1. Optimizing Subject Lines
The subject lines you choose for your emails are one of the most important parts of your overall strategy.
A good email subject line will stand out in the receiver’s inbox, encouraging them to click through and read the email. On the other hand, a bad subject line will be skimmed over and ignored, or even worse – interpreted as spam and stuck in the junk folder.
Traditionally it takes a good copywriter plus a lot of experimentation and analysis to get email subject lines right for your particular audience, but AI is now making this a simple task
AI uses algorithms to generate subject lines that will attract a higher click-through rate. It analyzes the results of each individual marketing campaign to optimize and improve your subject lines over time.
Here are three things you should keep in mind:
Detect the right information
Artificial intelligence helps you detect the right set of data for paying attention and ignoring the irrelevant one.
Deliberate attempts
While answering a question or making a recommendation, you can analyze the most predictive attributes against other collected data.
Develop extracted data
Based on AI experimentation and extracted information, you can modify and analyze data for programming and reprogramming.
Incorporating AI in email marketing can bring better personalization, drive higher conversion rates, and boost customer gratification.
Now, consider how marketers can integrate and leverage AI to channelize email marketing campaigns.
2. Fine-Tuning Personalization
Personalization can mean the difference between a hugely successful email marketing strategy and one that’s simply a waste of time. Emails with a personalized subject line are 26% more likely to be opened and deliver 6x higher transaction rates, according to a study by Campaign Monitor.
In fact, personalization has become so pervasive in email marketing that consumers now expect it. Generic, non-personalized emails addressed to “dear business owner” or anything except the user’s actual name may come across as spammy and are likely to be ignored.
While a basic level of personalization has been common in email marketing for quite some time, AI really expands the possibilities.
Predictive analytics uses complex algorithms, customer data, and machine learning to predict future behavior based on previous interactions and data trends.
For example, marketers can use AI to suggest recommended products that a particular customer is likely to be interested in and insert these products into email communications on an individual basis.
3. Automating Content
Just as email subject lines can be automated and optimized, the entire content of the email can also be automated.
AI-powered software can use pre-written copy, images, promotions, blog post snippets, curated content, links, and even machine-generated content to produce emails that are optimized for a high engagement rate.
AI algorithms can not only determine the optimal combination of different types of content, but this automation also significantly cuts down on the time and resources needed to keep your email campaigns running.
4. Determining Optimal Timings
Figuring out how often to email your customers and the best times to do so is part art and part science. Traditionally marketers rely on experimentation, data analysis, and their own common sense and intuition to figure out these timings.
