3 Keys to Improving the Customer Experience Through Data IntelligenceIn today’s experience economy, the reality is your customer experience defines your brand more than anything else you do. And yet when it comes down to it, many companies are lulled into limiting their potential for growth by hyper-focusing on better design, more creative content or experiences as the sum of their available paths, rather than focusing first on data intelligence.

The reality is the touchpoints with customers are constantly changing, as are their decision journeys – many times faster than companies can react, let alone shape – and data capabilities aren’t developing fast enough. A recent global survey of 14,000 digital marketing professionals published by Adobe and Econsultancy found that while the vast majority of marketers consider customer experience their ‘most exciting opportunity’ in 2017’, investment by companies in data analytics is lagging.

This is a huge missed opportunity for companies and CMOs. Data can be a strategic weapon for creating more relevant and compelling experience for your customers. Yet many marketers aren’t tapping into their data in a way that has any significant impact on customer experience. So what should CMOs keep in mind as they look to unlock their data intelligence in a bigger way?

1. Changing your approach: it’s not just about the right data, but how quickly you learn and optimize

Big data has enormous potential, but it’s unstructured and coming in at unprecedented volume and variety that overwhelms most marketers. And yet despite this, the reality is the more data you tap into, the better your chances are of separating the signal from the noise. Finding the right tools to help you unlock these signals and optimize your customer experience in real-time can not only improve your marketing, but change the way you run your business.

Too often, companies today are satisfied with their data analytics, when in fact, most of the findings are backward looking and offer too little, too late when it comes to understanding and applying to CX in an impactful way. The fact is most companies don’t go far beyond vanity metrics, and data and results are often only understood and shared long after the program is over. In 2017, only using data to understand the past, should become a thing of the past. With machine learning and predictive analytics, marketers now have the opportunity to apply data in real-time in ways that go far beyond optimizing campaigns.

In fact, companies that strategically use predictive data outperform other brands. Wireless carrier T-Mobile is a great example. As a result of its data driven approach to customer and campaign management, T-Mobile saw a 50% reduction in churn rate.

2. Delivering better CX through predictive analytics and machine learning .

With predictive analytics and machine learning, today more than ever before, companies have an opportunity to apply big data insights to marketing strategy and automation to improve the customer experience. Marketers can build strategies to attract more valuable customers, and create most effective ways to nurture prospects and engage existing customers.

Are there untapped opportunities with a particular customer segment where you can generate better qualified leads? What can you learn from customer behavior insights and patterns? Predictive analytics and machine learning empowers marketers to answer these questions and then contextually present the most effective message and content to the customer at the right time, on the channels that suit their unique communication preferences.


This article originally appeared in huffingtonpost.com .  To read the full article, click here.