MODULE 15
A strong market has more than tourism. Hospitals, universities, government, corporate offices, infrastructure, events, family visitation and relocation create different demand layers that reduce dependence on one season.
Research demand using multiple evidence types.
Distinguish market activity from property-level viability.
Build conservative location hypotheses for testing.
Use several sources: comparable listings over time, event and project calendars, employment and health precincts, relocation activity, transport, seasonality and direct conversations with likely demand partners. One high nightly rate does not prove achievable annual performance.
Record the date, search settings, stay length, guest count and inclusions for every comparable. Compare like with like and account for cleaning fees, discounts and availability distortion.
A strong location serves a defined guest journey. Consider travel time to the demand anchor, parking, public transport, food, safety, noise, accessibility and the property's practical ability to solve the guest problem.
Micro-location can matter more than suburb reputation. Two properties a kilometre apart may face different planning, access, noise and guest-convenience conditions.
Create base, conservative and downside demand assumptions. Test different average rates, occupancy, stay lengths, cleaning gaps and seasonal periods. A location is not approved because the base case looks attractive.
Document what evidence would change the hypothesis. Research should lead to a decision rule, not endless browsing.
A coastal town shows exceptional rates during a two-week festival. The operator initially annualises those prices, then rebuilds the model using twelve months of comparable checks, off-season demand conversations and conservative occupancy. The property no longer meets the rent ceiling and is rejected.
Capture comparable settings, dates, assumptions and direct-demand evidence.
Define the guest problem, demand anchors, seasonality and evidence required to proceed.
It may be unbooked, event-driven, discounted elsewhere or not comparable in fees, quality or stay conditions.
The address-level relationship to demand, transport, amenity, noise, access and regulatory context.
A testable demand hypothesis and conservative inputs for further screening.
Demand drivers and trip purpose
Supply, competitor quality and availability patterns
Peak, shoulder and low seasons
Hotel, serviced apartment and platform competition
Regulatory difficulty and council attitude
Alternative use and exit demand
Define a suburb, council or radius
Search platforms as a guest across multiple dates
Record 15-20 credible comparables
Identify at least three demand drivers
Review seasonality and regulation
Write a go, watch or reject conclusion
Comparable property sheet
Demand driver map
Event calendar
Seasonality notes
Council research log
Using advertised rates as achieved revenue
Researching only a peak weekend
Ignoring new supply and hotels
Assuming tourism demand is stable year-round
Selecting a market before checking regulation