Blog

Explore how to define Customer Lifetime Value (CLV) and its calculation methods. Analyze customer data to segment and identify high-value

TL;DR Machines analyze historical sales data to predict future performance. Algorithms enhance forecast accuracy through machine learning. Predictive analytics help

TL;DR Effective customer understanding requires analyzing data and behavior patterns. Engaging customers involves personalized communication and feedback mechanisms. Continuous improvement

Highlights segmentation for improved audience targeting. Explores methods like demographic, psychographic, and behavioral segmentation. Emphasizes continuous data analysis for campaign

TL;DR Rule-based segmentation categorizes customers using predefined criteria like demographics and behavior. It helps tailor marketing strategies and improve targeting.

Highlights targeted marketing strategies tailored to specific customer groups. Explore how understanding segments improves product offerings and customer experiences. Discover

TL;DR Analyze user behavior to identify drop-off points in the checkout process. 2. Implement targeted strategies like exit-intent pop-ups and

Due to the advances in technology, the ubiquity of information, digital marketplaces and e-commerce aggregators, increasingly markets have become customer

Many organizations invest a significant amount of money in attracting customers, expecting them to spend with the organization for years.

I am happy to start writing these blogs. Enough ink (rather keystrokes) has been spent writing about Hadoop, NoSQL and various