
  • Problems with Double Opt-in: Double opt-in can have its own problems with typo domains and spam traps.

Key considerations

  • Permission-Based Lists: Focus on building permission-based lists to avoid bad email addresses.
  • Purchased/Harvested Lists: Avoid purchasing or harvesting email addresses.
  • Spam Traps: Be aware of typo domains and spam traps that may exploit double opt-in processes.
Expert view

Expert from Word to the Wise explains that bad email addresses can include those purchased from third parties, harvested from websites, or automatically generated, emphasizing the importance of permission-based lists.

June 2021 - Word to the Wise
Expert view

Expert from Email Geeks explains that double opt-in has its own problems. Some use typo domains as spam traps that also feed the links into their virus engine, that then follows every link including the confirmation link.

November 2022 - Email Geeks
Expert view

Expert from Email Geeks shares that when doing data work for a large brand, they found that 5% of 8400 domains from the client's list were 'bad domains' according to their tools. They also mention this isn’t unusual and likely a common occurrence.

June 2023 - Email Geeks
Expert view

Expert from Spam Resource explains that focusing on data quality through careful list hygiene, including identifying and suppressing complainers and non-responders, is essential for protecting sender reputation.

September 2024 - Spam Resource
Expert view

Expert from Word to the Wise shares the importance of regular list cleaning, including removing inactive subscribers, to improve deliverability and engagement metrics.

January 2023 - Word to the Wise

What the documentation says
4Technical articles

Ensuring data cleanliness in email signup lists involves a combination of technical validation steps. Email verification processes include syntax checks, domain checks, and mailbox existence checks to identify invalid addresses. Real-time bounce prevention is also critical. Formal email address syntax specifications, such as those detailed in RFC 5322, can be used for validation. DNS records (MX, A, etc.) can validate domain existence. Services like Amazon SES can validate email addresses and monitor bounce rates.

Key findings

  • Email Verification Elements: Email verification includes syntax checks, domain checks, and mailbox existence checks.
  • Bounce Prevention: Real-time bounce prevention is crucial for data cleanliness.
  • Formal Syntax: RFC 5322 provides formal specifications for email address syntax.
  • DNS Validation: DNS records (MX, A, etc.) can validate domain existence.
  • AWS SES Validation: Amazon SES can validate email addresses and monitor bounce rates.

Key considerations

  • Technical Expertise: Implementing these validation steps may require technical expertise or integration with third-party services.
  • Resource Utilization: Real-time verification and monitoring can consume resources and require careful planning.
  • Service Costs: Utilizing services like Amazon SES involves costs that should be factored into the budget.
Technical article

Documentation from Mailgun explains that email verification involves syntax checks, domain checks, mailbox existence checks, and real-time bounce prevention to ensure data cleanliness.

July 2021 - Mailgun Documentation
Technical article

Documentation from RFC Editor details the formal specification for email address syntax, which can be used to validate the format of email addresses during signup.

September 2024 - RFC Editor
Technical article

Documentation from AWS explains how to use Amazon SES (Simple Email Service) to validate email addresses and monitor bounce rates, helping to maintain a clean sending reputation.

November 2021 - AWS Documentation
Technical article

Documentation from MXToolbox details how to use DNS records (MX, A, etc.) to validate the existence and validity of email domains.

March 2024 - MXToolbox Documentation