The Returns Revenue Gap

Introduction Headline: 75% of your customers say they want a refund. 87% would take an exchange. Most brands have never tried to close that gap. Brands have a problem, but many don’t know it yet. In a recent study Loop commissioned, 70% of brands across the US, UK and Australia agree that returns significantly impact customer loyalty. Yet just 10% flag customer churn as a significant concern. 58% of consumers in these same markets say they've walked away from a brand over its return policy. Brands aren't closing that gap. If they value growth, that has to change. Here's the nuance brands are missing: 75% of customers say they favor a full refund. 87% would take an exchange instead, if the experience were easy enough. That's the “Returns Revenue Gap”, and closing it is worth $3.16 billion. The brands that close it grow, and the brands that don't lose margin on every return (often without realizing it). This report shows you how. Executive Summary Subhead: Before you dig into the full report, here's what matters most. Skim it, screenshot it, send it to your team. 75% of consumers want a refund. 87% would take an exchange instead. 58% of consumers have walked away from a brand over its return policy. Only 10% of retailers think it's happening to them. 92% of consumers say return fees change how they shop. 30% of consumers admit to something they classify as fraud or abuse. Highest in the US (43%), and lowest in AU (28%). 74% of retailers use AI somewhere in returns. Only 19% use it to catch fraud. Australia’s retailers use instant exchange at 53%, the highest rate of any market in the study. Refunds dominate returns processing, accounting for 46% of returns, ahead of exchanges at 29% and store credit at 25%. UK retailers report the highest refund share at 53%, followed by US (43%) and AU (42%). $3.16 billion left on the table: the estimated revenue lost when brands default to refunds instead of easy exchanges, across the US, UK, and Australia. 3,600 people surveyed. 600 retailers. 3,000 consumers. Three countries. Use this page to start the conversation. The rest of the report shows you how to close the gap. Chapter One: Your Return Policy Is Your First Ad Brands spend thousands on BFCM (Black Friday Cyber Monday) ads while ignoring the thing that actually converts hesitant buyers. Too many treat their return policy as an afterthought. In fact, it’s a conversion signal that fires before the consumer has even hit “Buy Now.” 59% of shoppers always or often check the returns policy before buying, rising to 67% of high spenders. 58% have gone further: they've abandoned a purchase or walked away from a brand entirely because of its return policy. {Insert visual from slide 26} Simplicity and cost are key: 92% of consumers say return fees influence their purchasing behavior 70% of brands say returns makes their customers more loyal 26% of brands view returns as a revenue opportunity Brands should view their return policy as a retention tool. Too many still treat it as overhead. Just 10% report customer churn as their most significant issue. Driving revenue through returns and exchanges ranks only seventh among brand priorities. Most are still managing returns as a cost. Few are treating them as a growth lever. Just 26% of brands view returns as a revenue opportunity at all, and the data backs that up: revenue generation ranks only seventh among current priorities BFCM strips away caution. Discounts do the convincing, and trust has to happen fast. A visible, generous return policy earns it. Checkout+, Loop's paid return protection product, does exactly that at the moment it counts: a small checkout fee that guarantees an easier return later, turning hesitation into a completed sale. Most brands haven't turned it on yet. What to do about it: Audit your returns policy page right now. Is it written like a legal document or a brand promise? Check where your policy appears in the purchase flow. If it's only in the footer, you're missing the moment.I Benchmark your policy against your top three competitors. Is yours more or less generous, and do your customers actually know? Brand Play: Boody Turned a checkout fee into a reason to buy. Rolled out Checkout+ across Australia, North America, and the UK as a cost offset 70–78% attach rate across all three regions (AU 70.4%, North America 77.7%, UK 72.8%) Shoppers read it as reassurance across three very different markets "The feature boosted customer confidence, which supports lifetime value (LTV), giving the extra push to purchase something they are unsure of." — Myriam Ferraty, CX Manager, Boody Chapter 2: The $3.16 Billion Exchange Opportunity 75% of consumers say they prefer a refund when they return. 87% are actually open to an exchange, if the conditions are right. Most brands read this as a preference gap. It’s an infrastructure gap. By prioritizing exchanges over returns, brands retain both the customer and revenue. They can strengthen loyalty, increase customer satisfaction, and reduce potential acquisition costs. We calculate this exchange opportunity to be worth as much as $3.16 billion. Chubbies' CFO ran this math for his own business; a 10% LTV boost from exchanges over refunds, worth roughly $200K in incremental annual revenue. Brands are keen to maximize this opportunity: 85% already use exchange tactics. Yet 59% cite consumer preferences for returns over exchanges as their biggest barrier. Why the disconnect? Experience matters. Improvements to the ease (37%) and speed (35%) of processing are the biggest factors influencing exchange preference. The figures rise to 44% and 47% for high spenders. {Insert visual from slide 33} Even when a consumer wants a refund, they could be incentivized with: A bonus store credit (39%) A waived exchange fee (36%) A speedy replacement (35%) Look to Australia for what’s coming next. Brands there are the most prolific users of instant exchange services. 53% offer instant exchanges to consumers. It’s no coincidence that the country also has the lowest refund volumes. Build the right exchange infrastructure, and you’ll see the right return outcomes. Age changes everything. Under-35s are the highest-value audience for exchange conversion. 45% of 25-35-year-olds say they’d prefer to exchange when returning an item. The figure for the over-65s drops to just 18%. Brands should stop designing their business around what they think consumers want, and start making decisions based on real preferences. This is even more important during BFCM. At peak volume, every refund is margin gone. Even a 10% shift from refund to exchange on a $50M revenue base is a seven-figure number. Brands with this infrastructure in place going into October are already winning. What to do about it: Are you offering any exchange incentives like bonus credit or free return shipping? If not, you are leaving the easiest revenue on the table. Speed matters as much as price. Is your exchange process faster or slower than your refund process? Under-35s return more and are more open to exchanges. Are your exchange tactics designed with them in mind? Run this test: what's your current exchange rate? What would a 10% shift toward exchanges be worth on your BFCM return volume? How can you turn every return into an opportunity for product discovery and future revenue? Consider offering an exchange-first user experience. Brand Play: Oh Polly turned a refund moment into a bigger sale. The lever: a small bonus incentive at the moment of return Before: NPS for the returns journey at 25, customers defaulting to refunds, average returns order spend at £242 (UK) After: Thanks to incentivizing exchanges, the NPS climbed to 64–65 and average returns order spend more than doubled to £500+ (a 107% increase) Refund-driven returns dropped 10% in the UK and 20% in the US and Australia after implementation. "Customers may opt for a refund, but we look at ways to incentivize them into choosing other options. We add a little bonus incentive to entice them to spend more money… We add a little bonus incentive, like £5 on top of the amount they're exchanging, to entice them to spend more money." — Emily McMorran, Customer Journey Manager, Oh Polly Chapter 3: Fraud Is the Problem. AI Is the Response 30% of consumers have done something they themselves classify as fraud or abuse. Brands may also be underestimating the volume of fraudulent activity on their platforms. AI can help to drive visibility and response, but it’s currently seriously underused. The level of returns fraud and abuse is shockingly high: 83% of retailers admit it’s a problem False claims (60%) and returning different or damaged items (46%) are the most commonly cited issues US retailers are hit particularly hard on returns of different/damaged items (54% vs. 41% in the UK and 44% AU) Retailer concerns are backed up by consumer confessions: 72% admit to at least one "damaging" returns behavior 30% have briefly worn an item before returning it 29% have ordered multiple sizes with the intention of returning some 27% have substituted the original item for another That number climbs to 43% in the US. Only 39% always give the true reason for a return. 34% admit to sometimes or often providing a dishonest reason, and younger shoppers are more likely to do so. {Insert visual from Slide 40 and also Slide 42} Fraud is rampant. Most brands are flying blind into BFCM without the tools to catch it. On average, they deploy only two fraud-mitigation measures. 53% still rely mainly on manual reviews. This is not sustainable as they enter the peak-volume BFCM period, when fraudsters are more likely to strike. AI-powered fraud detection should be table stakes today. Yet the response gap is hard to ignore. 74% of brands use AI technology somewhere in the returns process. But just 19% use it for the one thing that’s actually costing them money: fraud. Retailers are split on what problems they want AI to solve. Some see it as a useful way to recover revenue. Others are prioritizing cost reduction. The brands that have figured out AI does both are running ahead, and they tend to be using ecommerce platforms like Shopify and Salesforce Commerce Cloud rather than proprietary environments. AI adoption varies by ecommerce platform: 100% among Adobe Commerce users, 90% on SAP Commerce Cloud, 85% on Salesforce Commerce Cloud, and 71% on Shopify. Custom-built and proprietary platforms lag furthest behind at just 57%. Brands that deploy ML/AI fraud detection before October protect margin and buy back operational capacity during the highest-pressure weeks of the year. What to do about it: If your only fraud defense is manual review, you are not equipped for BFCM volume. Full stop. Run the math: return volume x estimated fraud rate x AOV. At what number does a purpose-built tool pay for itself? Look at your return reason data: if 90%+ say "doesn't fit" or "changed my mind," your UI is doing the talking, not your customers If you're on a custom platform and not using AI in returns, you're running two cycles behind brands on Shopify Plus Brand Play: Mockingbird is proof that generous and safe aren't a trade-off Runs a 30-day try-at-home policy on purpose. That generosity that drew fraud rings and label fraud Before: 20–30 hours a week of manual fraud monitoring After: 93.84% fraud detection accuracy, $26,000 saved, monitoring time down to under 10 hours a week Return rate held at an industry-low of 2.8%, with the generous policy still in place "With the fraud detection tools, it's given us the confidence to feel like we've got control of the situation." — Nathan Render, Director of CX, Mockingbird If the world’s largest online retailer runs multiple AI layers against fraud and returns, why aren’t you? Amazon's own returns stack, Project P.I, catches damaged or defective items before they ever ship.It also runs predictive sizing AI and account-level pattern detection. Chapter 4: Localize to Win Globally The US, UK, and Australia are not the same returns market. Your strategy shouldn’t be either, if you’re operating in more than one. Australia is running 12-18 months ahead of the US and UK in terms of return maturity. The questions Australian brands were asking in 2024 are the questions US/UK brands are asking now. Australian brands are more likely to use instant exchange as a tactic (53%), which may explain why fewer report exchanges as lost revenue. Metric US UK Australia Avg consumer return rate 17% 12% 11% Use instant exchange as tactic 50% 45% 53% Fraud: false damages/wrong-item claimed 54% 41% 44% Different policy for int'l returns 61% 58% 73% US: The highest return rates, the highest fraud on damaged/different items, and rising returns-policy sensitivity. This is the market where the gap between what brands believe and what consumers do is widest. UK: 79% prefer a 100% refund (joint highest with AU) and lowest store credit usage of the three markets. 60% of brands cite consumer preference as their biggest barrier to increasing exchanges. The exchange opportunity here is arguably the largest because the baseline is the lowest. Refund-first thinking is deeply rooted in the UK than anywhere else in the study. Australia: The standout case. Australian retailers are most likely to use instant exchange (53%). These brands are operating with more sophisticated returns infrastructure, and their outcomes reflect it. Australia is the benchmark for where the US and UK are heading. During BFCM, brands typically see the biggest annual spike in cross-border sales. But those that haven't built the right returns infrastructure risk burning the loyalty that BFCM spend is supposed to generate. Australian and UK shoppers have different expectations, fraud patterns, and openness to exchange versus refunds. Brands that ignore these differences pay for it. What to do about it: If you ship to multiple markets: run region-specific benchmarks against this data and identify your biggest gap market. If you're US or UK-based: AU shows where the returns category is heading. What AU brands are doing now is table stakes in 18 months, If you're expanding internationally: your post-purchase experience needs to be built for each market. Translation alone isn't enough. Brand Play: Muscle Nation Gave shoppers what they were already asking for Original policy only offered store credit, but customers wanted direct exchanges instead and the ability to secure sale items before they sold Since using Loop's Instant Exchange: 55% revenue retention 100% of exchanges now run through Instant Exchange "Many were asking for the ability to make direct exchanges so they didn't miss out on products they loved." — Jessica Connolly, CX Manager, Muscle Nation You Still Have Time to Win BFCM Turn this data into action ahead of BFCM. Share the following checklist with your team now: Audit your return policy page: is it a conversion asset or a legal disclaimer? Set up at least one exchange incentive before the peak shopping season. Consider offering a bonus store credit, eliminating exchange fees, or providing faster replacement items. Quantify your fraud exposure: return volume × estimated fraud rate × AOV. If it's over $50,000, manual review isn't enough. Check your tech stack: are you actually using returns data to power exchange recommendations and fraud detection, or just logging it? If you ship internationally: run regional benchmarks against this data and identify your biggest Returns Revenue Gap market. CTA at the close: Check out how Loop customers are closing the Returns Revenue Gap See it in action (https://www.loopreturns.com/book-a-demo-today/)

Introduction

75% of your customers say they want a refund. 87% would take an exchange. Most brands have never tried to close that gap.

Brands have a problem, but many don’t know it yet. In a recent study Loop commissioned, 70% of brands across the US, UK and Australia agree that returns significantly impact customer loyalty. Yet just 10% flag customer churn as a significant concern.
58% of consumers in these same markets say they've walked away from a brand over its return policy. Brands aren't closing that gap. If they value growth, that has to change.
Here's the nuance brands are missing: 75% of customers say they favor a full refund. 87% would take an exchange instead, if the experience were easy enough. That's the “Returns Revenue Gap”, and closing it is worth $3.16 billion. The brands that close it grow, and the brands that don't lose margin on every return (often without realizing it).
This report shows you how.

Executive Summary

Before you dig into the full report, here's what matters most. Skim it, screenshot it, send it to your team.

75% of consumers want a refund. 87% would take an exchange instead.
58% of consumers have walked away from a brand over its return policy. Only
10% of retailers think it's happening to them.
92% of consumers say return fees change how they shop.
30% of consumers admit to something they classify as fraud or abuse.
Highest in the US (43%), and lowest in AU (28%).
74% of retailers use AI somewhere in returns. Only 19% use it to catch fraud.
Australia’s retailers use instant exchange at 53%, the highest rate of any market in the study.
Refunds dominate returns processing, accounting for 46% of returns, ahead of exchanges at 29% and store credit at 25%. UK retailers report the highest refund share at 53%, followed by US (43%) and AU (42%).

$3.16 billion left on the table: the estimated revenue lost when brands default to refunds instead of easy exchanges, across the US, UK, and Australia.

3,600 people surveyed. 600 retailers. 3,000 consumers. Three countries.
Use this page to start the conversation. The rest of the report shows you how to close the gap.

Chapter One: Your Return Policy Is Your First Ad

Brands spend thousands on BFCM (Black Friday Cyber Monday) ads while ignoring the thing that actually converts hesitant buyers. Too many treat their return policy as an afterthought. In fact, it’s a conversion signal that fires before the consumer has even hit “Buy Now.” 59% of shoppers always or often check the returns policy before buying, rising to 67% of high spenders. 58% have gone further: they've abandoned a purchase or walked away from a brand entirely because of its return policy.
{Insert visual from slide 26}

Simplicity and cost are key:
92% of consumers say return fees influence their purchasing behavior
70% of brands say returns makes their customers more loyal
26% of brands view returns as a revenue opportunity

Brands should view their return policy as a retention tool. Too many still treat it as overhead. Just 10% report customer churn as their most significant issue.

Driving revenue through returns and exchanges ranks only seventh among brand priorities. Most are still managing returns as a cost. Few are treating them as a growth lever. Just 26% of brands view returns as a revenue opportunity at all, and the data backs that up: revenue generation ranks only seventh among current priorities
BFCM strips away caution. Discounts do the convincing, and trust has to happen fast. A visible, generous return policy earns it.
Checkout+, Loop's paid return protection product, does exactly that at the moment it counts: a small checkout fee that guarantees an easier return later, turning hesitation into a completed sale. Most brands haven't turned it on yet.
What to do about it:
Audit your returns policy page right now. Is it written like a legal document or a brand promise?
Check where your policy appears in the purchase flow. If it's only in the footer, you're missing the moment.I
Benchmark your policy against your top three competitors. Is yours more or less generous, and do your customers actually know?

Brand Play: Boody Turned a checkout fee into a reason to buy.

Rolled out Checkout+ across Australia, North America, and the UK as a cost offset
70–78% attach rate across all three regions (AU 70.4%, North America 77.7%, UK 72.8%)
Shoppers read it as reassurance across three very different markets

"The feature boosted customer confidence, which supports lifetime value (LTV), giving the extra push to purchase something they are unsure of." — Myriam Ferraty, CX Manager, Boody

Chapter 2: The $3.16 Billion Exchange Opportunity
75% of consumers say they prefer a refund when they return. 87% are actually open to an exchange, if the conditions are right. Most brands read this as a preference gap. It’s an infrastructure gap.
By prioritizing exchanges over returns, brands retain both the customer and revenue. They can strengthen loyalty, increase customer satisfaction, and reduce potential acquisition costs. We calculate this exchange opportunity to be worth as much as $3.16 billion.

Chubbies' CFO ran this math for his own business; a 10% LTV boost from exchanges over refunds, worth roughly $200K in incremental annual revenue.

Brands are keen to maximize this opportunity: 85% already use exchange tactics. Yet 59% cite consumer preferences for returns over exchanges as their biggest barrier. Why the disconnect?
Experience matters. Improvements to the ease (37%) and speed (35%) of processing are the biggest factors influencing exchange preference. The figures rise to 44% and 47% for high spenders.
{Insert visual from slide 33}

Even when a consumer wants a refund, they could be incentivized with:
A bonus store credit (39%)
A waived exchange fee (36%)
A speedy replacement (35%)
Look to Australia for what’s coming next. Brands there are the most prolific users of instant exchange services. 53% offer instant exchanges to consumers. It’s no coincidence that the country also has the lowest refund volumes. Build the right exchange infrastructure, and you’ll see the right return outcomes.
Age changes everything. Under-35s are the highest-value audience for exchange conversion. 45% of 25-35-year-olds say they’d prefer to exchange when returning an item. The figure for the over-65s drops to just 18%.
Brands should stop designing their business around what they think consumers want, and start making decisions based on real preferences. This is even more important during BFCM. At peak volume, every refund is margin gone. Even a 10% shift from refund to exchange on a $50M revenue base is a seven-figure number. Brands with this infrastructure in place going into October are already winning.
What to do about it:
Are you offering any exchange incentives like bonus credit or free return shipping? If not, you are leaving the easiest revenue on the table.
Speed matters as much as price. Is your exchange process faster or slower than your refund process?
Under-35s return more and are more open to exchanges. Are your exchange tactics designed with them in mind?
Run this test: what's your current exchange rate? What would a 10% shift toward exchanges be worth on your BFCM return volume?
How can you turn every return into an opportunity for product discovery and future revenue? Consider offering an exchange-first user experience.

Brand Play: Oh Polly turned a refund moment into a bigger sale.
The lever: a small bonus incentive at the moment of return
Before: NPS for the returns journey at 25, customers defaulting to refunds, average returns order spend at £242 (UK)
After: Thanks to incentivizing exchanges, the NPS climbed to 64–65 and average returns order spend more than doubled to £500+ (a 107% increase)
Refund-driven returns dropped 10% in the UK and 20% in the US and Australia after implementation.

"Customers may opt for a refund, but we look at ways to incentivize them into choosing other options. We add a little bonus incentive to entice them to spend more money… We add a little bonus incentive, like £5 on top of the amount they're exchanging, to entice them to spend more money." — Emily McMorran, Customer Journey Manager, Oh Polly

Chapter 3: Fraud Is the Problem. AI Is the Response

30% of consumers have done something they themselves classify as fraud or abuse.

Brands may also be underestimating the volume of fraudulent activity on their platforms. AI can help to drive visibility and response, but it’s currently seriously underused.
The level of returns fraud and abuse is shockingly high:
83% of retailers admit it’s a problem
False claims (60%) and returning different or damaged items (46%) are the most commonly cited issues
US retailers are hit particularly hard on returns of different/damaged items (54% vs. 41% in the UK and 44% AU)
Retailer concerns are backed up by consumer confessions:
72% admit to at least one "damaging" returns behavior
30% have briefly worn an item before returning it
29% have ordered multiple sizes with the intention of returning some
27% have substituted the original item for another
That number climbs to 43% in the US. Only 39% always give the true reason for a return. 34% admit to sometimes or often providing a dishonest reason, and younger shoppers are more likely to do so.
{Insert visual from Slide 40 and also Slide 42}

Fraud is rampant. Most brands are flying blind into BFCM without the tools to catch it. On average, they deploy only two fraud-mitigation measures. 53% still rely mainly on manual reviews. This is not sustainable as they enter the peak-volume BFCM period, when fraudsters are more likely to strike.
AI-powered fraud detection should be table stakes today. Yet the response gap is hard to ignore. 74% of brands use AI technology somewhere in the returns process. But just 19% use it for the one thing that’s actually costing them money: fraud.
Retailers are split on what problems they want AI to solve. Some see it as a useful way to recover revenue. Others are prioritizing cost reduction. The brands that have figured out AI does both are running ahead, and they tend to be using ecommerce platforms like Shopify and Salesforce Commerce Cloud rather than proprietary environments.
AI adoption varies by ecommerce platform: 100% among Adobe Commerce users, 90% on SAP Commerce Cloud, 85% on Salesforce Commerce Cloud, and 71% on Shopify. Custom-built and proprietary platforms lag furthest behind at just 57%.
Brands that deploy ML/AI fraud detection before October protect margin and buy back operational capacity during the highest-pressure weeks of the year.
What to do about it:
If your only fraud defense is manual review, you are not equipped for BFCM volume. Full stop.
Run the math: return volume x estimated fraud rate x AOV. At what number does a purpose-built tool pay for itself?
Look at your return reason data: if 90%+ say "doesn't fit" or "changed my mind," your UI is doing the talking, not your customers
If you're on a custom platform and not using AI in returns, you're running two cycles behind brands on Shopify Plus

Brand Play: Mockingbird is proof that generous and safe aren't a trade-off

Runs a 30-day try-at-home policy on purpose. That generosity that drew fraud rings and label fraud
Before: 20–30 hours a week of manual fraud monitoring
After: 93.84% fraud detection accuracy, $26,000 saved, monitoring time down to under 10 hours a week
Return rate held at an industry-low of 2.8%, with the generous policy still in place

"With the fraud detection tools, it's given us the confidence to feel like we've got control of the situation." — Nathan Render, Director of CX, Mockingbird

If the world’s largest online retailer runs multiple AI layers against fraud and returns, why aren’t you?

Amazon's own returns stack, Project P.I, catches damaged or defective items before they ever ship.It also runs predictive sizing AI and account-level pattern detection.

Chapter 4: Localize to Win Globally
The US, UK, and Australia are not the same returns market. Your strategy shouldn’t be either, if you’re operating in more than one.

Australia is running 12-18 months ahead of the US and UK in terms of return maturity. The questions Australian brands were asking in 2024 are the questions US/UK brands are
asking now.

Australian brands are more likely to use instant exchange as a tactic (53%), which may explain why fewer report exchanges as lost revenue.

Metric
US
UK
Australia
Avg consumer return rate
17%
12%
11%
Use instant exchange as tactic
50%
45%
53%
Fraud: false damages/wrong-item claimed
54%
41%
44%
Different policy for int'l returns
61%
58%
73%

US: The highest return rates, the highest fraud on damaged/different items, and rising returns-policy sensitivity. This is the market where the gap between what brands believe and what consumers do is widest.
UK: 79% prefer a 100% refund (joint highest with AU) and lowest store credit usage of the three markets. 60% of brands cite consumer preference as their biggest barrier to increasing exchanges. The exchange opportunity here is arguably the largest because the baseline is the lowest. Refund-first thinking is deeply rooted in the UK than anywhere else in the study.
Australia: The standout case. Australian retailers are most likely to use instant exchange (53%). These brands are operating with more sophisticated returns infrastructure, and their outcomes reflect it. Australia is the benchmark for where the US and UK are heading.
During BFCM, brands typically see the biggest annual spike in cross-border sales. But those that haven't built the right returns infrastructure risk burning the loyalty that BFCM spend is supposed to generate. Australian and UK shoppers have different expectations, fraud patterns, and openness to exchange versus refunds. Brands that ignore these differences pay for it.
What to do about it:
If you ship to multiple markets: run region-specific benchmarks against this data and identify your biggest gap market.
If you're US or UK-based: AU shows where the returns category is heading. What AU brands are doing now is table stakes in 18 months,
If you're expanding internationally: your post-purchase experience needs to be built for each market. Translation alone isn't enough.

Brand Play: Muscle Nation Gave shoppers what they were already asking for
Original policy only offered store credit, but customers wanted direct exchanges instead and the ability to secure sale items before they sold
Since using Loop's Instant Exchange: 55% revenue retention
100% of exchanges now run through Instant Exchange
"Many were asking for the ability to make direct exchanges so they didn't miss out on products they loved." — Jessica Connolly, CX Manager, Muscle Nation

You Still Have Time to Win BFCM
Turn this data into action ahead of BFCM. Share the following checklist with your team now:
Audit your return policy page: is it a conversion asset or a legal disclaimer?
Set up at least one exchange incentive before the peak shopping season. Consider offering a bonus store credit, eliminating exchange fees, or providing faster replacement items.
Quantify your fraud exposure: return volume × estimated fraud rate × AOV. If it's over $50,000, manual review isn't enough.
Check your tech stack: are you actually using returns data to power exchange recommendations and fraud detection, or just logging it?
If you ship internationally: run regional benchmarks against this data and identify your biggest Returns Revenue Gap market.

CTA at the close:
Check out how Loop customers are closing the Returns Revenue Gap
See it in action (https://www.loopreturns.com/book-a-demo-today/)