Learn Shopify Top Insights & Upsell Lessons From BFCM 2025 to Maximize Your AOV

Top Insights & Upsell Lessons From BFCM 2025 to Maximize Your AOV

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Top Insights & Upsell Lessons From BFCM 2025 to Maximize Your AOV

The recent BFCM made one thing clear: upsell is no longer optional; it is a core driver of sustainable revenue. In a market where nearly every brand discounts heavily and advertising is saturated, the shops that stand out are those that know how to upsell at the right moment. Upsell lifts order value, maximizes the return on each visitor, and becomes increasingly important as acquisition costs rise. Insights from real BFCM shopping behavior, along with cross-industry examples, reveal what makes upsell truly effective and how you can apply these lessons immediately in future campaigns.

What This Year’s BFCM Revealed About the Effectiveness of Upsell

AI-powered upsell product recommendations

Shopper browsing an online store with AI-powered upsell product recommendations, illustrating smart upsell strategies that increased AOV during BFCM 2025

BFCM 2025 offered one of the clearest data sets yet for evaluating upsell effectiveness at scale. With intense competition, compressed decision windows, and record-high traffic, shopper behavior exposed which upsell tactics truly align with real buying psychology. The insights below highlight how these behavioral shifts directly influenced upsell performance during the sale period.

During this year’s BFCM, shopper behavior shifted in ways that significantly boosted upsell performance. Consumers made faster, more decisive purchases with far less comparison than usual. A Drive Research survey found that 80% of shoppers join Black Friday for exclusive deals, while 67% wait specifically for this period to buy planned items at lower prices. This accelerates decision-making and increases openness to higher-value options such as bundles and relevant add-ons.

Urgency also intensified as brands emphasized limited-time offers and scarcity, which pushed customers to act quickly rather than hesitate. Global data from Salesforce shows that online order volume surges during BFCM due to faster buying cycles and streamlined digital checkout experiences. Together, these factors create ideal conditions for upsell effectiveness because shoppers are already in a value-maximization mindset, more willing to enhance their purchase, and more likely to accept well-timed upsell suggestions.

upsell opportunities during BFCM sales

Holiday shoppers browsing store displays during the Christmas season, illustrating high purchase intent and upsell opportunities during BFCM sales.

This BFCM proved that upselling is one of the most effective ways for merchants to grow revenue without cutting margins deeper. While discounts drive traffic, upselling increases the value of each order through relevant, high-margin add-ons, allowing stores to earn more from the same customer already ready to buy. In a period where advertising costs keep rising, this efficiency has become essential.

Industry data reinforces this. ReConvert reports a 5.6% lift in AOV from post-purchase upsell, while Saras Analytics shows AOV increases of 10-30% when upsell and cross-sell strategies are in place. In 2023, ReConvert users generated 2.42 billion dollars in incremental upsell revenue. Benchmarks also show take-rates of 4-5% for redirect-style post-purchase offers, with optimized funnels performing even higher. Just 5 to 10 accepted upsells per 100 orders can meaningfully boost revenue without any extra ad spend.

Five Key Upsell Lessons From This Year’s BFCM

Proven Upsell Strategies
Source: My Favourite Things

As the BFCM season unfolded, clear patterns began to emerge across different industries and store sizes. By analyzing what actually worked at scale, merchants can extract practical upsell lessons that go beyond theory and can be applied immediately in future campaigns.

One-click upsell

One-click upsell, especially after checkout, is widely considered the most effective upsell method in the entire shopping journey. Customers do not need to re-enter payment details or complete extra steps. A single click adds the product directly to the existing order. This seamless flow greatly increases acceptance.

Data from ReConvert shows that post-purchase upsell funnels often achieve take-rates of 10-15%, and well-optimized stores can reach 20-30%. These results outperform traditional upsell methods and demonstrate that reducing friction encourages significantly more customers to buy additional items.

Bundle combos continued to be one of the most effective upsell methods during this BFCM. When customers are offered a set of two or three related products at a better price than buying them individually, they feel they are getting more value for their money. This perception of added value makes them much more willing to upgrade their cart, especially during sale periods when they are ready to spend more than usual.

bundle

Data from multiple stores shows that bundles consistently achieve higher conversion rates than discounting single products. This is especially true in categories such as fashion, beauty, and home decor, where coordinated sets or solution-based bundles feel practical and make decision-making easier. As a result, bundles not only increase AOV but also improve the overall shopping experience by helping customers feel they are receiving greater value in a single purchase.

Post-purchase upsell is considered one of the safest and most effective upsell methods because it appears only after the customer has completed the payment process. This means the checkout conversion rate remains fully protected. At this stage, customers are no longer worried about interruptions or payment risks, and the “just purchased” excitement makes them more open to relevant and reasonably priced suggestions. As a result, they are far more likely to accept an upsell here compared to earlier points in the buying journey.

Post-purchase upsell with gempages

Many stores report that the three to five minutes immediately after checkout act as a significant revenue opportunity, since customers feel satisfied with their purchase and are more willing to consider related add-ons. Because it does not interfere with the main buying decision, post-purchase upsell naturally increases order value without harming the shopping experience or conversion rate.

Pricing is one of the most important factors influencing upsell acceptance. Studies on shopping behavior show that customers are more likely to agree to an upsell when the additional item is relatively small in value compared to the main product. The ideal price range usually falls between 15% and 25% of the current order value. Within this range, customers feel the added cost is manageable while the perceived value remains attractive enough to consider.

When the upsell price goes beyond this range, acceptance rates drop noticeably because customers start viewing the offer as a new purchase rather than a small add-on. Setting the right upsell price not only increases take-rate but also helps the shop maximize profit without making customers feel overwhelmed or pressured.

A simple upsell interface consistently produces better results because it allows customers to make decisions quickly without feeling overloaded. When shoppers are already in a spending mindset, a single clear offer with one product, a short headline, and a prominent call to action feels easy to understand and creates minimal pressure. They do not need to read long descriptions or compare multiple items, which reduces the psychological barrier to adding another product.

When choices are minimized, customers act faster. In contrast, upsell screens that include several products or too many design elements cause hesitation and increase the chance that customers will skip the offer entirely. This is why stores that optimize upsell effectively often choose clean, focused designs that highlight one strong recommendation, helping increase acceptance rates while maintaining a smooth shopping experience.

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Proven Upsell Strategies

Proven Upsell Strategies

E-commerce team analyzing sales performance and upsell data, discussing strategies to optimize revenue during peak shopping seasons like BFCM.

Pre-purchase upsell placed in the cart or right before checkout is a highly effective way to increase order value. At this moment, customers are reviewing their items and are more open to adding small, related products, especially accessories or low-priced items. When the suggestion appears at the right time, customers often feel they are already close to paying, so adding one more item is easy to justify.

Pre-purchase upsell is also useful for motivating customers to reach certain thresholds, such as free shipping. Simple prompts like “Add a basic tee to unlock free shipping” give them a clear incentive and make them feel they are optimizing their costs. This is why pre-purchase upsell performs well, especially when the message is concise, relevant, and aligned with what the customer is already considering.

Post-purchase upsell with a single click is considered a powerful tool for many stores during BFCM. At this moment, customers have already completed their payment and feel comfortable and satisfied with their purchase. When a relevant offer appears right after checkout, they see it as a convenient add-on rather than a new buying decision. With one click, the upsell product is added to the existing order without repeating the payment process, creating a seamless and highly persuasive experience.

The greatest advantage of post-purchase upsell is that it does not affect the main checkout conversion. Even if customers decline the offer, the original order remains untouched. If they accept it, the store immediately gains extra revenue without any additional advertising cost. Many shops found that a well-optimized one-click offer can generate a significant amount of additional revenue within minutes after checkout, turning the post-purchase stage into a valuable touchpoint that was often overlooked in the past.

Smart bundles are one of the most valuable upsell methods because they directly fulfill a customer’s need for a complete solution. When the products in a bundle complement each other, shoppers feel they are buying a well-matched set rather than separate items. This approach works especially well in fashion, beauty and home decor, where customers often prefer coordinated sets to save time and simplify decisions.

For a bundle to be truly persuasive, the products must be closely related and offer clear added value compared to buying each item individually. The discount should be attractive but still balanced so it does not reduce the perceived value of the items. When these elements align, bundles increase AOV effectively while creating a smoother shopping experience that makes customers feel they are receiving more value in a single purchase.

Behavior-based upsell is becoming a leading trend in e-commerce because it performs far better than random upsell suggestions. Instead of offering any product at all, stores analyze browsing behavior, purchase history and real customer needs to present the most relevant recommendation at the right moment. When customers feel the suggestion matches what they actually want, acceptance rates increase noticeably. Research shows that personalized upsell can raise take-rates by up to 40% compared to non-contextual upsell.

This approach works well because customers feel they are being personally guided rather than pushed. The recommendation is built around their own actions, which makes it feel natural and genuinely useful. A simple example is when a customer buys a shirt and immediately receives a suggestion for matching pants. The offer is logical, easy to understand and adds real value, making it much more likely that the customer will upgrade their order.

Three standout case studies from shops during BFCM

Case Study 1: Yodee 

Yodee

Yodee baby product brand showcasing its e-commerce store success using AI upsell strategies to increase average order value

During the recent BFCM season, Yodee, a well-known pet supply brand, used AI Upsell to analyze real-time shopping behavior and recommend relevant add-on products immediately after checkout. These suggestions closely matched the main items customers had purchased, such as accessories, supplementary food, or pet care products. Because the recommendations appeared at the right moment and aligned well with customer needs, shoppers accepted them easily without hesitation. Throughout the campaign, Yodee recorded a clear increase in AOV driven by a large number of post-checkout add-ons, allowing the brand to grow revenue without increasing advertising spend.

Case Study 2: Motana West 

Motana West

Montana West handbags collection illustrating how fashion brands use smart upsell tactics to drive additional revenue on Shopify

Motana West, a minimalist fashion brand, used AI Upsell to automatically suggest items that completed the customer’s outfit based on what they had chosen. The system analyzed colors, materials and styles in the cart to recommend coordinated items such as belts, lightweight jackets or matching accessories. These suggestions felt natural and gave customers the sense that they were finishing a complete look rather than adding an extra, unrelated item. With a clean upsell interface and clear pricing, Motana West saw a strong increase in upsell take-rate during BFCM, with upsell revenue forming a meaningful portion of the campaign’s total sales. This clearly demonstrated how effective AI-driven upsell can be in fashion.

Case Study 3: Bonny and Read 

Bonny and Read

Bonny and Read jewelry products displayed as a brand example of personalized upsell and bundle strategies in e-commerce

Bonny and Read, a popular fashion accessory and jewelry brand, used AI Upsell to create personalized combos based on each customer’s aesthetic preferences. The system analyzed the style of the item added to the cart and suggested complementary pieces such as earrings, necklaces or bracelets with matching design tones. These recommendations aligned closely with customers’ tastes and felt similar to receiving advice from a personal stylist. Thanks to this high level of personalization, upsell acceptance increased steadily throughout the sale period. As a result, both AOV and supplemental revenue grew significantly, showcasing the power of AI-optimized accessory bundles in the fashion and jewelry category.

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Common mistakes that reduce upsell performance

Offering too many choices in a single upsell screen often distracts customers and reduces their willingness to buy more. When shoppers face three or four different options, they tend to feel overwhelmed and choose to skip the upsell entirely rather than compare each choice. What they truly need at that moment is one clear, well-matched recommendation that helps them make a quick decision without extra effort.

Upsell becomes almost ineffective when the suggested product has no connection to what the customer is purchasing. If someone buys a shirt but receives a suggestion for a scented candle, they see no added value or relevance, making the likelihood of acceptance extremely low. Relevance is the core of effective upsell. Only when the add-on aligns with the customer’s current need will the offer feel logical and worth considering.

When the upsell price is too high compared to the main product, most customers will ignore it immediately. If the additional cost exceeds their expectation, they perceive the upsell as a new purchase rather than a small add-on, which significantly lowers the take-rate. To maximize acceptance, the upsell price should fall within 15-25% of the main order value. This range is considered comfortable for customers, offering a sense of value while still maintaining healthy margins for the shop.

A major mistake that causes many shops to miss out on upsell revenue is not performing A/B testing on their upsell content or interface. Without testing, stores have no clear insight into which elements are working well and which ones are lowering acceptance rates. This results in an upsell strategy built on guesswork instead of real data.

gemx cro a/b test

You can try to use GemX: CRO A/b Testing to test your store performance

During BFCM, when customer behavior shifts quickly and traffic surges, the ability to test rapidly and optimize continuously becomes essential for capturing the full revenue potential of every order.

What shops should do to optimize upsell for the next sales season

One of the simplest yet most effective ways to optimize upsell is to focus on one or two high-performing products instead of spreading attention across too many options. When a shop identifies its strongest upsell items, every aspect from content to imagery to pricing, can be refined around those products, resulting in a significantly higher acceptance rate. This approach is especially effective during sale periods, when customers make decisions quickly and respond best to clear, compelling suggestions.

To select the most effective upsell products, shops should prioritize items with strong profit margins, high conversion potential, and strong relevance to the main product being purchased. Together, these factors create an upsell offer that feels natural, valuable and beneficial for both the customer and the store.

Building a clear upsell funnel is essential for any shop aiming to maximize revenue from each order. Instead of adding a few isolated offers, a well-structured funnel guides customers through relevant suggestions at every stage, from pre-purchase to post-purchase. This approach increases acceptance at each touchpoint and creates a seamless shopping experience, making customers feel supported rather than pushed.

Among all stages, the post-purchase funnel is becoming the strongest and most effective area. Once customers have completed payment, they are more open to relevant suggestions. A well-optimized post-purchase funnel can generate significant additional revenue without affecting the main checkout conversion rate. For this reason, many brands, both large and small, consider the post-purchase stage the “golden point” of their entire upsell strategy.

Personalized upsell based on customer behavior is becoming one of the key drivers of upsell performance. By leveraging purchase history, browsing patterns, buying frequency and individual preferences, shops can deliver far more accurate and relevant suggestions. Customers respond more positively to offers that feel timely, contextual and tailored to their needs, rather than generic upsell options.

This level of personalization has a clear impact on take-rate. Studies show that behavior-based upsell can outperform random upsell suggestions by a wide margin. This is especially valuable during sale seasons, when customers make decisions quickly and are more easily persuaded by offers that directly match what they are already looking for.

Optimizing the upsell interface is a key factor that determines whether customers choose to buy more. A clean, simple and distraction-free design helps shoppers absorb information quickly and reduces hesitation. At the moment an upsell appears, customers typically do not want to read long descriptions or compare multiple choices. The simpler the layout and the clearer the structure, the higher the likelihood they will take action.

In practice, a strong call-to-action paired with a clear, appealing product image often converts far better than a complex interface. Customers only need to see the value instantly and understand exactly what they are getting. Minimalist presentation in colors, imagery and the CTA helps increase upsell acceptance naturally and effectively.

Zotasell - The upsell tool chosen by many shops after BFCM

Zotasell distinguishes itself by doing far more than simply displaying upsell offers. The platform is designed to help merchants generate immediate incremental revenue at the exact moment when customers are most ready to buy. While many upsell tools focus only on presenting an offer, Zotasell enhances the entire revenue-critical moment by optimizing load speed, user experience flow, behavioral targeting and the overall conversion mechanics. This comprehensive approach ensures that every upsell opportunity has the highest possible chance of being accepted.

Merchants do not need technical skills, custom coding or checkout adjustments. Zotasell integrates smoothly into the storefront and allows shops to activate high-performing upsell funnels within minutes. The process is fast, secure and carries zero risk to the existing checkout conversion rate, making it a powerful solution for both small stores and large brands aiming to scale revenue efficiently.

Zotasell AI

Zotasell AI upsell platform visual highlighting the art of selling through smart product recommendations and automated upsell strategies

Key differentiators that make Zotasell the preferred solution:

  • Enables rapid creation of 1-click upsell offers, making it highly effective during fast-paced sale periods where execution speed directly impacts revenue.

  • Operates completely independently of the checkout flow, ensuring conversion stability and preserving the integrity of the primary purchase journey.

  • Delivers upsell interfaces tailored and optimized for the behavioral patterns of Vietnamese online shoppers, producing a demonstrable increase in acceptance rates.

  • Offers an exceptionally intuitive setup experience, allowing any team member to build and launch a fully functional upsell funnel without requiring technical expertise.

The result is clear: Zotasell enables merchants to activate upsell opportunities more quickly, present them with greater impact and convert them with higher consistency. This allows stores to generate meaningful incremental revenue without relying on additional traffic or increased advertising spend.

Zotasell’s instant 1-click upsell engine 

Zotasell AI upsell and cross-sell system showing automated product recommendations across key Shopify sales touchpoints

Why Zotasell’s 1-click system outperforms traditional upsell methods lies in its ability to present the offer at the most responsive moment, immediately after checkout when customer intent remains high. A single click adds the item directly to the existing order without any additional steps, creating a seamless experience that preserves buying momentum and significantly increases take-rate.

Performance results reported by Zotasell merchants consistently show take-rates rising by 15-3% within just a few days of activation. Upsell revenue contributes between 20-35% of total sales during major sale periods, and average order value increases from 40% to more than 120% depending on the product category.

Zotasell does more than facilitate upselling. It delivers measurable, rapid and scalable revenue growth from customers who have already completed their purchase, and it achieves this without requiring any additional advertising spend.

Afterthought

The recent BFCM season delivered an important lesson for the entire market: the shops that optimize upsell are the ones that achieve outstanding results. Upsell not only increases order value but also helps reduce costs, improve profit margins and build a sustainable competitive advantage in a landscape where advertising is becoming increasingly expensive. When executed correctly, upsell allows stores to maximize every visit, turning each order into a growth opportunity instead of relying solely on discounts to attract customers.

With a powerful tool like Zotasell, implementing upsell becomes fast, simple and highly effective. From building funnels and setting up the interface to optimizing conversion rates, everything is done seamlessly without requiring technical skills. This makes upsell a suitable strategy for businesses of all sizes, from newly launched shops to established brands. Optimizing upsell today not only boosts your immediate revenue but also creates a strong foundation for explosive growth in the next sales season.

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