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What time do your readers normally browse through their inboxes? When are they most likely to open and click? Do they read messages that are more than 12 hours old? GetResponse set out to answer these questions in our latest research on open-and-click times and came up with some interesting conclusions.

This involved analyzing 21 million messages sent from U.S. email accounts during the first quarter of 2012 to determine the top result for the following metrics:

Open time Click-through time Recipients’ top engagement time

The really important finding was that all email messages, no matter what time they were scheduled for, get most opens within the first hour from delivery (up to 23%).

This means that if a message is sent too early (or too late) to top engagement times, it will miss the chance of reaching its maximum results. It simply cannot wait in the inbox for too long. The research confirmed that the subscribers are most engaged with their inbox content during the working hours: Scanning emails is the first thing they do when they start work — 8-10 a.m. Then, their inbox activity goes down, with the lowest results around lunch, and goes up again shortly before leaving work — 3-4 p.m. An interesting thing is that the average click rate also increases around 8 p.m., which might mean that this is the time when recipients read through their messages with more attention.

As the research shows: to achieve best possible results, you should schedule delivery of your email taking into consideration the following:

Emails reach the best results within 1 hour after landing in the inbox. If your recipients are occupied with other activities, they won’t be able to engage while it’s still fresh, and your message will be crowded out by more recent messages To optimize the engagement rates for your message, you should schedule it to hit the inbox no later than 1 hour before the top open times, when its chances of getting noticed are the highest. If your emailing's go to worldwide lists, make sure you use solutions that optimize delivery times in different time zones

 

Source. http://bit.ly/Tr6aq8

Via maxOz