Duetto is in Food & Hospitality, in Hotel Revenue Management Software. That's the market I researched for this playbook.
Playbook synthesizes rate shopping intelligence, SEC casino occupancy filings, and NIGC tribal gaming revenue data to show hotel and casino operators where competitors are capturing displaced demand due to rate floor differences during high-value booking windows.
Signal type: Competitor Intelligence
The segments, the people and the public data that finds them are in the full playbook. I haven't pulled them onto this page yet. Read the full playbook
The messages are written out in the full playbook, each one tied to the data that proves the problem. Read the full playbook
Read the full playbook with your team. If it's the right angle, I can build the whole thing for you: every account in your market, the lists and the messages, in one repo your team keeps.
arcticglacier.com
The playbook uses aggregated delivery records from 75,000 customer locations to benchmark ice consumption against similar stores by ZIP code, and correlates historical delivery patterns with public event calendars to provide predictive demand surge alerts.
View playbookarrowstream.com
The playbook uses aggregated pricing from 130,000+ restaurant purchase orders to show distributors SKU-level pricing gaps behind lost bids, and correlates internal supplier incident logs against state health inspection data to identify which distributors precede violations.
View playbookbentobox.com
The playbook uses state liquor license databases to identify full-service restaurants with renewals coinciding with peak spring booking seasons, connecting compliance scrutiny with high no-show risk during revenue-critical periods.
View playbookaretheyhappy.com
The playbook forensically links state health department violation dates to Yelp review sentiment surges at casual dining chains, demonstrating the exact timeline from health violation to negative review spike with specific location and percentage data.
View playbookenseo.com
Playbook uses state-level assisted living inspection databases to identify large-capacity facilities with documented emergency response time deficiencies, and benchmarks them against internal MadeSafe system response data to surface facility-by-facility performance gaps.
View playbookfourth.com
Playbook maps DOL wage violation patterns, health inspection records, and internal labor cost benchmarks across restaurant locations to predict compliance risk zones for expansion openings.
View playbookI build your full TAM in one repo, pull the lists from real problems your buyers have, and write the messages that go with them. After a three-month engagement, your team owns all of it and keeps running it.
