Revenue attach rate: A new KPI you should be measuring with Simon Taylor
Today we are talking about revenue attach rate and why fraud teams need better ways to explain the business impact of what they do.
I sat down with Simon Taylor, head of content at Sardine and someone a lot of people in fintech and fraud already know, to talk about one of the more useful ideas I’ve heard in a while. The idea is simple, but it changes how fraud teams think about measurement. Instead of only focusing on loss prevention, chargeback rates, or false positives, what if teams also got better at measuring how much legitimate revenue their fraud strategy helps protect, enable, or retain?
That is where revenue attach rate comes in.
At first glance, this may sound like a marketing KPI or a growth metric that has nothing to do with fraud. But when you look closer, it is actually a very practical way to think about fraud prevention ROI. Because fraud teams do not just stop bad transactions. They also influence approvals, customer trust, repeat purchase behavior, and whether the business is accidentally blocking good customers while trying to stop bad ones.
And that matters.
Because if fraud teams only measure what they prevent, they may miss what they preserve. And sometimes they may even miss what they are costing the business when controls are too blunt, too isolated, or too disconnected from product and growth goals.
This episode gets into revenue prevention vs fraud prevention, fraud and marketing alignment, fraud and product collaboration, customer retention and fraud, and why better fraud team business metrics can help teams make a much stronger case for investment and smarter decision-making.
What you’ll hear in this episode:
- Why revenue attach rate is a useful KPI for understanding fraud impact on profitability
- How revenue prevention vs fraud prevention creates a more honest conversation about fraud tradeoffs
- Why fraud KPIs for ecommerce need to include more than losses and chargebacks
- What fraud and product collaboration looks like when teams are trying to improve measurable fraud outcomes
- How data-driven fraud optimization can support customer trust and revenue growth at the same time
You should listen to this episode if you:
- Lead or work on a fraud team and want stronger fraud prevention ROI measurement
- Need better fraud team business metrics to make a fraud prevention business case internally
- Care about conversion-friendly fraud prevention and payment approval and fraud balance
- Want a clearer fraud operations KPI framework tied to profit protection, not just loss reduction
- Work closely with product, growth, marketing, or finance and want better alignment around fraud outcomes
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Episode notes & key takeaways
Before we double click on the notes, I just want to say that my marketing team told me I need to structure these notes a certain way in order for people to find my podcast. The below is a bit of that.
Why revenue attach rate changes how fraud teams talk about value
Let’s break this down.
A lot of fraud teams still measure success in a very narrow way. How much fraud was blocked. How many chargebacks were avoided. How much abuse was caught. And yes, those things matter. A lot. But if that is the only scorecard, the business may still miss a huge part of the picture.
That is where revenue attach rate becomes interesting.
Because it shifts the conversation from “what did fraud stop?” to “what did the fraud strategy help preserve or enable?” At first glance, that may sound like semantics. It is not. If better fraud decisions improve approvals, protect good customers from unnecessary friction, or help keep trusted customers transacting, then fraud is influencing revenue too. Not just losses.
And that matters.
Because once teams start measuring their contribution to legitimate revenue, they get closer to the real business impact of the work. That creates a more useful fraud prevention business case than just saying “we stopped bad things.”
Here is what that changes:
- Revenue attach rate helps fraud teams connect their work to real business outcomes
- Fraud prevention ROI becomes easier to explain when revenue preservation is part of the story
- Fraud team business metrics get stronger when they include both protection and performance
- Bottom-line fraud strategy works better when teams can show what they saved and what they enabled
Why revenue prevention vs fraud prevention is an important distinction
Here’s what’s actually happening.
One of the most useful ideas in this conversation is the distinction between revenue prevention vs fraud prevention. Because sometimes teams think they are preventing fraud when, in reality, they are also preventing legitimate customers from completing orders, returning to the platform, or trusting the brand enough to try again.
That is a problem.
If a control is technically effective at catching risky transactions but also wipes out a meaningful amount of good revenue, then the business needs to understand that tradeoff clearly. Not because the control is automatically wrong. But because good fraud strategy is not only about stopping abuse. It is also about making smart decisions on where friction belongs and where it does not.
Right.
That is the work.
Fraud teams are often asked to protect the business without harming growth. That can sound like an unfair ask, but it is the reality. So the more clearly teams can distinguish fraud prevention from accidental revenue prevention, the better they can optimize for both risk and customer experience.
- Revenue prevention vs fraud prevention is a critical distinction for healthy fraud strategy
- Fraud impact on profitability includes both prevented losses and lost good revenue
- Conversion-friendly fraud prevention requires teams to see where controls are too blunt
- Payment approval and fraud balance is not just a payments problem, it is a core fraud strategy issue
Why fraud KPIs for ecommerce need to grow up
This is where things get especially practical.
A lot of fraud KPIs for ecommerce are still overly focused on what is easiest to count rather than what is most useful to understand. Chargeback rates. Fraud dollars. False positives. Review queue size. Those are important. But they do not always tell the business whether the fraud team is creating measurable fraud outcomes that support profitability over time.
That is where a better fraud operations KPI framework matters.
If the business is growing, changing channels, entering new markets, or experimenting with product experiences, the fraud team needs metrics that evolve along with it. That means looking at customer retention and fraud together. Looking at approval performance alongside abuse outcomes. Looking at margin protection, repeat behavior, and even trust signals across the customer journey.
Because if teams only benchmark themselves on narrow loss metrics, they may miss whether the fraud stack is actually helping the business move in the right direction.
- Fraud KPIs for ecommerce should include both risk control and revenue performance
- Fraud performance measurement gets stronger when it reflects actual business goals
- Merchant fraud analytics should help explain tradeoffs, not just report totals
- Ecommerce fraud benchmarking is more useful when it includes long-term customer and revenue effects
Why fraud and marketing alignment matters more than people think
This might not sound like a fraud topic at first. It absolutely is.
Fraud and marketing alignment matters because both teams influence who gets through the funnel, who trusts the experience, and whether good customers stay engaged. If marketing is driving high-value customer acquisition while fraud is blocking too aggressively, the business may be creating tension it cannot even see clearly. If fraud is reducing abuse without understanding campaign behavior, it may misread what good traffic looks like.
That usually does not end well.
Simon makes a useful point here around lifelong learning and collaboration. Fraud teams cannot operate like a sealed unit if they want to influence broader business outcomes. They need context from product. From marketing. From customer experience. From payments. Not because fraud loses its role, but because fraud gets better when it understands the whole system it is trying to protect.
And that matters.
Because customer trust and revenue growth often depend on whether teams are solving the same problem together or working at cross purposes without realizing it.
- Fraud and marketing alignment helps teams understand the difference between good growth and risky growth
- Fraud and product collaboration improves controls by grounding them in real customer experience
- Customer retention and fraud are connected more closely than many teams measure today
- Data-driven fraud optimization works better when teams share context across functions
Why fraud teams need business metrics, not just fraud metrics
At the center of this episode is a simple point. Fraud teams do some of their best work when they learn how to speak the language of the business without losing the language of risk.
That does not mean watering things down.
It means getting better at showing why fraud strategy matters in terms leadership, finance, product, and growth teams can actually use. Revenue attach rate is a good example of that. It gives teams a way to connect fraud work to business value more directly, which makes the conversation more strategic and a lot less defensive.
Honestly, that is refreshing.
Because fraud teams are too often put in the position of justifying themselves through fear, loss, or worst-case scenarios. Those things are real. But they are not the only story. Fraud strategy can also be a profit protection strategy. A retention strategy. A customer trust strategy. A smarter-approvals strategy.
That is the part worth paying attention to.
- Fraud team business metrics make it easier to connect risk work to broader company goals
- Measurable fraud outcomes should include both prevented abuse and preserved legitimate value
- Fraud strategy for profit protection is stronger when it includes retention, trust, and revenue effects
- The best fraud prevention business case is usually the one that shows both safety and growth impact
The big takeaway from this episode is pretty straightforward. Revenue attach rate is a useful way to rethink how fraud teams measure value because it pushes the conversation beyond simple loss prevention and into the full business impact of good fraud strategy. Fraud teams do not just block bad actors. They also shape approvals, customer trust, retention, and profitability. The more clearly they can measure that, the stronger their strategy becomes.
