What is price competitiveness?
Price competitiveness is how your rate compares to others in your market — the pricing gap. If a nearby property charges $100 less, you might be overpriced and missing bookings; if your neighbor charges $100 more and books just as well, you might be discounting unnecessarily. Owners obsess over this because price is the easy comparison: on an Airbnb map view, listings are labeled by price, not attributes, because price has the highest coefficient of choice — the most critical factor when someone picks a property.
How to respond
First, address the competitors: the listings an owner screenshots are usually not their real competitors, and neither is a whole market in a BI tool — every property has only a handful of true competitors at any time. Second, remind them price is just one dimension of competitiveness; many other attributes affect booking probability and should explain the price difference. Third, for users of a probability-based optimization tool, express the decision in probability — dropping the price does raise booking likelihood, but it also lowers expected revenue, and both can be simulated and shared.
Supporting data and humility
Back your response with evidence: send a map view explaining how the real comps were selected, and share the attributes behind the price — a review score 0.3 points higher than the comps, or competitors who have a hot tub when the property doesn’t. Then support the conclusion with probability; quantifying the expected outcome lends authority. Finally, lead with humility: forecasting isn’t 100% accurate, so frame the answer in terms of uncertainty, and if you need to, calculate the accuracy of past forecasts to express how confident you really are.