Anonymous feedback tends to be more honest feedback. As an Enterprise Member, you’ll not only have access to granular anonymous zero party data - you'll also be able to customize, share and print reports that are generated from agnostic sources. In other words, the data we collect is not dependent on guests using any one channel for making reservations, ordering delivery, paying or publicly reviewing. 

As a Paire Enterprise member, you'll also be able to compare your specific market's personal taste profiles with your establishment's current (or planned) offerings...i.e., you'll be able to see how many daytime guests love ginger, tofu and pizza when deciding whether or not to add that ginger baked tofu flatbread to your lunch menu.

Everyone wants asses in seats - but no one wants to pull guests whose tastes aren't compatible with the offerings. The more restaurants and specific menu items our members privately rate, the better Paire will be at guiding those who love what you're doing directly to you.

Like you, we're in the business of making people happy and that begins with seeing each and every guest as a unique individual with unique tastes and preferences. That's why Paire Enterprise Members have the opportunity to populate their own Profile with: menus (or 3rd party menu APIs), profile information, keywords to facilitate better matching, preferred delivery methods (if applicable),  direct links and LTOs/promotional offers.... or have us do it all for you for an annual fee of $99.99. 

Paire is not a pay-to-play system which means - although we will enable outlets to showcase / update their specials at-will for a fee,  no one can buy: featured status, increased compatibility or highlight their listing on the network. Our number one goal is to maintain the integrity of the compatibility scores  so  we do our best to avoid any potential conflicts of interest.

That being said, claiming your Enterprise account to ensure your data is optimized and up-to-date, will facilitate faster more reliable matches and more accurate guest data entries. Which means more guests who love what you do, can find you faster.

When it comes to measuring performance, restaurant owners and operators rely on internal benchmarks based on past performance, investor expectations and industry-wide reports. 

Most third party reports are based on data collected by companies selling: advertising, SEO, reservation software, hardware, POS interfaces and other merchant services. The data we collect is agnostic - meaning it's sourcing is not vendor, outlet or affiliate dependent. It's guest dependent.

Even information supplied to and by the U.S. Census Bureau may not always accurately define real-life guest behavior or actual revenue center performance (e.g., U.S. Census does not include sales from delivery, vending machines and food trucks as "restaurant sales"). And they don't always use the most relevant guest data or understand your local demographics as well as a hands-on operator like you does.  
 
A great example is the fact that most hotels benchmark their F&B sales via paid Skift-style reports (that are based on deep-diving research, surveys/interviews, analysis and forecasts) or by employing e-tools specifically designed for the lodging industry (like STR reports). But those barometers are only designed to measure on-property F&B sales and only compare them against the performance of F&B outlets at other lodging properties... which neglects the largest segment of actual and direct competition: off-premise outlets.

That's why we're creating an Enterprise model where restaurant owners and lodging operators alike can customize their own dashboard and more accurately define opportunities that exist with more customized (and relevant) benchmarking parameters.


“90% of hotel and home sharing guests find it appealing to receive a personalized service from the staff that is based on an understanding of their preferences and point them to relevant experiences or recommend excursions like where they might enjoy dining out.”
— Oracle Customer Engagement & Loyalty Statistics

— Oracle 2018 Customer Engagement & Loyalty Statistics

Although existing verticals provide a great deal of insight, they don't focus on where their own guests are spending most of their time and money - i.e., off-property options which include a great number of: independent restaurants, food trucks, pop-ups, supermarkets, delis / convenience stores, etc... 

These are the outlets where guests not only spend their time and money but, more importantly, reveal more of their preferences due to the greater number of options available.