Utilizing AI in Email Marketing to Craft Customer Interaction Scenarios

With 35% of businesses using AI technology, the remaining 65 % must be wondering if they should integrate AI to improve their digital email marketing. Moreover, AI technology is predicted to facilitate 15% of customer service interactions worldwide. 

Why is email marketing important, and why should you use AI? The answer is straightforward. Implementing AI into your mail marketing will simplify numerous tasks and improve your email marketing strategy. If you’re looking for guidance on how to use AI in marketing and run better CMP mail campaigns, this article is just for you.

In this article:

What Is AI in Email Marketing?

What Is AI in Email Marketing and why is it important

AI in email marketing means blending AI tools into your email campaigns. It is becoming a more searched request on Google. This way, you allow AI-driven algorithms to perform your daily tasks. 

What tasks can you delegate to AI? You can easily achieve automation, creating personalized email content, gathering data, and boosting the overall performance of your email campaigns. Using AI for email marketing purposes will help you improve CPM, CPC and appeal to more users. 

What Is CPM In Digital Marketing?

CPM (cost per mille) shows how much an ad costs per 1,000 impressions. An impression here denotes how often this ad is shown to the users, whether they interact with it or not.

What Is CTR In Email Marketing?

CTR (click-through rate) is another most frequently used metric. It shows the percentage of recipients that click on an added link to an email

The effectiveness of using AI in email marketing has proven to be high in Europe and the USA in 2023. 50.7 % of respondents believe it’s more practical than traditional approaches.

effectiveness of using AI in email marketing statistics

AI Email Marketing: Pros & Cons

Weighing the pros and cons of AI in email marketing, there will be more votes in favor of AI. If you use AI in marketing wisely, you’ll likely avoid the pitfalls. Let’s take a closer look at the points below.

Advantages of Using AI in Email Marketing

Time Saver

This advantage is definitely number one on the list. AI can process huge chunks of information in no time. In addition, you don’t need to hire extra people to do the work – AI can do this instead.

Predictive Analytics

AI is trained to foresee your customers’ behavior. By getting access to your database, it can identify those users who will most likely purchase from you. In addition, it can help define how often user groups want to receive newsletters from you or what content is of higher interest to them now. It will give you the necessary information to target your audience effectively.

Behavioral Segmentation

What is segmentation in email marketing? In short, it means dividing your email subscribers into groups based on certain parameters. AI will come to the rescue when tailoring emails for specific customer groups. Use it to re-engage with inactive users, win new customers, and help potential customers make a purchase (for instance, if they had a problem purchasing or still have them in their shopping cart). 


Think of AI as a personal assistant who’ll do all the tedious work for you. Artificial intelligence tools will make you addicted to having all the processes simplified. If you already use email marketing automation software, implementing AI for customer service scenarios must be your next step. 

Here are just a few examples of email marketing automation done with the help of AI:


Artificial intelligence tools help out when creating personalized copy or subject lines for your email campaigns to increase the chances of user engagement and conversions. You can use the combo of cold email templates and AI-powered personalization as AI can create clickable subject lines, welcome emails, abandoned shopping cart messages, etc. Here’s an example of how Linktree implements AI in marketing:

Linktree using AI for Email Marketing Example

Disadvantages of AI in Marketing


AI-powered email marketing tools come at various prices and might cost you more than expected, especially if you’re on a limited budget. However, if you research, you might find some reasonable offers. Besides, you might discover AI services with a trial period.

Integration Process

Implementing AI algorithms into your email marketing may require extra time and technical skills, or you need a person on your team who’ll do this work. Poor integration might result in underperforming email campaigns and errors.  


AI tools must collect user data to process it for email campaigns. This may cause data privacy and compliance concerns.

Inaccuracies in Prediction

You can’t solely rely on AI-based analysis and predictions. It won’t give you 100% accuracy.

Lack of Creativity

Although AI can produce endless content, it can be too generative and lack creativity. It is quite a challenge for AI to go beyond a learned pattern and create something truly original. That’s why you shouldn’t rely on AI-driven tools in terms of content creation

How To Use AI In Marketing To Boost Earnings 

Using AI in email marketing can cover multiple aspects. Here are 8 practical tips on how to use AI in marketing.

1. Personalize Outreach Emails

The more personalized, the more interaction with customers you get, which is your email marketing goal. You can teach AI, set the tone of voice, and get high-quality content to match your brand identity. Let AI write enticing subject lines, address your subscribers, and suggest recommendations for your recipients.

Here’s a great customer interaction example of how to write a creative subject line.

customer interaction example of how to write a creative subject line

2. Write Customized Product Recommendations

Another perk of using AI in email marketing is writing tailored product recommendations based on customers’ preferences and interests. Consumers love receiving information and offers tailored to their interests and needs. Therefore, offering customized recommendations will help you stand out and establish a long-term connection with prospects and customers.

3. Divide Your Customers into Segmentation Groups

Using the segmentation approach will help increase customer interaction rates. And by using AI for this purpose, you will get a segmented email list based on customer purchase behavior, interests, or demographics. In addition to this, AI will tailor emails for each segment.

4. Collect and Analyze Data 

AI tools can collect and analyze data from your previous email campaigns, past interactions with your customers, how users navigate your website, and purchase history. Your team doesn’t have to spend time on this task anymore. Just check the received reports for relevance.

4. Get Optimization Recommendations 

What’s great is that some AI tools can analyze your competitors and prepare a report based on their success stories on what can be improved in your marketing campaign. This may be a powerful tool to improve interaction with your customers and get valuable insights from your competitors’ experience. 

5. Schedule Emails

Some AI-driven tools offer scheduling emails as their built-in feature. Using this tool, you can save time and let AI send emails at the best time. 

6. Declutter Your Email Lists

A clean and well-organized database is a must if you don’t want to get marked as spam by uninterested users. As you know, email list hygiene is vital for your deliverability. Using AI tools to clean your lists of unengaged subscribers will reduce the chances of your emails being sent to the bin, spam, or marked as irrelevant. 

7. Create Visuals

Customer interaction happens not only through a catchy copy, but appealing visuals can make your offer even more enticing to click on. You can learn to use Midjourney or look for other AI-driven tools that create visuals. This will help you out if you don’t have a designer on your team or want to simplify the visual creation for your employees.

Parting Thoughts

Having AI as your email marketing assistant can spice up customer service scenarios, create juicy content and visuals, or make your emails sound more personalized. Use any of the 8 provided recommendations on how to use AI in marketing and customer interaction examples to boost email marketing with less time and effort.


How does AI enhance email marketing for crafting customer interaction scenarios?

AI enhances email marketing by analyzing customer data and behaviors to personalize content, predict customer preferences, and automate the creation of dynamic customer interaction scenarios tailored to individual recipients.

What role does AI play in segmenting email lists for targeted customer interaction scenarios?

AI plays a crucial role in segmenting email lists by analyzing customer demographics, purchase history, and engagement patterns to identify relevant segments, allowing marketers to deliver personalized content and offers that resonate with each audience group.

How does AI-driven personalization improve customer engagement in email marketing?

AI-driven personalization improves customer engagement by dynamically customizing email content, subject lines, and CTAs based on individual preferences and behaviors, increasing open rates, click-through rates, and overall campaign effectiveness.

Can AI help predict optimal send times for email campaigns to maximize customer interaction?

Yes, AI can analyze historical email engagement data and external factors such as time zone differences and industry benchmarks to predict optimal send times for email campaigns, ensuring that messages reach recipients when they are most likely to engage.

How does AI-powered content generation assist in crafting compelling email marketing campaigns?

AI-powered content generation assists in crafting compelling email marketing campaigns by automatically generating personalized product recommendations, promotional offers, and relevant content based on customer data and preferences, increasing the relevance and effectiveness of email content.

What role does AI-driven A/B testing play in optimizing customer interaction scenarios in email marketing?

AI-driven A/B testing allows marketers to experiment with different email elements, such as subject lines, visuals, and CTAs, and automatically analyze the performance of each variant to identify the most effective customer interaction scenarios and improve campaign ROI.

How can AI-powered predictive analytics anticipate customer needs and behaviors in email marketing?

AI-powered predictive analytics analyze historical customer data and external factors to anticipate future behaviors and preferences, enabling marketers to proactively tailor email content and offers to meet individual needs and drive desired customer actions.

Does AI assist in real-time email campaign optimization to adapt to changing customer interactions?

Yes, AI can monitor email campaign performance in real-time, adjusting content, send times, and targeting parameters based on recipient interactions and feedback to maximize engagement and conversion opportunities throughout the campaign lifecycle.

How does AI-driven email personalization foster long-term customer relationships and loyalty?

AI-driven email personalization fosters long-term customer relationships and loyalty by delivering relevant and timely content that reflects each customer’s preferences and interests, enhancing the overall brand experience and encouraging repeat purchases and advocacy.

What are some future trends in AI for email marketing to further enhance customer interaction scenarios?

Future trends in AI for email marketing include advances in natural language processing (NLP) for more sophisticated email content generation, the integration of AI with emerging channels such as voice assistants and chatbots, and the use of AI-driven predictive modeling to anticipate customer behavior across omnichannel touchpoints for seamless customer interactions.

Author Bio: 

Victoria BerezhetskaVictoria Berezhetska is a Content Lead at Phonexa. Victoria has a degree in Bachelor of Science in Business Administration with extensive working experience as a PR specialist and content writer, touching on many different areas of digital marketing. In her work at Phonexa, she covers a wide range of topics, including call tracking, lead generation, marketing automation, and so much more.

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