Email campaigns are an integral part of any company’s marketing stack.
Hubspot estimates that email marketing can earn $38 for every dollar spent, far ahead of other popular forms of marketing such as paid advertising and influencer marketing.
Email is personal. Anyone who decides to provide you with an address thinks they are interested in learning more about your product. If you provide them with something they are not interested in, you will lose their trust in you.
Artificial intelligence is increasingly used as a tool to improve the effectiveness of marketing activities. Email marketing is no exception.
Here is how you can use AI to increase the return on investment of your email marketing campaign.
#1 – Choose a suitable date to send the email
Email campaigns can overlap.The important thing is that you start your activity on a day that may produce a higher response rate than others.
Send your first email on the weekend or when no one draws your attention. Your follow-up emails will not be affected.
One of the biggest advantages of artificial intelligence is the ability to consume large amounts of data and identify trends in it. In particular, artificial intelligence can help you find the best day to start a marketing campaign.
The best day to send an email with a higher response probability beats the marketing platform-the Tuesday and Wednesday emails sent on the same day have a 7% higher chance of receiving a response on the weekend, especially on Sunday, where they have the lowest response rate. ….. The response rate dropped to 4%. Monday was in the middle, with a response rate of 5.9%, mainly because the inbox was overcrowded on weekends.The response rate on Friday was also surprisingly high, at 6.2%. On Thursday, the response rate was 5.2%, which is the lowest response rate on any day of the week. The point here is clear – send your email on Tuesdays and Wednesdays when the weekend backlog is cleared, and people have the space to read your campaign.
#2 – Follow up in time
One of the things that all email marketers care about is follow up. When do you have to take action to get a positive answer? If you follow up too fast, you have not given potential customers time to digest your letter. If you do this too late, you may be completely forgotten.
Artificial intelligence can help you narrow the middle ground between adapting to and forgetting the busy schedule of potential customers. Research data shows that 3-4 days is a good time to send the first follow-up email. Much depends on the type of potential customer. In some industries, it makes sense to wait longer, while some industries prefer faster follow-up. Ultimately, your AI will help you determine the ideal time to process the numbers in your data.
It shows that the probability of receiving a response after the first follow-up dropped sharply after 8 days, and the response rate fell below 2%. Observing the entire week, you can expect a response rate of 2.1%, and a response rate of 2.5% during the 5-day observation period. Remember, the date you choose to continue will also affect how you receive a response. These numbers are also reserved for the second follow-up email. Interestingly, the response rate is between 6 and 17 days. However, after this period, the number of responses increased to 1.7. This does not mean that you have to wait fifteen days to continue monitoring. Instead, please send a follow-up email within 2-4 days after you sent your last email.
#3 – Prepare the right number of follow-up emails.
Most marketing teams are afraid that sending too many emails will increase their unsubscribe rate. As a result, they slack after 1 or 2 follow ups. However, the data collected by Exceed shows that the correct number of repetitions is 10.
This may seem like a ridiculously large number, but it is true. Combining previous opinions about sending emails on the correct day of the week and at reasonable intervals, it is possible that someone who has ignored you 9 times will reply to you.
However, this Largely depends on the personal data you collect during this period. AI-driven analysis can also help you determine the correct tracking quantity.
#4 – Designing effective workflows
AI assistants have incredible potential, and we just scratched the surface.
What are they? Insights from your data can help you challenge your assumptions and develop new processes that provide a higher return on investment.