2026 Benchmarks Real Estate Tech

Real Estate Tech Churn Rate

Real estate tech churn is heavily influenced by market cycles, agent turnover, and the fragmented nature of the industry. When housing markets slow, agents and brokerages cut tool spending aggressively. The high turnover rate among real estate agents (30-40% annually) directly drives SaaS churn as departing agents cancel their subscriptions. However, tools that integrate with MLS systems and manage transaction workflows benefit from meaningful switching costs.

Monthly Churn

5.0%

median

Typical Range

3-8%

monthly

Annual Equivalent

46%

yearly

"Good" Threshold

<3.5%

monthly

How Does Your Rate Compare?

Enter your monthly churn rate to see how you stack up against the Real Estate Tech benchmark.

%

Key Factors Driving Real Estate Tech Churn

Understanding why customers leave is the first step to keeping them.

1

Market cycle dependency — housing market downturns directly cause tool cancellations.

2

Agent turnover — the 30-40% annual turnover rate in real estate means constant subscriber loss.

3

MLS integration creates lock-in for tools embedded in the transaction workflow.

4

Fragmented industry — individual agents make independent purchasing decisions with low commitment.

5

Seasonal patterns — real estate activity drops in winter months, triggering subscription cancellations.

Retention Strategies for Real Estate Tech

Proven approaches to reduce churn in this industry.

Build MLS and transaction management integrations that become essential to the agent workflow.

Offer team and brokerage plans that survive individual agent turnover.

Create seasonal pricing flexibility or pause options to retain agents during slow market periods.

Develop lead generation and CRM features that prove direct revenue attribution for agents.

Build referral networks and community features that create professional switching costs.

How Real Estate Tech Compares

See where Real Estate Tech sits relative to all 13 industries.

Industry Monthly Range Annual
Cybersecurity 2.9% 1.5-5% 29%
Fintech / Banking SaaS 3.2% 1.5-5% 32%
Developer Tools 3.8% 2-6% 37%
B2B SaaS 3.9% 2-7% 37%
Logistics / Supply Chain 4.0% 2-6% 38%
Healthcare / Healthtech 4.1% 2-6% 39%
HR / People Tech 4.5% 2.5-7% 42%
Real Estate Tech (this page) 5.0% 3-8% 46%
Marketing / Adtech 5.2% 3-8% 47%
E-commerce / Retail SaaS 5.6% 3-8% 49%
B2C SaaS 6.7% 4-9% 56%
Media / Entertainment 7.2% 5-10% 58%
Edtech 7.8% 5-11% 62%

Monthly Churn Rate Distribution

Edtech
7.8%
Media / Entertainment
7.2%
B2C SaaS
6.7%
E-commerce / Retail SaaS
5.6%
Marketing / Adtech
5.2%
Real Estate Tech
5.0%
HR / People Tech
4.5%
Healthcare / Healthtech
4.1%
Logistics / Supply Chain
4.0%
B2B SaaS
3.9%
Developer Tools
3.8%
Fintech / Banking SaaS
3.2%
Cybersecurity
2.9%

Frequently Asked Questions

A good monthly churn rate for Real Estate Tech is under 3.5%. The median across the industry is 5.0%, with a typical range of 3-8% monthly. Companies consistently above 6% should treat retention as an urgent priority.

Annual churn is calculated using compound monthly churn: Annual = 1 - (1 - monthly rate)^12. With Real Estate Tech's 5.0% median monthly churn, this compounds to approximately 46% annually. This means roughly 46% of your customer base turns over each year without intervention. Use our churn rate calculator to compute your own.

The overall SaaS median monthly churn is approximately 4.7%. Real Estate Tech at 5.0% is above average, reflecting the particular challenges this industry faces. The lowest-churn industry is cybersecurity at 2.9%, and the highest is edtech at 7.8%. Browse all industries on our churn rate by industry page.

If your churn rate is above 6% monthly, start by identifying the primary churn driver using our Churn Risk Quiz. Then use the Priority Finder to determine which retention lever to pull first. The recommended experiments above are specifically selected for Real Estate Tech retention challenges.

Ready to beat the Real Estate Tech benchmark?

Use our tools to calculate your exact churn rate, diagnose the root cause, and run experiments to bring it below 3.5% monthly.