Are your eCommerce email campaigns still not convincing your email subscribers to buy? If the answer is yes, you are not alone. Consumers are bombarded with e-commerce emails and it’s hard to stand out in a crowded inbox, especially when your emails are unremarkable. But don’t worry, you have the power to create more dynamic emails that will resonate with your subscribers. Your subscribers might even think you’re reading their minds because your emails are so good. What is this secret power? It is predictive analytics. In fact, you can create more effective email campaigns and start selling smarter by using the data your email subscribers and website visitors are already giving you.
Get ready to see your sales skyrocket. Before we dive into how to use predictive analytics in your eCommerce email campaigns, let’s find out what predictive analytics is. What is predictive analytics? First, what is predictive analytics? Predictive analytics is simply using data to identify customer behaviors and predict future behavior. By studying this data you can get from your email marketing service and website using tools like Kazakhstan B2B List Analytics, you can create smarter marketing campaigns that better resonate with your audience and improve ROI. investment). Predictive analytics can show you exactly what your customers want so you can send them emails that will get you the results you’re looking for. How to use predictive analytics in your eCommerce email campaigns.
Discover Their Interests
Encourage the first purchase Once someone has signed up for your email list, your goal is to get them to make their first purchase. But you don’t want to be too pushy at the start of the new relationship, so instead of asking a subscriber to buy up front, send them a welcome email first and use predictive analytics to figure out exactly what they want. After all, how are you going to get a consumer to make a purchase without first knowing their interests? For example, take a look at this welcome email from REI Co-op . They have a section called “Help Us Get It Right” where email subscribers can choose content that interests them.
This is great because subscribers are being segmented for you and you will discover their areas of interest. You can also use predictive analytics to track what subscribers are interested in and what section of the email they click on, whether it’s Camp + Hike, Cycle or Paddle, so you know exactly what they’re looking for. REI Cooperative You can then use the data inferred from predictive analytics in the welcome email to send them a targeted email later. For example, if a user clicks on the Camp + Hike section and searches without buying, you can send them an email with the latest tents for sale.
Your Email Subscribers
Are more likely to make a purchase when you present them with exactly what they’re looking for. So use predictive analytics to find out what it is. Up-selling and cross-selling Once you’ve converted an email subscriber into a customer. You can use predictive analytics to upsell and cross-sell those customers more effectively to increase your sales. By monitoring the purchases your customers make. You can use that data to recommend items that they are more likely to buy. Amazon gets it right by displaying recommended products or their “Customers who bought this item also bought…” section right on their website. You can use this same tactic in your email marketing campaigns.