Working pilot

AP Travel

Which country, when, and who will come.

Air seats · exchange rates · search volume · holiday signals, combined to show where the opportunity is: which country → which city · which guest · which week.

01 · One scene

When signals align, an opportunity appears.

Only markets where exchange rates, air capacity and search volume point the same way are raised, with evidence. Budget, channel and message stay with the marketer.

Market signals → opportunity (Japan → Seoul · couples in their 30s · Nov 1–9) → manager decides → outcome
02 · What it watches

Six signals. Only when they agree.

Air seats · exchange rates · search volume · arrivals · holidays · concert schedules. One or two looking good is not enough. When all six point to the same place, it becomes an opportunity.

Six-signal dashboard — air seats · exchange rate · search · arrivals · holidays · concerts, 6/6 aligned
03 · Market size

The year 20 million arrive. Who comes, and when, differs.

2.09 million visitors in July 2026, +20.8% year on year. China · Japan · Taiwan · United States · Hong Kong, in that order. Each country has its own peak season, spend and reason to come.

Figures are refreshed after each monthly statistics release. Estimates are illustrative, not results.

Annual arrivals 2019–2030 target · July 2026 arrivals by nationality
04 · Who uses it

Anyone waiting for guests.

Hotel and resort marketing, local governments and tourism boards, travel agencies and OTAs, concert and MICE organizers. It answers “which country do we advertise in now” every week.

The weekly opportunity report hotels, tourism boards and agencies receive
05 · How it connects

The same engine as AP Revenue. Only the data differs.

Signals → priority → human decision → outcome on record. Public data (Korea Tourism Data Lab · TourAPI) and partner data feed a weekly “this week's opportunities” list and campaign briefs.

  • Public · partner data
  • Six signals normalized
  • Opportunity list (origin → city · guest · week)
  • Manager decides
  • Campaign
  • Verified by visits and bookings
Weekly opportunity reportCampaign briefAP Revenue booking data linkK-Concert Trip — app for overseas K-pop fans visiting Korea, first measurement channel
06 · Web pilot

Which market should the next campaign focus on?

Reviews market signals together — travel demand, air supply, bookings — and sorts which markets to pursue and where the evidence still needs work.

A rule-based market review tool. Scores are not revenue forecasts or performance guarantees.

Working pilotOrg accounts · Excel inputPer-market decision history
AP Travel synthetic example (redrawn): a market overview showing pursue, watch and de-prioritize per market, with next actions
Screen example on synthetic data (redrawn) · not a judgment on real products or markets.

Enter data by origin market, destination and travel period and it sorts them into pursue, watch and de-prioritize. Reviewers see the reasoning and next action, and the team's decisions and observed outcomes accumulate.

  • Eight market signals with source and as-of date
  • Conflicts between supply constraints, demand and booking direction
  • Excel input and per-market decision records
  • Before/after comparison when data is refreshed for the same market and period
07 · Today

Today, in a web pilot.

Sign in with an organization account, enter market data and record decisions. The same engine runs on hotel booking data in AP Revenue.

Automatic market-data collection · standard metric definitions · validation against real outcomes — next steps