How does Google calculate spam rate and what does 'active users' mean in Google Postmaster Tools?

Summary

Google calculates spam rate as the percentage of emails marked as spam by users compared to the number of emails sent to the inbox. Experts suggest this calculation isn't fully transparent, and the accuracy of Google's FAQ is debated. The definition of 'active users' in Google Postmaster Tools is undefined, possibly encompassing recent Gmail engagement. User complaints significantly impact sender reputation. A low spam rate (below 0.1%) is vital. Key factors influencing spam rate are irrelevant content, poor list hygiene, and lack of authentication. Improving deliverability requires list hygiene, relevant content, sender authentication (SPF, DKIM, DMARC), engagement tactics, double opt-ins and monitoring feedback loops and user complaints.

Key findings

  • Spam Rate Calculation: Google calculates spam rate as the percentage of emails marked as spam by users divided by the number of emails sent to the inbox.
  • Active User Definition: The definition of 'active users' within Google Postmaster Tools remains undefined, but is speculated to refer to recent users who have been active in their accounts (logins etc).
  • Complaints Impact: User complaints and direct spam marking are primary determinants of inbox placement and significantly impacts sender reputation.
  • Spam Rate Threshold: Maintaining a spam rate below 0.1% is generally considered essential for good email deliverability.
  • Sophisticated Spam Filtering: Google's spam filter uses sophisticated algorithms and considers various factors including individual user preferences.

Key considerations

  • List Hygiene: Routinely clean your email lists by removing inactive or invalid addresses to improve engagement metrics.
  • Content Relevance: Ensure email content is relevant, personalized, and engaging to reduce the likelihood of being marked as spam and to maximize opens and clicks.
  • Sender Authentication: Implement and maintain SPF, DKIM, and DMARC authentication protocols to verify your sending identity and increase trust with mailbox providers.
  • Double Opt-In: Implement a double opt-in process to verify email addresses and ensure that subscribers genuinely want to receive your emails.
  • Engagement Tracking: Monitor engagement metrics such as open rates, click-through rates, and bounce rates to identify and address any deliverability issues or content performance problems.
  • Feedback Loops: Implement and monitor feedback loops to identify and address user complaints and improve email practices, resolving deliverability issues.

What email marketers say
11Marketer opinions

Google calculates spam rate based on user-marked spam versus emails sent to the inbox. The exact definition of 'active users' in Google Postmaster Tools is not explicitly defined, but likely refers to users who have recently engaged with their Gmail account. Maintaining a low spam rate (ideally below 0.1%) is crucial for deliverability. Factors influencing spam rate include irrelevant content, misleading subject lines, outdated lists, poor sending reputation and low user engagement. Effective strategies to improve deliverability and reduce spam rates include list hygiene, double opt-ins, segmented content, monitoring bounce rates, A/B testing, email authentication (SPF, DKIM, DMARC), and using confirmed opt-in.

Key opinions

  • Spam Rate Calculation: Google calculates spam rate as the percentage of emails marked as spam by users compared to those delivered to the inbox.
  • Active User Definition: The precise definition of 'active users' in Google Postmaster Tools is not publicly available, but it likely involves recent engagement with the Gmail account.
  • Spam Rate Threshold: Maintaining a spam rate below 0.1% is generally considered essential for good email deliverability.
  • Impact of User Action: User engagement and actions, like marking emails as spam or not engaging, significantly affect sender reputation and deliverability.

Key considerations

  • List Hygiene: Regularly clean your email lists to remove inactive or invalid addresses.
  • Content Relevance: Ensure your email content is relevant and engaging to your audience.
  • Sender Authentication: Implement SPF, DKIM, and DMARC authentication protocols to verify your sending identity.
  • User Engagement: Focus on improving user engagement through targeted content, A/B testing, and monitoring bounce rates.
  • Double Opt-in: Using double opt-in helps to ensure subscribers are genuine and engaged.
  • Complaint Monitoring: Track and address any user complaints through feedback loops.
Marketer view

Email marketer from Hunter.io discusses the importance of keeping spam rate low (under 0.08%) by employing strategies such as using a confirmed opt-in, sending relevant and useful emails as well as segmenting your recipient list.

April 2021 - Hunter.io
Marketer view

Email marketer from Zerobounce discusses how several factors will impact your spam rates including: Sending to unengaged recipients, a high bounce rate and poor sending reputation.

December 2022 - ZeroBounce
Marketer view

Email marketer from Reddit shares that recipients marking emails as spam directly impacts sender reputation with major ISPs. They suggest focusing on list hygiene and relevant content.

May 2023 - Reddit
Marketer view

Email marketer from Litmus shares that spam filters are not the only thing determining if you go to spam; user interaction is important too. If the user marks your email as spam then it will count negatively towards your sender reputation.

January 2025 - Litmus
Marketer view

Expert from Email Geeks shares that active might simply mean users who have used mail in the last 180 days.

November 2024 - Email Geeks
Marketer view

Email marketer from Gmass recommends segmenting email lists to send targeted content, monitoring bounce rates to remove invalid addresses, and A/B testing subject lines to improve engagement and reduce spam complaints.

December 2023 - Gmass
Marketer view

Email marketer from Mailjet shares that a high spam rate indicates that a significant portion of recipients are marking emails as unwanted. This can be influenced by factors like sending irrelevant content, using misleading subject lines, or having an outdated email list.

July 2022 - Mailjet
Marketer view

Email marketer from EmailToolTester advises that keeping the spam rate below 0.1% is crucial for maintaining good deliverability. They recommend regularly cleaning email lists and using double opt-in.

September 2024 - EmailToolTester
Marketer view

Email marketer from EasySendy discusses the importance of authenticating your emails to avoid being flagged as spam, this involves steps such as setting up SPF, DKIM and DMARC.

August 2023 - Easysendy.com
Marketer view

Expert from Email Geeks states that the FAQ is correct, including the part about the spam rate potentially going down if a lot of email is already sent to the spam folder. He explains that not all people vote email as spam, and the low percentage of users who get the mail in their inbox might actually want that email or simply don’t care.

June 2023 - Email Geeks
Marketer view

Email marketer from Email Marketing Forum speculates that 'active users' in Google Postmaster Tools likely refers to users who have recently engaged with their Gmail account, such as logging in or reading emails, but the exact criteria is not publicly disclosed.

September 2021 - Email Marketing Forum

What the experts say
6Expert opinions

Experts agree that Google's exact spam rate calculation methods are not fully transparent and their official FAQ may be misleading. Google considers user complaints a major factor in determining inbox placement, and its spam filter is highly sophisticated, learning from individual user preferences. The definition of 'active users' within Google Postmaster Tools remains undefined but could encompass various engagement metrics.

Key opinions

  • Calculation Transparency: Google's precise methodology for calculating spam rate is not publicly detailed.
  • FAQ Accuracy: The accuracy of Google's spam rate FAQ has been questioned, particularly regarding emails delivered directly to spam folders.
  • Active User Definition: Google has not defined what constitutes an 'active user' in the context of spam rate calculation; potential factors may include logins, email opens, and tab visits.
  • Complaint Impact: User complaints are a primary determinant of inbox placement, significantly impacting sender reputation.
  • Sophisticated Spam Filter: Google's spam filter uses sophisticated algorithms to analyze emails and adapts to individual user preferences.

Key considerations

  • User Complaints: Minimize spam complaints as much as possible, as they heavily influence deliverability.
  • Content Relevance: Ensure email content is relevant and engaging to reduce the likelihood of being marked as spam.
  • Inferred engagement: While Google is not transparent on active users, aim to maximise the number of active and engaged customers as a best practice.
  • Proactive Monitoring: Monitor deliverability metrics and sender reputation to identify and address potential issues proactively.
Expert view

Expert from Wordtothewise.com shares the spam filter is very sophisticated and looks at a huge number of factors. It's designed to learn what the user considers spam and to put similar messages into the spam folder.

March 2023 - Wordtothewise.com
Expert view

Expert from Email Geeks says Google's spam rate FAQ is wrong, especially the part about substantial emails delivered directly to spam folders. She explains that spam foldering changes the spam rate because ESPs calculate based on 'number delivered' and assume all mail goes to the inbox. Google calculates the rate based on the amount of mail in the inbox.

December 2023 - Email Geeks
Expert view

Expert from Spamresource.com explains that complaints are a leading factor in determining inbox placement. Too many spam complaints will severely damage your reputation and ability to reach the inbox.

July 2024 - Spamresource.com
Expert view

Expert from Wordtothewise.com highlights that if the recipient marks email as spam, that's a clear sign to mailbox providers that the email is unwanted. This can lead to deliverability issues and damage sender reputation.

December 2022 - Wordtothewise.com
Expert view

Expert from Email Geeks states Google has never been that detailed about how they calculate spam rate and there has been no announcement of a change that she is aware of.

May 2024 - Email Geeks
Expert view

Expert from Email Geeks mentions that Google hasn't defined what "active users" are. It could mean people who log into their Gmail account, open the message, log in when the message is on the first page, or went to the promotions tab.

April 2021 - Email Geeks

What the documentation says
4Technical articles

According to official documentation, Google calculates spam rate by dividing the number of user-reported spam emails by the total number of emails delivered to inboxes. A high spam rate negatively impacts deliverability, and spam complaints are a major factor in determining sender reputation. While Google's documentation doesn't define 'active users,' it implies the calculation focuses on users receiving emails in their inbox. Feedback Loops (FBLs) are essential for senders to monitor and address spam complaints, maintaining a healthy sender reputation.

Key findings

  • Spam Rate Calculation: Spam rate is calculated as (emails marked as spam) / (emails sent to inbox).
  • Active User Definition (Implicit): Google's calculation appears to focus on users who receive emails in their inbox, though 'active users' remains undefined.
  • Complaint Importance: Spam complaints are a key factor influencing sender reputation and deliverability.
  • Feedback Loops: FBLs provide crucial data for senders to identify and mitigate issues affecting deliverability.

Key considerations

  • Minimize Spam Complaints: Strive to reduce spam complaints to maintain a positive sender reputation.
  • Monitor Deliverability: Track deliverability metrics to identify and address potential issues.
  • Implement Feedback Loops: Utilize FBLs to gain insights into user complaints and improve email practices.
Technical article

Documentation from SendGrid explains that ISPs like Google use spam complaints as a major factor in determining sender reputation. A higher complaint rate leads to filtering or blocking.

August 2021 - SendGrid
Technical article

Documentation from SparkPost explains that Feedback Loops (FBLs) provide senders with data on spam complaints, allowing them to identify and address issues affecting deliverability. This helps in maintaining a healthy sender reputation.

April 2021 - SparkPost
Technical article

Documentation from Google doesn't explicitly define 'active users' in the context of spam rate calculation. It implies that the calculation focuses on users who receive emails in their inbox.

February 2025 - Google
Technical article

Documentation from Google Support explains that the spam rate is the percentage of emails marked as spam by users, divided by the number of emails sent to the inbox. A high spam rate can negatively impact deliverability.

October 2024 - Google Support