@A_Jamieson
I want to send a cold email to my subscribers to get their location, and after obtaining the location, I want to retarget them. However, after sending the email, I see different IP addresses and locations. I previously received an answer on this forum that antivirus or system tools might open the user's email, causing multiple IP addresses to show. But now, how can I determine the location? IP locations are different, and I want to run a location-wise campaign next. I have data where multiple locations are coming for one user.
It's correct that most people now use VPN to hide their own IP address to avoid location tracking. Even Apple has started giving this native functionality to people who use "Private Relay" to avoid IP-based tracking. Several antivirus software like Norton launched services for anti-tracking, which avoids sending tracking data. Moreover, Gmail doesn't use the recipient's IP address to open the pixel image, which is used for tracking purposes (as it always caches the images before displaying). So, in this case, the location is always pulled for the IP address responsible for opening the email or clicking on the link. However, when a link is clicked, the email has to go through Mumara, and in this case, the Gmail cache case gets solved. To better elaborate, we have added the flag for the bot activities in Mumara statistics, which helped the clients differentiate a real engagement versus a bot engagement. Still, it can't be 100% accurate as the IP database is always updating worldwide.
This is something I've wondered for a long time. If a recipient simply marks messages as read, without actually opening them, how does that affect tracking? Does marking it read send the same stats back to the tracker as if the message was actually opened?
No open activity will be counted in this case, as no tracking pixel gets fired.
In Mumara One, how accurate are user stats? Because, for retargeting, it's crucial that the stats are correct, as our campaigns are designed based on them, such as IP location, browser, city, country, etc.
The locations are nearly 100% accurate as per the MaxMind database. But again, you need to make sure that we convert the locations from IP addresses as I explained above.
