This article was written by Greg Kihlström for CustomerThink. Preparing for a first-party data strategy is crucial for brands in today’s evolving landscape of data privacy regulations and cookie deprecation.

This article was written by Greg Kihlström for Forbes Agency Council. AI provides marketers with a great opportunity to manage complex tasks, analyze vast amounts of data, and personalize customer experiences that benefit both customers and the business itself.

Today we’re going to talk about Customer Journey Orchestration with a focus on SMS and messaging to help brands drive greater customer engagement and personalize the customer experience for consumers that quickly grow impatient by being saturated with impersonal messages from the brands they support. In fact, according to a recent report by Twilio, two-thirds of consumers say they’ll quit a brand if their experience isn’t personalized.

If you're in marketing or customer experience, 30% of your job could be automated by 2030. Shouldn't you want more rewarding work anyway?

This article was written by Greg Kihlström for MarTech. The right governance structure is critical to creating, managing, and improving the customer experience utilizing tools like customer journey orchestration.

Healthcare organizations are increasingly turning to marketing analytics and advertising as a means of reaching and engaging with their target audiences.

In this article, I’m going to talk about the factors to consider when adopting generative AI so that you and your teams can go beyond simply jumping on the bandwagon and instead become power users.

Today we’re going to talk about the value of qualitative customer data, and how to use it well. To help me discuss this topic, I’d like to welcome Daniel Erickson. Founder & CEO at Viable, an AI analytics tool that enables businesses to instantly access and act on valuable insights from customer feedback.

This article was written by Greg Kihlström for CMSWire. It's likely already too late to pause adoption, but you can still establish an enterprise-wide stance on adoption and best practices for AI in business.

The concept of the autonomous enterprise refers to organizations that leverage advanced technologies, such as artificial intelligence (AI) and automation, to operate more efficiently and effectively.

There are likely many ways that artificial intelligence can benefit your organization, and you likely don’t have time to wait in order to reap the potential benefits.

One of the top trends in customer engagement for 2023, as outlined in Braze’s 2023 Customer Engagement Review, is the challenge of data management for brands

What happens when a disruptive technology is introduced midway through the process of transformation? Unless you’ve got access to a time machine to travel back and forth, you and your team are likely grappling with how to incorporate artificial intelligence like generative AI into your plans.

One crucial aspect that often goes unnoticed or is overlooked in discussions about AI and machine learning is the importance of foundational data infrastructure.

There has already been an impact of AI on content creation and Search Engine Optimization (SEO) and this will continue to grow, particularly with the emergence of Chat GPT and other AI technologies in search engines like Bing and Google.

Last holiday season, and even most of last year, it was hard to escape stories about how the supply chain was causing difficulties for retailers, as well as their customers. This article is based on a recent podcast interview with Peter Pernot-Day at SHEIN.

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?

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.

Automation and machine learning have revolutionized the way businesses operate and interact with their customers.

Marketers have a unique relationship to the data within an enterprise, thus data science is increasingly a topic of conversation among their teams.