Gmail Postmaster Tools for Senders

logo_2xGoogle announced new postmaster tools for senders sending to Gmail.  The Gmail Postmaster Tools are to help “qualified high-volume senders analyze their email, including data on delivery errors, spam reports, and reputation.”  The updated postmaster pages also include Gmail’s best practices for bulk senders.
Postmaster Tools by Gmail http://gmail.com/postmaster
Update: ReturnPath has a blog post that includes data and definitions for each of the data points.

Related Posts

Protecting users from look-alike accounts

Gmail recently started accepting mail (and calendar invitations) with non-Latin characters. A lot of fraudulent emails use non-Latin characters as a way to fool users. Google is on top of these security issues, however, and is now throwing away some mail with non-Latin characters.

Read More

Google's Inbox Team answers questions on Reddit

The team behind Google’s new Inbox app did an “Ask us Anything” Q&A with reddit on December 3rd. The team consisted of a Product Manager, Designer, and Software Engineer and for two hours the team answered all sorts of questions.
Most of the questions were about new features or supporting additional email providers and it showed just how new this app is, it’s not quite ready to be your primary email client as Inbox only supports personal Gmail accounts. The Inbox team mentions they are working on supporting additional mail providers but does not give a timeline of when that would be available.
For email marketers, Google Inbox shares the same HTML sanitizer and media queries that Gmail does and when asked about email filtering it was mentioned that the direct marketing community would benefit by having a place for their emails within the Promos tab. They describe the Promo tab as

Read More

Thoughts on Gmail filtering

Gmail has some extremely complex filters. They’re machine learning based and measure hundreds of things about incoming mail. The filters are continually adjusting to changes and updating how they treat specific mail.
One consequence of continually adjusting machine learning filters is that filtering is not static. What passes to the inbox now, may not pass in a couple hours.
One of the other challenges with Gmail filters is that they look at all the mail mentioning a particular domain and so affiliate mail and 3rd party mail can affect delivery of corporate mail.
The good news is that continually adjusting filters adapt to positive changes as well as negative ones. In fact, I recently made a segmentation suggestion to a client and they saw a significant increase in inbox delivery at Gmail the next day.
Gmail can be a challenge for delivery, but send mail users want and mail does go to the inbox.

Read More