Common Misconceptions in Analyzing Marketing Data
In this article, we’ll clear up some typical misconceptions when analyzing marketing data.
In this article, we’ll clear up some typical misconceptions when analyzing marketing data.
Intrapraneurs, or change makers within the enterprise that perform the role of an entrepreneur yet within the bounds of an existing company, need risk tolerance and teamwork in order to succeed.
Let’s discuss how to tell if you’re using generative AI effectively. Specifically, we’ll delve into governance of AI utilization, ensuring there is continuing innovation in AI usage, as well as how to think about effective measurement of your AI usage.
Machine learning is revolutionizing decision-making processes across various industries.
Media automation allows marketers to spend less time on manual and tedious marketing processes, freeing up more time to focus on capturing consumer attention.
Conversational strategy utilizing conversational marketing platforms can drive better customer engagement.
The advent of generative AI tools has revolutionized the way organizations approach marketing, design, and writing work.
This article was written by Greg Kihlström for MarketingProfs. Read the full article here. Most marketing leaders would agree that providing a more personalized customer experience has the potential to drive more purchases, stronger
loyalty, and greater customer lifetime value (CLV). But what is the cost of
providing those personalized experiences?
Customer lifetime value (CLV) should not be solely focused on extracting value from customers. It should consider the benefits and value delivered to customers.
This article was written by Greg Kihlström for Fast Company. The website redesign: It is an all-consuming, oft-repeated, difficult-to-measure process that seems to be a requirement for any brand wanting to stay on top of their customer expectations and competitive pressures.