About Study Hotels
hospitality, fullservice hotels, food, beverage, banquet, catering, university locations, hotel management, hotel branding, luxury hospitality, guest services, luxury accommodations, design, boutique hotels, thoughtful hospitality, luxury, academic campus hotels, b2c, hotel marketing, luxury guest experience
Study Hotels's Tech Stack
Other
Marketing
Analytics
Decision Makers at Study Hotels
1 contactJon Alfield
Director of Engineering
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Study Hotels's Position in the StackWho Database
- • Study Hotels is 1 of 3,509 hospitality companies tracked in StackWho.
- • 3,490 hospitality companies in our database have verified decision-maker emails (99% of the cohort).
- • 23,956 companies in New York are in the StackWho database.
- • 362 hospitality companies are in the 51-200 employee range (same size as Study Hotels).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.
Frequently Asked Questions
What technology does Study Hotels use?
Study Hotels uses Outlook, Cloudflare DNS, Typekit, Facebook Custom Audiences, Facebook Login (Connect), Google Tag Manager, and 4 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Study Hotels?
StackWho has verified email addresses for 1 decision maker at Study Hotels. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Study Hotels directly for sales, recruiting, or partnerships.
What industry is Study Hotels in?
Study Hotels operates in the hospitality industry, headquartered in New York, New York, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Study Hotels's contact data?
Yes. StackWho Pro members can export decision maker contact data for Study Hotels and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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