Holiday Predictions: eCommerce Trends That Will Define Success This Season

The 2026 holiday season presents a major revenue opportunity for eCommerce businesses, but capturing that opportunity will require more than launching promotions and increasing advertising spend. Consumers are researching products more carefully, comparing value across retailers, and using AI tools to support shopping decisions. Meanwhile, businesses must manage higher transaction volumes, customer expectations, fulfilment constraints, and the cost of acquiring new customers.

The latest US retail forecasts point to continued growth. The National Retail Federation (NRF) expects retail sales in November and December 2026 to increase by 4.2% year over year, reaching $1.013 trillion. Adobe forecasts US online holiday sales of $275.1 billion between November 1 and December 31, representing 6.7% growth. Deloitte, using a longer November 2026 to January 2027 period, projects US eCommerce sales of $316.1 billion to $318.9 billion. These figures cover different periods and methodologies, so they should be understood as separate forecasts rather than directly comparable estimates.

For eCommerce leaders, the more important question is not simply how much the market will grow, but where that growth will come from and whether their businesses are equipped to capture it profitably. The following holiday eCommerce trends for 2026 highlight the customer behaviours, technology decisions, and operational priorities likely to influence performance this season.

1. AI Shopping Will Change How Customers Discover and Evaluate Products

AI Is Becoming Part of the Holiday Shopping Journey

Artificial intelligence is becoming a more prominent part of product discovery, changing how shoppers move from an initial need to a shortlist of potential purchases. Instead of relying exclusively on keyword searches or browsing retailer categories, consumers can describe what they want in natural language, ask for recommendations, compare alternatives, and use AI tools to narrow their choices.

Shopify’s 2026 Global Holiday Retail Report, based on research involving 18,000 consumers and 7,500 business decision-makers across nine global markets, found that 65% of surveyed shoppers expect to use AI for at least one shopping task this holiday season. Shopify also reported that 71% of regular AI users are more likely to choose an independent brand this year than last. Separately, Adobe observed that AI-driven traffic to US retail websites grew 127% year over year in August 2026 and forecasts further growth during the holiday season. These figures come from different studies and measure different behaviours, but both point to AI becoming a more meaningful part of the shopping journey.

For retailers, this creates an opportunity to reach customers whose needs may not be captured by conventional keyword searches. It also raises the importance of providing product information that clearly explains what an item does, who it is for, and how it compares with alternatives. AI-assisted discovery is only useful when the underlying information is sufficiently accurate and detailed to support a relevant recommendation.

Product Data Will Influence AI-Driven Discovery

Product content should therefore be treated as part of the commerce infrastructure, rather than simply a copywriting or SEO task. Incomplete specifications, inconsistent variant information, outdated prices, and unclear availability can make it harder for shoppers to evaluate products confidently, regardless of where discovery begins.

Retailers should review product titles, descriptions, attributes, imagery, reviews, pricing, stock availability, and delivery policies as a connected information system. Structured product data and consistent information across relevant channels can help make product details easier to interpret. Businesses should also ensure that important information is accessible on their own product pages, rather than relying entirely on third-party platforms to explain their offerings.

This does not mean abandoning traditional SEO. Search engines, retailer websites, marketplaces, and AI-assisted discovery can all play different roles in the customer journey. The strategic priority is to make product information accurate, useful, and consistent wherever shoppers encounter it, while measuring the channels that actually contribute to qualified traffic and sales.

What eCommerce Businesses Should Prioritise

Before investing in new AI tools, businesses should identify the specific customer or operational problem they want to solve. Improving product data may support several discovery channels at once, while a recommendation tool may be useful only if the catalogue and customer data are reliable enough to support it.

The objective is not to adopt AI simply because it is gaining attention. It is to help customers find relevant products, reduce uncertainty during evaluation, and improve the likelihood that discovery leads to a suitable purchase.

2. Value-Driven Shopping Will Put Pressure on Pricing and Conversion Strategy

Consumers Will Evaluate Value Beyond Discounts

Consumers are entering the 2026 holiday season with a stronger focus on what their money delivers. Deloitte’s 2026 Holiday Retail Survey found that surveyed US households expect to spend an average of $1,654 during the holiday season, up 4% year over year. However, 79% of respondents expect prices to rise, and 38% qualify as holiday value seekers based on their use of multiple cost-saving behaviours. The findings suggest that shoppers can remain willing to spend while becoming more deliberate about how they allocate their budgets.

Adobe’s forecast reinforces the importance of promotions. The company expects discounts of up to 30% off listed prices during Cyber Week across the categories covered by its analysis, with discount levels varying by product category and timing. Retailers should interpret these figures as market forecasts, not as a recommendation to match every competitor’s discount.

For eCommerce businesses, value is broader than price alone. Product quality, useful features, reliable delivery, transparent returns, credible reviews, and confidence in the purchase can all influence how customers assess an offer. A retailer that explains these benefits clearly may be better positioned to compete than one that relies exclusively on aggressive price reductions.

Balancing Conversion, Discounts and Profit Margins

Promotions remain an important part of holiday retail, but discounting without a clear commercial rationale can erode margins and train customers to wait for future sales. A campaign may generate more orders while producing less profit per order, particularly when discounts are combined with high acquisition costs, fulfilment expenses, and returns.

Retailers should use historical performance and current demand signals to determine where promotions are necessary. Some products may need a stronger price incentive to remain competitive, while others may perform better through bundles, loyalty benefits, gift-with-purchase offers, or clearer communication of product value. The right approach depends on category economics, inventory positions, customer segments, and the role each product plays in the wider catalogue.

Performance measurement should reflect these trade-offs. Conversion rate and average order value are useful, but they should be evaluated alongside gross margin, discount rate, customer acquisition cost, returns, and contribution margin where available. This helps leadership teams distinguish between sales growth that creates business value and growth that depends on unsustainable promotional spending.

The strategic objective is to make purchasing easier without automatically lowering prices. Businesses that understand why customers hesitate can choose a more appropriate response, whether that means improving product information, clarifying delivery terms, offering a relevant bundle, or adjusting a promotion.

3. Mobile, Social and Affiliate Commerce Will Need a More Connected Strategy

Mobile Commerce Will Remain Central to Holiday Sales

Mobile devices continue to play a significant role in online shopping, particularly during high-traffic periods when consumers browse and purchase across multiple moments throughout the day. Adobe forecasts that mobile devices will account for 57.4% of US online holiday spending between November and December 2026, compared with 56.4% in 2025. For Thanksgiving, Adobe expects mobile to represent 63% of online spending. These are forecast figures, but they underline why mobile usability deserves attention before peak campaigns begin.

A mobile-first experience involves more than ensuring that a website fits a smaller screen. Shoppers need to understand product options, view useful images, compare prices, check delivery details, and complete checkout without unnecessary friction. Slow page loads, confusing navigation, unexpected shipping costs, or payment failures can undermine the value created by an otherwise successful campaign.

Retailers should examine device-level analytics to identify where customers abandon the journey. Product pages, search and filtering, cart interactions, checkout steps, payment methods, and error rates should be assessed as part of one conversion path. Improvements should be prioritised according to observed friction and potential business impact, rather than design preference alone.

Connecting Social Discovery With the Purchase Journey

The path from discovery to purchase is also becoming more distributed across channels. Shoppers may encounter a product through an influencer, compare options on a retailer’s website, use an AI assistant to research alternatives, and return later to complete the transaction. A retailer’s challenge is to make these interactions consistent and understand which channels contribute to the final outcome.

Adobe’s 2026 holiday analysis expects social media and affiliate or partner channels to gain share of revenue during the season. Within affiliate and partner traffic, the report identifies influencers and creators as a meaningful source alongside cashback and rewards partners. These findings reflect Adobe’s US retail analysis and should not be assumed to describe every market or merchant equally.

For eCommerce teams, the practical implication is to align campaign messaging, product availability, prices, landing pages, and promotional terms across acquisition channels. A social campaign that promises a specific offer should lead to a page where the same offer is clearly presented and easy to redeem. Likewise, affiliate partnerships should be evaluated for the quality and commercial value of the traffic they generate, not just the volume of clicks.

Businesses should also be realistic about attribution. When customers interact with several channels before purchasing, the last click may not capture the full influence of earlier interactions. Reviewing channel performance alongside customer journeys, conversion data, and profitability can help teams allocate budgets more effectively.

Mobile, social, and affiliate strategies are therefore most effective when they operate as connected parts of the customer journey. Expanding channel coverage without addressing the underlying shopping experience can increase traffic without delivering a proportional improvement in sales.

4. Customer Retention Will Be Essential to Sustainable Holiday Growth

Turning Seasonal Shoppers Into Returning Customers

Holiday campaigns can attract customers who have never purchased from a brand before. However, the long-term value of that acquisition depends on what happens after the first order. If seasonal customers do not return, the business may need to spend repeatedly on acquisition to replace them, placing additional pressure on marketing efficiency.

Retention starts with the fundamentals of the customer experience. Clear order confirmations, accurate fulfilment updates, reliable delivery, responsive support, and straightforward returns help customers feel confident about the transaction. These elements may be less visible than a new campaign or website feature, but they can shape whether customers consider buying from the same retailer again.

Businesses can complement a dependable post-purchase experience with relevant loyalty and retention initiatives. Depending on the product category, these may include early access to new collections, useful complementary recommendations, replenishment reminders, rewards, or exclusive offers for returning customers. The key is to match the approach to customer needs and the economics of the business rather than sending every customer the same promotional sequence.

Using Customer Data to Drive Relevant Personalisation

Personalisation is most useful when it helps customers make decisions or discover products that genuinely match their interests. Purchase history, product preferences, browsing behaviour, and customer service interactions may provide useful signals, provided that data is collected and used appropriately and in accordance with applicable privacy requirements.

Retailers should also ensure that customer data is reliable across the systems used by marketing, commerce, and customer support teams. Fragmented records can lead to repetitive messages, irrelevant recommendations, or communications that contradict a customer’s current order status. Better coordination can make personalisation more useful while reducing unnecessary messaging.

Retention performance should be measured beyond the holiday sales window. Repeat purchase rate, time to second purchase, retention by acquisition channel, and customer lifetime value can help businesses understand whether seasonal acquisition creates lasting value. These metrics should be interpreted in the context of the product’s natural repurchase cycle, since a customer buying a durable product may return less frequently than someone purchasing consumables.

For leadership teams, retention is not solely a marketing responsibility. It depends on product quality, fulfilment, service delivery, data availability, and the ability to coordinate customer interactions across systems. Investing in acquisition without addressing these foundations may create short-term sales while leaving the underlying economics unchanged.

5. Operational Readiness Will Determine Whether Growth Is Profitable

Preparing eCommerce Platforms for Peak Traffic

A successful campaign can expose weaknesses that remain hidden during normal trading periods. Increased traffic and order volume can place pressure on storefront performance, checkout, payment services, inventory synchronisation, and fulfilment workflows. During the holiday season, failures in these areas can lead directly to lost sales, increased support demand, and a less reliable customer experience.

Businesses should use their own sales history, campaign calendar, product availability, and traffic patterns to create realistic demand scenarios. They should then test the critical customer journey under expected peak conditions, including product discovery, cart updates, checkout, payment confirmation, and order processing. Testing individual pages is not enough if the wider transaction flow depends on integrations or third-party services.

Performance monitoring should also extend beyond page speed. Checkout errors, payment failures, unusual conversion drops, inventory discrepancies, and order-processing delays can indicate problems that affect revenue even when the website remains accessible. Teams need visibility into these signals and clear ownership for investigating and resolving incidents.

The appropriate level of testing depends on the platform, architecture, transaction volume, and business risk. The important principle is to validate the parts of the operation that are most likely to affect customers and revenue before major promotional periods begin.

Connecting Inventory, Payments and Fulfilment Systems

Reliable operations also depend on consistent data across systems. If a storefront displays an item as available when the inventory system shows no stock, customers may place orders that cannot be fulfilled. If prices or promotional conditions differ between channels, shoppers may lose confidence or contact support to resolve discrepancies.

Before peak trading, businesses should review the accuracy and timing of data exchanged between the eCommerce platform, inventory management, payment services, order management, and fulfilment systems. The aim is to identify where information can become outdated, where manual processes create delays, and how errors are detected and corrected.

Operational planning should also account for exceptions. Teams need a clear process for handling payment interruptions, stock discrepancies, delayed orders, integration failures, and customer communication when an issue affects fulfilment. Recovery procedures should be appropriate to the business and tested where possible, rather than documented without practical validation.

Measuring Readiness Beyond Website Speed

Operational readiness should be assessed through a combination of technical and business indicators. Depending on the operation, these may include page and checkout performance, successful payment rate, order-processing time, inventory accuracy, fulfilment reliability, incident frequency, and time to resolve critical issues.

These measures help leadership teams connect technical reliability to customer and financial outcomes. A fast website is valuable, but it cannot compensate for a broken payment flow or inaccurate inventory. Likewise, adding another application or integration may solve one problem while introducing new maintenance costs and dependencies.

The holiday season is therefore a useful test of the wider eCommerce architecture. Businesses need to know whether their systems can handle expected demand, whether teams can detect problems quickly, and whether the operation can recover without unnecessarily disrupting the customer journey.

6. How eCommerce Businesses Should Prepare for Holiday 2026

Prioritising Improvements by Business Impact

The most effective preparation connects customer-facing improvements with operational and financial priorities. Rather than treating AI discovery, promotions, mobile optimisation, retention, and platform performance as isolated initiatives, leadership teams should rank them according to expected impact, implementation effort, delivery risk, and the time required to realise value.

A practical first step is to review product and commercial data. Product descriptions, specifications, pricing, promotions, inventory, shipping terms, and returns information should be accurate and consistent across the channels where customers discover and evaluate products. This supports traditional product discovery while improving the clarity of the shopping experience for customers using AI-assisted research.

Next, assess the full mobile conversion journey and identify friction using real customer behaviour. Prioritise improvements to navigation, product information, checkout, payment, and delivery transparency where the evidence indicates that they are limiting conversion. At the same time, establish clear promotion guardrails so that discount decisions reflect demand, inventory needs, and margin targets.

Retention and operational readiness should be part of the same plan. Customer communication depends on reliable order data, while successful campaigns depend on accurate inventory and dependable fulfilment. Reviewing these connections before peak trading helps businesses avoid investing in customer acquisition that their operations are not ready to support.

Building a Scalable eCommerce Foundation With WGT Core

Technology should enable the business strategy, not become a separate objective. For organisations preparing for holiday demand, the right priorities may include resolving performance bottlenecks, improving integration reliability, making product data more consistent, or reducing friction in the shopping journey. The appropriate work depends on the existing platform, architecture, business requirements, and evidence of current problems.

WGT Core can be positioned in this process as an eCommerce technology partner, helping businesses evaluate and address platform, integration, and performance needs within the agreed project scope. For Shopify-focused businesses, this may involve reviewing how the storefront, data flows, and connected services support the customer journey and operational requirements. Specific solutions should follow an assessment of the actual business context rather than a predetermined list of technologies.

This approach also helps teams avoid unnecessary complexity. Adding new applications or features close to the holiday peak can introduce dependencies that are difficult to validate in time. Where possible, businesses should prioritise high-impact fixes, test changes thoroughly, define rollback or recovery procedures for critical releases, and postpone lower-priority work that could create avoidable risk.

The goal is to build an eCommerce operation that can respond to demand without sacrificing customer experience or profitability. By aligning technical priorities with measurable business outcomes, retailers can make more informed decisions about what to improve before the season and what to plan for a later phase.

Conclusion

The defining holiday eCommerce trends of 2026 point toward a more demanding retail environment. AI is changing how shoppers discover and evaluate products, value-conscious purchasing is raising expectations for price and product quality, and mobile, social, and affiliate channels are influencing the path from discovery to conversion. At the same time, retention and operational reliability remain essential to turning seasonal demand into sustainable business value.

For eCommerce leaders, success cannot be measured by revenue alone. Businesses need to understand acquisition efficiency, protect margins, deliver a consistent customer experience, and ensure that their technology and operations can support demand without introducing avoidable risk.

The priority is to prepare the entire customer journey, from product discovery and evaluation to checkout, fulfilment, and repeat purchasing. Retailers that connect their commercial strategy, data quality, customer experience, and platform operations will be better positioned to respond to the holiday season and build a stronger foundation for growth beyond it.