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

Vivun's Overall Rating Summary

  • Average Rating:4.7/5
  • Total Reviews:114 reviews
  • Sources:G2, Capterra, Trustradius
  • Last updated:September 1, 2025

Vivun Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.7/5
107+ reviews04.05.25
Capterra logoCapterra
5/5
3+ reviews01.09.25
Trustradius logoTrustradius
5/5
4+ reviews01.09.25

What is Vivun?

Vivun offers an AI-powered Sales Engineering Platform called VIVUN ONE, designed to scale Sales Engineers, influence product roadmaps, and provide analytics for optimization. Key features include PreSales Operations to enhance team capacity, Product-Field Alignment to prioritize product development, and Xpert Analytics for data-driven decision-making. The platform aims to increase team capacity by 3x, improve tech win rates by 15%, and reduce sales cycle time by 25%.

🤔 Vivun vs Competitors: How Do Ratings Compare?

Check out Vivun Alternatives

Frequently Asked Questions

How trustworthy is Vivun?

According to G2 and Trustradius review sites Vivun holds ratings of 4.7/5 and 5/5 respectively from 111 reviews, indicating a strong level of trust and satisfaction among users as of September 2025.

How many stars is Vivun rated?

Vivun has an average star rating of 4.7 out of 5 stars based on average of 114 reviews as of September 2025.

Where does the rating data come from?

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

How overall average rating for Vivun 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.