Campaign Cleaner's MX Vision tool processes your email list and maps every domain to its mailbox provider - giving you a clear breakdown of how your audience distributes across Gmail, Outlook, Yahoo, Apple Mail, and more.
Quick Overview of Features
MX Vision is Campaign Cleaner's email list analysis tool that maps every domain in your subscriber list to its mailbox provider. It performs MX record lookups - querying the DNS mail exchanger records for each unique domain - and groups the results into a clear percentage breakdown showing how your audience distributes across Gmail, Outlook, Yahoo, Apple Mail, and other providers. This gives you a factual, data-driven picture of whose infrastructure your emails must navigate before reaching your subscribers.
The tool works by resolving the MX records of each domain rather than making assumptions based on the domain name itself. A subscriber with an email at a custom business domain may actually have their mail hosted on Google Workspace, Microsoft 365, or another major platform. MX Vision identifies the true underlying provider regardless of the domain name shown, so your breakdown reflects actual infrastructure rather than surface-level guesses.
Every major mailbox provider operates its own spam filtering system, sender reputation framework, and engagement scoring algorithm. What satisfies Gmail's requirements does not automatically satisfy Outlook's, and what Yahoo demands differs from both. Without knowing how your list breaks down, you are optimizing deliverability in the abstract - making improvements that may or may not address the specific systems that most of your subscribers actually use.
Knowing that 70% of your list is on Gmail tells you that Gmail's filtering requirements are the highest-leverage place to focus your pre-send work. Knowing that 30% is on Outlook-hosted business domains tells you that corporate gateway settings and Microsoft's SmartScreen filter deserve dedicated attention. The provider distribution turns deliverability optimization from a generic checklist into a targeted, prioritized action plan based on your actual audience.
Gmail places heavy weight on recipient engagement history. Its machine learning systems track whether recipients open, click, reply to, or delete your messages - and build an individual sender reputation that influences how future messages are classified. A sender with strong engagement history consistently reaches the inbox, while one with low engagement gets progressively demoted to the Promotions tab or spam folder, even if the content itself is clean.
Outlook's SmartScreen filter gives significant weight to sending domain reputation, bulk sender signals, and comp