A Guide to Marketing Technology and CX

When customers have more options and higher expectations than ever before, optimizing and personalizing customer touchpoints has become crucial for businesses. The customer journey consists of every interaction a customer has with a brand, from the initial awareness and consideration stage to the purchase and post-purchase support stages.

Contextual personalization in physical retail refers to the practice of tailoring the shopping experience to individual customers based on their specific context or situation. This approach takes into account various factors such as location, time, weather, and customer preferences to deliver personalized and relevant content or offers.

AI buzz continues, but 2024 shifts focus from playful exploration to tangible results. Join us as we delve into “The Great Reconciliation”: standardizing tools, integrating AI into processes, and demanding proven ROI.

A key factor in achieving this collaboration is the use of data-driven experimentation. Data-driven experimentation allows companies to gather insights and make informed decisions based on real-time data. It provides a framework for testing and optimizing strategies, enabling companies to identify what works and what doesn't.

This article was written by Greg Kihlström for MarTech. As artificial intelligence technologies rapidly advance, marketing teams are tasked with integrating these powerful tools into their existing operations. However, this transition can be daunting, especially if your MOps function was established before the rapid rise of AI.

This article was written by Greg Kihlström for MarTech. Many companies are exploring and integrating AI into their marketing strategies and across business functions. While every organization has its own characteristics, the main goal of integration is to boost efficiency, gather valuable insights and enhance marketing outcomes with less effort.

This article was written for CustomerThink by Greg Kihlström. The strategic management of Customer Lifetime Value (CLV) has become increasingly critical for securing both short-term gains and long-term financial performance in the enterprise. Both first-hand findings and recent research sheds light on the nuanced relationship between effectively measuring and improving CLV and its consequential impact on an organization’s financial performance.

Customer lifetime value (CLV) is a crucial metric for businesses to understand and prioritize. It refers to the total revenue a customer is expected to generate over the course of their relationship with a brand.