The future of email marketing: artificial intelligence and how it can increase your revenue.


Email marketing has been around for over 40 years, but in recent years it has evolved dramatically. With the rise of technology, artificial intelligence and Big Data, email marketing has become more personalized and data-driven than ever before. In this article, we'll take a look at the future of email marketing and how you can use AI and personalization to improve your campaigns overall.

First of all, let's start with the basics. What is AI and how can it help email marketing campaigns? Artificial intelligence refers to the development of computer systems that can perform tasks that usually require human intelligence. This includes tasks such as speech recognition, image recognition and decision making. In terms of email marketing, AI can help you automate and optimize your campaigns by using algorithms to analyze your data and make predictions about your audience.

For example, AI can help you determine the best time to send an email, predict which subject lines will be opened the most, and determine the ideal content for each recipient. This allows you to target your audience more effectively and get better results from your campaigns.


The open rate of non-personalised campaigns


The open rate of personalised campaigns

Another way of using AI in email marketing campaigns is through personalisation. Personalization is the process of tailoring your content to the individual recipient and has become increasingly popular in recent years. According to Epsilon research, personalized email campaigns have a higher open rate (29%) compared to non-personalized campaigns (21%).

There are several ways to personalize your emails, such as using the recipient's name in the subject line, including location or purchase history in the body of the email, and offer of personalised product proposals based on its browsing and shopping history. AI can help you automate this process by using data to predict which personalization strategies will be most effective for each individual recipient.

An example of this is the use of predictive intelligence to predicting the likelihood of a customer making a purchase based on his behavior. AI can analyse their shopping history, the pages they've visited on your website and other data to determine which products they're most likely to buy. You can then use this information to create targeted, personalized email campaigns that encourage them to make a purchase.

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Another example of AI-based personalisation is sentiment analysis. Sentiment analysis is the process of determining the emotional tone of a text and can be used to personalize your email campaigns based on how your audience feels about your brand. For example, if someone has left a negative comment on social media, you can use sentiment analysis to determine their feelings about your brand and tailor your message content to address their concerns.

AI can help you automate the personalisation process by using data to predict which strategies will be most effective for each individual recipient.

Finally, AI can also help you automate your email marketing campaigns predicting which channels will be most effective to reach each individual recipient. For example, some people may prefer to receive email, while others may prefer to receive push notifications. AI can analyze each recipient's preferences and behavior to determine which channel will be most effective for reaching them, allowing you to reach your audience in the most efficient way possible.

In conclusion, the future of email marketing and marketing in general is about using artificial intelligence and personalisation to reach your audience in the most effective way possible. By using AI to analyze your data, predict the best time to send emails and personalize your content, you can improve your email campaigns and get better results.

If predictive analytics is not understood, don't worry? Ask us for one free email marketing consultation to show you how we use AI in our email marketing strategy.

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