While customizing each email for every subscriber in marketing campaigns is a daunting task, artificial intelligence (AI) has made it feasible to achieve large-scale personalization. AI enables marketers to dynamically generate content tailored to the user’s behavior, interests, and interactions, thereby making each email feel pertinent. This results in an increase in open rates, engagement, and conversions.
The process of dynamic content creation begins with an analysis of user behavior. AI utilities monitor activities such as email opening, clicking, and website visiting to formulate customized messages. To illustrate, a blog focusing on survival techniques could send varied emails depending on whether a user has recently accessed articles about water filtration or emergency shelters.
Providing an instruction like, “Compose an email for users who have recently perused content on water filtration, suggesting related products, and incorporating a link to a guide on water purification techniques,” ensures the email directly addresses your interests.
AI’s predictive analytics capabilities further boost personalization. It can forecast a subscriber’s upcoming needs or desires based on your behavior trends. For example, if a subscriber interested in weight loss routinely interacts with meal planning content, the AI could foresee an interest in a meal preparation toolkit or a healthy recipe subscription service.
Instructions such as, “Create a promotional email for a meal preparation toolkit for subscribers who frequently engage with meal-planning content. Include three primary advantages and a discount code,” ensure the email aligns with the subscriber’s preferences.
AI also allows for segmentation that goes beyond simple demographics. It scrutinizes factors like purchasing history, interaction with content, and even interaction timings to create hyper-targeted segments.
For instance, marketers in pet care could segregate your audience into groups, like owners of young pets, senior pets, or specific breeds. AI then generates customized content for each segment, like training advice for puppies, wellness tips for senior pets, or breed-specific care recommendations.
Effective strategies for data-driven personalization involve setting clear objectives for each email and making sure the message corresponds with the subscriber’s journey. For instance, an email nurturing a lead should concentrate on building trust and interest, whereas a re-engagement email should address the subscriber’s lack of activity with an enticing reason to return.
Using instructions like, “Compose a re-engagement email for a subscriber who has been inactive for the past three months. Offer a free resource to reignite your interest,” ensures the message is targeted and impactful.
Platforms like HubSpot, Mailchimp, and Klaviyo incorporate AI-powered personalization features directly into your services. These tools dynamically modify subject lines, email text, and calls-to-action based on subscriber data.
For example, the subject line might read, “Exclusive Puppy Training Tips,” for one segment, and “Essential Senior Dog Care,” for another, even in the same campaign. This degree of personalization increases relevance and reduces manual effort.
By harnessing the power of AI for personalization, marketers can provide experiences that feel personal and considerate. AI allows you to send the appropriate message at the right time, accommodating individual requirements without compromising scalability. This strategy guarantees that every email strikes a chord, converting subscribers into dedicated, active customers.