Hey, it's Csaba, and welcome back! In this lesson, we're going to discuss what kind of data you need for website personalization. Let's get right into it!
When you think of website personalization, you probably think immediately of Amazon. Every time you go on there, you see your personalized homepage that's been compiled by the latest and greatest AI, based on data like what you've browsed or purchased previously.
So, wouldn't it be great to have a homepage that looks just like Amazon's?
The first thing you'll need is the right customer data for personalization. As you can probably guess, Amazon has a huge advantage in this aspect compared to your business. The good news is that every online business has access to plenty of data that can be used for website personalization.
In fact, access to data is the most important advantage that an online store has over a brick-and-mortar store.
Online shoppers leave a trail of useful information as they shop, and marketers are only just recognizing how valuable this data is.
While Amazon has access to user data from millions of shoppers and billions of orders, every online store has access to demographic, location-based, behavioral, and lots of other types of data.
Some examples of different data types any ecommerce retailer can use are location, campaign parameters, browsing history, purchase history, or satisfaction.
As you can see, you can tailor your messages to even first-time and completely anonymous visitors (before they make even a single click on your website).
For example, if you can see that a shopper is from Germany based on their IP address, you can show a message informing them that you ship to Germany.
In the next lesson, we're going to talk about the technical challenges of website personalization, and the potential solutions to overcome them. I'll see you there!
