Optimize Fraud for Maximum Profit Efficiency
This informative panel of experts from Capital One, Chargebacks 911, and Microsoft Fraud Protection explores ways of using technology to effectively fight fraud while increasing acceptance rates and lowering chargeback rates.
By leveraging Adaptive AI, stakeholders can take proactive decisioning to pre-empt chargebacks and bank declines while fighting fraud more effectively.
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Collaboration is an important part of modern eCommerce, but it’s not always prioritized across industries and verticals the way it should be.
This presentation explores the results of a positive collaboration between a card network, issuer, and merchant, and details how it impacted approval rates by more than 10 p.p. This, in turn, directly reflected in sales and better Customer Experience, aligning with all stakeholder’s goals.
It’s critical to have solid key performance indicators when it comes to dispute management, as dispute timelines, cycles, and requirements vary by card brands.
A "one size fits all" dashboard approach does not work in comprehensive chargeback management.
This presentation from Priceline covers real time dashboards including, but not limited to- quick glance KPIs, threshold alerts, dispute receipt forecasting, acceptance percentages, analyst performance, reason code trending, reclassification of dispute reason codes (where applicable) and others.
The presentation also cites several critical data elements to provide 'at a glance' dispute performance metrics to instantly highlight concerning trends and/or validate process stability.
The dispute and chargeback process has been profoundly disrupted in the past two years. Stakeholders are seeing increased efficiency, reduced cost, and a greatly improved customer experience.
Consumers are expecting exceptional service, but sometimes transactions still aren’t smooth. Fraud and first-party misuse lead to unnecessary disputes in the ecosystem and increased burden on all stakeholders.
In some instances, the problem can be solved at the pre-dispute stage, avoiding a chargeback. By utilizing technology at each stage of the transaction life cycle, data can be collected to strengthen prevention and resolution methods. Utilizing transaction data transparency and automated resolution can have a significant impact on the dispute process, and positively impact the cardholder with immediate decision on the inquiry.
Understanding the data around chargebacks is the first step toward reducing them.
In this presentation, subject matter experts review the latest industry data that reveals the global impact of digital acceleration, explores the latest disputes, chargebacks, and fraud trends from all over the world, and highlights the many successful strategies merchants have implemented to reduce chargebacks, fraud, and more.
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Chargebacks are evolving, but is the situation getting better? What’s changed for merchants over the last few months? And what new threats are they seeing just over the horizon?
Based on the upcoming Chargeback Field Report 2022, this free webinar offers a realistic look at the current state of chargebacks. See what merchants across all industries are saying about the problems they’re dealing with now, and what they’re doing to protect their future revenue.
Topics covered will include:
- Rising fraud threats: Where and how merchants are getting hit
- Ongoing shifts in consumer shopping behaviors
- How technology is changing fraud and fraud-fighting
- Proactively dealing with the surging threat of friendly fraud
After attending this webinar, attendants will have a better understanding of how chargebacks are affecting the industry and how to utilize this information to protect their business.
Now, imagine a world where a chargeback claim would immediately and automatically be met with precise geolocation data as compelling evidence. Nothing is more compelling than proving that the disputed charge was actually made from the billing address, from the same location and unique device where previously undisputed charges were consistently made, all while connected to the same WiFi network and IP address.
As chargebacks rise domestically and spread globally, merchants must leverage all available data points, including geolocation, to effectively dispute chargeback claims.
Relationships are hard. But for a merchant, navigating your customer relationships can be almost as hard as understanding the Payment’s Ecosphere. But what if the hard-earned knowledge you already possess about how payments work helped you understand how to navigate, strengthen, and retain your important client relationships? Join Bill Bacon, Director of Client Success with Chargeback Gurus on a journey though the lessons we all can learn from Emotional Payments.
- Strengthen interactions both personal and professional
- Identify ways to bolster retention with existing client base and attract new customer connections
- Navigate potential fraudulent associations
We have met with many cases where analysts not only doubt themselves in their decision but also discouraged to take information into account that may not be considered as useful – not to mention the rise of Machine Learning in fraud prevention. Is our work that we do manually truly outdated?
Through examples we will re-explore the tools that we have at our expense and discuss how we can effectively use them in relation, from articulating sentences, to defining use cases and relying on AI.
- To find or regain the interest in the beauty of fighting fraud – making decisions that would be the key to stop the malicious activity yet keeping the mind open to changes.
- Utilising every aspect of the tool that are available and considering ways that we may have disregarded before and still could be useful, ultimately a boost for the year 2022 and to remain on the top of defense against harmful users.
In this brief paper, PerimeterX provides examples of good bots and bad bots, then examines seven telltale ways in which businesses can help spot whether they are being hit by traffic from bad bots. Seven capabilities to detect and mitigate bad bots are presented next, with a brief look at PerimeterX's Bot Defender solution rounding out the document.