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

FastTony.es's Overall Rating Summary

  • Average Rating:4.6/5
  • Total Reviews:28 reviews
  • Sources:G2, Facebook
  • Last updated:August 5, 2025

FastTony.es Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.6/5
25+ reviews05.08.25
Facebook logoFacebook
5/5
3+ reviews06.03.25

What is FastTony.es?

FastTony offers a suite of marketing automation tools including FastTony INSTA, SMART, Post, CallApp, CallMe, Lead, Creator, and Bot, designed to automate and optimize advertising on Facebook and Instagram. Key features include AI-driven ad targeting, automatic campaign creation, audience segmentation, and integration with various platforms like SMS API and FreshMail. The tools aim to enhance business growth by automating ad management, lead generation, and customer engagement, providing significant cost savings and efficiency improvements.

🤔 FastTony.es vs Competitors: How Do Ratings Compare?

Check out FastTony.es Alternatives

Frequently Asked Questions

How trustworthy is FastTony.es?

According to G2 review site FastTony.es holds rating of 4.6/5, indicating a strong level of trust and satisfaction among users as of August 2025.

How many stars is FastTony.es rated?

FastTony.es has an average star rating of 4.6 out of 5 stars based on average of 28 reviews as of August 2025.

Where does the rating data come from?

The ratings are pulled from FastTony.es 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 FastTony.es 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.