Exploring the MarTech & CX Landscape
Content creation has become a crucial aspect of marketing strategies. With
the rise of generative artificial intelligence (AI), marketers now have a
powerful tool at their disposal to create content more efficiently and
effectively.
Product leaders need customer empathy in order to build more
customer-centric experiences. This means understanding the actual problems
that customers are trying to solve and ensuring that the products being
built address those needs. It also involves considering the global economic
trends and technology changes that may impact customers and incorporating
innovation into products.
One of the key aspects of moving in the direction of a more autonomous
enterprise is the role of the leader. While they still set the goals and
objectives, their role shifts to that of a steering mechanism rather than
being directly involved in decision-making. This is similar to an
autonomous car, where the driver sets the destination but allows the car to
make decisions based on real-time data and constraints.
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.
