Sanjana Chappalli
VP - Brand Marketing and Communications
Sanjana Chappalli is focused on shaping the Revinate brand to be known as the hospitality industry’s direct booking platform leader. She leads Revinate’s commitment to building brand equity with its customers, employees, and other stakeholders by setting clear marketing strategies and implementing tactical executions. Sanjana has led marketing teams in ad agencies and companies, working with global brands like Spotify, IBM, Lenovo, and Porsche in nearly 25 years of work experience across Asia, Europe and North America. Outside of work, she is a serious linguaphile: She speaks five languages fluently and is currently learning Spanish, her sixth language. Besides her love for languages, Sanjana is a frequent diver also always planning diving and snorkeling trips.

Featured articles
Five ways that hotels can make the most of mega-short booking windows
There’s no doubt that the Covid-19 pandemic is changing how consumers around the globe are thinking about and booking travel. In past trend articles on the subject, we have discussed how travelers today view air travel as risky but are loading up the car for staycations or workations within a few hours of their homes. We have shared how travelers are expanding their booking criteria, looking beyond price to examine the safety precautions that hotels [...]
COVID-19 vaccines offer hope for the hotel industry in 2021
2020 was an incredibly busy year for hoteliers. Despite the fact that most hoteliers saw fewer guests last year than usual due to travel restrictions and shelter-in-place mandates, hoteliers worked overtime, and often with skeleton teams. They partnered with their local tourism bureaus to understand travel guidelines to their destination. They installed new signage to ensure social distancing. They rearranged furniture to avoid having groups congregating. They rethought their amenities and repurposed meeting space. They [...]
Make the most of every guest with Advanced Profile Synthesis
Recently, we shared news about an upcoming technology release that we are incredibly excited about because it solves a major pain point for the hospitality industry. Advanced Profile Synthesis remedies a common problem in the hospitality industry: dirty data. Finally, hoteliers can spend less time manually cleaning up data and more time making the most of every guest. It’s a pretty incredible piece of technology that has taken us years to develop and train, and [...]
Revinate Named Best Email Marketing and CRM by Hotel Tech Report Three Years in a Row!
Last week Revinate won, for the third year in a row, #1 Hotel Email Marketing and CRM from Hotel Tech Report. This award is special for us because it’s based on feedback from hoteliers. Specifically, the awards are determined by 10,000 hotel software product reviews contributed by verified hoteliers. Winners are selected based on key performance metrics, including product popularity, customer satisfaction, integration compatibility, customer support quality, and more. Winning a HotelTechAward is the highest [...]
What is Advanced Profile Synthesis?
On January 12th, Revinate is launching new functionality that will help hoteliers finally solve one of the biggest problems that has plagued the industry for years: dirty guest data in Property Management Systems (PMS). Our cutting edge technology, Advanced Profile Synthesis, is a highly sophisticated and effective AI and machine learning-powered process that automatically cleanses, deduplicates, synthesizes, and merges your guest data so that you can finally get a true and accurate view of your [...]
Why Messy Data is Holding You Back
George Fuechsel, an early IBM programmer and instructor, is credited for coining the term, “garbage in, garbage out.” Fuechsel used it as a concise way of reminding his students that a computer just processes what it is given. While the term is most often used in the context of software development, ‘garbage in, garbage out’ can also be used to refer to any decision- making system where failure to access precise, accurate data could lead [...]
