This page breaks down Local Logic 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 Local Logic’s overall reputation. This data-driven overview will show you exactly how Local Logic is rated - including how it compares to competitors.

Local Logic's Overall Rating Summary

  • Average Rating:4.8/5
  • Total Reviews:27 reviews
  • Sources:G2, Capterra, Facebook
  • Last updated:September 1, 2025

Local Logic Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.9/5
15+ reviews01.09.25
Capterra logoCapterra
0/5
0+ reviews14.08.24
Facebook logoFacebook
4.7/5
12+ reviews01.09.25

What is Local Logic?

Local Logic offers granular location intelligence solutions tailored for real estate, accessible via APIs and data products. Key features include Property Search, Listing Engagement, Neighborhood Discovery, Agent Expertise, Development Impact, Go/No-Go Analysis, Investment Strategy, City Planning, and Market Suitability. Their extensive dataset, comprising over 100B data points from 3,000 sources, powers insights for 250M+ addresses across the US and Canada.

🤔 Local Logic vs Competitors: How Do Ratings Compare?

Check out Local Logic Alternatives

Frequently Asked Questions

How trustworthy is Local Logic?

According to G2 review site Local Logic holds rating of 4.9/5, highlights excellent reputation and user approval as of September 2025.

How many stars is Local Logic rated?

Local Logic has an average star rating of 4.8 out of 5 stars based on average of 27 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from Local Logic 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 Local Logic 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.