Price Your Next Vacancy With Real Data

Most multifamily rent pricing is still built on manual processes. Screenshots from listing sites. Comps shared over email. Spreadsheets passed between departments. Internal notes. Memory. Opinion. Gut feel.

These methods once worked because nothing better existed. The market was slower, data was limited, and digital transparency was weak.

None of that is true anymore.

Today, the rent market moves quickly and unevenly. Buildings across the street can behave differently. Seasonal patterns affect different micro-markets in different ways. New supply can shift pricing floors. Concessions can distort what appears to be a “deal.” Asking rent no longer reflects achieved rent.

A unit priced even slightly incorrectly can leak NOI immediately. If priced too low, the loss compounds over the entire tenancy. If priced too high, the vacancy loss often outweighs any premium.

In which creates a "leaky bucket" and factors such as profitability slips, and dissatisfied resident experiences.

This is where real data matters.

A modern rent pricing system must blend dozens of structured and unstructured data sources. It must understand building vintage, micro-market cycles, turnover trends, and competitive supply. It must clean, weight, and normalize data. And it must output one clear number that is simple to use and hard to argue with.

This number is exact rent; the true price a unit should be listed at.

Exact rent eliminates internal debate. It removes guesswork. It replaces opinion with clarity.

Pricing workflows are changing fast. The industry is shifting toward precision tools because the cost of manual pricing is too high and too quiet to ignore. As mentioned by ApartmentIQ, "Owners and managers with 100 properties spend approximately $300,000 per year in manual market surveys".

Your next vacancy deserves real data.

Price your next vacancy with real data. Visit TraceRent.ca