What does predictive customer journey analytics look like?

Walking through a predictive customer journey dashboard and results

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When will a customer take action? How rapidly will they respond to a bank offer for credit, or to a retailer’s offer for a sales promotion? If you don’t know the answers to these questions, you can’t really develop a sound strategy for delivering the right offer to the right customer at the right time. This is what predictive customer journey analytics are all about.

Many of our clients are visual thinkers, so we wanted to provide everyone a visual walkthrough of what predictive customer journey analytics looks like to a business decision maker. We built an illustration and published a narrated video of Corios Veloce at work, using results from a recent engagement as our inspiration. It’s a short, 10-minute exploration of the new insights decision makers can use to determine when to engage with a customer at the best time, using leading indicators from transaction and interaction data.


If you want to know more about why we created Corios Veloce, you should read more about the inspiration for our solution at this recent blog post.

You can also read more about the Corios Veloce solution, some client case studies, how it works, and several Corios RedPapers sharing more about how it works, at the Corios Veloce solution page.

And if you just want to talk to someone about how Veloce might make sense for your organization, contact us here.

Robin Way

The Founder and President of Corios, Robin’s professional passion lies in democratizing and demystifying the science of applied analytics. An established thought leader fueled with 30 years’ experience in the design, development, execution and improvement of applied analytics models, Robin welcomes every opportunity to move the analytics conversation forward.

Connect with him on LinkedIn , or reach out to Corios to get in touch.