Consumers expect a seamless experience from every brand they interact with – across multiple digital and offline properties. When executed effectively, these experiences encourage customer loyalty, make employees happy, improve sales by 5–10%, and can reduce costs by up to 25% within two or three years, according to McKinsey.
The big challenge for many brands is the complexity and scale of modern digital interactions and the vast amount of data that comes with it. How can they build an understanding of the complicated and unpredictable ways in which customers behave? How do they move from data-to-insight, and then insight-to-action quickly, and at scale, to meet customer expectations?
When analyzed and interpreted effectively though, this data can reveal unique behavioral insights that will help practitioners make better-informed decisions to improve customers’ digital experiences.
The good news is that most organizations are suffering very similar issues when transforming their digital experiences. In this guide, you’ll read about 5 ways some of the world’s biggest brands are using experience analytics - and the unique behavioral insights that come with it - to overcome the challenges they are facing.
It’s a chance to learn how those building best-in-class digital experiences are getting a better understanding of digital customers and how they behave; how they are able to better optimize and increase efficiency in their testing and experimentation programs; and how they are visualizing and surfacing the insights gained from behavioral analytics to different stakeholders across the business to inform business decisions and drive revenue.