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

PrediCX's Overall Rating Summary

  • Average Rating:4.6/5
  • Total Reviews:31 reviews
  • Sources:G2, Capterra, Getapp
  • Last updated:August 5, 2025

PrediCX Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.7/5
11+ reviews05.08.25
Capterra logoCapterra
4.6/5
10+ reviews05.08.25
Getapp logoGetapp
4.6/5
10+ reviews05.08.25

What is PrediCX?

PrediCX is an AI platform that transforms customer interactions into insights and automates processes to optimize customer experience and services across all channels. It offers features such as predictive insights, automatic coaching, QA for agents, and triage of queries from digital channels, leading to improved CSat, NPS, sales, and reduced churn and AHT. The platform connects to CRM, Service Desk, or Data Warehouse, and generates actionable outputs to enhance KPIs.

🤔 PrediCX vs Competitors: How Do Ratings Compare?

Check out PrediCX Alternatives

Frequently Asked Questions

How trustworthy is PrediCX?

According to G2 and Capterra review sites PrediCX holds ratings of 4.7/5 and 4.6/5 respectively from 21 reviews, indicating a strong level of trust and satisfaction among users as of August 2025.

How many stars is PrediCX rated?

PrediCX has an average star rating of 4.6 out of 5 stars based on average of 31 reviews as of August 2025.

Where does the rating data come from?

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

How overall average rating for PrediCX 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.