How We Actually Set Rents: A Look Inside Our Pricing Strategy
Most property managers take the easy way out when it comes to setting a rental price: they look at Zillow, check a couple of nearby listings on the MLS, and pick a number somewhere in the middle.
It’s cheap, it’s fast, and it’s completely inadequate for maximizing your long-term returns.
If you want to optimize your cash flow, you have to look beyond a few comps.
For example, we operate on a “plus-one” mentality—constantly pushing to improve our evaluation process so our owners get the highest possible yield without suffering extended vacancies.
So let’s break down our process so you can apply it in your own investments. Here’s exactly how we evaluate each property and set a rental price that actually performs.
The Problem With Zillow
Let’s address the elephant in the room: Zillow data is inherently flawed.
Don’t get us wrong–we love Zillow. We crush it with our Zillow listings every month, in fact.
But we also post on more than 20 other listing sites, because you can’t just rely on one platform. The same goes for data.
The biggest problem with relying heavily on platforms like Zillow is that they only show you what price a landlord asked for, not what the property actually rented for.
When a listing comes off the market, you have no idea if the landlord secured their asking price, if they had to negotiate down by $150 a month, or if they just pulled the listing to reset it after weeks of no interest.
Basing your financial projections on asking prices rather than closed rental data is a recipe for extended vacancy.
The 3-Source Minimum
Because single-source data is unreliable, we require a minimum of three distinct data sources to build a reliable rental profile.
While we do factor in the MLS and Zillow to understand active market competition, we cross-reference that data with paid, institutional-grade tools and services like Rentometer to find the actual, localized medians.
(And for the record, we completely avoid Craigslist data, which is too erratic and scam-heavy to provide any real analytical value).
Hyper-Local Granularity & The Condition Check
Once we have the raw data, the human element takes over. An algorithm doesn’t know what your kitchen looks like, but your prospective tenants certainly do.
We push for extreme geographic granularity, comparing your property only to homes in the immediate vicinity.
But then, we go a step further.
Most investors and property managers just use generally similar comps to establish a market rent.
We, on the other hand, actually do a hard analysis of the property’s condition by comparing interior photos of the active comps. This makes it easy for our marketing team to evaluate the true market position, and it gives you, the owner, a clear picture of where you stand.
If your property isn’t as updated as the top three comps in your neighborhood, we will shoot straight with you: you will likely have to take a 10% discount on your rent, unless you’re willing to upgrade the kitchens and bathrooms.
Conversely, if you have a freshly rehabbed, brand-new property, we’ll stress-test the top of the market to see exactly how far we can push your yields.
Validating the Price with the Funnel
A rental price is only a hypothesis until the market reacts to it. Once a property goes live, we rely on hard marketing metrics to tell us if our pricing strategy is working.
We track the entire leasing funnel and share this data directly with our owners:
- Impressions: Are people seeing the listing?
- Inquiries: Are the photos and price compelling enough to make them ask for more info?
- Showings Scheduled & Completed: Are they actually showing up to walk the property?
- Applications: Are they pulling the trigger?
If we have lots of impressions but no showings, the market is telling us the price is too high for the condition.
Tracking this funnel allows us to pivot quickly, minimizing your vacancy time.
Set Rents Right, Get Accurate Projections
There are no shortcuts to maximizing your rental yield.
Throwing a number against the wall and hoping it sticks might be the easy route, but it is not how professional, high-performing portfolios are built.
Nailing the perfect price point requires a commitment to deep, localized data and the agility to pivot the second your leasing funnel tells you to.
It takes a little more work up front, but the payoff is a stabilized, predictable asset that performs exactly the way you projected.
Pricing a rental correctly isn’t a guessing game—it’s a science.
If you want cash flow plus appreciation, you need a management team that uses real data to give you steady rents and equity gains over the next 5-10 years.
Contact our team today to get a comprehensive, multi-point rental evaluation for your property.