It’s one thing to know whether an individual customer is intrigued by a new mattress or considering a replacement for their sofa’s throw pillows; it’s another to know to how to move these people to go ahead and make a purchase. When deployed strategically, artificial intelligence (AI) can be a marketer’s trusted customer experience ally—transforming customer data into actionable insights and creating new opportunities for personalization at scale. On the other hand, when AI is viewed as merely a quick fix, its haphazard deployment at best can amount to a missed opportunity and at worse undermine trust with an organization’s customers.

This phenomenon is not unique to AI. In today’s fast-moving digital economy, it’s not uncommon for performance and results to lag behind expectations. Despite the enormous potential of modern technology to drastically improve the customer experience, business innovation and transformation can remain elusive.

According to Gartner, 89% of companies now compete primarily on the experiences they deliver. As marketers and other teams turn to these systems to automate decision-making, personalize brand experiences, gain deeper insights about their customers, and boost results, there’s often a disconnect between the technology’s potential and what it delivers.

When it comes to AI, frequently, organizations fail to realize the full benefits of their AI investments, and this has real business repercussions. So how do organization ensure that their investments deliver on their promise for fueling innovation, transformation, and even disruption? To find success, it requires the right approach to operationalizing the technology, and investing in AI capabilities that can work together throughout the entire workflow to connect various thoughts and processes together.

Getting real about AI. Realizing the value of AI starts with a recognition that vendor claims and remarkable features will only go so far. Without an overarching strategy, and a clear focus on how to operationalize the technology, even the best AI solutions wind up underperforming and disappointing.

 There’s no simple or seamless way to implement AI within an organization. Even with powerful customer modelling, scoring or segmentation tools, marketers can still wind up missing key opportunities. Without ways to act on the data, the dream of AI quickly fades. In other words, you may know that a certain customer likes hats, and another customer enjoys wearing scarfs but how do you move these people to an actual purchase, or deliver the right content for where they’re at in the buying lifecycle?

The winning approach is to start small and focused when it comes to implementing AI technology. Be mindful about what types of data models you can build with AI, and how they can be used to deliver compelling customer experiences, and business outcomes. Collecting and analyzing actionable customer data is only a starting point. There’s also a need to develop content that matches personas and market segments and deliver this content in a personal and contextually relevant way. Lacking this holistic view and AI framework, organizations simply dial up speed—and inefficiency. In fact, AI may result in more noise and subpar experiences for customers, and unrealized results for an enterprise.

Moving from transaction to transformation. A successful AI framework transforms data and insights into business language and actions. It’s not enough for the marketing team to know what a customer likes, for example, it’s essential to understand howwhen and where an individual engages with a business. Only then, can a brand construct and deliver a rich customer experience that matches the way their customers think about and approach a brand. This includes an optimal mix of digital and physical assets, and the ability to deliver dynamic web pages, emails, and other campaigns that customers find useful and appealing. When a marketer understands intent and how a person travels along the customer journey, it becomes possible to deliver the most compelling customer experience.

With this framework in place, marketers can read the right signals and ensure that content delivery is tuned to a person’s specific behavior and preferences. It’s possible to send emails, serve up ads and mail brochures that reach consumers when they are receptive and ready to engage. Whether the customer

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By: Anil Kamath
Title: Turning AI into your customer experience ally
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Published Date: Wed, 02 Feb 2022 15:00:00 +0000