Kogan Boosts Approval Rates to 98% and Saves $1.5M Annually with Riskified AI

Quick Summary

Kogan.com partnered with Riskified to implement ecommerce fraud prevention solutions, achieving transaction approval rates over 98%. By leveraging AI-powered identity insights, the Australian retailer identified $1.5 million in annual savings, effectively reducing policy abuse and manual chargeback management while enhancing the overall customer shopping experience.

How Does Kogan.com Solve Fraud and Policy Abuse?

Ecommerce fraud prevention is a critical operational pillar for Kogan.com, which handles massive transaction volumes as an online-only retailer. By integrating Riskified’s Chargeback Guarantee model, Kogan shifted from manual reviews to AI-powered decisioning. This transition allows the retailer to distinguish between fraudulent actors and legitimate customers with high precision, even in high-risk card-not-present scenarios.

• 98%+ approval rates achieved across high-value and high-risk transaction categories.
• $1.5 million saved annually by identifying serial policy abusers and promotion misuse.
• Reduced manual overhead by automating dispute management and chargeback workflows.

What Results Has Riskified Technology Delivered for Retailers?

The implementation of Riskified’s Identity Engine provided Kogan with deep visibility into customer-level profitability and behavioral signals. By training machine learning models on specific transaction data, Riskified optimized decisions for first-time customers and high-ticket items. This data-driven approach ensured that chargeback rates remained well below AusPayNet thresholds, protecting the brand's financial health and merchant standing.

How Does AI Improve the Customer Checkout Experience?

By reducing false-positive fraud signals, Kogan ensures that legitimate shoppers face zero friction during checkout. The Identity Explore capabilities allow the system to understand customer intent rather than just flagging risk. This enables Kogan to scale its operations confidently during peak shopping periods like Black Friday without increasing the operational complexity of their internal fraud teams.

FF NEWS TAKE:

This partnership moves the needle by proving that ecommerce fraud prevention is no longer just about stopping "bad" actors—it is about maximizing revenue through precision. Kogan’s $1.5 million saving highlights that policy abuse management is the next frontier for retail profitability. Riskified’s ability to guarantee decisions provides the financial certainty large-scale merchants need to abandon conservative, friction-heavy legacy fraud filters in favor of aggressive growth.