Blueshift Launches First of It’s Kind AI-Powered Cross-Channel Visual Journey Builder
“One of the biggest challenges for marketers in 2017 will be understanding the connected customer journey across all touch points and how best to interact on a more personal, content-rich level.”
– CMO Council
Introducing The AI-Powered Cross-Channel Visual Journey Builder
Today, we announce the public launch of our AI-Powered Cross-Channel Visual Journey Builder. Blueshift solves the problem of building personalized, content-rich campaigns and customer journeys with a first-of-its-kind approach to customer engagement that brings Data, Artificial Intelligence, and Cross-Channel Automation together into a unified, quick to implement product.
Today’s marketers must build unique, 1:1 user experiences at scale to meet the increasing demands of their perpetually connected customers across all devices and touch points. Only by combining behavioral data, artificial intelligence, and automation does this becomes a reality.
What Makes Blueshift’s Visual Journey Builder Different?
Unlike legacy systems, Blueshift’s AI-Powered Visual Journey Builder enables marketers to trigger cross-channel customer journeys and campaigns based on AI-Computed Predictive Scores, as well as to include AI-Powered content and product recommendations at every step…all through a highly visual and intuitive interface.
This unique approach of combining behavioral data, AI, and automation in a unified product gives marketers the full control they need to respond to every customer behavior with a 1:1 customer experience on every channel. Beyond merely building a simple workflow tool, Blueshift built a unified platform that provides a powerful segmentation engine, multichannel campaign orchestration, predictive scoring (powered by AI), and A/B testing.
Unlike legacy marketing cloud solutions and overly simplistic “point-and-click” tools that do not have AI at the core, this unified approach provides the following advantages:
Enter Customers into Journeys at Exactly the Right Time & Right Channel, Based on AI.
In the past, marketers struggled to define rules that should determine when customers enter a journey. With Blueshift, marketers can use AI-Powered Predictive Scores to launch journeys at the perfect time for each customer.
Insert AI-Powered Content Recommendations at Each Step.
With legacy systems, it is often hard to combine content-rich personal experience with automated campaigns. With Blueshift, the visual campaign builder is fully integrated with an AI-Powered Recommendation Studio for content & product recommendations, ensuring a content-rich 1:1 experience across channels. Marketers can even a/b test different types of recommendations.
Track & Measure Campaigns in an Intuitive, Visual Interface.
Legacy systems are unable to tie back attribution data and visualize the data at each step of the customer journey. With Blueshift’s unique integrated approach, marketers select their own conversion metrics from any part of their funnel, customize their attribution models, and visualize campaign performance at each step.
But Don’t Take Our Word For It…
“Blueshift’s new approach of combining behavioral data, AI and cross-channel automation in a unified product finally enables us to launch more direct customer engagement at scale.”
– Kristy Ng, Sr. Manager, Digital Marketing, Udacity
A New Approach that Drives Results
Another early adopter, UK’s biggest money saving app, Vouchercloud, has used Blueshift’s Visual Journey Builder to deliver more than 1 billion emails & mobile push notifications, with a small team of marketers.
“Using Blueshift’s AI-Powered customer journeys, our small team has been able to deliver over 1 billion emails and push notifications across 12 countries. The messages are highly personalized with behavior-based, localized recommendations. In just 6 months with Blueshift, we’ve seen engagement rates climb to 40% and year over year direct email revenue has increased by 81%, far exceeding our expectations.”
– Becky Spurr, Head of Communications, Vouchercloud/em>
Read the the full case study here >
