Chargeback Metrics and Management
The Chargeback Metrics and Management course provides a comprehensive understanding of chargebacks, their role in consumer protection, and their impact on merchants. It covers the chargeback life cycle, roles of key stakeholders, and essential metrics like chargeback ratio and win rate to guide performance improvement. Participants learn effective prevention strategies, such as fraud detection tools, clear communication, and proactive customer service, to minimize disputes and financial losses.
MRC Members: USD $75 (plus applicable taxes)
Non-members: USD $150 (plus applicable taxes)
The course highlights advanced technologies like AI, analytics, and automation for streamlining chargeback processes and improving resolution success. It also emphasizes regulatory compliance, dispute response strategies, and best practices, addressing global privacy laws and card network rules to help merchants maintain good standing and avoid penalties. Future trends, including blockchain, changing consumer behaviors, and stricter data regulations, are explored to equip participants for the evolving chargeback landscape.
FAQs
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- eCommerce payment managers needing to ensure transaction security through technologies like tokenization.
- Data security specialists in eCommerce looking to deepen their understanding of tokenization as a security measure.
- Fraud prevention experts needing knowledge of advanced security measures, like tokenization.
- Compliance officers ensuring that eCommerce operations adhere to payment security standards and regulations.
- This course may also benefit eCommerce business owners, financial analysts, customer experience managers, IT and technical professionals in online retail.
- eCommerce payment managers needing to ensure transaction security through technologies like tokenization.
- Data security specialists in eCommerce looking to deepen their understanding of tokenization as a security measure.
- Fraud prevention experts needing knowledge of advanced security measures, like tokenization.
- Compliance officers ensuring that eCommerce operations adhere to payment security standards and regulations.
- This course may also benefit eCommerce business owners, financial analysts, customer experience managers, IT and technical professionals in online retail.
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- Program Level: Basic
- Program Field of Study: Specialized Knowledge
- Program Delivery Method: QAS Self Study
- CPE Credits: 1.4
- Advanced Preparation and/or Pre-requisites: Payment Essentials recommended.
- Program Level: Basic
- Program Field of Study: Specialized Knowledge
- Program Delivery Method: QAS Self Study
- CPE Credits: 1.4
- Advanced Preparation and/or Pre-requisites: Payment Essentials recommended.
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- Identify how generative AI technologies are being exploited in modern identity fraud schemes.
- Explain the limitations of traditional fraud detection systems.
- Describe how generative AI enables new forms of identity fraud.
- Explain how AI tools enhance account takeover and impersonation tactics.
- Recognize how generative AI is being used in real-world identity fraud cases.
- Describe the risks posed by cross-border GenAI-enabled fraud.
- Identify advanced detection methods for combating GenAI-based identity fraud.
- Explain the importance of layered authentication strategies and real-time monitoring in defending against AI-enhanced identity threats.
- Understand the regulatory implications of using AI in fraud detection.
- Identify compliance risks posed by generative AI and how to align fraud prevention strategies with data privacy, transparency, and legal defensibility.
- Recognize emerging GenAI fraud threats and how LLMs may be weaponized at scale.
- Identify tools, training, and strategies to prepare teams and build ethical, adaptive AI defenses.
Please allow 1.5–2.0 hours to complete this course. The course culminates with a comprehensive final assessment to evaluate the learner’s comprehension of the material. Upon successfully completing the final assessment, participants will be awarded a certificate of completion representing their proficiency in the subject matter.
- Identify how generative AI technologies are being exploited in modern identity fraud schemes.
- Explain the limitations of traditional fraud detection systems.
- Describe how generative AI enables new forms of identity fraud.
- Explain how AI tools enhance account takeover and impersonation tactics.
- Recognize how generative AI is being used in real-world identity fraud cases.
- Describe the risks posed by cross-border GenAI-enabled fraud.
- Identify advanced detection methods for combating GenAI-based identity fraud.
- Explain the importance of layered authentication strategies and real-time monitoring in defending against AI-enhanced identity threats.
- Understand the regulatory implications of using AI in fraud detection.
- Identify compliance risks posed by generative AI and how to align fraud prevention strategies with data privacy, transparency, and legal defensibility.
- Recognize emerging GenAI fraud threats and how LLMs may be weaponized at scale.
- Identify tools, training, and strategies to prepare teams and build ethical, adaptive AI defenses.
Please allow 1.5–2.0 hours to complete this course. The course culminates with a comprehensive final assessment to evaluate the learner’s comprehension of the material. Upon successfully completing the final assessment, participants will be awarded a certificate of completion representing their proficiency in the subject matter.
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- MRC Members: USD $75 (plus applicable taxes)
- Non-members: USD $150 (plus applicable taxes)
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