Measure every hotel before we write to it, then reach the Director of Sales & Marketing on the group-sales side.

Before we write to a hotel, we send it a real booking enquiry, time the answer, and grade the response (no reply, autoresponder only, useful answer). That measurement becomes the opening line. HotelResBot’s thesis stops being an argument and becomes a fact about their own inbox.

Spain and UAE run on cold email. Germany runs LinkedIn-led because UWG makes cold email a real fines risk. Both channels reach the Director of Sales & Marketing on the group-sales side (the seat that actually owns the outcome) and the reservations desk contact we identified through the measurement itself.

Positive replies routed to Brendan (or nominated reply owner) same day. Meetings booked into the calendar of the seat who takes them. Measurement report, verified contact directory, sending domains, sequences: all yours at day 90, contract or no contract.

Individual reservations: room-availability request with specific dates, guest count, corporate rate ask. Group sales: a full brief (date range, room block, meeting-space requirement, catering) so the response we grade is a real proposal, not a "call me back."

The exact hours-to-first-human-answer, logged. Response classified: no reply, autoresponder only, useful answer. Useful answers scored on completeness (price + availability + policies + attachments + attractiveness), same scorecard Brendan uses internally with speed at 50%.

Signature parsing, reply-to inspection, and where present a follow-up email that identifies who actually owns the enquiry. Result: a verified contact on the individual-reservations side, without guessing from LinkedIn org charts.

Every account gets one of 12 measured triggers (no human answered, autoresponder only, no owner, useful answer but slow, card details asked by email, etc.). Accounts with the sharpest triggers get written to first, with an opening line that quotes their own inbox back to them.

Not "your response time might be an issue." Instead "we sent a booking enquiry on [date], no human answered in 72 hours." Different message per measured trigger, so a hotel that never answered gets a different open from a hotel that answered slowly with a shitty PDF.

Every hotel we contacted, what they sent back, how long it took, and the seat that owns it. The Director of Sales & Marketing can take this to their own GM as internal evidence. This is why a hot lead lands warmer than a cold one, and a cold lead still gets a file worth keeping.

HITEC, HSMAI, Direct Booking Summit, Skift Global Forum, HTNG events. Every speaker is a self-selected industry-innovation participant. Small pool (est. 500 to 800 people worldwide), extremely high conviction. Cross-referenced against your target-chain list.

A PMS migration is the biggest tech-stack change a hotel makes. Anyone who did it in the last 12 months has proven change appetite and is actively rebuilding their stack. Announced via LinkedIn, partner press, and integration marketplaces. These are the buyers most likely to say "yes, add another modern tool."

The hotel proved itself an innovator publicly. The people in DSM and reservations roles at those hotels either won the award or have the mandate to keep the innovation reputation going. Award lists are public and scrapeable. Small, high-conviction cohort.

LinkedIn search for exact-phrase posts from hoteliers in the last 90 days. If a Director of Sales & Marketing at a target chain is publicly writing about AI in hospitality, they are already sold on the category and just choosing a vendor. This is the warmest cold audience possible.

Follower is passive. Engager is active. Filtered from the 116,959-follower pool (section 02), we extract the ~5 to 10% who publicly interact. This is the sharpest slice of the competitor intent audience: category-active, publicly visible, in-market right now.

No Vacancy, Modern Hotelier, Hospitality Meets, Skift Take. Anyone who has gone on record on a podcast or written a bylined piece is a public-facing innovator. Small pool, extremely high signal. Same treatment as the speakers cohort: cross-referenced against your target list, prioritized in the sequence.

Infra: dedicated sending domains, mailboxes warmed to safely handle POC volume, SPF/DKIM/DMARC set correctly, weekly deliverability scan.

List: regional chains 10 to 500 properties in ES and UAE, group-sales + call-center seats enriched. Every row shows the qualification-agent measurement (response time, response type, verified reservations seat).

Copy: one variant per measured trigger. A hotel that never answered gets a different opening line from a hotel that answered slowly with an incomplete quote.

Reply flow: positives routed to Brendan same day. Meeting requests to your calendar.

Reporting: weekly. Deliverability + replies + meetings + which trigger drove each.

Why not email in DE: UWG makes B2B cold email a real fines risk without documented legitimate interest. LinkedIn is the compliant path to the same Director of Sales & Marketing seats.

Accounts: managed HotelResBot LinkedIn seats, warmed and orchestrated to send human-paced volume.

Sequences: connection request timed to the qualification-agent measurement, short message after. Same one-ask-per-touch rule as email.

Targeting: same three geo-specific segments, adjusted for the seats that respond well on LinkedIn (DSM, VP Sales, Chief Commercial Officer).

Reply flow: replies routed same day.

Reporting: weekly. Connections + replies + meetings + which trigger drove each.

Why the bundle: your three focus countries split cleanly across the two channels (ES and UAE on email, DE on LinkedIn). Running both channels off one qualification agent means the same measurement drives every touch, and one weekly report covers all three geos.

Shared list: one master list per segment, one measurement feed, one reply queue.

Coordinated timing: a Spanish chain gets an email on Tuesday, a German chain gets a LinkedIn connect on Wednesday, both anchored to the same qualification event.

Save €2,000/mo vs. buying the two separately.

Exact TAM per geo delivered as the first artifact. Qualification agent stood up (booking enquiry sender, response classifier, timing logger). Sending domains + LinkedIn accounts bought and warmed in parallel. Copy drafted per measured trigger for your sign-off.

Qualification agent runs against the full list. Every hotel graded. Sends go live on the first cohort of measured accounts (whichever triggers fire hardest first). Positive replies route to you same day. Week-4 review of which triggers converted, which seats replied.

Volume rebalanced by which triggers and which geos are answering. If event support was added, WTM London pre-outreach runs in this window. End of month 2 = meeting-floor check. Hit 5 meetings → month 3 invoices normally. Miss 5 → month 3 is free.

Engine at rhythm on the winning triggers and geos. Day 85: POC report delivered with full measurement dataset, contact directory, meeting attribution, and a scale-up recommendation. You decide to continue month to month, expand scope, or stop. Every asset stays yours regardless.