How Machine Learning can be Used in Email Marketing
Digital marketing and marketing machine learning is undoubtedly the best form of marketing that can be adopted by any brand to market its products or services. The significant increase in the number of internet users has further strengthened the scope of digital marketing. Meanwhile, of all forms of digital marketing, email marketing remains one of the most prominent. It is cost-effective. Also, it adopts a direct approach in its strategy.
According to reports, no fewer than 80% of marketers adopt the use of email marketing and have testified to its effectiveness in driving sales. Before you think you have found a painless marketing strategy, you must know that the success of an email marketing campaign depends on the approach of its content. The thrill is creating content that will resonate with people’s cognition which will prompt them to respond.
This explains why marketers do all they can to personalize their mail. With personalized mail, each content will appeal to different receivers separately. While email marketing remains one of the most cost-effective marketing strategies, it is however quite tasking. However, the advent of machine learning has made things very easy for email marketers. Many tasks that digital marketers expend much energy and time on before and still get little result can be achieved faster with better results, thanks to Machine learning.
Let’s highlight some ways Machine learning has revamped email marketing.
Personalized Email
The best email marketing content is one that appeals to people differently. To achieve this, marketers need to analyze customer’s behavior to ascertain their area of interest. This assists marketers to send out emails that will appeal to different customers uniquely.
Reasonably, Machine learning help in building personalized email. It studies and analyses the behavioral pattern of each customer, ascertains their level of interest, and builds content that will appeal to them specially.
Proper Segmentation
Machine learning is not doing anything new to email marketing. However, it is uniquely doing the same old things and faster. Before now, marketers expend more time analyzing the behavioral pattern of the customers. After that, they ascertain the area of interest of the customers as this will help in market segmentation.
With the advent of machine learning, this process can be done seamlessly without stress and still get better results. It helps to partition the subscribers based on behavior, demographics, geography, and psychographics. This segmentation of customers helps facilitate engagement.
Device Better Time To Send Out Mails
The purpose of sending out emails is to build engagements that could lead to conversion. Unfortunately, what happens when you send emails to your customers at the wrong time when they are busy with other things. Also, to think that there are hundreds of emails dropping in each day in their inbox. It might be difficult for them to attend to yours except it is sent at the right time.
Machine learning helps to optimize time in a bid to ascertain the best time to send out mail to your customers. It makes use of the customer’s segmentation to calculate the best time to send mail to each customer.
Final Thoughts
There are diverse ways machine learning can be used to improve email marketing. However, we have explained the three most prominent ways in which marketers can use Machine learning.
The essence of using machine learning is to make the job of digital marketers easier and faster. The machine helps to create unique contents that will appeal to customers differently. This can be achieved by studying the behavioral pattern of each customer and stratifying them based on demography, psychographics, behavior, and geography.
It is important to know that machine learning can be quite tasking to use at first. But with consistent efforts, the best is only a few meters away. Judging from the testimonies of diverse digital marketers on how machine learning has helped generate more leads, it is pertinent to use machine learning to create more engagement, generate more leads, and build massive conversion for your business.