Holiday Shopper Insights Research Guide 2026: How to Protect Sales Without a Price War

From Thanksgiving and Black Friday to Cyber Monday, Christmas and New Year, the final weeks of 2026 bring several major shopping moments into a short period. Shoppers are watching every dollar. Brands are watching every margin. Discount too much and you give away profit; hold the price without a strong reason and shoppers may leave your product out of the basket.

The opportunity is to understand what people still believe is worth paying for. TGM's guide focuses on how holiday shopper research can help you protect product value and find stronger reasons for shoppers to keep your product in the basket.

Built for retailers, consumer brands, marketers and research teams, our guide covers the key 2026 holiday shopping trends, what to measure, how to use shopper insights, and how to conduct the research from planning through post-season learning.

The key holiday shopping trends in 2026 are more selective spending, stronger value scrutiny, protected holiday budgets and wider use of AI for product comparison and gift discovery. Economic pressure remains visible, but shoppers are making deliberate trade-offs rather than reducing every part of the holiday equally.

Year-end sellers are being squeezed from both sides. Your costs may rise because of tariffs, materials, logistics or labor, while shoppers become more sensitive to the final price. Passing every cost increase directly to the shopper can weaken demand, yet cutting product quality too aggressively can damage the value that made people choose the product in the first place.

That leaves several possible responses: raise the price, reduce the pack size, simplify packaging, change product specifications or introduce a lower-priced format. Holiday shopper research helps you understand which parts of the offer consumers are willing to compromise on and which parts they expect you to protect.

For example, imagine a skincare product becoming more expensive to produce. You could test:

• a smaller pack with the same formulation
• simpler packaging with the same product inside
• the current product at a slightly higher price
• a lower-priced entry size for budget-conscious shoppers.

If shoppers accept a smaller pack but strongly reject a weaker formulation, the research may give you a direction: reduce the financial commitment without weakening the product quality they value most.

Holiday shopping is stretching well beyond the traditional November–December peak. Consumers are researching gift ideas and comparing products weeks before major promotional events begin.

Microsoft Advertising reports that the average holiday conversion journey now lasts 52 days. October generates the first click for 56% of November conversions and 35% of December conversions, while 63% of U.S. shoppers start before Halloween.

TGM’s own Christmas Consumer Insights 2025 also shows that the start of holiday shopping differs across markets. Among surveyed consumers, early November was the most common planned starting time in Germany (21%) and the U.S. (22%), while other markets leaned later into mid-November or early December.

AI is becoming part of holiday consideration, particularly when consumers need help processing more choices.

McKinsey found that 46% of surveyed U.S. consumers planned to definitely or probably use AI during holiday shopping. Among likely users, product or price comparison and deal finding were among the leading uses.

PwC reported in their Holiday Outlook 2026, that 29% planned to use AI somewhere in their holiday journey, up from 22% the previous year. Product research and price comparison led usage, while physical stores remained important for discovery and purchase.

Technology is making the functional side of holiday shopping easier, from product comparison to gift discovery. The final gift, however, still needs to feel meaningful to the person receiving it.

Economic pressure is influencing budgets, while wider social uncertainty is also shaping the type of gifts some consumers prefer.

Salsify's 2026 Holiday Pulse found that 51% of surveyed shoppers said stressful news influenced their shopping in some way. The research also shows different responses across audiences: U.K. and Canadian shoppers lean more toward practical and useful gifts, while U.S. shoppers and Millennials show stronger interest in comforting and supportive gifts.

The pattern adds another layer to holiday value. Consumers under uncertainty are not only reconsidering how much they spend; some are reconsidering what kind of purchase feels worthwhile. Utility, comfort and emotional reassurance can become part of the gift decision alongside price.

The key areas to measure in holiday shopper research are holiday budgets, perceived value, product priorities, gifting motivations, promotion response, purchase confidence, shopping journeys and AI-assisted behavior.

Holiday shopper research is a form of consumer insights research focused on the specific decisions people make during the year-end shopping period. The research methods may be familiar, but the context creates additional complexity.

The table below turns each research area into a practical question you can test with holiday shoppers.

Holiday consumer research becomes commercially useful when it helps you decide what to protect and what to change. During year-end shopping, that can mean defending product quality, adjusting the offer, reducing purchase hesitation, or finding a stronger reason for shoppers to keep your product in a tighter budget.

The research should therefore move beyond describing holiday behavior. It should help answer a practical question: what action gives you a better chance of protecting sales without sacrificing margin?

Year-end sellers are being squeezed from both sides. Your costs may rise because of tariffs, materials, logistics or labor, while shoppers become more sensitive to the final price. Passing every cost increase directly to the shopper can weaken demand, yet cutting product quality too aggressively can damage the value that made people choose the product in the first place.

That leaves several possible responses: raise the price, reduce the pack size, simplify packaging, change product specifications or introduce a lower-priced format. Holiday shopper research helps you understand which parts of the offer consumers are willing to compromise on and which parts they expect you to protect.

For example, imagine a skincare product becoming more expensive to produce. You could test:

• a smaller pack with the same formulation
• simpler packaging with the same product inside
• the current product at a slightly higher price
• a lower-priced entry size for budget-conscious shoppers.

If shoppers accept a smaller pack but strongly reject a weaker formulation, the research may give you a direction: reduce the financial commitment without weakening the product quality they value most.

Price sensitivity research should explain why shoppers accept or reject a price, not only where purchase intent starts to fall. During the holiday season, willingness to pay can change because of the buying context as well as the value shoppers see in the product itself.

Some cases are the purchase context. The same shopper may judge an identical product differently depending on why they are buying it. A €12 box of chocolates may feel expensive as an everyday snack, yet reasonable as a Christmas gift. A premium beverage may lose to a cheaper alternative for routine consumption while gaining appeal for a holiday dinner. So, the gifting occasion changes what the product represents and how much the shopper feels comfortable spending.

A second case is product value within the same gifting situation. Imagine a pair of wireless headphones positioned as a holiday gift at $120. You could compare two clear value propositions:

• Keep the $120 price and strengthen the premium benefits: Highlight features such as effective noise cancellation and longer battery life. Research can show if shoppers see enough everyday usefulness in those benefits to justify paying more for the gift.
• Offer a $90 version that keeps the core listening experience: Maintain sound quality and comfort while removing premium functions such as advanced noise cancellation or extra accessories. The test shows which features shoppers are willing to give up to reach a more comfortable holiday price.

The comparison helps separate affordability from value perception. If shoppers still reject $120 after the premium benefits are clear, price is likely the stronger barrier. If willingness to pay improves once the long-term benefit becomes easier to understand, the higher price still has value that can be protected.

A holiday promotion can change shopper behavior. If someone already planned to buy the product at full price, giving them 20% off reduces your margin without creating an additional sale.

Holiday shopper research can compare different offer structures, such as:

• direct price discounts;
• bundles or gift sets;
• free shipping above a minimum spend;
• loyalty rewards or added-value benefits.

The key is to measure more than which promotion shoppers prefer.

Your research should estimate which offers are most likely to change purchase behavior, increase intended basket value, encourage trade-up or accelerate purchase timing.

For example, test: Would you still buy this product without the promotion?

and: Would this offer make you buy earlier, spend more or add another product?

Suppose shoppers say they prefer 20% off, but free shipping generates almost the same purchase intent while encouraging a larger basket. Free shipping may create stronger commercial value even if the direct discount looks more attractive at first.

Where possible, these findings should then be validated against transaction data or controlled in-market tests to determine whether the promotion creates genuinely incremental sales.

Holiday assortment decisions should reflect how shoppers actually allocate limited year-end budgets, not only what sold well in the previous season. Past sales can show what performed before, but they do not always explain which formats, price points or gifting options will feel most relevant under current budget pressure.

Research can help you decide which offers deserve shelf space and campaign support.

Imagine a beauty retailer choosing between:

• a premium gift set with several full-size products;
• smaller gift sets at more accessible price points;
• build-your-own gift options;
• standard products with seasonal packaging.

Instead of testing each option in isolation, place shoppers in a realistic purchase situation: You have $60 left in your holiday budget and still need a gift for a colleague. Which option would you choose?

Then vary the budget or recipient relationship. A shopper buying for a close family member may accept a larger premium set, while the same person may prefer a smaller or more flexible option for a colleague.

That gives you a stronger basis for deciding which products to stock more deeply, which price points need broader coverage, and which gift formats deserve campaign visibility during peak demand.

Holiday gifting is different from everyday shopping because the buyer is choosing for someone else. The decision is therefore shaped by more than product quality or price. The buyer also wants confidence that the gift feels useful and personal for the relationship.

Shopper research can uncover the human outcome behind that purchase. Instead of asking only “Why would you buy this product?”, explore questions such as:

• What do you want the recipient to feel when they receive it?
• What makes the gift feel thoughtful rather than generic?
• Which benefit makes the product feel relevant to that person?
• What gives you confidence that you chose well?

The insight can then change how the product is presented.

For example:

• “Premium wool” focuses on the material. “Something they can reach for every winter” connects that quality to lasting comfort and usefulness.
• “Large-capacity coffee machine” describes a feature. “More relaxed coffee mornings together at home” explains the experience the gift can create.

The product proof still needs to stay clear. Human marketing adds the missing layer: why that feature is valuable in the recipient’s life.

At TGM, we believe strong holiday communication starts with understanding the human outcome behind the purchase. The most effective message does not simply repeat product features; it shows why those features help the buyer choose something that feels meaningful for another person.

Holiday demand is rarely distributed evenly across every SKU. During Black Friday, Cyber Monday and the weeks before Christmas, shopper research can help determine which products deserve more inventory and greater campaign visibility.

Rather than applying the same discount across the range, you can test how shoppers respond to different SKU roles:

• Volume-driving SKUs: Products that attract broad demand and justify deeper stock or stronger promotional visibility.
• Margin-protecting SKUs: Products shoppers still choose at a higher price because specific features or benefits support the premium.
• Trade-up and trade-down options: SKUs that show how shoppers move between entry, mid-range and premium products when budgets or promotions change.
• Promotion-dependent SKUs: Products that need a discount or added value before shoppers consider buying them.

Combined with sales and inventory data, these insights give you a stronger basis for deciding where to increase stock, which SKUs to feature heavily and where deeper discounting adds little commercial value.

AI adoption alone does not tell you how shoppers want to use it during the holiday journey. Research needs to identify which decisions shoppers are comfortable delegating to AI and where they still want personal control.

For example, shoppers may value AI support for:

• Product comparison: comparing prices, specifications or reviews across several options.
• Shortlisting: reducing a large product range to a smaller set based on recipient interests.
• Budget matching: finding gift options within a fixed spending limit.
• Information simplification: summarizing technical differences so products are easier to evaluate.

Research can then test where that support should stop.

For example: Would you use AI to recommend five gifts for your partner based on their interests?

versus: Would you let AI select the final gift for you?

The difference between these responses shows where AI reduces shopping effort and where human judgment remains important.

Holiday shoppers don’t rely on one channel from discovery to checkout. A product may first appear on social media, get compared through search or AI tools, be checked in-store, and then be purchased online.

Research should therefore measure what job each channel performs, not only which channels shoppers use.

A useful journey framework is:

• Discovery: Where did the shopper first notice the product or gift idea?
• Evaluation: Where did they compare prices, features, reviews or alternatives?
• Reassurance: Which channel gave them enough confidence to move forward?
• Purchase: Where did the final transaction happen?

For example, social media may generate strong discovery, while physical stores provide reassurance through product inspection or staff support. Search and AI tools may play a stronger role in comparison before the shopper returns to a retailer site to purchase.

Holiday purchases are strongly influenced by recommendations from people shoppers trust. Consumer research can help you understand what makes customers confident enough to recommend your product to friends or family.

Recommendation intent can come from areas:

• Product experience: Which aspects of quality, performance, reliability or value give customers a strong reason to recommend the product?
• Communication: Which product benefits or messages are simple and convincing enough for customers to repeat when explaining the product to someone else?
• Purchase confidence: What proof, reviews or customer experiences make a recommendation feel credible?
• Recommendation triggers: Which experiences make someone think, “You should get this too” or “This would make a good gift for someone you know”?

For example, a customer may describe a pair of headphones as “really good quality.” Research can go deeper and find that long battery life and comfortable all-day wear are the specific benefits they actually mention when recommending it.

Holiday shoppers should not be treated as one audience. Gen Z, Millennials and older generations may differ in how they discover products, evaluate value, respond to promotions and complete purchases.

Holiday shopper research can compare generations across areas such as:

• Discovery: social media, search, AI tools, retailer websites or recommendations from friends and family.
• Value priorities: price, product quality, convenience or gifting meaning.
• Promotion response: direct discounts, bundles, free shipping or added-value offers.
• Purchase journey: online research, store visits, marketplace use or direct retailer purchase.

For example, Gen Z responds strongly to social discovery and AI-assisted recommendations, while Millennials may place more weight on convenience, product usefulness or family-related gifting needs. Older shoppers may rely more heavily on familiar retailers or personal recommendations. These patterns should be tested within the target market rather than assumed.

A useful holiday shopper study starts with a business decision and follows that decision through research design into execution and action. The process includes framing the holiday business decision, designing the research, building and validating the research instrument, executing controlled fieldwork, and converting the evidence into business action.

Start by identifying what you need to decide and what you still do not know. Holiday research becomes vague when the brief begins with “understand holiday shoppers” rather than a specific commercial problem.

1. Define the business decision

Be precise about the action the research needs to support. For example:

• choose between two promotional structures;
• decide which products deserve holiday investment;
• set a new price or pack strategy;
• choose the strongest campaign proposition.

A useful brief might ask: Should we reduce the price of our core gift product, introduce a smaller format, or protect the current price with stronger value communication?

That gives the study something concrete to resolve.

2. Review existing evidence and working assumptions

Before collecting new data, check what you already know from sales, e-commerce analytics, campaign performance or previous research.

Then identify the gap.

For example, declining units combined with stable revenue may suggest shoppers are buying fewer products at higher prices. Research is then needed to understand why purchases are being removed and what keeps certain products in the basket.

This step prevents you from paying to rediscover information already available internally.

Turn the evidence gap into a research plan that reflects the people and comparisons behind the decision.

1. Finalize the research objectives

Translate the business problem into questions the study can answer.

If the commercial problem is margin pressure, objectives might include:

• measure acceptable price ranges;
• identify product attributes shoppers protect;
• compare alternative offer structures;
• understand which changes create purchase resistance.

Keep each objective connected to a decision. Remove questions that are interesting but will not change what the team does.

2. Define the right shoppers

Recruit people who realistically face the decision you are studying. Depending on the project, that might mean:

• recent buyers in the category
• people planning to buy the category as a year-end gift
• household members responsible for holiday purchasing
• shoppers within a specific spending or recipient context

Also, a category user is not always the buyer. Someone who drinks the coffee may not choose which machine enters the household, and someone receiving skincare as a gift may never have participated in the purchase.

Screening needs to identify the actual decision-maker or purchase influencer.

3. Choose the right research approach

Match the method to the decision you need to make. Different approaches answer different parts of the holiday shopping question:

• Online surveys: quantify shopper behavior, compare segments and test structured alternatives across a larger sample.
• Qualitative interviews or focus groups: explore why shoppers reject an offer, what makes a gift feel valuable, and how they describe their decision in their own words.
• Choice-based exercises: use conjoint, MaxDiff or forced-choice tasks when you need to understand trade-offs between price, features, pack formats or promotional offers.
• Behavioral or in-market data: combine survey findings with sales, search or campaign performance to check how stated preferences compare with actual shopping behavior.
• Mixed-method research: combine stated preferences with choice exercises and real behavior when one source alone does not explain the full decision.

Based on TGM’s research experience, combining complementary methods gives a more reliable view of the shopper decision than relying on a single source of evidence. For example, an online survey may show that shoppers value sustainable packaging. A discrete-choice exercise could reveal that sustainability becomes less influential when shoppers have to trade it against a $5 price difference. Ecommerce data may then show that delivery certainty has a stronger relationship with conversion during the final week before Christmas.

These findings are not contradictory. They capture different layers of the same purchase decision: what shoppers say they value, what they choose under trade-offs, and what ultimately happens in the market.

The questionnaire and research materials need to recreate the holiday buying decision closely enough for respondents to make realistic trade-offs rather than give abstract opinions.

1. Design the questionnaire around the shopper decision

Structure questions around how the purchase develops, rather than around internal business teams:

Current situation → planned purchases → budget pressure → trade-offs → product or offer evaluation → final choice

Use realistic scenarios whenever you are testing price, promotions or product value. For example, instead of asking: Do you like free shipping?

present an actual choice: Product A costs $65 with free shipping. Product B costs $58 plus $8 delivery. Which would you choose?

The second approach shows how shoppers weigh total cost against the offer, which gives you stronger evidence for pricing and promotion decisions.

Research stimuli also need enough context to support a credible choice. Depending on the study, show:

• the product and key benefits;
• regular and promotional prices;
• delivery, return or warranty conditions;
• relevant holiday or recipient context.

2. Localize and pilot the study

Holiday shopping behavior differs by market, so the instrument needs to feel natural to respondents in each country while keeping the core research logic consistent.

Localize elements such as:

• gifting occasions and seasonal terminology;
• prices, currencies and realistic spending ranges;
• retailer, marketplace or channel context;
• recipient relationships and locally relevant gift situations.

Before full fieldwork, run a pilot with a small group of target respondents. Check question comprehension, scenario realism, answer coverage and survey length.

From TGM’s research experience, pilot testing is especially useful for pricing exercises promotional scenarios, where small wording or context problems can change how respondents evaluate the options.

Pay particular attention to questions where respondents hesitate, interpret options differently, or repeatedly choose “other.” Those signals can reveal problems in the questionnaire before they affect the full dataset.

Fieldwork quality is very important because even a well-designed questionnaire produces weak evidence when the wrong people enter the study or poor responses remain in the data.

If your team already has a reliable respondent source, survey platform and established quality checks, fieldwork and basic data processing can be managed in-house. External research support becomes more useful when you need broader or niche recruitment, multi-market coordination, stronger fraud controls, or additional help with data cleaning and processing before analysis. The right setup depends on the scale and complexity of the study.

1. Recruit qualified respondents

Screen respondents against the audience definition established earlier. Depending on the study, screening criteria may include:

• Holiday purchase responsibility: whether the respondent personally chooses or pays for holiday gifts.
• Category involvement: recent purchase, planned purchase, or active consideration of the product category.
• Recipient type: who they are buying for, such as a partner, family member, colleague, or child.
• Holiday shopping timing: whether they have already started shopping, are currently comparing options, or plan to buy later in the season.
• Spending level: expected holiday budget or category-specific spend.
• Brand or retailer relationship: existing customer, competitor buyer, or new-to-category shopper.

For example, if the study concerns holiday electronics gifts, respondents should have recent or planned involvement in electronics gifting, rather than simply celebrating Christmas or participating in holiday shopping generally.

For niche audiences, check feasibility before launch so quotas are filled with genuinely relevant shoppers rather than weaker screening criteria.

2. Manage quotas and fieldwork timing

Track sample composition while responses are coming in, including priority groups such as age, market, buyer type or category behavior.

Holiday timing also changes the context. A shopper surveyed in September may still have a flexible budget, while the same shopper in December has already seen real promotions, checked availability and spent part of that budget.

Treat the research date as part of the study context rather than only an operational detail.

3. Monitor survey performance

Watch for signs that either respondent quality or the questionnaire itself is creating problems:

• unexpected drop-off at specific questions;
• unusually fast completion;
• inconsistent answers across related questions;
• weak engagement with open-ended responses.

If respondents repeatedly struggle with a pricing exercise or abandon one section, the problem may sit in the instrument rather than the audience.

4. Control respondent and data quality

Review incoming data for suspicious participation, duplicates, low-quality responses and behavioral inconsistencies throughout fieldwork.

At TGM, this quality layer is supported by Research Shield, alongside project-level screening and ongoing fieldwork monitoring.

Running quality checks during collection gives you time to investigate problems, replace invalid responses and protect the dataset before analysis begins.

The final stage brings the findings back to the decision established at the beginning.

1. Analyze the findings around the original business question

Organize the results around the decision the research was designed to support, rather than following questionnaire order.

If the original question concerned price pressure, bring together evidence on:

• Price resistance: Where does willingness to buy begin to fall?
• Value protection: Which benefits help shoppers accept the current price?
• Segment differences: Which shopper groups respond differently?
• Alternative offers: Which price, pack or promotional option performs better?

Then prioritize the findings that are strong enough to support action. Consider:

• Size of the opportunity: How many relevant shoppers does the finding affect?
• Strength of the difference: Is the gap large enough to change a commercial decision?
• Sample reliability: Is the finding supported by enough respondents?
• Consistency: Does it align with related questions or behavioral evidence?

For example, a small segment may strongly prefer a holiday gift bundle, while a much larger group says easier returns would increase confidence at the current price. The second finding deserves greater attention because it addresses a broader purchase barrier.

3. Turn findings into specific actions

Research becomes useful when each major finding leads to a clear business response. Connect the insight to what needs to change and how success will be measured. For example:

Holiday shopper research works best across the season rather than as one study close to year-end. What you need to learn changes as shoppers move from planning to actual purchasing and post-holiday evaluation.

A single research wave can still work when the decision is narrow. Larger year-end programs benefit from multiple checkpoints because early intentions and actual December behavior can tell different stories.

The key is to conduct research while the finding can still influence the decision. Testing too late may explain what happened, but it cannot recover the sales or margin opportunity that has already passed.

Holiday shopper studies can range from a focused pricing question to a multi-market year-end research program. TGM Research supports different levels of research depending on how much of the process you want to manage internally, across sectors such as retail and e-commerce, consumer electronics, FMCG and food & beverage, beauty and personal care, and fashion and apparel.

1. Recruit the right holiday shoppers with Sample-Only research

Use TGM's Sample-Only service when you already have the questionnaire and research setup but need access to qualified respondents. Through TGM’s online panel network across 130+ countries, we can support local and multi-country holiday studies with access to audiences such as:

• general holiday shoppers;
• recent category buyers;
• gift purchasers;
• specific shopper segments.

This option works well when your team wants to keep control of the questionnaire and analysis while TGM supports respondent access and fieldwork quality.

2. Run the full holiday study with Full-Service research

Choose Full-Service research when you need support beyond respondent recruitment.

TGM can manage the broader research process, including:

• questionnaire development;
• survey programming and fieldwork;
• data processing and analysis;
• reporting and insight delivery.

This is useful when the holiday question involves several decisions, such as pricing, promotion, assortment or campaign strategy, and you want one research partner to manage the study from setup to findings.

3. Get faster answers with TGM Global Omnibus

An omnibus study is useful when you need answers to a smaller number of holiday questions without launching a standalone custom survey.

You might use it to test:

• expected holiday spending;
• promotion response;
• gifting priorities;
• early reactions to a new year-end offer.

This can be a practical option when timing is tight and the business needs a quick read before a campaign or promotional decision.

4. Use ready-to-use insight reports for broader market context

TGM's ready-to-use reports can support early planning when you need existing consumer data before commissioning new research.

These reports can help teams:

• understand broader category behavior;
• identify consumer trends;
• compare markets;
• build initial hypotheses for holiday planning.

They are most useful when the question is broad enough to be answered with existing research rather than a study designed around your own product or offer.