Latest Trends in AI-Powered Email Marketing
Email marketing is one of the most effective and widely used digital marketing channels, with an average return on investment (ROI) of $42 for every $1 spent1. However, email marketing is also becoming more competitive and challenging, as consumers expect more personalized, relevant, and timely messages from brands.
To meet these expectations and stand out from the crowd, email marketers need to leverage the power of artificial intelligence (AI). AI is a branch of computer science that enables machines to perform tasks that normally require human intelligence, such as learning, reasoning, and decision making. AI can help email marketers optimize every aspect of their campaigns, from content creation to delivery, and provide a better experience for their subscribers.
In this article, we will explore some of the latest trends in AI-powered email marketing and how they can benefit your business.
Content Generation
One of the most time-consuming and creative tasks in email marketing is content generation. You need to write catchy subject lines, engaging body copy, and compelling calls to action (CTAs) that resonate with your audience and drive them to take action.
AI can help you with this task by using natural language processing (NLP) and natural language generation (NLG) techniques. NLP is the ability of machines to understand and analyze human language, while NLG is the ability of machines to produce human-like language.
Using NLP and NLG, AI can analyze your past email performance, your audience’s preferences, and your industry’s best practices to generate content suggestions for your emails. For example, AI can suggest subject lines that are likely to increase your open rates, body copy that is tailored to your audience’s interests and needs, and CTAs that are aligned with your goals.
Some of the tools that offer AI-based content generation for email marketing are:
- Phrasee: Phrasee uses advanced NLG to create human-sounding subject lines, headlines, and CTAs for your emails. It also uses deep learning to optimize your content based on your brand voice, tone, and style2.
- Persado: Persado uses NLP and NLG to generate emotional language that appeals to your audience’s emotions and motivates them to act. It also uses data-driven insights to optimize your content based on your audience’s personality, behavior, and context3.
- Copy.ai: Copy.ai uses a powerful AI model called GPT-3 to generate creative and original content for your emails. You just need to provide a brief description of what you want to write about, and Copy.ai will generate multiple content variations for you to choose from.
Personalization
Another key factor in email marketing success is personalization. Personalization is the process of tailoring your email content and delivery to each individual subscriber based on their profile, behavior, preferences, and needs.
Personalization can help you increase your email relevance, engagement, loyalty, and conversions. According to a study by Campaign Monitor, emails with personalized subject lines are 26% more likely to be opened than those without.
AI can help you with personalization by using machine learning (ML) and predictive analytics techniques. ML is the ability of machines to learn from data and improve their performance over time, while predictive analytics is the ability of machines to use data to make predictions about future outcomes.
Using ML and predictive analytics, AI can segment your email list based on various criteria, such as demographics, location, purchase history, browsing behavior, email activity, etc. AI can also recommend the best products, offers, or content for each segment or individual based on their interests, needs, and purchase intent. Additionally, AI can optimize the timing and frequency of your email delivery based on each subscriber’s behavior patterns and preferences.
Some of the tools that offer AI-based personalization for email marketing are:
- Dynamic Yield: Dynamic Yield uses ML and predictive analytics to create personalized email campaigns based on each subscriber’s behavior, preferences, and context. It also uses real-time data to update your email content dynamically based on changes in inventory, pricing, availability, etc.
- Optimove: Optimove uses ML and predictive analytics to segment your email list based on each subscriber’s lifecycle stage, value potential,
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