Data segmentation is different from targeting because it involves dividing your customer base into smaller groups based on shared characteristics. Targeting focuses on a specific set of people and sends them ads to reach the desired goal, such as acquiring new customers or making more sales funnels.
Targeting often relies heavily on data collected through cookies, which are small pieces of data sent to a browser on your computer or mobile device. The problem is that cookies don’t always accurately represent who you’re marketing to, leading to people receiving ads they have no interest in and will never actually buy.
Data segmentation relies on shared characteristics such as demographics, interests, behaviors, and location. Data segmentation is a more accurate way of analyzing your customers because it considers the people interested in what you’re selling.
One of the most significant benefits is that data segmentation sends more targeted messages and offers. It’s also easier to track which groups are most responsive, so you can continue sending them relevant content without having to guess what they’re interested in.
Data segmentation provides a better understanding of customers by looking at who has shown interest in what you’re doing.
In conclusion, data segmentation is a more accurate and effective way of marketing to customers and improves CRM. It helps you find out what your audience wants by dividing them into smaller groups based on shared characteristics such as demographics, interests, or behaviors.