Artificial intelligence. Real insights.
Quickly transform raw customer experience data into valuable insights with embedded AI services that help improve segmentation, attribution, and more.
Experience Customer Journey Analytics in action
Watch an overview of the analytics application that gives every team real-time, cross-channel insights.
All the data in the world isn’t worth much if you can’t act on it.
Succeeding in the digital economy depends on data. But it doesn’t end there. Insights are what really power engaging, personalized customer experiences. Finding those insights means having a dedicated data science team sifting through mountains of data to find valuable trends or anomalies, and then marketing teams making recommending actions based on their findings. Sadly, all this work is quickly out of date because of the pace of digital events. But not every company has a data science team at its disposal. What’s more, having teams dependent on each other slows both down — and ultimately results in slow time to market for the next great customer experience.
To stay competitive, companies need a way to do the heavy lifting of scouring customer data to uncover insights, anomalies, and trends without an army of interdependent teams.
Adobe can help.
Adobe Customer Journey Analytics uses advanced machine learning (ML) and AI capabilities to uncover insights along the entire customer journey, from first touch to final conversion. With services designed specifically for marketers, analysts, and content creators, it’s easy to apply AI to everyday tasks like attribution, optimizing ad spend, and weighting metrics. With AI, you spend less time digging through data — and more time acting on all those new insights.
Here’s how AI can help you make sense of all your data:
Improve segmentation - Use AI to identify “like” audiences across different phases of the customer journey and create new, more valuable audience segments.
Rapid-action plan evaluation - Test how specific changes to different channels, placements, or audience segments affects your overall business goals.
Marketing optimization - Quickly and predictively find the most effective channels and touchpoints and redirect budget to maximize their value.
“Reference customers were most impressed by Adobe’s robust data visualization capabilities. Adobe recently introduced Customer AI, an AI service on Adobe Experience Platform that enables users to build custom propensity models without code.”
Turn it up to 11! Customer Journey Analytics Tips and Tricks
Add omnichannel insights to your analytics repertoire. Follow along as an Adobe product manager highlights real-world examples of how customers are using Customer Journey Analytics to uncover valuable, cross-channel insights.
Please make sure that the "dexter.base.react.umd" and "dexter.base.consonantcardcollection" clientlibs have been added to the template's Page Policy