Fuel Adds In-App Functionality to its AI-Powered Platform

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Fuel Adds In-App Functionality to its AI-Powered Platform

11/20/2019

Fuel, a provider of hotel marketing software and digital agency services for the hospitality sector, announces the launch of a new feature set that has been integrated into its AI-powered cross-channel marketing and customer engagement solution. Powered by Blueshift, the patented platform works by aggregating guest data from every hotel system touchpoint and making it actionable, in order to create more personalized guest engagement and maximize deliverability of all guest communications.

The new in-app features integrated into the latest release of the platform include a set of mobile messaging and marketing tools. Mobile messaging allows hotels to easily create and optimize personalized in-app messaging, allowing them to deepen guest engagement and drive action with contextual timely communications. Mobile marketing features are designed to create rich, connected mobile experiences for the guest by personalizing every touchpoint. This is all accomplished through a new in-app campaign builder that is based on a template library, making it easy to understand and implement automated messaging campaigns. The campaign builder features drag-and-drop functionality and an open-source liquid editor to dynamically pull data and customize recommendations.

In addition to a comprehensive suite of standard features, such as confirmation notifications, pre-arrival emails, post-stay surveys, and cart abandonment messaging, the solution also offers a wide range of highly sophisticated tools, such as Intelligent Profiling and Segmentation. The system combines everything from message engagement, website behavior, and PMS profile information for a Single Customer View of each guest, enabling 1:1 marketing. Using machine learning algorithms and data science, the solution then provides automatic segmentation recommendations.

Another benefit of the platform is Intelligent Targeting, which leverages predictive analytics on guest research and booking behavior patterns to automatically determine each guest's potential value, sentiment and propensity to book, allowing for hyper-targeted drip campaigns.

Additional predictive features include Predictive Engage Time Optimization and Predictive Channel-of-Choice. Predictive Engage Time Optimization is based on a sending model that analyzes all cross channel engagement and downstream behaviors, so each guest receives messages at the precise time they are most likely to engage. With Predictive Channel-of-Choice, the platform delivers campaigns on the channel that each guest prefers to engage on, such as email, push, and/or SMS. It also has real-time integrations with the Facebook Ad Network and the Google Ads platform to automatically syndicate audiences for targeted advertising campaigns.