③ MA tools
MA tools are tools that automatically execute measures and actions to convert potential customers into actual customers. They also have the ability to automatically send information and visualize potential customer behavior with data. The email distribution function is one of the representative functions of MA tools, and allows you to grasp open and click rates in real time, and automatically notifies sales and marketing personnel about potential customers who meet the set conditions. Large-scale email distribution and timely simultaneous distribution are also possible.
MA tools not only measure the effectiveness graphic design email list of email marketing, but also strengthen relationships with potential customers and increase the chances of deals and closings.
When trying to analyze an entire email newsletter, there are many points to check. Here, we will introduce some concrete examples of measuring the effectiveness of email newsletters and making improvements that you can put into practice right away. Although the improvement methods vary depending on the situation, the basic flow is roughly the same.
1. Improve open rate
If your open rate is low, there are three ways to improve it: consider the delivery time, measure the effectiveness of your email newsletter subject lines, and include a personal name in the sender name.
Be mindful of delivery times
You can improve the open rate of your email newsletter by being creative with the delivery time. For example, for B2B email newsletters, the open rate tends to be higher when they are sent around 11:00 or 15:00 on weekdays. Decide the delivery time by considering what time of day your target audience finds it easiest to read your newsletter. If you are unsure of which time of day is appropriate, we recommend trying different times of day and choosing the time that produces the best response.
Using email newsletter subject lines to measure effectiveness
For example, let's consider the fact that the subject of an email newsletter can make a big difference in the open rate. When a user receives an email newsletter, they first look at the "sender name" and "email subject" that appear in their email inbox to decide whether to open it or not. Email newsletters that are deemed unimportant are very unlikely to be opened.
Therefore, even if the content of the email newsletter is the same, it is a good idea to create several different subject lines and compare the open rates of those. If you see a large difference in the open rate depending on the subject line, you need to make improvements to reduce the difference.
Specific examples of effect measurement and improvement
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