Guest: Simon Taylor
Let’s break this down.
In this episode of Fraudology, I’m joined by Simon Taylor, head of strategy and content at Sardine. Simon has spent years studying how financial systems, fraud ecosystems, and payment infrastructure actually behave in the real world. And that perspective makes this conversation especially interesting.
Because here’s the thing.
A lot of companies still think about fraud purely as a loss prevention problem. Something that sits inside risk teams. Something that shows up as chargebacks or operational cost. But when you zoom out and look at how ecommerce actually works, fraud prevention is deeply tied to revenue integrity.
And that’s where this conversation goes.
Simon and I talk about why fraud prevention needs to evolve beyond simply stopping bad transactions. We dig into the bigger question: how do companies protect legitimate revenue, protect customers, and still maintain a smooth buying experience? Because if fraud controls create too much friction, you lose good customers. And that matters just as much as stopping fraud.
In simple terms, revenue integrity means protecting the revenue your business should legitimately earn. That includes preventing fraud losses, but it also includes preventing unnecessary declines, protecting customer trust, and making sure the systems meant to stop fraud aren’t quietly harming growth.
Here is what that revenue integrity mindset means in practice:
- fraud prevention teams working closely with product, payments, and marketing teams
- measuring fraud outcomes in terms of revenue retention and customer experience
- using metrics like revenue attachment instead of only tracking chargebacks
- aligning fraud controls with broader business goals instead of isolated risk metrics
What you’ll hear in this episode:
- Why e-commerce fraud prevention strategy needs to align with revenue integrity
- How the revenue attachment metric reframes fraud prevention outcomes
- Why chargeback reduction alone does not capture true fraud business impact
- How AI-enabled fraud sophistication is increasing pressure on merchants
- Why collaboration across fraud, product, and marketing teams matters
You should listen to this episode if you:
- Lead fraud prevention or risk operations at an ecommerce company
- Work in payments, marketplaces, or digital commerce platforms
- Are trying to explain fraud prevention value to executives or CFOs
- Want stronger fraud prevention metrics that connect to revenue outcomes
- Care about balancing fraud protection with customer experience
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Episode notes & key takeaways
Revenue integrity reframes how companies think about fraud prevention
At first glance, fraud prevention looks like a cost center. Fraud teams stop bad transactions, investigate chargebacks, and reduce losses.
But that framing misses something important.
The real goal isn’t just stopping fraud. It’s protecting legitimate revenue. And that’s where the idea of revenue integrity comes in. Instead of measuring success only by fraud losses, companies start asking a broader question: are we protecting the revenue we should be earning?
This includes preventing fraudulent transactions, but it also includes preventing unnecessary declines that drive away legitimate customers.
Operational indicators may include:
- escalation pathways tied to unnecessary decline rates
- cross-signal correlation between fraud rules and lost revenue events
- fraud marketing collaboration to evaluate checkout friction
- alignment between fraud teams and product teams around conversion impact
- transaction risk analysis measuring approval quality instead of volume
When fraud prevention aligns with revenue integrity, the conversation shifts. Fraud teams stop being viewed as a cost center and start being seen as revenue protection partners.
Revenue attachment metrics create CFO-friendly fraud KPIs
One challenge fraud leaders often face is explaining fraud performance in terms executives care about. Chargebacks and fraud rates matter operationally, but they don’t always translate clearly to revenue impact.
That’s where Simon introduces the idea of revenue attachment.
The key thing to understand is that revenue attachment measures how much legitimate revenue remains connected to a business after fraud and operational losses are considered. In other words, it connects fraud outcomes directly to financial performance.
Operational indicators may include:
- revenue attachment metric tracking retained transaction revenue
- chargeback revenue retention analysis tied to fraud program performance
- fraud prevention metrics that matter for finance and marketing teams
- cross-signal correlation between approval rates and long-term revenue
- bottom-line fraud impact measurement tied to risk model performance
And this is where things get interesting. When fraud teams can show how fraud controls protect revenue rather than simply prevent losses, the conversation with CFOs and leadership becomes much easier.
AI-enabled fraud sophistication is raising the bar for merchants
Another theme we discuss in this episode is the increasing sophistication of fraud activity. AI tools are changing how criminals operate, making it easier to automate attacks, test stolen payment credentials, and probe merchant systems at scale.
At first glance, many of these attacks still resemble familiar patterns. Credential abuse, stolen card fraud, and marketplace abuse have all existed for years.
But the scale and speed are changing.
AI-enabled fraud sophistication allows attackers to run larger testing campaigns, adapt quickly to merchant defenses, and blend fraudulent activity with legitimate behavior patterns. That makes detection harder.
Operational indicators may include:
- payment method injection events linked to credential abuse infrastructure
- behavioral monitoring detecting AI bot shopping behavior
- network analysis identifying coordinated attack infrastructure
- fraud threat intelligence monitoring across marketplace environments
- escalation pathways triggered by rapid attack pattern shifts
This is exactly why modern fraud prevention technology needs to evolve alongside the threats it’s trying to detect.
Payment infrastructure limitations expose gaps in fraud defenses
One of the more candid parts of this conversation focuses on the limitations many merchants face with their existing payment infrastructure. Payment service providers and legacy fraud tools often struggle to provide the flexibility fraud teams actually need.
And that’s a problem.
Because ecommerce fraud prevention strategy today requires rapid experimentation, data access, and flexible controls that can adapt to changing attack patterns. When systems are rigid or siloed, fraud teams lose valuable response time.
Operational indicators may include:
- product and fraud alignment around detection architecture
- merchant fraud optimization using flexible decision engines
- collaborative fraud strategy between payments and risk teams
- real-time transaction risk analysis using enriched signals
- customer retention and fraud controls designed to reduce friction
The key thing to understand is that fraud prevention is no longer just a defensive function. It’s a strategic capability tied directly to business outcomes.
And that’s the core theme of this conversation. When fraud prevention aligns with revenue integrity, companies don’t just stop fraud. They protect growth.
