Artificial intelligence has propelled online commerce into a new era. Website administrators and marketers are finding highly creative ways to leverage AI to improve functionality and enhance the user experience.
Predictive analytics is one of the most important developments that has arisen from advances in artificial intelligence technology. Brands can find ways to use predictive analytics to anticipate the needs of their users. This will improve engagement, lead to greater customer satisfaction and ultimately drive greater conversions.
What is the real value of predictive analytics in online UX?
UX optimization is a crucial aspect of digital marketing. Brands need to keep customers satisfied and engaged before they can get them to make a purchase.
There are a variety of ways that predictive analytics can help them achieve this goal. One of the easiest ideas is to use predictive analytics to create content templates, such as HubSpot email templates. However, there are even more advanced predictive analytics strategies that can prove useful. Some of them are listed below.
Removing extraneous options
Customers often face an overwhelming number of options. This is especially true online, since companies often try to present them with every possible offer that might be relevant.
This can lead to a form of paralysis by analysis. The overwhelming number of options available might cause them to avoid making any purchase at all.
In July, ZDNet published an article detailing ways that predictive analytics technology can minimize this challenge. Brands can use predictive analytics to determine the products that individual customers will be most interested in purchasing. They can personalize these offers and remove those that don’t appeal to them.
Customers are more likely to make a purchase when they aren’t overwhelmed by excessive offers. This could be an incredibly useful way to bolster conversion rates.
Use lifestyle segmentation to personalize the user experience
Facebook caused online marketers to take a new look at customer segmentation. They were the first online advertising platform that enabled brands to tailor their advertisements to specific demographics. Although the concept of focusing on certain demographics is as old as the marketing profession itself, Facebook made it much easier.
However, in more recent years, it has become more obvious that demographic targeting might not be the most effective strategy. Companies have started to realize that appealing to people practicing certain lifestyles is more worthwhile. In the past, a bicycle company might target younger adults, based on the assumption that they were more active. Instead, it made more sense to target people following an active lifestyle, regardless of age.
This is a point that Neil Patel made in one of his articles. He said that predictive analytics helps improve ROI when you can use it to anticipate engagement from people following certain lifestyles.
Targeted content distribution
Content syndication is a very important aspect of any marketing strategy. Many people think of content marketing as a strategy to reach new customers that have never engaged with their brand before. However, content marketing can be just as important for boosting engagement with existing followers of your brand.
Predictive analytics can help tailor your content marketing strategy to customers that you are already engaging with. Here are some examples:
· You can segment emails according to each customer’s level of receptiveness. Certain data might indicate that they want to learn more about certain topics or have an interest in various offers. You can make sure that they receive emails appropriate to those interests.
· You can use data on recent trends to anticipate topics your customers will be interested in learning about in the future. This enables you to tailor your blog posts to upcoming events.
· You can use data from previous content to train predictive analytics algorithms to optimize future content. You might find that older list style blog posts or short articles with infographics outperformed a lot of your other content. You can use predictive analytics to optimize future content accordingly.
Predictive analytics is an important part of content marketing. Leading brands are finding more creative ways to incorporate it into their content marketing strategies.
