Ecommerce Metrics That Reveal Chargeback Risk and Recoverable Revenue

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TL;DR:
- Track these 7: conversion rate, average order value, customer acquisition cost, customer lifetime value, cart abandonment rate, website traffic, and chargeback rate.
- Then add the dispute economics scorecard: refund rate, dispute rate, alert coverage, representment win rate, net recovery, false positives, and support contacts per order.
- Cart abandonment: averages around 70% industry-wide (Baymard Institute); a higher rate usually means checkout friction.
- Net recovery rate (disputes won minus fees and labor) matters more than a raw win rate, since a high win rate with high processing costs can still leave little revenue behind.
- Chargeback rate: chargebacks divided by transactions, times 100. Cross a card network's threshold and you land in a costly monitoring program like Visa's VAMP.
Ecommerce success metrics are the specific numbers, such as conversion rate, customer acquisition cost, and chargeback rate, that reveal whether an online store is turning visitors into profitable, repeat customers, and whether the revenue you book is revenue you actually keep. Ecommerce success is all about tracking the right metrics, and most merchants track the wrong ones: they watch traffic and conversion rate closely, then discover their chargeback rate and net recovery only after a card network has already flagged the account.
This guide covers both. The seven core funnel metrics below (conversion rate through chargeback rate) tell you whether your store is growing. A second scorecard, covering refund rate, dispute rate, alert coverage, representment win rate, net recovery, false positives, and support contacts, tells you how much of that growth you actually get to keep once disputes are accounted for. Here are the seven funnel metrics first:
- Conversion Rate
- Average Order Value
- Customer Acquisition Cost
- Customer Lifetime Value
- Cart Abandonment Rate
- Website Traffic Volume
- Chargeback Rate
Leading Signals vs Lagging Dispute Outcomes
Not every metric on this page tells you the same kind of story. Some move before a problem shows up in your dispute queue; others only confirm the damage after it has already happened. Mixing the two up is why merchants get blindsided: they watch a lagging metric improve for months, then get hit with a monitoring-program notice because a leading signal had been drifting the whole time.
- Leading signals (predict trouble before it becomes a dispute): conversion rate drops on specific traffic segments, cart abandonment spikes at the payment step, rising false-positive rate on your fraud filters, falling alert coverage.
- Lagging outcomes (confirm what already happened): chargeback rate, refund rate, representment win rate, net recovery rate.
Review leading signals weekly, since that is the window where you can still change an outcome. Review lagging outcomes monthly, both to confirm your leading indicators are actually predictive and to catch anything your dashboards did not flag in time.
The Chargeback Economics Scorecard
Refund rate and dispute rate alone don't tell you whether your dispute program is working; you need to see catch rate, cost, and leakage side by side. Track these seven metrics together, all measured over the same rolling period (30 or 90 days) and against the same transaction denominator, so they stay comparable to each other month over month:
| Metric | Formula | What it tells you |
|---|---|---|
| Refund rate | Refunds ÷ Transactions × 100 | How much revenue you're giving back voluntarily, before it ever reaches a dispute |
| Dispute (chargeback) rate | Chargebacks ÷ Transactions × 100 | Your exposure to card network monitoring programs |
| Alert coverage | Disputes Flagged by Alert ÷ Total Disputes × 100 | How much of your dispute volume you catch before it becomes a formal chargeback |
| Representment win rate | Disputes Won ÷ Disputes Represented × 100 | Whether your evidence and reason-code strategy is actually working |
| Net recovery rate | (Disputes Won × Avg. Order Value) − Program Costs, ÷ Total Disputed Value | The share of disputed revenue you keep after fees and labor |
| False-positive rate | Good Orders Blocked ÷ Total Orders Screened × 100 | Revenue you're losing to fraud rules that are too aggressive |
| Support contacts per order | Order-Related Tickets ÷ Total Orders | An early warning for the fulfillment or billing issues that turn into disputes |
Pull these from your own chargeback data rather than industry averages. A benchmark from a different vertical, ticket size, or geography will send you chasing a threshold that doesn't apply to your business. If you need a starting structure for pulling this data consistently, chargeback reports built around a fixed reason-code and time-window taxonomy make the month-over-month comparison meaningful instead of noisy.
7 eCommerce Metrics at a Glance
| Metric | Formula | Example |
|---|---|---|
| Conversion Rate | Purchases ÷ Visitors × 100 | 2,000 orders ÷ 10,000 visitors × 100 = 20% |
| Average Order Value | Total Revenue ÷ Number of Orders | $10,000 ÷ 100 orders = $100 |
| Customer Acquisition Cost | Total Acquisition Costs ÷ New Customers | $50,000 ÷ 1,000 customers = $50 |
| Customer Lifetime Value | Average Order Value × Purchase Frequency × Customer Lifespan | $100 × 5 × 2 years = $1,000 |
| Cart Abandonment Rate | {1 − (Completed Purchases ÷ Carts Created)} × 100 | {1 − (500 ÷ 2,000)} × 100 = 75% |
| Website Traffic | Tracked via analytics platforms (e.g., GA4) | Sessions, users, and pageviews reported in Google Analytics |
| Chargeback Rate | Chargebacks ÷ Transactions × 100 | 50 chargebacks ÷ 2,000 transactions × 100 = 2.5% |
Metric #1: Conversion Rate
Conversion rates refer to the percentage of website visitors that completed a pre-designed actions like making an order, filling a form, or signing up for a newsletter.
A high conversion rate shows your website effectively turns its visitors into customers. In contrast, a low conversion rate is a smokescreen of poor user experience, product offering, marketing strategies, or global economic challenges such as inflation and depression.
To gauge your conversion rate, divide the total number of purchases by the total number of website visitors and multiply the outcome by 100. For example, if 10,000 people visited your website in May and 2,000 of those placed an order or subscribed to your service, your conversion rate will be as follows:
2,000/10,000 x 100 = 20%.
The goal of every eCommerce merchant is to maintain a high conversion rate as it directly impacts the bottom line and long-term sustainability.
How to Improve Conversion Rates
The overall goal of every business is to make money. After all, you're not in business to play around, are you? Pay attention to these factors to improve your conversion rate.
- Captivating Value Prop. Showcase the product or service's uniqueness and how it solves customers' pain points. Highlight what sets you apart from others.
- Airtight Call-to-Action (CTA). Use persuasive and well-placed CTAs to lead visitors into taking your designed actions. Make your CTAs stand out visually, use action-oriented words, and create a sense of urgency or exclusivity.
- Optimized Website Interface. If you're the buyer, will you find the website visually appealing, easy to navigate, and quick to load? If not, optimize it and consider that many buyers now surf the web through mobile devices.
- Excellent Copywriting. Speak to one person, and you'll speak to everyone. Speak to everyone, and you'll reach no one. Also, avoid jargon or complex words. Use headings, subheadings, and bullet points to break up text to make it scannable.
- User-Generated Content. Customer testimonials, case studies, client logos, trust badges, relevant awards, certifications, or affiliations go a long way to demonstrating credibility.
- Evergreen Content. In today's AI-fueled infinite content world, loading your website with samey content might give you some SEO gains in the short term. But in the long run, businesses focusing on information gain, thought leadership, and creating new experiences will win big.
- Well-Thought-Out Conversion Process. Remove every restriction from the customer journey; use pre-filled information, guest checkouts, or enable social login options to minimize manual labor.
- Personalized Marketing. Suppose you've done proper market research and gone through the various steps in understanding your ideal customers. In that case, you should know how to target specific customer segments based on their preferences, behavior, or demographic information.
- Analytics and Data Analysis. Track and analyze user behavior and conversion funnels, and observe areas for improvement.
Experiment with different variations of your website, landing pages, CTAs, or other touchpoints for informed decisions on the impact of changes on conversion rates.
Metric #2: Average Order Value
Average order value (AOV) calculates the average value of each order placed on an eCommerce website in a specific period.
To measure AOV, you divide the total revenue by the number of successful orders recorded. For example, if you made $10,000 in revenue from 100 transactions in April, your AOV would be $100, which is $10,000/100.
AOV is essential because it helps you see customer behavior and purchasing patterns. By monitoring the AOV, you can see products that customers purchase, how much they are willing to spend, and outreach strategies for improved outcomes.
Again, your goal should be to improve your AOV constantly.
How to Improve Average Order Value
Implementing the seven vital tips below can help you increase your Average Order Value.
- Make them an offer they can't resist. For example, you could use product bundling to encourage customers to purchase by combining related products and selling them for a little less than if customers bought them separately.
- Use minimum order amount for free shipping to persuade clients to make larger purchases. Business is like fishing; if you want to catch some fish, you've got to think like a fish.
- Use product recommendations to upsell the customer throughout the checkout process or on product sites, and consider automating upsell opportunities with data orchestration to keep offers personalized as order volume scales.
- Encourage customers to buy more of a particular product by offering a discount when they purchase a certain quantity.
- Reward customers for making larger purchases or reaching certain milestones with discounts, points, or other incentives; it motivates them to spend more to earn rewards.
- Induce FOMO by offering time-sensitive promotions, discounts, or exclusive deals to encourage customers to buy more before the offer expires.
- Consider installment options so customers can spread out the cost of larger purchases over time, increasing their willingness to buy more at once.
- Some vendors add tipping at checkout points. You can do the same if your business model allows customers to tip.
Metric #3: Customer Acquisition Cost
Customer Acquisition Cost (CAC) measures how much you spend to bring in new customers. CAC comprises all sales and marketing-related costs, including advertising fees, commissions from sales, and other promotional expenses.
It's a vital statistic since it enables your company to assess the cost and effectiveness of your sales and marketing initiatives in bringing in new clients.
To calculate your customer acquisition cost, add up every customer acquisition cost, including marketing and advertising expenses, salaries of salespeople and marketers, and any other costs related to lead generation and customer acquisition. And divide the outcome by the number of new customers acquired during the period.
i.e., if your total customer acquisition in Q1 2023 was $50,000, and you acquired 1,000 new customers during that same period, your CAC would be $50 per customer, which is $50,000 ÷ 1,000 = $50.
That said, it's crucial to underscore that the stat isn't always objective. For example, if you published a blog post today, a customer might read it and decide to make a transaction next month. And you might be left thinking the blog didn't do quite well.
How to Improve Customer Acquisition Cost
There's been a lot of discussion about how to quantify value for money regarding customer acquisition cost. However you look at the unfolding debate, there's one objective and central argument for both sides of the aisle. Improving your CAC is a matter of understanding your business model and how much you're willing to spend getting people to care about your value proposition.
Below are some recommendations:
- Target the right customer segment with accurate demographic data, and focus your efforts on the channels and platforms that work best for them. Billboard ads work for one business but not for another.
- If your website user experience does not meet modern eCommerce standards, you'll only acquire visitors and lose them again, they'll bounce off without taking the actions you desire.
- Use social media marketing for content distribution and brand building.
- Offer incentives like discounts, exclusive access, or loyalty points to incentivize existing customers to refer their friends and family to your business.
- While you must do all you can to generate leads, capturing and nurturing your leads is how you keep your prospects interested in your brand.
- Use blogs, videos, and social media to educate your audience and establish thought leadership by sharing your knowledge and skills.
The list above is by no means exhaustive. Try different approaches and work with the tools that give you better results.
Metric #4: Customer Lifetime Value
Customer Lifetime Value (CLV) measures the total estimated value a customer could bring to your business throughout the relationship. In other words, it is the projected revenue you aim to generate from a particular buyer during their entire time as your customer.
CLV is a popular business metric because it reveals the value of gaining and keeping consumers. It helps you track how much you're willing to spend attracting new consumers and how much you can invest in keeping current ones.
Consequently, CLV is handy when making pricing, marketing, and customer service decisions. For example, if your customers have a high CLV, then investing more in customer service to ensure that those customers remain satisfied and loyal will be a priority.
There are different methods for calculating your customer lifetime value, but the most straightforward formula is multiplying Average Order Value by the Number of Repeat Purchases and Average Retention Time.
I.e., CLV = (Average Purchase Value) x (Average Purchase Frequency) x (Customer Lifespan)
Where:
- Average Purchase Value is the average amount of money a customer spends on each purchase.
- Average Purchase Frequency equates to the purchase frequency within a given period.
- Customer Lifespan equals the length of time a customer continues to engage with the business (e.g., a year).
For example, if the average order value is $100, the number of repeat purchases per year is 5, and the average retention time is 2 years, the customer lifetime value would be: $100 x 5 x 2 = $1000
That means, on average, you expect customers to spend $1000 when they remain active and purchase from your business.
How to Improve Customer Lifetime Value
Improving your CLV ensures you can continually get maximum value from every customer relationship, resulting in higher customer retention and earnings.
Below are some essential recommendations for improving your CLV.
- Provide excellent customer service to ensure your existing customers can keep buying from you. Your current customers are the key to acquiring new customers.
- Cross-selling and upselling help you lead customers to purchase related or higher-priced items. Consider personalized product recommendations, bundle deals, and targeted email campaigns.
- If your business offers subscription services, consider solving adjacent customer pain points or offering subscription boxes or exclusive memberships.
- Use post-purchase follow-up to ensure satisfaction and offer additional products or services that may interest customers.
By providing unique shopping experiences, focusing on your customer's pain points, and improving your value proposition, you can keep your buyers returning and recommending your business to others.
Metric #5: Cart Abandonment Rate
Cart abandonment considers the percentage of website visitors who add items to their shopping carts but then leave before finishing their purchases.
Cart abandonment is a vital metric to track because it's one of the most significant challenges eCommerce businesses face. According to the Baymard Institute, the average documented cart abandonment rate across ecommerce is around 70%. Per Baymard's own checkout research, the single biggest driver is unexpected costs: 40% of shoppers who abandon a cart cite extra costs, such as shipping, tax, or fees, as the reason.
The formula for calculating your cart abandonment rate is as follows:
Cart Abandonment Rate = {1 - (Number of Completed Purchases / Number of Carts Created)} x 100.
For instance, if you had 500 completed transactions out of 2,000 carts created in April:
Cart Abandonment Rate = {1 - (500 / 2,000)} x 100 = 75%.
Tracking cart abandonment rates helps you understand the effectiveness of your checkout process and the overall customer experience. A high incidence of cart abandonment indicates that customers need help with checkout, such as unexpected prices or a complex checkout process.
How to Reduce Cart Abandonment Rate
Use the tips below to ensure customer satisfaction and a smooth checkout process.
- Remove unnecessary steps in your checkout process and make it as simple and user-friendly as possible, with minimal distractions.
- Some buyers wouldn't like to create an account or log in, so offer the option of guest checkout to make it easier for them.
- Limit form fields required during checkout to essential data points to minimize the time and effort needed from the customer.
- Displaying trust badges like security seals, customer reviews, and payment logos helps reassure customers of data security. That'll boost their confidence to buy.
- Make it easy for customers to pay how they want by offering multiple payment options, whether through your own gateway or a broader payment service provider setup.
- Consider offering free shipping or setting a minimum order amount for free shipping, as shipping costs are a common reason for cart abandonment.
- Use automated follow-up emails to remind customers who abandon their cart of the items they left behind and offer incentives such as a discount or free shipping to incentivize them to complete their purchases.
- Provide live chat support to help customers with questions or concerns during checkout.
- Ensure your website and checkout process are optimized for mobile devices, as many buyers shop on smartphones.
Continuously testing and optimizing your checkout process to identify areas for improvement and increase conversions helps you ensure your buyer stays on track with the transaction roadmap.
Metric #6: Website Traffic
Website traffic measures the number of visitors or users that access a website within a given period. This metric counts the popularity and performance of a website, and it's essential for determining the success of an online business.
Tracking the website traffic is crucial for trend analysis. Knowing how many people have visited the website, the traffic source, and which pages they have looked at helps you better identify your target market and tailor your marketing strategies accordingly. It helps track improvement areas like content, design, and user experience.
Marketing automation CRM shows you various aspects of visitor behavior, such as page views, clicks, downloads, and form submissions.
You can also set up Adobe Analytics, Google Analytics, and SEMrush to track the number of website visits, sessions, page views, unique visitors, bounce rate, and other vital metrics.
To measure website traffic using Google Analytics, follow these steps:
- Sign in to your Google Analytics account.
- Click on the "Reporting" tab at the top of the page.
- Click "Audience" and "Overview" in the left-hand sidebar to see the number of sessions and users.
- To view pageviews, click "Behavior" and "Overview."
- To know the bounce rate, click on "Behavior," then "Site Content," and then "All Pages."
Note: Standard Universal Analytics properties stopped processing data on July 1, 2023, and Google removed access to historical Universal Analytics reports entirely on July 1, 2024. All standard Google Analytics tracking now runs through Google Analytics 4 (GA4).
How to Improve Your Website Traffic
Use the best practices below to drive more traffic to your website.
- Make your website search engine-friendly with relevant phrases, quality content, and seamless navigation. We're getting close to the point of "search singularity." That is, the point of extreme copycat content when the search results become overwhelmed with lookalike blog posts and duplicative content, thanks to generative AI. Hence, search engines like Google prioritize websites with more original thoughts than ever. Using a humanize AI tool can also help refine AI generated drafts into more natural, reader friendly content that stands out from repetitive material online.
- If you're focusing on content creation without creating distribution channels, you're leaving money on the table. Take advantage of social media to promote and increase traffic to your website.
- Leverage email marketing to promote your website and drive traffic with cold email software.
- Collaborate with reliable influencers to expand your audience and increase traffic to your website.
- Guest posting on other category-leading websites is also a fantastic method to expand your audience and increase traffic to your platform. Locate blogs that allow guest posts in your niche, and then submit well-written articles with a link to your website.
- Run paid advertising campaigns on platforms like Facebook and Google Ads.
The caveat is that more than one method yields the complete result. The goal is to try different ways, track the outcome, and improve your strategies accordingly.
Metric #7: Chargeback Rate
Chargeback ratio, also called chargeback-to-transaction ratio or chargeback rate, is a metric that measures your total sales against the number of chargebacks you received in a given period.
Understanding your chargeback ratio is crucial because it can significantly impact your business. Cross a card network's threshold and you're placed in a chargeback monitoring program to address any issues, such as Visa's Acquirer Monitoring Program (VAMP), which replaced the older VDMP and VFMP programs in April 2025.
It's cheaper to prevent chargebacks than to fight them after the fact. Setting up real-time chargeback alerts buys you time to respond before a dispute lands, and mature chargeback management blends prevention, alerts, and representment so nothing slips through. If you sell on Shopify, Shopify chargeback protection adds another layer of coverage, and smart chargeback recovery can turn a lost dispute back into revenue instead of writing it off. Don't overlook the true cost of a chargeback either: it's rarely just the disputed amount once fees and lost inventory are factored in.
Participating in this program means you will be charged excessive fees for every transaction and may face penalties for every period your chargebacks remain above acceptable standards.
For example, Mastercard's Excessive Chargeback Program flags a merchant at 100 to 299 monthly chargebacks combined with a 1.5% to 2.99% chargeback ratio, sustained over two months, and the fines escalate from $1,000 in the first flagged months up to $100,000 per month if the ratio stays above threshold for over a year. Merchants generating 300 or more monthly chargebacks at a 3% or higher ratio fall into the High Excessive Chargeback Merchant tier, where fines run even higher.
Although the card networks use different unique methods for determining a vendor's chargeback rate, the formula is the same across all networks. You calculate your chargeback ratio and divide the total chargebacks received in a given period by the number of credit card transactions in the same period.
i.e., Total chargeback per month/total transactions per month x100 = chargeback rate. For example, say you had 50 chargebacks out of 2,000 transactions in April:
Chargeback Rate = (50 / 2,000) x 100 = 2.5%.
How to Improve Your Chargeback Rate
Every chargeback means potential lights-out for your business due to regulatory and revenue hiccups. Put these recommended measures in place to reduce your chargeback ratio:
- Eliminate chargeback-producing business practices and clerical missteps.
- Obtain authorization before processing payments to reduce unauthorized transactions.
- Limit fraud exposure with detection tools like 3D Secure, Address Verification Service, Geolocation, and other ecommerce fraud prevention measures.
- Scrutinize transaction details for potential fraud red flags.
- Show your contact information and policies where customers can find them, and be responsive to customer inquiries.
- Eliminate doubts with explicit billing descriptors showing your contact information.
- Ensure your ads and product descriptions aren't letting you down.
- Pay attention to your shipping processes, communicate any delays, and always obtain delivery confirmation.
- Issue refunds as soon as possible so there's no room for doubts or second-guessing.
- Use chargeback automation to fend off criminals and stay on top of your chargeback situation.
Segment the Data by Reason Code, Issuer, Product, and Geography
A single blended chargeback rate hides where your real problem lives. Break every metric in the scorecard above down along four dimensions before you act on it:
- Reason code: a spike in "item not received" disputes points to a fulfillment or shipping-carrier problem; a spike in fraud-coded disputes points to a screening gap. The fix is different for each.
- Issuer: if one or two card issuers account for a disproportionate share of your disputes, that is often a signal worth a direct conversation, not just a rule change on your end.
- Product or SKU: high-ticket or easily resold items typically carry higher fraud-dispute rates than low-ticket, hard-to-resell ones. Blending them into one store-wide rate masks which catalog segment actually needs tighter controls.
- Geography and channel: cross-border orders and certain traffic sources (affiliate, paid social) often carry different fraud and dispute profiles than direct or repeat-customer traffic. Track them separately, not as one number.
Once you can see the scorecard broken out this way, you stop tuning fraud rules and support workflows for your whole business when the actual problem sits in one country, one SKU category, or one issuer relationship.
Calculate False-Positive Cost and Net Recovery
Two numbers most merchants never calculate explicitly are what their fraud rules cost them in blocked good orders, and what they actually keep after fighting the disputes that get through. Both are simple once you have the inputs from the scorecard above:
- False-positive cost = Good Orders Blocked × Average Order Value. If your fraud filter blocks 150 legitimate orders a month at a $60 average order value, that is $9,000 in monthly revenue lost to a rule that is too aggressive, revenue that never shows up as a chargeback because the order was never placed.
- Net recovery = (Disputes Won × Average Disputed Value) minus (Representment Fees + Labor Cost). If you win 40 of 100 disputes worth $80 each, that is $3,200 recovered, but if your fees and labor cost $1,200 to process all 100 cases, your actual net recovery is $2,000, not $3,200.
Put these two numbers next to each other, not in isolation. A prevention stack with a low false-positive cost but a low net recovery rate is under-fighting winnable disputes. One with high net recovery but a high false-positive cost is winning disputes it should have prevented from ever happening, at the cost of good orders it never should have blocked in the first place.
Turn These Metrics Into Threshold, Workflow, and Ownership Changes
Tracking these metrics only pays off once each one has an owner and a threshold that triggers a specific action, not just a dashboard someone glances at monthly. Assign the funnel metrics (conversion rate, AOV, CAC, CLV, cart abandonment, traffic) to marketing and product. Assign the chargeback economics scorecard (refund rate, dispute rate, alert coverage, win rate, net recovery, false positives, support contacts) to whoever owns dispute response, and set a specific ratio, like your representment win rate falling below a set floor, that automatically triggers a review of your evidence process rather than waiting for the monthly report to surface it. Regardless of your vertical or business stage, reviewing both sets of numbers on the same cadence, and connecting the two when a leading signal moves, is what separates businesses that catch a chargeback-monitoring risk early from ones that find out from a card network notice.
Frequently Asked Questions
What are the most important eCommerce metrics to track?
Conversion rate, average order value, customer acquisition cost, customer lifetime value, cart abandonment rate, website traffic, and chargeback rate. Together they show whether your funnel converts, what each customer is worth, and where you're leaking revenue.
How do you calculate conversion rate?
Divide the total number of purchases by the total number of website visitors, then multiply by 100. For example, 2,000 orders from 10,000 visitors is a 20% conversion rate.
What's a good cart abandonment rate for eCommerce?
The industry average is around 70%, according to the Baymard Institute. A rate meaningfully higher than that usually points to checkout friction: too many form fields, unexpected costs, or no guest-checkout option.
How does chargeback rate affect my merchant account?
Card networks track chargebacks as a percentage of your total transactions. Cross their threshold and you're placed in a chargeback monitoring program, which adds per-report fees and penalties on top of the chargebacks themselves.
What's the difference between CAC and CLV?
Customer Acquisition Cost (CAC) is what you spend to win a new customer. Customer Lifetime Value (CLV) is what that customer is worth over the entire relationship. Healthy eCommerce businesses keep CLV well above CAC.
What is net recovery rate and why does it matter?
Net recovery rate is the share of disputed revenue you actually keep after winning chargebacks, once representment fees and labor costs are subtracted. A high dispute win rate can still leave you with a low net recovery rate if the cost of fighting each case eats most of what you win back.
What's a healthy false-positive rate for fraud screening?
There is no single universal benchmark, since it depends on your product mix and risk tolerance, but any rise in good orders blocked should be measured in lost revenue (blocked orders times average order value) and weighed directly against the fraud losses those same rules prevent, not tracked as an isolated percentage.
See how Chargeflow Insights turns this scorecard into a single dashboard across every store and processor you run.

Chargebacks?
No longer your problem.
Recover 4x more chargebacks and prevent up to 90% of incoming ones, powered by AI and a global network of 20,000 merchants.













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