How does Google calculate email complaints and how does it impact deliverability for different email streams from the same domain?

Marketer from Email Geeks agrees with Laura, stating that Google is good at fingerprinting certain types of sends, even from the same domain, and diluting is a dangerous game.

Marketer from Email Geeks shares experience of having clients sending shopping cart abandonment emails and newsletters from the same IP/domains, where the newsletters got 100% Gmail inbox placement, and the SCAEs got bulked.

Email marketer from SenderPulse shares that high complaint rates directly influence spam filtering decisions. ISPs use complaint rates as a key signal to determine whether to deliver emails to the inbox, spam folder, or block them entirely.

Email marketer from StackOverflow explains that Gmail's filtering system considers complaint rates, engagement, and content quality. High complaint rates trigger stricter filtering rules, potentially impacting all emails from the domain.

Email marketer from ReturnPath recommends monitoring sender reputation using tools like Sender Score. Sender Score considers complaint rates, sending volume, and other factors to assess email deliverability.

Marketer from Email Geeks mentions that the complaint calculation is by day, but the formula for inbox placement is likely more complicated than just staying below a certain complaint rate.

Email marketer from Reddit explains that Gmail uses complex algorithms to filter emails, including complaint rates, engagement metrics, and sender reputation. High complaint rates can lead to aggressive filtering, impacting inbox placement.

Email marketer from MailerQ responds that Google uses user behavior metrics to determine the inbox placement, and the spam rate (the percentage of users marking your emails as spam) is a key factor. A high spam rate can negatively affect your sender reputation and lead to deliverability issues.

Email marketer from EmailToolTester explains that maintaining a good sender reputation is crucial for avoiding the spam folder. Factors that impact this reputation include complaint rates, bounce rates, and overall engagement.

Email marketer from Gmass shares that a high spam score will usually land your email in the spam folder. They recommend using a tool such as Mail-Tester.com

Email marketer from Litmus shares that subscriber engagement metrics, such as open rates, click-through rates, and complaint rates, influence inbox placement. Low engagement and high complaint rates can lead to deliverability problems.

Email marketer from Mailjet explains that when recipients mark an email as spam, it negatively impacts your sender reputation. Lowered sender reputation can lead to emails being delivered to the spam folder or blocked altogether, impacting deliverability.

Expert from Spam Resource explains that IP reputation is a lagging indicator of your sending practices and can have a significant impact on deliverability. They also highlight that using shared IP addresses means your reputation is linked to the behaviour of all users sending from that IP.

Expert from Email Geeks shares that Google is very good at separating out different email streams, even from the same IPs and with the same identifiers, so a big campaign shouldn't necessarily be impacted by the high complaint rate of smaller, automated sends.

Expert from Email Geeks states there are no specific answers to the questions about reputation impact. She would be very concerned about the high complaint rates of the automated emails and worry about their deliverability. Given the ratios, she wouldn't worry too much about the big campaign having delivery problems. But Google looks at patterns, trends and does a lot of complex measurements. It's Machine Learning and machines learn things we don't always expect them to.

Expert from Word to the Wise responds to the question "How do I get my emails delivered?" by mentioning that you need to authenticate, send wanted mail to people who want it, and make it easy for people to unsubscribe. Sending mail to a list with even a few bad addresses is not okay.

Documentation from SparkPost explains that feedback loops (FBLs) are a mechanism where ISPs forward complaint data back to the sender. Monitoring and acting on FBL data is critical for identifying and addressing the root causes of complaints.

Documentation from Google Postmaster Tools highlights that a high spam rate indicates that users are marking your emails as spam. Aim to keep this rate low to maintain a good sender reputation and ensure emails reach the inbox.

Documentation from Microsoft's Smart Network Data Services (SNDS) provides data about complaint rates and spam trap hits. Monitoring SNDS helps to identify and address deliverability issues specific to Microsoft email services.

Documentation from Google Support explains that keeping the spam rate reported in Postmaster Tools below 0.10% and never exceeding 0.30% can help prevent emails from going to spam. If users are reporting spam for a sender’s messages, Google wants the sender to fix the issues causing a high spam rate.