mFilterIt Ratings (September 2025)
This page breaks down mFilterIt 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 mFilterIt’s overall reputation. This data-driven overview will show you exactly how mFilterIt is rated - including how it compares to competitors.
mFilterIt's Overall Rating Summary
- Average Rating:4.4/5
- Total Reviews:38 reviews
- Sources:G2, Gartner
- Last updated:September 1, 2025
G2
GartnerWhat is mFilterIt?
mFilterIt offers a range of solutions including Valid8 for ad traffic validation to protect campaigns from ad fraud, mScanIt for digital commerce intelligence to turn insights into action, and Pace for media brand safety to monitor ads and avoid unsafe content. Sentinel+ provides brand protection from digital threats, Effcent ensures brand integrity with trusted affiliates and influencers, and Tickr offers AI-powered assistance for creative and content compliance. These solutions help brands validate ad traffic, optimize marketing efforts, and protect brand assets, ensuring a safe and efficient digital environment.
🤔 mFilterIt vs Competitors: How Do Ratings Compare?
Check out mFilterIt AlternativesFrequently Asked Questions
How trustworthy is mFilterIt?
According to G2 and Gartner review sites mFilterIt holds ratings of 4.4/5 and 4/5 respectively from 38 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is mFilterIt rated?
mFilterIt has an average star rating of 4.4 out of 5 stars based on average of 38 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from mFilterIt public reviews pages on platforms: G2, Gartner. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for mFilterIt 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.