Here are a few more ways you can segment your traffic and target specific customers
Posted: Tue Jan 28, 2025 8:58 am
1. Profiling and targeting
Profiling and targeting are the foundation of your e-commerce personalization strategy. This is when you essentially track and collect data about your customers as they browse your site, gathering insights into their preferences and buying habits. You can then use such insights to a) create customer profiles and b) target them with personalized offers.
This is where machine learning comes in.
Machine learning processes data and information about venezuela mobile database on-site users (specifically targeting behavioral points) for you. It then analyzes this data and allows you to create individualized landing pages that a) segment your audience and b) target specific customers with offers that are relevant to them.
This way, you build a customer profile and target them with offers designed to increase their customer experience - and your conversions.
For example, if winter is approaching, a clothing retailer might want to create a landing page for relevant seasonal products. Machine learning, however, will tailor what each individual sees based on their personal preferences, as well as other things like high-performing items and those that are in stock or on sale.
i Targeting returning customers
People who have already visited (both buyers and non-buyers) will already have a browsing history that you can leverage to create a section called "recently viewed items."
Profiling and targeting are the foundation of your e-commerce personalization strategy. This is when you essentially track and collect data about your customers as they browse your site, gathering insights into their preferences and buying habits. You can then use such insights to a) create customer profiles and b) target them with personalized offers.
This is where machine learning comes in.
Machine learning processes data and information about venezuela mobile database on-site users (specifically targeting behavioral points) for you. It then analyzes this data and allows you to create individualized landing pages that a) segment your audience and b) target specific customers with offers that are relevant to them.
This way, you build a customer profile and target them with offers designed to increase their customer experience - and your conversions.
For example, if winter is approaching, a clothing retailer might want to create a landing page for relevant seasonal products. Machine learning, however, will tailor what each individual sees based on their personal preferences, as well as other things like high-performing items and those that are in stock or on sale.
i Targeting returning customers
People who have already visited (both buyers and non-buyers) will already have a browsing history that you can leverage to create a section called "recently viewed items."