The success of the electronic commerce store depends a lot on how you predict your line of customers and how you manage them at your store. The idea here is to make them come back for more that will not only make them to purchase more from you, but to also add them to your loyal line of clients. In order to create customer segments, you need to add up all the data from different sources and then combine them to look for all the available options that you have. There are three main ways you can acquire this data:
- Ask Your Subscribers Directly
The best way to move ahead in the same is to ask up your subscribers directly via a newsletter. Start up asking them to fill out details that let them provide you with data like address, telephone number, the product listing they would like to have in their newsletter and how frequent they want to have it. This will allow your e-commerce services to be more open and communicative with your clients and will ultimately benefit your sales.
- Data from Purchase Information
Whenever a customer buys a product from your portal, he leaves a lot of information that can later be used to get more sales. Look at the type of products that he has browsed through in the purchase session and for example, the customer has always browsed through the line of clothing, then you can add him up to the newsletter section where you send details about all the offers and deals related to the clothing. You might also come across customers who have actively purchased items from most of the segments in your store and generally their purchases outweighs another, this means that you can send them relevant information on the random segments on the store on regular basis. Send whichever mailing list is more popular and this will increase your chances of closing a sale.
- Data from Web Browsing
Last but not the least; infer the data from the web browsing session of the customer that will give you an idea on their interests. If you have a web tracking tool then you can use all the related information and can add the customers up to one segment or another. Add up all those subscribers who have viewed the products from different segments and segregate them according to the segments they have visited on the website. Here, this data can be very much of a use as you can determine their area of interest and probably their next line of purchase and this you can suggest them with options that they will highly be interested in to purchase.
