Dabadu XRM Ratings (September 2025)

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

Dabadu XRM's Overall Rating Summary

  • Average Rating:5.0/5
  • Total Reviews:128 reviews
  • Sources:G2, Facebook
  • Last updated:September 1, 2025

Dabadu XRM Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
5/5
127+ reviews01.09.25
Facebook logoFacebook
5/5
1+ reviews01.09.25

What is Dabadu XRM?

Dabadu offers a suite of products including Dabadu Nest, XRM, Lead Intelligence, Inventory Management, and Marketing AI, designed to manage automotive dealerships. Key features include lead management, real-time communication, inventory management, DMS integrations, lender and warranty management, document management, and business intelligence. Dabadu's platform empowers teams to manage the entire sales process from one screen, enhancing business operations with intuitive dashboards and AI-driven insights.

🤔 Dabadu XRM vs Competitors: How Do Ratings Compare?

Check out Dabadu XRM Alternatives

Frequently Asked Questions

How trustworthy is Dabadu XRM?

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

How many stars is Dabadu XRM rated?

Dabadu XRM has an average star rating of 5.0 out of 5 stars based on average of 128 reviews as of September 2025.

Where does the rating data come from?

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

How overall average rating for Dabadu XRM 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.