What does leasing properties in Q4 look like?

Estimated read time: 4 minutes

TL;DR

• National leasing demand slowed in Q4, with lead volume down ~40% from peak season

• Conversions held steady, meaning renters were still serious, just more selective

• Average days on market landed at 31.6 days, but dropped to ~21 days once pricing aligned

• Homes generally leased after 15–20 leads, compared to 25–30 earlier in the year

• Pricing accuracy and response speed mattered more than ever

As part of our ongoing effort to stay ahead of leasing trends, our team reviewed national Q4 leasing data reported by Rent Engine, based on activity from property managers across the U.S. While this data reflects national patterns, it provides helpful context for understanding how renter behavior shifted at the end of the year and what that means heading into Q1 of 2026.

Leasing Demand Slowed, But Didn’t Disappear

The biggest change in Q4 was volume. Nationally, leasing inquiries dropped about 40–42% compared to Q2 and Q3, which were the most active leasing months of the year. That slowdown aligns with typical seasonality, but it also reduced the margin for error. With fewer leads coming in, each inquiry carried more weight.

What stood out, though, was that conversion rates did not drop at the same pace. Renters who were searching were still motivated, they were just more selective about price and process.

Days on Market Told a Clear Pricing Story

Across the platform, average days on market landed at 31.6 days in Q4. That number was heavily influenced by listings that entered the market priced above where renters were willing to engage.

Once pricing adjustments were made, performance improved quickly. After a property’s final price change, the average days on market dropped to about 21 days. That just shows how important it is to have your rentals pricing aligned with market expectations and not just your hopes and dreams.

Fewer Leads, But Stronger Efficiency

Another notable shift was how many leads it actually took to lease a home. In Q4, many properties leased after 15–20 total leads, compared to 25–30 leads earlier in the year.

Smaller units (studios, and 1 beds) continued to attract higher overall lead volume, while larger homes often saw fewer inquiries but stronger conversion rates. In some cases, 30–35% of inquiries converted to showings, reinforcing the idea that renters reaching out were more intentional.

Where Renters Are Coming From

Major listing platforms like Zillow, continued to drive the majority of inquiries, accounting for just over 50% of total leads, though that share has gradually declined over time.

At the same time, roughly 20% of completed applications came directly from property websites rather than third-party platforms. That’s a meaningful shift and suggests renters are researching more carefully and engaging directly with the property manger or property building.

Speed Still Wins in a Slower Season

With fewer leads overall, response time played a bigger role in outcomes. The data showed that faster responses, streamlined showing scheduling, and clear next steps helped prevent drop-off in leads. Renters are making decisions faster, and delays are more costly than they were during peak season.

What We’re Taking Into Q1

From our perspective at RPM Richmond Metro, Q4 didn’t signal a weak market, it highlighted a more disciplined one. Pricing accuracy, early performance monitoring, and execution mattered far more than simply being listed everywhere.

As we move through Q1, we’re continuing to pair national leasing data with local market insight to stay proactive with pricing and strategy. The focus remains on leasing efficiently, competitively, and with long-term performance in mind, even during traditionally slower months.

Hard Facts:

These metrics reflect national performance across property managers using Rent Engine but also do align with what we see in our portfolio and how we base our averages.

Response Time

• Average response time to new leasing inquiries using our system: 6 seconds

• This includes automated engagement immediately after a renter submits an inquiry

• Faster response times were directly tied to higher showing and conversion rates, especially during lower-lead periods in Q4

Inquiry to Showing Conversion

• National inquiry-to-showing conversion rates generally ranged between 20–30%

• Larger homes, while receiving fewer inquiries overall, often converted at the higher end of that range

Showing to Application Conversion

• Showing-to-application conversion commonly landed in the 40–50% range, depending on pricing alignment and property condition

• Pricing issues were the most common reason for drop-off after a showing

Inquiry to Lease Conversion

• The key difference in Q4 was that fewer total inquiries were needed to secure a lease when pricing was correct

• Homes often leased after 15–20 total inquiries, compared to 25–30 during peak season

Showings Activity

• Renters were scheduling fewer showings per decision

• Many renters toured one to two properties before applying, compared to multiple tours earlier in the year

• This shortened decision window made early engagement and smooth scheduling more critical

FAQ