By Lewis Stowe
Getting better results from outbound sales is what we have been about since we started as a company. We are always looking for new ways to optimize our campaigns and help our customers achieve awesome results, so it should come as no surprise that we have been looking for better information about when is the best time to send email campaigns.
Of course, it isn’t just us. Salespeople and marketers have been trying to nail the best time to send emails with limited success (Tuesdays are the best!). While well intentioned, these efforts haven’t been able to get specific enough to have a great effect. It is simply because no one has ever tried to connect reliable data on email delivery with demographic data about the recipients of the email. After all, different groups have different habits. Would you expect a startup founder to be receptive to emails at the same time as the CEO of a Fortune 500 company?
We have been able to leverage our data to find the best time to send email campaigns
In this post:
Why a message can be twice as likely to convert purely depending on when you send it
5 reasons why optimizing your email’s send time will help your emails convert
What you should do to find the best time to send email campaigns
Growbots is in a unique position. On the one hand, we provide our customers with a dataset of highly targeted leads. This data includes information like the job title of your prospect along with the size, age, location, and vertical of the company targeted. The other half of our product is a cold email automation tool which our customers use to automatically send out their cold email campaigns at times they specify.
Using AI, we are then able to identify which of the responses they get are successful. There have been over 1,000,000 cold email campaigns sent using our platform which makes for a ton of data covering the best times to contact different segments. Of course, all of this data is difficult to make actionable on its own.
For that reason, our data science team built a machine learning model to determine the best time to send emails to a particular segment. Using this tool, it is really easy to input the segment you want to target and see what time you are most likely to get a response. Why does this make a difference?
Let’s look at the example of a CEO of a small technology company in San Francisco. If you send your campaign to this segment on Tuesday at 7:15 AM, you will only get a 3.7 percent conversion rate on average. That makes sense as your prospect will probably be cleaning out all of their emails from the night before and yours will get lost in the shuffle. But if you just wait a few hours until 11:45 AM on Tuesday, you’ll get a 6.8% conversion rate on average.
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Source:: Business 2 Community