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Exceptional holiday service starts before the rush: forecast demand from your own contact history, prepare accurate answers to seasonal questions, make routine help easy to find, and ensure customers can reach a person when an issue needs judgment. During peak weeks, monitor queues and feedback, adjust coverage and routing, and keep order, inventory, shipping, and return information consistent across every customer touchpoint.
This guide is for U.S. retail and ecommerce teams planning for the winter holidays. The National Retail Federation (NRF) defines that retail period as November 1 through December 31, but shoppers often start earlier and many finish purchases in December. The latest seasonal NRF figures available here describe 2025, so they provide context—not a forecast for the 2026 season.
What makes holiday customer service different?
Holiday support has a defined seasonal peak, but its timing and workload vary by business. NRF says November and December holiday sales averaged about 19% of total U.S. retail sales over the five years preceding its 2025 FAQ. That is a historical retail-wide average, not a forecast for any individual business. NRF’s sales measure uses U.S. Census Bureau retail data across a broad set of store and non-store retail categories, excluding automobile dealers, gasoline stations, and restaurants.
For support teams, the practical challenge is not just a possible increase in contacts. Questions about delivery dates, stock, order changes, gifts, and returns can depend on current information from fulfillment and commerce systems. A mismatch between what a customer sees and what an agent can see makes resolution harder, regardless of how many people are on the team.
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Vendor figures can help frame the season, but they should not be treated as universal operating rules. Zendesk’s 2025 holiday article reported that ticket volume can rise by as much as 42%; that is a vendor-reported maximum, not a prediction for every support operation. The same article reported that 67% of customers prefer self-service over traditional support channels, a survey finding that supports making simple answers accessible—not removing human help.
Build a holiday plan from your own demand
1. Analyze last season’s contacts
Pull contact history for the previous holiday period and break it down by week, channel, reason, resolution time, and escalation. Look for both timing and issue patterns: a delivery question may surge before a cutoff date, while return questions may increase after gifts are opened. Compare the period with ordinary weeks so you can distinguish seasonal changes from the team’s normal workload.
Use national retail figures as context, not as a staffing multiplier. NRF estimated 265,000 to 365,000 seasonal retail hires for 2025; that estimate is for retail hiring generally, not customer-service hiring. There is no universal seasonal support staffing ratio established by the sources here. Estimate coverage from your own volumes, handling patterns, service commitments, and available staff.
2. Forecast by week and channel
Create a week-by-week plan rather than treating the whole season as one peak. Use prior contact patterns to estimate when demand may rise, then watch actual volumes and revise the forecast as the season unfolds. Segment by channel because phone, chat, email, and messaging queues do not necessarily behave alike; a shift in channel mix can change both workload and the meaning of productivity measures.
When planning messaging coverage, account for how many conversations agents are expected to handle at once. Zendesk recommends setting messaging capacity limits, training agents before workflow changes, allowing an adjustment period, and updating forecasts based on observed workload. Avoid assuming that an agent can absorb more work simply because a channel is asynchronous.
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3. Plan for the period after the holidays
Do not end the support plan on December 31. NRF notes that the vast majority of returns occur in January, so post-holiday capacity may need to cover return questions and related follow-up. Include January in the forecast and review how the return period changes contact reasons and queue patterns.
Prepare information, tools, and workflows
Refresh answers to recurring questions
Review prior seasonal contacts and identify questions customers repeatedly ask. Update the help center, FAQs, and order information before those questions begin to rise. Zendesk’s holiday guidance recommends using help-article views and ticket patterns to build and maintain FAQs. Prioritize information that lets a customer complete a simple task without waiting, such as finding an existing policy or understanding an order status.
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Keep customer-facing and agent-facing information aligned
Confirm that agents and customers are seeing consistent order status, inventory, shipping, fulfillment, and return information. Salesforce’s 2025 Retail Holiday Planning Guide describes how disconnected systems and manual operations can produce inconsistent experiences. Resolve known data or process gaps before peak periods where possible, and make sure agents know which information is authoritative when systems disagree.
Salesforce reported in that guide that 88% of retailers surveyed agreed unified commerce would significantly affect their goals, while 25% said they could not meet objectives without it. These are survey findings reported in a vendor guide, not proof that a particular system will improve every retailer’s service. The operational point is to reduce conflicting information between shopping and support interactions.
Test routing, escalation, and capacity rules
Walk through common customer journeys before the season: a routine policy question, an order with a delay, a request that needs another team, and an issue the help content cannot resolve. Check that the right queue receives each case and that staff can identify what to do next. Keep triage understandable; a complex routing scheme can be difficult for seasonal staff to learn and customers to navigate.
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For messaging, test workload limits and handoffs under realistic conditions. Train agents before changing a workflow, introduce changes with time to adjust, and monitor the effect on waits and frustration. If service deteriorates, adjust staffing or training rather than relying on the original forecast.
Decide what automation should and should not handle
Use self-service or automation for routine requests that have clear, reliable answers. Preserve a clear path to a person for complex, sensitive, unusual, or unresolved cases. Make the handoff understandable to the customer and ensure the receiving agent can see the context needed to continue. An automated step that repeatedly fails to resolve an issue adds effort rather than removing it.
Salesforce’s 2026 service trends article summarized that 79% of service leaders viewed investment in AI agents as critical. That reflects leaders’ views, not evidence that AI improves service in every deployment. Treat automation as an operational change: define its scope, validate the information it uses, protect customer data, and observe whether it is resolving the intended requests.
Choose the right mix of support approaches
Holiday support is usually a combination of self-service, automation, direct agent help, and reliable customer and order information. The options below are not substitutes for one another: their value depends on the request and the team’s ability to maintain accurate information and a workable handoff.
| Approach | Best suited to | Operational check | Boundary to preserve |
|---|---|---|---|
| Help center and FAQs | Routine questions with stable, clearly documented answers | Use seasonal contact patterns and article views to find missing or outdated content | Provide a route to support when the answer does not fit the customer’s situation |
| Automation or AI | Requests that can be answered consistently from accurate information | Validate information access, privacy safeguards, escalation, and resolution outcomes | Do not trap sensitive, complex, unusual, or unresolved cases in automated steps |
| Human support | Cases that need judgment, investigation, empathy, or exception handling | Monitor queues, feedback, response patterns, and escalations by channel | Give agents current order and policy context, and set realistic capacity expectations |
| Connected customer and order information | Continuity across shopping, fulfillment, and service interactions | Check that customer-facing and agent-facing status, inventory, and policies agree | Access should be governed and information should be validated, not assumed reliable |
Run the operation during peak weeks
Watch more than the queue size
Track contact volume and service quality by channel. Review response and resolution patterns, repeat contacts, customer feedback, and escalations. A growing queue may call for more coverage, but recurring contacts or negative feedback can point to a different cause: missing content, a routing problem, unclear policies, or a training gap.
Zendesk’s 2025 holiday guidance recommends monitoring customer feedback and adjusting staffing or training when wait times or frustration rise. Use those signals together rather than treating a single productivity measure as the whole picture, especially when channel mix is changing.
Communicate only what operations can support
When there is a known delay or availability issue, share clear information grounded in verified order and fulfillment data. Align messages across customer-facing and agent-facing channels so customers do not receive conflicting explanations. The sources support accurate, consistent information but do not establish one universal cadence for delay notices; set updates according to what your business can confirm.
Adjust coverage and escalation paths
Compare actual demand with the weekly forecast and revise coverage as conditions change. If customers are waiting longer, determine whether the issue is total capacity, a particular channel, an unexpected contact reason, or an ineffective handoff. Use feedback and escalation outcomes to decide whether to shift coverage, clarify routing, refresh training, or correct information.
Keep people reachable when a request requires judgment or the customer remains unresolved. Zendesk reported in its 2025 holiday article that 67% of customers preferred self-service over traditional support channels; that survey result is not a reason to make self-service the only option. Make routine help easy while leaving an accessible path to knowledgeable assistance.
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Review results after the season
After the holiday period, compare the plan with actual demand. Review contact reasons, queue and resolution data, repeat contacts, escalations, feedback, and January return-related contacts. Record where forecasts held or missed, which content addressed recurring questions, where handoffs broke down, and which workflow changes affected agent workload. Use those findings to update the next seasonal plan rather than carrying forward assumptions that no longer fit.
Frequently Asked Questions
Frequently Asked Questions
When should a business start preparing for holiday customer service?
Start before the first expected seasonal increase, not on November 1. NRF defines the U.S. winter holiday retail period as November and December, while noting that shoppers often begin browsing and buying earlier. Use your prior contact history to set the preparation timeline for your business.
How can a business provide proactive or predictive support?
Use reliable order, inventory, and fulfillment information to identify issues your team can confirm and explain clearly. Make relevant answers easy to find and communicate verified delays consistently. The sources do not establish a universal notice schedule or a specific predictive-support system.
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Use feedback, repeat contacts, and escalations to look for causes beyond staffing, such as confusing content, poor routing, inadequate training, or inconsistent order information. The appropriate adjustment depends on which pattern the team finds.
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