🆚 Kount vs. Signifyd
- 📈 Signifyd is three times more popular than Kount.
- 🌎 Signifyd is more popular in the United States, the United Kingdom, and Canada.
- 🌎 Kount is more popular in Mexico, Poland, and Peru.
Type
About
Kount is a comprehensive suite of machine learning-based fraud detection and prevention solutions for e-commerce businesses.
It combines supervised and unsupervised learning to assign real-time risk scores to interactions, supports device fingerprinting, IP and proxy detection, and enables custom rules and flexible policy engines to block fraud, reduce false positives, prevent new account abuse, and manage chargebacks.
Signifyd is an e-commerce fraud protection platform that automatically reviews orders for fraud and recommends which orders to ship and which to reject.
It uses machine learning and big data from its Commerce Network to generate risk assessments in real time, offers a 100 percent financial guarantee against fraudulent chargebacks for approved orders, and supports workflow automation (capture payment, cancel order, void authorization, restock) based on its decision.
Headquarters
Pricing
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- 🥉 Third most popular in Mexico in the Fraud Prevention category.
- ⭐ 10th most popular in the United Kingdom in the Fraud Prevention category.
- 🔥 12nd most popular in Canada in the Fraud Prevention category.
- 🔥 12nd most popular in Australia in the Fraud Prevention category.
- 🔥 14th most popular in the United States in the Fraud Prevention category.
- ⭐ 4th most popular in Canada in the Fraud Prevention category.
- ⭐ 5th most popular in the United States in the Fraud Prevention category.
- ⭐ 6th most popular in Italy in the Fraud Prevention category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,370,405 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.