How to Prep Your Return Process for the Holidays | 2026 Guide
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In this blog
TL;DR – Summary
Holiday returns hit DTC brands harder than omnichannel retailers because every item funnels into a single node with no store network to absorb overflow. The decisions that determine January performance — carrier contracts, staffing, and system configuration — all have September deadlines.
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90-Day Planning Window – September decisions determine January outcomes
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Volume Sizing – 17% of holiday sales return on average
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Carrier Negotiation – Peak surcharge deadlines pass before most teams plan
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RMS Configuration Lag – New return rules need weeks to test safely
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Seasonal Staffing – Agency capacity fills by October not November
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Return Fraud Risk – Holiday windows raise fraud rate above 9%
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Cost-Per-Return Math – Calculate your own number before committing budget
Introduction
Most DTC ops teams start planning holiday returns in December. By then the decisions that determine January performance have passed their deadlines. Carrier surcharge schedules are published, staffing agencies are booked, and there is no time to test a new returns flow before volume arrives.
Here is the scale you are planning against. The NRF and Happy Returns 2025 Retail Returns Landscape, still the most recent annual edition heading into the 2026 season, put the ecommerce return rate at 19.3% and reported that retailers expect 17% of holiday sales to come back.
For a brand generating $5M in holiday revenue at a $75 average order value, that is roughly 11,000 orders. Apply your category return rate, and the January return count follows directly.
This guide gives ops managers a 90-day timeline, a six-step checklist with benchmarks, a fraud-flagging approach, and an exchange-first configuration sequence. It is written for the person building the plan, and it is organized around a single premise: the work that decides January happens in September.
Why Holiday Returns Become an Ops Crisis Without Early Preparation
Three failure modes turn a predictable event into an emergency, and each has a deadline earlier than most teams expect.
The first is carrier cost and capacity. Peak demand surcharges are published months ahead and apply to inbound return labels moving through the same network as outbound parcels.
On the company's Q2 2025 earnings call, UPS CEO Carol Tomé noted that about 100 customers drive 80% of the surge during peak, and that the carrier ordinarily receives customers' peak plans at the end of August with final plans at the end of September. If you are not on that list with a projection, you are a low-priority account negotiating rates late.
The second is RMS configuration lag. Setting up new return rules, testing fraud logic, and training staff on exception handling takes weeks. A platform change started in November will not be tested and stable before the January surge.
The third is staffing lead time. Seasonal warehouse hiring through agencies runs several weeks, and agency capacity fills through October. The demand for seasonal help is not a rumor: in the NRF returns survey, 43% of retailers said they plan to hire seasonal staff specifically to handle returns. A mid-November request competes for people who were hired in September.
The DTC Disadvantage: No Store Drop-Off Buffer
Omnichannel brands absorb returns across retail locations. Pure DTC brands cannot. Every returned item flows back to one fulfillment node or a single 3PL, concentrated rather than distributed. The practical consequence is that there is no store network to soak up overflow when the node hits capacity, so a receiving backlog turns directly into delayed refunds and support tickets. That is the specific reason centralized preparation matters more for DTC than for retailers with a store footprint.
The Numbers Every DTC Ops Manager Needs Before Planning Season
Treat each figure below as a planning input. The return rate and holiday percentage come from NRF's current report; the category ranges are widely cited industry bands, and per-return cost varies enough by category that it should be treated as a range, not a point estimate.
| Metric | Benchmark | Source and how to use it |
| Ecommerce return rate | 19.30% | NRF / Happy Returns 2025 Landscape. Baseline for sizing total return volume. |
| Holiday sales returned | 17% of holiday sales | NRF: an absolute rate for holiday orders, consistent year over year. |
| Apparel return rate | ~20–40% | Industry band; sizing and fit drive the high end. Verify against your SKU history. |
| Electronics return rate | ~8–15% | Industry band; confirm with your own category data. |
| Beauty return rate | ~4–12% | Industry band; widespread by subcategory. |
| All-in cost per return | range, not a point | Published estimates vary widely by category; calculate your own from shipping, labor, restocking, and write-downs. |
| Return fraud | 9% of all returns | NRF 2025 Landscape; gift anonymity and extended windows raise seasonal risk. |
| Seasonal staffing intent | 43% of retailers | NRF: retailers hiring seasonal staff specifically for returns. Signals how early agency capacity fills. |
Work an example with your own numbers. If apparel returns run 30% and you project 10,000 holiday orders, you are planning for 3,000 returns. Multiply that by your measured cost per return, not a headline figure, and you have the operational cost of the season before any refund is issued. That number, in your own data, is the argument for building the system now rather than reacting in January.
How to Prepare Your Return Process for the Holidays: A Six-Step Ops Checklist
Work these in order. Each step has a deadline earlier than most teams assume, and later steps depend on earlier ones being done.
1. Audit Your Return Policy and Extend the Holiday Window
Review your current policy, then extend the window to January 31st for purchases made from November 1st onward. Policy clarity is operational, not cosmetic: unclear terms push avoidable status questions into your CS queue during the weeks it can least absorb them.
A holiday policy that works states the exchange-first option, specifies refund timing (a common operating standard is within five business days of receipt), and appears on the product page, cart, and checkout.
Extending the window is better read as a conversion lever than a giveaway, since it reduces gift-purchase hesitation. However, it does lengthen the return tail into late January, which is the trade-off to plan receiving capacity around.
2. File Carrier Return Volume Projections Before Peak Surcharges Take Effect
Pull last year's return label data by carrier, project forward for growth, and get it to your UPS, FedEx, and USPS reps before late September. The reason is concrete rather than general: carriers calculate peak demand surcharges against a baseline built from earlier-year volume, and accounts that spike above baseline without a filed plan can trigger higher per-package charges.
The timing is not arbitrary. UPS published its 2025 peak demand surcharges, with fees taking effect at the end of September, and its CEO said on the same summer earnings call that customers were pushing peak plans later into September amid demand uncertainty. Filing early is the cheapest available lever on return shipping cost, because it is negotiation rather than spend.
3. Configure Your RMS for Exchange-First Flows Before Black Friday
Set your returns management software to present an exchange or store-credit option before it shows the refund button. This tends to move refund rate more than most policy edits, because it acts at the moment of decision without changing who is eligible to return.
Configure the incentive threshold, define eligible SKUs, and run the flow end-to-end before mid-October. The catch is that an exchange offer only converts if inventory and variant data are accurate, so the configuration work is really data-hygiene work; budget time for cleaning the catalog, not just flipping a setting.
4. Set Fraud-Flagging Rules in Your RMS
Configure automated flags for wardrobing (high-value items returned within a day or two), weight anomalies against the original shipment, and return-rate outliers by account.
The operational nuance that matters: flag for manual review, do not auto-reject. Auto-rejection during the holidays creates friction for legitimate gift returns and damages a relationship you paid to acquire.
Fraud is a sizeable line, not a rounding error. The NRF 2025 Retail Returns Landscape found 9% of all returns are fraudulent, and it reported that a large majority of retailers are now deploying AI to detect return fraud, which is worth knowing if you are evaluating whether manual review alone will scale through peak.
5. Cross-Train Warehouse Staff and Complete Hiring by November 1st
Cross-train outbound pickers to handle return receiving and triage, and lock seasonal hires by November 1st. Agency capacity fills through October, so a mid-November request tends to produce undertrained or unavailable people during the January peak.
Build a return-receiving SOP with grade-based disposition logic so staff makes consistent restock-versus-writedown calls, and run one tabletop simulation on a realistic peak-volume day before it counts.
6. Activate Proactive Customer Communication Before Peak
Update the website FAQ, deploy return-status query flows, and build a returns-status notification sequence in your ESP or OMS before November 1st. Proactive status updates keep routine questions out of the CS queue, which protects agent capacity for the exceptions that actually need a human.
Three touchpoints do most of the work: a post-purchase email within 24 hours explaining the holiday window, an automated status update at each milestone (received, inspected, refund issued), and a holiday-specific FAQ refresh. Worth considering if your CS team is small: this is the step that most directly reduces peak-season ticket load.
The 90-Day Holiday Returns Readiness Timeline
When should ecommerce brands start preparing for holiday returns? No later than September 1st. The key milestones are carrier volume projections filed before late September, RMS configuration and policy updates complete by mid-October, and staff training finished by November 1st, roughly two weeks before peak shopping begins.
September (90 Days Out): Infrastructure and Carrier Commitments
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File carrier volume projections with UPS, FedEx, and USPS
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Audit your RMS platform for holiday scale and capability gaps
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Begin seasonal staffing recruitment
October (60 Days Out): Policy, Configuration, and System Testing
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Finalize and publish the holiday return policy across product page, cart, and checkout
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Complete RMS exchange-first and fraud-rule configuration
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Run an end-to-end returns flow test
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Finish the warehouse cross-training SOP
November 1st (30 Days Out): Staff, Communication, and Readiness Validation
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Onboard and train seasonal hires
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Take customer-facing comms live (FAQ, post-purchase email sequence)
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Complete the tabletop simulation exercise
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Run a go / no-go readiness check against the checklist
The timeline matters because the peak is concentrated. UPS has for years identified the days just after New Year's as its heaviest returns period. In its 2025 holiday operations update, the carrier described peak as the moment retailers depend on for both delivery and returns. Brands that start in November have already passed the carrier and staffing windows that decide how that month goes.
How ClickPost Supports Each Step of Holiday Returns Preparation
If you are evaluating tools while building this plan, here is how ClickPost's post-purchase suite maps to the steps above. Each capability connects to a specific step, and the operating claims below come from ClickPost's own product reporting, so weigh them as vendor figures to verify against your own data during a trial.
The platform runs the exchange-first flow from Step 3 by offering an exchange or store credit before a refund, with one-click size and color swaps. ClickPost reports that this approach retains 21% of returns as exchanges or store credit, and that AI-driven policy segmentation, which operationalizes the fraud and eligibility rules from Steps 1 and 4 by applying stricter policies to identified high-return accounts, protects 30% of revenue through eligibility enforcement. Treat both as figures to confirm on your own volume.
For the earlier steps, the same platform handles multi-carrier return label generation and two-way tracking, supporting carrier coordination in Step 2 and proactive status updates in Step 6 from a single dashboard rather than separate tools.
Order editing reduces returns at the source by letting customers correct size, color, or address errors before fulfillment. The argument for a connected suite is narrow and practical: when policy, exchanges, tracking, and risk scoring share one data source, there is less manual reconciliation to do before peak, which is exactly the work that runs short on time in November.
Pre-Holiday Returns Readiness Checklist
By September 15th
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Carrier volume projections filed with UPS, FedEx, and USPS
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RMS platform holiday-readiness audit complete
By October 15th
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Holiday return policy published (product page, cart, checkout)
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Exchange-first flow configured and tested in the RMS
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Fraud-flagging rules set (wardrobing, weight anomaly, rate outlier)
By November 1st
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Seasonal hires onboarded and SOP-trained
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Customer-facing return comms live (FAQ, post-purchase email)
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Disposition triage SOP distributed to the warehouse team
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End-to-end returns flow test complete
Conclusion: The Season Is Decided in September
Holiday returns performance is set in September and October, well before the returns themselves arrive. Ops managers are running this alongside Q4 outbound, carrier negotiations, and inventory planning, so preparation has to be systematic rather than heroic.
The brands that come out ahead treat readiness as a repeatable system: documented SOPs, configured RMS rules, carrier plans filed on time, and trained staff in place before peak. Built once, it compounds, so each season starts from a working baseline instead of from zero.
If you want to operationalize policy by customer segment and run exchanges before refunds, ClickPost's returns and exchanges platform is a reasonable place to see what that configuration looks like in practice. Confirm the reported retention and revenue-protection figures against your own catalog before you commit.
Frequently Asked Questions: Holiday Returns Preparation
How do I prepare for an increase in returns after the holidays?
Start in September, not December. File carrier volume projections, audit your RMS configuration, and complete warehouse cross-training before November 1st. A phased 90-day timeline covering infrastructure in September, policy and systems in October, and staff and comms in November is a workable standard for DTC brands managing the January surge.
When do most holiday returns happen?
The heaviest volume arrives in the first weeks of January. UPS has historically flagged the days just after New Year's as its busiest returns period. Brands using extended holiday windows see a longer tail into late January, so plan peak receiving capacity for the first two full weeks of the month.
What is a good return policy for the holiday season?
A workable holiday return policy extends the window to January 31st for purchases made from November 1st onward, presents the exchange option before the refund option, specifies refund timing (commonly within five business days of receipt), and appears at the product page, cart, and checkout rather than buried in an FAQ.
How do ecommerce brands handle post-holiday return surges?
Most rely on three levers: pre-configured RMS automation such as exchange-first flows and auto-approval for low-risk returns, cross-trained warehouse staff who can move between outbound and return receiving, and proactive customer communication that deflects routine status contacts before returns arrive.
Should I extend my return window for the holidays?
For most gift-heavy brands, yes, and it is better framed as a conversion lever than a cost. Extended windows reduce purchase hesitation during gift shopping and, paired with an exchange-first flow, can convert a share of returns into retained revenue. The condition where it may not suit you is a high-fraud category where a longer window widens exposure, which is why fraud-flagging in Step 4 matters alongside it.
How do I reduce return rates during the holiday season?
Reduction starts before purchase: accurate descriptions, size guides, and visible reviews cut mis-expectation returns. Post-purchase, order editing lets customers fix size or color before shipment, removing avoidable returns. Identifying high-return-risk SKUs before the holiday catalog goes live lets ops teams flag or bundle those items.
What is reverse logistics and how does it apply to holiday returns?
Reverse logistics is the process of moving goods from the customer back to the seller or disposal point: return shipping, receiving, inspection, and disposition (resell, refurbish, liquidate, or donate). Holiday volume concentrates this work into a few weeks, which is why pre-planned carrier capacity, warehouse space, and disposition workflows keep returns from bottlenecking available inventory.
How can I turn holiday returns into repeat purchases?
Present an exchange or store-credit option before the cash refund, since exchange-first flows retain a share of would-be refunds as revenue rather than losing the sale. Follow every completed return, exchange, or refund with a targeted reactivation email within about a week featuring the customer's browsed or purchased category.
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