Definition
Upselling happens when a business presents a more valuable version of a product or service than the customer first considered. Examples include moving from a basic to a premium plan, choosing a larger size, adding more capacity, or selecting a better-equipped model. In ecommerce, the suggestion may appear on a product page, in a cart, during checkout, or after a purchase; in subscription products, it may appear when a customer reaches the limits of a current plan.
The aim is not simply to make an offer more expensive. The higher-value option should solve a relevant need, such as more features, better performance, longer coverage, or greater convenience. Upselling is different from cross-selling: an upsell changes or upgrades the main purchase, while a cross-sell adds a separate but related product or service.
Upselling is also different from a forced path or dark pattern. Customers should be able to understand the trade-off, decline the offer easily, and continue their task without confusion. Measuring the experience matters because a poorly timed or irrelevant offer can create friction and reduce completion.
What does that mean
Think of choosing between a standard and a premium version of the same thing. An upsell shows the premium choice and explains why it might be worth the extra cost; it does not make the standard choice disappear.
Why this matters.
When an upsell is relevant, customers can find a better fit with less searching, while businesses can grow revenue from an existing decision. Ecommerce and marketing teams can improve offer relevance; product and UX/UI teams can make the choice clear and low-friction; data teams can test whether the offer increases value without increasing abandonment.
Use cases
Make product and cart recommendations more useful
Customers may be ready to buy but still need help comparing a standard option with a more capable or convenient one. Recommendations can become distracting when they appear at the wrong moment or are unrelated to the item being considered.
Ecommerce and UX/UI teams can place a small number of relevant upgrades in product views, cart previews, or add-to-bag confirmations. Clear differences in features, price, and value help people decide without leaving the purchase flow.
The expected benefit is a more useful shopping experience, better product discoverability, and the potential to increase average order value while protecting the main conversion path.
Find the audiences most likely to respond
An upsell that works for one group may be irrelevant to another. New visitors, repeat purchasers, high-spend customers, and users on different devices can have different needs, budgets, and levels of intent.
Marketing and Data teams can compare behaviors and outcomes across segments, then use those insights to form more focused hypotheses about offer timing, messaging, and product fit. The analysis should consider both the original purchase and the later value of the customer, not only the click on the offer.
The expected benefit is better-targeted experimentation and less reliance on one-size-fits-all promotions, which can improve relevance and help protect customer trust.
Improve upgrades across longer customer journeys
For subscriptions, platforms, and businesses with several products, the opportunity to upsell may appear after the first purchase rather than on the first visit. Teams need to understand which actions, milestones, or repeated visits tend to precede an upgrade.
Product and Marketing teams can examine cross-session journeys, compare users who upgrade with those who do not, and investigate the moments where customers encounter friction or show stronger engagement. They can then refine in-product prompts, lifecycle messages, or upgrade paths around genuine customer needs.
The expected benefit is a clearer expansion journey that supports customer value over time instead of treating every upsell as a one-time checkout tactic.
See it in practice
Criteo’s customer story describes using unified behavioral data and Journey Analysis to identify friction, improve a strategic campaign-creation journey, and increase revenue. The story also names supporting cross-selling and upselling across other solutions as a next step.
How Contentsquare helps.
Merchandising — helps teams understand product, brand, and category performance so they can make more informed decisions about placement, price, stock, and cross-selling.
User Segmentation — lets teams compare behaviors and outcomes across audiences, including high-value groups and users with different purchase journeys.
Advanced Journey Analytics — connects behavior across sessions and devices so teams can identify moments associated with retention, purchase, and upsell opportunities.
Funnel Analysis — shows where users drop out between product selection, cart, checkout, and other defined steps, helping teams improve the path around an offer.
Heatmaps — show which recommendation areas and page elements receive attention, clicks, and conversion or revenue outcomes.
Session Replay — adds behavioral context by showing hesitation, confusion, or friction around an upsell interaction.
FAQs on upsell
In ecommerce, an upsell is an invitation to choose a higher-value version of the product a shopper is already considering. It can involve a premium model, a larger size, more capacity, a longer service level, or another option that upgrades the original purchase.