AI-driven Customer Segmentation

For many years, companies across industries have been studying target markets groups in order to reach out to clients with highly tailored messages. However, in the era of AI, it’s time to rethink segmentation techniques and provide dynamically actionable segmentations.

One of the most efficient methods to improve marketing efforts and obtain a greater return on investment is to target the appropriate consumers with the right message at the right time (ROI). When a client receives tailored material, there’s a better chance that not only will he/she buy the goods, but that he’ll also build loyalty toward the company.

Advanced analytics and clustering techniques were already being used by digital marketers to personalize targeting which they were already using machine learning algorithms for more potential targetting and interaction. Before we get into this technique, let’s take a step back. Back then, if you do manual segmentation, you can simply work with web analytics tools such as Google Analytics. In order to keep the analysis focused on the right place, you’re probably used to manually identifying traffic and user groups of interest. But this approach has limitations when it comes to scales a high number of user attributes.

“Thankfully, when the human brain’s capabilities are exhausted, sophisticated analytics and machine learning come to the rescue!”

Our Offerings

RDA’s Data Science Team offer robust solutions to you with advanced analytics powered by machine learning for your AI-driven customer segmentation:

• We ensure the agility and scale to provide targeted recommendations quickly.
• We offer end-to-end machine learning techniques instantly to you that is industry prove.
• We will ensure your data is quickly connected and accessible from multiple source of data without ad-hoc procedures