New Features Announcement: Card Testing & Known Bad Actor Prevention, Employee Abuse, and Yofi Telemetry SDK!

Yofi has been working closely with many of our partners to extend our customer intentionality platform. Our goal is to better identify bad actors, protect the entire business, provide a comprehensive 360-degree view of customer interactions, and reduce the impact of anomalies and leakages.

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These are some of the exciting releases and value provided to our partners:

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Preventing Known Bad Actors from Purchasing and Card Testing

We have significantly extended our cluster and telemetry capabilities to combat Card Testing and prevent known bad actors from making purchases. By identifying individuals with a history of chargebacks, we can now block these bad actors from entering their credit card information. This reduces the risk of fraud by preventing the creation of alias profiles to bypass blocklists, potential chargebacks, and hours of customer support time.  

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Additionally, we've introduced Card Testing for our customers, which has led to:

• A significant reduction in chargebacks
• Improved authorization rates
• Fewer issues with payment providers
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Customer Impact - we prevented 10,000s card testers and known bad actors, who were continuously targeting brands with fake and alias accounts, leading to many chargebacks and negatively impacting authentication rates. With the customer blocking tags, we helped brands identify these bad actors and all of their alias profiles, who were bypassing hardcoded blocking, such as email addresses, IPs, or shipping addresses, through our clustering and identity mapping. This saved brands hours of work and reduced the risk of suspicious orders.    

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Employee Abuse Identification

The National Retail Federation estimates internal employee theft accounts for about 25% of shrink losses, with an average internal apprehension case valued at $1,203.16. To address this, we have made it easy to identify employee abuse, assisting the Loss Prevention/Risk team in identifying employee abuse and theft.
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Key highlights include:

• Detection of warehouse anomalies and suspicious employee behavior
• Identification of unauthorized reselling and return fraud
• Mitigation of collusion between employees and Organized Retail Crime (ORC) contacts
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Customer Impact: We helped a large multinational brand uncover employees exploiting discounts and returns to unauthorizedly resell items. Our flagging system identified these individuals, who had been abusing the brand for months to hours.

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Yofi Telemetry with SDK

Yofi Telemetry now offers an extensive range of signals and features to decode digital body language. This includes gyroscopic, network, and other telemetry signals. Our partners have utilized these raw signals to:

• Enhance internal fraud detection
• Predict purchaser likelihood
• Prevent account takeover attempts

Customer Impact: We have helped a payment process and real-estate company significant improve their fraud detection and personalization engines by using the advanced telemetry signals captured by Yofi. Our telemetry data has significantly boosted the performance of fraud and account takeover models, preventing bots from spamming account creation and accurately predicting the likelihood of conversion. 

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Bot Blocker 2.0

Our Bot Blocker 2.0 has been successfully deployed with several customers, providing enhanced control over bot management. Key features include:

• Deferred bot actions
• Enabled sell-through mechanisms
• Effective mitigation of millions of bots bypassing Shopify and other platform APIs

Customer Impact: We have successfully prevented millions of bots, providing retailers with better control over bot prevention. This enhanced control has led to a significant improvement in customer experience and retention, resulting in a 27% repurchase rate for new purchases of protected products. 

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Integration into POS & Warehouse Management Solutions

Yofi now supports a broader range of POS and Warehouse Management Solutions to tackle online, in-store, employee, and customer abuse. Our advanced clustering technology provides a comprehensive 360-degree view of customers, offering actionable recommendations to:

• Improve return abuse detection
• Identify anomalies within specific stores
• Enhance logistic efficiencies
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These integrations are designed to optimize and grow customer profitability and spending.
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Customer Impact: We have identified individuals exploiting returns in-store and detected employee abuse within warehouses by integrating our solutions into POS and warehouse management systems. This integration provides customer risk scores, enabling retailers to set pricing limits and quotas, saving millions in potential losses through proactive alerting.