Software Alternatives, Accelerators & Startups

Riskified VS V12 Data

Compare Riskified VS V12 Data and see what are their differences

Riskified logo Riskified

eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.

V12 Data logo V12 Data

V12 Data offers rich data sets with verified addresses and emails for personalized marketing campaigns.
  • Riskified Landing page
    Landing page //
    2023-10-20
  • V12 Data Landing page
    Landing page //
    2023-09-22

Riskified

Release Date
2012 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Assaf Feldman
Employees
500 - 999

Riskified videos

Riskified Educational Webinar: Automating The Fraud Review Process (Summer Boot Camp - 2nd Webinar)

More videos:

  • Review - Riskified Educational Webinar: Optimal Manual Review (Summer Boot Camp - 3rd Webinar)
  • Review - Riskified : Nanoleaf case study

V12 Data videos

Audiences In Motion New York: Ken Zachmann, V12 Data

Category Popularity

0-100% (relative to Riskified and V12 Data)
eCommerce
100 100%
0% 0
Ad Networks
0 0%
100% 100
Fraud Prevention
100 100%
0% 0
Small Business
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Riskified and V12 Data, you can also consider the following products

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

Lotame - Make your data actionable, learn about your most valuable customers, improve ROI by targeting the right audience and increase relevance across screens.

Kount - eCommerce fraud detection & prevention

Adobe Audience Manager - Adobe Audience Manager is a data management platform that integrates online and offline data to deliver a unified view of all your audiences

Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.

Google Audience Center - 3 votes and 6 comments so far on Reddit