The client
A hospitality group based in Thailand. The guest database had grown organically for over a decade. Twenty thousand past guests sat in the system, plus a few thousand enquiries that never converted. The marketing team was effectively one person with strong instincts and not enough hours.
The problem
The list was, to put it politely, dormant. One monthly newsletter went out to everyone. It was written carefully but generically, because writing twenty different versions every month was not realistic for one person. Open rates were modest. Click-through was weak. Repeat bookings from email were close to invisible in the reporting.
The audience was not unengaged. Almost nobody was getting a message that felt like it was meant for them. A guest who came on a luxury honeymoon trip in 2019 received the same newsletter as a guest who booked a budget backpacker route six weeks ago. That mismatch was doing most of the damage.
The marketer knew exactly what she wanted to send to each segment. She just could not physically write and send twenty versions a month, every month, on top of her actual job.
The approach
The starting point was the data. The team already had good segmentation. They just could not act on it at scale. Each guest segment (past trip type, destination, recency, average spend band) got its own behavior-triggered sequence inside the email platform they already paid for. A guest who came back six months ago on a cultural tour got a different sequence from a guest who came back last month on a family holiday.
For each segment, an LLM drafted the first version of the copy: subject lines, body, calls to action. The marketer reviewed and edited every piece before anything shipped. That was non-negotiable, and it was the right call. The AI cut drafting from “not happening at all” to a job she could finish in half a day per cycle.
Everything ran on tools the business already paid for. The existing email platform handled sending. Segmentation data already lived in the booking system. The only new pieces were the drafting layer and a small amount of glue pushing segments into the email automations.
The result
Open rates on segmented sequences came in at around three times the old generic newsletter. Click-through lifted by a similar amount. Repeat bookings from email moved from invisible to a measurable, growing slice of monthly revenue.
The marketer got her week back. Campaigns ship on their own. When she wants to adjust the voice or try a new sequence for a new segment, drafting takes minutes instead of days.
What is worth noting
Nothing exotic was built. The whole system runs on tools the business already had or could add for a modest monthly fee. The real value came from taking segmentation that was already possible in theory and making it possible in practice. That is most of what useful automation looks like inside a smaller business.
"I had a database of twenty thousand past guests doing nothing for me. The build turned that database into a live pipeline. Open rates are roughly three times what they used to be, and the repeat-booking line on the P&L finally moves on its own."