This page breaks down LeaseHawk ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand LeaseHawk’s overall reputation. This data-driven overview will show you exactly how LeaseHawk is rated - including how it compares to competitors.

LeaseHawk's Overall Rating Summary

  • Average Rating:4.3/5
  • Total Reviews:260 reviews
  • Sources:G2, Capterra, Facebook
  • Last updated:September 1, 2025

LeaseHawk Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.3/5
249+ reviews01.09.25
Capterra logoCapterra
0/5
0+ reviews14.08.24
Facebook logoFacebook
5/5
11+ reviews01.09.25

What is LeaseHawk?

LeaseHawk offers comprehensive AI solutions for multifamily property management, including the LeaseHawk Performance Platform and ACE™ Virtual Leasing Assistant. The Performance Platform provides tools for call tracking, CRM, AI lead analysis, agent performance, and reporting & BI to improve marketing effectiveness and employee performance. ACE™ is an autonomous, omnichannel AI leasing solution that engages and nurtures renters 24/7, enhancing productivity and providing a personalized experience.

🤔 LeaseHawk vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is LeaseHawk?

According to G2 review site LeaseHawk holds rating of 4.3/5, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is LeaseHawk rated?

LeaseHawk has an average star rating of 4.3 out of 5 stars based on average of 260 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from LeaseHawk public reviews pages on platforms: G2, Capterra, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for LeaseHawk is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.