The Q5 Returns Playbook: Everything you need for BFCM and beyond

Most BFCM guides stop at Cyber Monday. The real cost of the season doesn't show up until four to eight weeks later, when the returns wave that peaks on Boxing Day keeps building into a stretch some retailers have started calling "Q5," the returns peak that's become its own season.

That gap matters more than most planning accounts for. 70% of brands say returns shape customer loyalty, but only 10% treat that returns wave as a real operational risk. Refund dollars issued between December 26th and January 15th rose 336% year over year last season, and roughly a third of a season's total return volume lands in January, not December. The brands still planning around a two-day sale are solving for the wrong window.

This playbook covers the full arc: what to set up before peak hits, what to watch during BFCM week itself, and what to do with the wave that follows through the end of January. Most comparable checklists stop at the first of those three. This one treats all three as equally real.

Now through November 27

BFCM Prep: What to set up before the freeze

By the time Black Friday hits, it's too late to fix your fraud thresholds, rewrite your return policy, or staff your CX team correctly. The decisions that determine whether BFCM 2026 is profitable are made now.

1. Decide who gets your most generous return policy

82% of shoppers cite free returns as a major purchase factor, up from 76% the year before, a pre-purchase decision, not a post-sale one.

Set your base return policy, then layer extra perks on top for your highest-LTV and loyalty-tier customers, that's where the stat matters most, since they're deciding whether to buy from you again, not just once.

Tighten rules the same way for high-return-risk or final-sale categories. Decide the tiers now, and the generosity is already working in your favor before the sale even starts.

2. Make sure your return policy is readable by AI, not just customers

Shoppers are increasingly asking AI tools to compare return policies before they buy. If your policy lives in a PDF, an image, or a JavaScript widget, it's invisible to the engines making that recommendation.

Publish it as plain, structured text on a real page well before BFCM traffic hits.

3. Add a one-line return policy callout to your PDP and cart page.

Not just the footer, where shoppers are actually deciding whether to buy. Jones Road's CEO put it directly: "We've tested this extensively, and clearly communicating our free and easy returns has made a significant positive impact on conversion rates."

Something as simple as "Free returns within 30 days" next to the buy button does the work.

4. Auto-extend return windows on gift-season orders

Set the rule now: a BFCM order's window should run into early February, not cut off at 30 days while gifts are still unopened.

This doesn't change how fast people return, most still return within 12–13 days regardless of window length, it changes whether a real gift return in January still counts.

5. Add a returns-portal link so gift recipients can use it too

Gift recipients often don't have the order number or account access to start a return themselves, they have to go through whoever bought it. Include a direct link to your returns portal in the confirmation email itself, so anyone with that email, buyer or recipient, can look up the order and start a return without digging for it.

If someone still reaches out instead of self-serving, the Gorgias or Gladly integrations with Loop surface the order and return details right inside the support ticket, no switching tabs, so your team can send a message with the portal link instead of tracking the order down first.

6. Audit your fraud thresholds before mid-November

High-risk flags climb right along with return volume, and teams without an active review workflow fall behind fast, then spend January playing catch-up. Mockingbird ran 20–30 hours a week of manual fraud monitoring before tightening their setup ahead of peak season. After, that dropped to under 10 hours a week, fraud detection accuracy landed at 93.84%, and their return rate held at an industry-low 2.8%, all while keeping a generous 30-day try-at-home policy in place.

Quick math: return volume × estimated fraud rate × AOV.

Clear $50,000? Manual review alone can't keep pace. Turn on automated fraud scoring so your team's manual review time goes only to the returns actually flagged as high-risk, not every one.

7. Turn on Delivery Promise (an accurate delivery ETA at checkout)

Shoppers see an accurate arrival estimate before they buy, not after they've already opened a ticket about it. Maude ran a controlled A/B test and saw a 20% checkout conversion lift and 12% PDP add-to-cart lift from showing delivery dates alone.

Pro tip: this works before a shopper even reaches your site, too. Google Shopping can show an estimated delivery date right in search results and shopping ads, set your cutoff time, handling time, and transit time in Google Merchant Center to turn it on.

8. Add your top 3 best-sellers as recommended products on your tracking page

Customers checking their order status are some of the most purchase-ready traffic you have. David Donahue turned that traffic into 28x ROI and $64K in tracked revenue in a year just by giving it somewhere to click.

9. Confirm consumer-paid returns coverage is live, and that lost-package protection is in place

Pre-paid returns lets shoppers opt into a small fee at checkout that covers their own returns, including lost or damaged packages, so the merchant isn't absorbing that cost on every one.

That's what funds free returns for everyone else: Checkout+ covered returns grew 418% YoY last season, and brands can see up to 87% of shoppers opt-in.

Boody funds its exchanges this way and retains $1M+ a year as a result, with a 36.4% global exchange rate. More on how consumer-paid returns actually works.

10. Configure exchange-bonus incentives before the rush

Not mid-rush, when it's too late to change behavior for the current wave. Brands pick flat bonuses over percentage-based ones by roughly 3 to 2, and it shows: Oh Polly's flat £5-on-top nudge more than doubled average returns-order spend, and Brandon Blackwood's flat $10 offer became their go-to push on a bestseller.

BFCM's discounts are exactly the scenario flat bonuses struggle with; when order values drop, a fixed amount can fall below the threshold that makes it meaningful. Worth switching to a percentage of order value for the season specifically.

11. Lock in carrier coverage and rate-shopping

Ahead of volume spikes, before you're paying retail label rates on thousands of returns a week instead of negotiated ones. Contracts built around normal-month volume can silently default back to retail once you cross into a new pricing tier.

Loop merchants save $16.9M+ a year this way, finding the best rate across 100+ carriers on every return instead of defaulting to one.

12. Staff your CX team against last year's return volume

Not order volume, they don't peak the same week. Boxing Day alone saw 183,609 returns across Loop merchants last season, the highest-volume single day on record, roughly 7,650 an hour. But it wasn't even across the day: the single busiest hour was consistently around noon ET, when US returns alone hit 15,881 in that hour last year.

Pull your own hourly return data from last year's peak day and schedule coverage against that actual curve, not an even split across the day, the midday rush needs more hands than the early-morning lull, even if the daily total looks the same either way.

AI prompts to speed this up

Spot which segments need tighter fraud scrutiny, without digging through the data by hand:

Turn your policy decision into real customer-facing language in one pass:

November 27–December 25

Peak: What to watch during BFCM week

Once orders surge, the job shifts from building the system to watching it. BFCM week alone brought in $1.94B in sales across Loop merchants last season, and volume stays elevated all the way to Christmas.

This is also the stretch with the least room to notice something's gone wrong before it's already cost you, a fraud threshold set too loose, a fee costing sales, an incentive that isn't landing rarely shows up in a report fast enough to matter here. What you watch this week is what you can still fix this week.

1. Keep real-time fraud monitoring active

Watch the trend, not just the volume, a rising number of returns scored isn't itself a red flag if your flag rate is falling. More than half of brands still rely mainly on manual review during peak. Watching the trend in real time means catching a threshold problem mid-week, not discovering it in the post-mortem once the damage is already done.

2. Route only flagged high-risk returns to manual review

Let good customers move through untouched, a low-risk return should clear automatically, not sit in the same queue as the ones your team actually needs to look at. That's what routing on risk score means in practice: your team's attention goes exactly where it's needed and nowhere else, not spread evenly across every return regardless of risk.

Princess Polly saw their returns CSAT climb from 80% to 90% after automating what used to be a manual, case-by-case process during their AU-to-US expansion, a fast, consistent answer instead of a back-and-forth for every customer.

3. Make sure customers can edit their own order details and get proactive shipping updates

Before the surge becomes a ticket. WISMO tickets peak 5–10 days after the sale, not on Black Friday itself, so being ready before then protects your CX bandwidth during the exact week it's under the most pressure.

Loop's integration with Klaviyo turns shipping and tracking events into their own triggered flows, so a proactive "your order shipped" or "it's arriving Tuesday" message goes out automatically, before a customer has a reason to open a ticket asking.

4. Monitor exchange and incentive adoption daily

Not just at season's end. Catching an underperforming incentive mid-week means you can still fix it before the wave passes, instead of finding out in a report once it's too late to matter.

When the incentive is right, the upside is real: Oh Polly added a small bonus incentive at the moment of return instead of defaulting straight to a refund, and their returns NPS climbed from 25 to 64, average returns order spend more than doubled to £500 or more, and refund-driven returns dropped 10% in the UK and 20% in the US and Australia.

5. Watch return-fee performance in real time

Fees aren't a fringe practice anymore, 68% of retailers now charge one at least some of the time, up from 43% five years ago, per Loop's own data cited in The Wall Street Journal. But merchants owe customers whatever fee was live when they ordered, not whatever's live when they return, so a mid-week change doesn't touch the returns already in flight, only orders placed from that point on.

What you're actually watching this week is whether your current fee is doing its job: is it just generating friction and complaints (Trustpilot ties returns-related reviews to a ~1.6-star rating hit) without changing behavior? If it's clearly wrong, adjust it now for the orders still coming in, just know the read on whether that adjustment worked won't land until Q5.

AI prompts to speed this up

Catch a fraud-threshold problem while there's still time to fix it:

Get ahead of the WISMO surge before it hits your ticket queue:

December 26–January 31

Q5: What to do with the peak season wave that follows

This is the part of the season most merchants stop planning for, which is exactly why it matters most.

Brands have started calling this stretch "Q5," the returns peak became its own season. 70% of brands say returns shape customer loyalty. Only 10% treat that returns wave as a real operational risk. This is where that gap closes, or doesn't.

The payoff for merchants who close it: retained revenue, the share of return dollars merchants keep instead of refunding, grew 19% YoY last season, even as return dollars overall grew 18%, on an apples-to-apples, same-shop basis across 2,679 merchants active both years. Getting Q5 right is more than just damage control, it's a growth lever in its own right.

1. Plan for the wave to keep growing into January

Roughly a third of a season's total returns land in January, not December. Refund dollars issued between Dec 26 and Jan 15 rose 336% YoY last season, the wave isn't slowing, it's accelerating. This is more than a one-day spike, it's a full season.

Keep CX and fraud-review staffing at BFCM-week levels through mid-January instead of scaling back on Dec 26, and hold your refund-liability forecast open through that same window rather than closing the books on BFCM the moment Cyber Monday looks strong.

Get this right, and January is where you recover that revenue and turn holiday shoppers into higher-LTV repeat customers. Get it wrong, and a good BFCM turns mediocre.

2. Push exchanges and store credit over refunds broadly

Not just on gift returns, gift returns grew 9% YoY vs. 22% for total returns, so the "holiday returns are gift returns" assumption doesn't hold. When merchants make exchanges easy, shoppers take them: 24.5% of returns became exchanges last season, and 55% of those included an upsell, averaging $22 above the value of the returned item.

Store credit alone converts far less often, just 8.2% acceptance, worth knowing if you're deciding where to build first. 87% of consumers would take an exchange over a refund if it were easy enough, that gap is where the money is, and it's the difference between January closing out the season strong or bleeding the revenue BFCM just brought in.

But don’t just take it from us. Chubbies' CFO ran the math directly: a 10% shift from refunds to exchanges was worth roughly $200,000 in incremental annual revenue. Muscle Nation moved 100% of their exchanges through Instant Exchange and retained 55% of the revenue that would otherwise have walked out the door as a refund.

3. Run the fraud post-mortem

Pull your confirmed fraud and chargeback numbers against what your model actually flagged, while it's still fresh enough to trust the read. A high flag rate with few confirmed cases means you tightened too far and slowed down good customers for nothing; a low flag rate with real fraud slipping through means it's time to tighten before next season, not next October.

Automated fraud scoring flagged and prevented $552K across Loop merchants in this window last season, exactly the kind of number this post-mortem either confirms is working or tells you where to tighten. Do this now and next season starts from real data instead of last year's guesses.

4. Analyze return reasons, but read them skeptically

Only 39% of shoppers always give the true reason for a return. Cross-check the patterns against product and listing data instead of taking them at face value: a spike in "wrong size" concentrated on one SKU points to a sizing-chart problem, while a vague "changed my mind" spike spread across many SKUs is probably something else entirely.

Short on time to run that cross-check manually? The AI prompt below does it for you.

5. Send a check-in to BFCM-week customers

About two to three weeks after their order lands, once any return window has passed, not immediately after purchase, when it just reads as another receipt email. Before they've had a reason to think about you again. It's the cheapest moment in the calendar to turn a one-time buyer into a returning one.

Keep it simple: a thank-you note with a small loyalty credit or early access to your next drop, or a short one-question survey asking how the experience went.

AI prompts to speed this up

Turn a season of fraud data into next year's sharper thresholds:

Separate real product issues from polite return-reason noise:

BFCM doesn't end when the sale does, and neither should your prep.

Want this whole checklist in one printable page for your team? Download the PDF here, no email required.

Already on Loop? Check out the BFCM Hub for tactical webinars, videos, and everything else you need to get your return strategy ready for Q5.