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Alex Rosas
Published
Every BFCM ends with a headline revenue number. What that number turns into by the time January's returns land depends on one decision: refund or exchange. Here's the data behind that gap, drawn from more than 5,000 merchants and 23.4M+ returns processed on Loop.

Every brand plans for a record BFCM. Fewer plan for what happens once January's returns land.
That difference isn't inevitable. It's decided by one choice, made before the season starts: whether returns resolve as refunds or exchanges. Merchants already running exchange-first retained 19% more return-driven revenue than the network overall. Same order volume, same return volume, but a different amount of revenue kept because of a setup decision made ahead of the season.
The earlier that decision gets made, the more of the season it protects.
Run the math on your own numbers below, before BFCM starts.

Refund first
Comes back as returns
$180,000
Revenue kept
$820,000
Advantage
$0
Exchange first
Comes back as returns
$50,400
Revenue kept
$949,600
Advantage
+$129,600
Return rate is a planning assumption. Loop publishes retained-revenue benchmarks, not 30/60/90-day return curves. Refund-first treats returned revenue as lost; exchange-first retains up to 72% of it (best case), before the $22 average upsell per Shop Now exchange.
The gap between the two columns is the whole story: same returns, very different net revenue. Attributed to Loop.
Same returns, two very different outcomes, decided entirely by the inputs above.
Exchanges convert at 24.5%, compared to 8.2% for store credit, and the average Shop Now exchange carries a $22 upsell on top of the original order. In a real causal test, not a correlation, merchants who turned Shop Now on saw a 4.2-percentage-point lift in January retention; merchants who left it off saw a 4.1-point drop over the same window.
Jones Road Beauty retained $3.1M automating 208,715 returns through Loop, at a 4.87-out-of-5 CSAT. Chubbies' CFO puts a dollar figure on the same lever: a 10% LTV boost from exchange over refund, worth roughly $200K in incremental revenue a year. Two very different company sizes, the same math.
Checkout+, Loop's consumer-paid returns coverage, is how merchants fund the safety net instead of absorbing it. Adoption is up 418% year over year, and roughly 58% of a typical Checkout+ merchant's returns now come from orders where it was accepted. It’s an adoption number that represents a rising share of orders opting in, not a rising share of returns going unrecovered.
Boody runs Checkout+ across three markets at once:
Their CX manager: "Checkout+ shifted Loop from a software cost to a revenue-contributing model."
Xena Workwear saw the same pattern land fast, at a much smaller scale. Two months after turning Checkout+ on: 87% of returns run through it with zero customer complaints, 47% convert to exchanges, and that combination retained roughly $35K in the window.
The brand’s COO had the same worry every merchant has before flipping this on: "We were really worried that customers would find the new checkout process to be complicated. They didn't... we haven't heard a single complaint."
Returns don't trickle in evenly through January. They spike on one specific day, and that day is knowable well before the season starts.
For most merchants, that day is Boxing Day. Last year it was Loop's highest-volume return day ever: 183,609 returns, up roughly 15% from 159,093 the year before. That's a date you can staff for, route fraud reviews around, and set exchange-first defaults ahead of months before it happens.
For international brands, keep in mind that the peak returns date isn't universal, and that matters for how you plan. Boxing Day is the peak in the US, but the UK and AU/NZ see their own return spikes land on entirely different days, so a support plan built only around a US calendar will miss both of your other major markets. Retained revenue swings hard by region too: 38% in the US, 14% in the UK, and 52% in AU/NZ. A single global assumption about the returns wave will be wrong for at least two of your three biggest markets.
More orders means more fraud, every year, without exception. Between November 27 and January 1 last season, Loop Intelligence flagged and prevented $994K in fraud: refunds that would have gone out the door on returns that were never legitimate.
Across the network, Loop has flagged $250M in refund value before it left merchants' businesses, identified 394K+ high-risk customers through repeated identity and behavior patterns, and found that 28% of returns over $800 contain fraud signals. Fraudsters target your highest-value returns.
Harsher blanket rules don't fix this; they punish good customers right alongside the abusers. Segmentation does: route only flagged returns to manual review and leave everyone else's experience untouched.
“Your best customer shouldn't have the same experience as someone who has abused your policy five times.”

Lex Perlmutter
Head of Intelligence · Loop
Mockingbird built this before it became a January backlog problem.
Their 30-day try-at-home policy made them a target for dark web fraud rings and counterfeit-product returns, and manual fraud monitoring was costing 20 to 30 hours a week.
Results after:
The brand’s Director of CX said, "with the fraud detection tools, it's given us the confidence to feel like we've got control of the situation."
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The Q5 Returns Playbook: Everything you need for BFCM and beyond
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The Q5 Returns Playbook: Everything you need for BFCM and beyond