It’s the age-old debate hong kong whatsapp number data
of every email marketing conversation: “when is the best time to send an email newsletter?” The answer is — there isn’t one best time. Yes, you read that right. If you want to increase email engagement rates, it’s not as simple as picking a certain day or time.
Similar to Farmers Insurance, “we know a thing or two because we’ve seen a thing or two” when it comes to email marketing. Every year, we study over 100 billion emails to curate an annual report about email marketing trends and engagement. And do you know what we’ve found? The best time to send an email newsletter varies by industry, audience, and engagement goals. There is no one-size-fits-all time to send an email newsletter.
Test your emails
The foundation to since the chances of error are lower
perfecting email engagement is testing what works and doesn’t work for your audience in every aspect. This includes testing the time of day you send, subject lines, copy, graphics, and other key elements of the email.
Note that this may be different for each audience segment, product, and type of email (i.e., feature announcement vs. welcome email) you send. It may sound overwhelming to test so many things with multiple segments, but thankfully there’s a systematic way to approach email tests that will simplify uncovering trends: A/B testing.
To segment your subscriber list, divide your email list into smaller lists according to key characteristics, such as demographic, business type, purchase behavior, or location. Segments will allow you to see what has the most impact on each brand audience as well as provide more targeted email marketing in the future.
Form a hypothesis
Once you have segmented lists, phone number list
it’s time to form a hypothesis, or “educated guess,” just like you would in a scientific test. To develop your hypothesis, first pick a segment of your list to focus on, then pick a single element to test that’s key for that group.
For example, you may make an educated guess about what the outcome would be of changing the time you send welcome emails. Similar to setting a goal, your hypothesis should be S.M.A.R.T. (Specific, Measurable, Achievable, Relevant, and Timebound). In this case, your hypothesis could be “sending welcome emails within 10 minutes of a user joining will increase email open rates by 6% over the next three months with the new user segment.”