New e-book from Concilio Labs explores the power of actionable insights to anticipate guest needs, increase sales and optimize hotel business performance
Washington, DC (April 19, 2018) – Concilio Labs, a leading hospitality technology company, today announced the release of a new e-book titled, “Using Predictive Guest Intelligence to Drive Guest Retention and Revenue.” As the gap between guest expectations and hotels continuing to grow, the revealing e-book uncovers actionable strategies to better understand and measure up against those expectations.
Predictive Guest Intelligence (PGI) takes a high-level look at all the data available from critical indicators such as buying behaviors, travel purpose, social media, interests, booking channels, guest feedback and more. This information can then be translated into insights, predictions, and recommendations that give hotels a closer look at each guest and what drives their intention. It also helps hoteliers to act on those insights to encourage personalized service, increased sales, and loyal, long-term guests.
Highlights in the e-book include:
- Leveraging guest profiles and scores
- Predicting guest needs and fulfilling their expectations
- Using guest data to create customized upsell and cross-sell
- How to act on guest insights
“For hoteliers, acquiring new guests is only half the equation,” explains Terri Miller, CEO of Concilio Labs. “Ensuring they have a great stay is the key to keep them coming back. Predictive Guest Intelligence helps hotels better understand their guests to determine what they want. By leveraging the right technology, PGI works to provide specific, intelligent recommendations backed by machine learning and analytics that make it easy for hotels to deliver the recognition today's discerning guests crave.”
To download a complimentary copy of “Using Predictive Guest Intelligence to Drive Guest Retention and Revenue,” please click here or visit http://info.conciliolabs.com/predictive-guest-intelligence-ebook-drive-actionable-insights-using-personalization.
