When to use this data we could argue that the best time to send an email doesn’t even exist. Or perhaps it does, but it’s not something that’s shared among a larger group of subscribers. It’s largely an individual thing. While this may be right, there are times when we’ve got no other option but to schedule our email campaigns by hand. Here are some scenarios when that’s often the case: you want everyone in your audience to receive your message at the same time.
For example, when running a -hour flash sale overseas chinese number data campaign. Your email list is new, and you don’t have enough data to feed the algorithm. You prefer to send your campaigns at a specific time and want your audience to form a habit of opening their inbox at a particular hour. You have to time your campaigns according to external events, e.G. Stock market trading hours. So, if you have to select the best time to send your emails by yourself, this data will prove useful.
And is it even worth the hassle? Just consider the numbers: even if you can increase your email click-through rates by percentage points (from to ), it could translate into a growth in sales revenue from that one campaign. For most businesses, that means a massive difference. Just keep in mind that every audience is different. So, compare these results with what you’ve been experiencing or what your gut feeling keeps telling you. Use it as a starting point for more complex tests that you’ll do on your target audience.