Guests crave exceptional experiences, and Venga’s analytics prove it.
We’ve taken our review aggregation from 16+ sites across the web and added the powerful ability to process the feelings behind those reviews with our new Sentiment Tab. Wondering how guests feel about your new seasonal Raspberry Rhubarb? How about that lighting you’ve been trying for your evening seating? With the new sentiment tab, you’ll be able to know this and more.
Before Venga’s Sentiment Tab: You thought that most guests love the Raspberry Rhubarb
After Venga’s Sentiment Tab: People were actually raving about the Lemon Meringue Pie
So, how does this work?
We developed a sentiment analysis algorithm with IBM Watson to understand the detailed nuances of guest feedback and correlate those sentiments to term-groupings. Everything from those Yelp comments raving about the Lemon Meringue Pie to the Google+ posts mentioning how the lighting was a tad too dark is captured and analyzed by Venga so restaurants don’t have to.
When you’re ready to dig deeper, click on any location’s grade and see each individual review contributing to that total sentiment grade. Or check out the analysis of sentiment grades over time, designed to notify restaurants of changes – both positive and negative – that are having an impact on the feedback from guests.
Guest feedback is valuable and when made actionable, improves any restaurant’s business. With Venga’s new Sentiment Tab, restaurants receive a high-level report card directly from their guests, or dig into the individual feedback from each diner. But either way, they have the data-backed proof that guests actually do prefer the Lemon Meringue Pie !!!