Customer analytics is the process of collecting, validating, interpreting and analyzing data to gain valuable insights into your customers’ preferences, behaviors and needs.

Can marketers collect data and perform customer analytics while respecting customers' wishes and following data privacy laws? Are we on a collision course, or is there another way?

In this article, I have taken Gartner’s four-phase data maturity model (pg. 9) and customized it to help assess the maturity of your data-driven customer retention program.

Key Points Predictive analytics allows for proactive decision-making, as opposed to reacting when things go wrong. Utilizing ...

Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights ...

Clearwater Analytics CISO Sam Evans dodged a bullet by blocking shadow AI from exposing data integral to $8.8 trillion under management.

Predictive analytics is a branch of advanced analytics that combines historical data with statistical modeling, data mining techniques, and machine learning.

Key Points Analytical modeling is a mathematical approach to problem-solving. It provides a mathematical structure to make data-based decisions. Skilled practitioners can leverage results across all ...

Subscription management vendor Zuora packages up its data model for analysis alongside a wider range of customer success KPIs in Snowflake.

With the retail analytics market projected to reach US$23.8 billion by 2027, it’s a no-brainer that data analytics plays a huge role in customer acquisition and retention.

We spoke with Robert Brown from BDO Digital about customer analytics in retail sales. He noted that a fundamental notion about the role of technology this year is that it is critical to invest in ...