Increase Your Average Basket in E-commerce: Soledis’ 5-Step Method

Increasing your average basket value is one of the most effective ways to grow your e-commerce site. However, it goes far beyond simple optimisation. Behind performance lies an essential question of structure: experience, data, commercial logic and orchestration.

There are hundreds of articles about boosting basket value, but our goal is different: to explain what we really implement for our clients, as an e-commerce agency, with solutions we use every day.

At the heart of this approach is ShopiMind, our key partner for personalisation, retention and customer activation.

Retention: The Starting Point of Any Strategy to Increase Average Basket Value
This is where it all begins.

Before talking about cross-sell, upsell or split payments, you need to focus on retention. Loyal customers don’t just buy more often – they buy differently.

The numbers speak for themselves. According to McKinsey, loyal customers are 64% more likely to purchase more frequently and 31% more willing to accept a higher price. In other words, loyalty impacts not just buying frequency, but also basket value.

A loyal customer can spend nearly twice as much as a first-time buyer.

With ShopiMind, segmentation is automatic and dynamic – based on purchase frequency, recency, average basket and customer lifetime value (LTV). Once these segments are set up, targeted journeys allow you to complete the purchase without impacting your profit margins.

Loyalty can also be strengthened through a dedicated loyalty programme. Solutions such as Loyoly go beyond classic points-based systems. The goal isn’t just to reward purchases, but to encourage high-value behaviours: bigger baskets, repeat buys, and deeper brand engagement. The programme then becomes a real lever for boosting basket value by fostering long-term brand attachment.
Once this foundation is in place, it’s no longer about pushing more, but about activating more intelligently.
When Intelligent Recommendations Become Decision-Making Aids
Cross-selling and up-selling only work when they are contextualised.
Offering the right product, at the right time, to the right customer profile makes all the difference between a helpful recommendation and unnecessary sales pressure.
This is exactly what ShopiMind’s smart content lets you do. Recommendations are never static. They adapt in real time to visitor behaviour: pages viewed, categories browsed, products seen, purchase history or absence thereof.
For acquisition and first conversion, browsing history is the best foundation. If a visitor checks out several products in the same category, they can be shown the best-sellers, new arrivals in that category, or items regularly ordered by similar customers. Recommendations are then based on genuine intent—not guesswork.
For reactivation or follow-up, the logic evolves. Purchase history plays a key role. Reminding customers of products they’ve already ordered, suggesting suitable new items, or spotlighting products loved by similar profiles activates positive purchase memories and introduces enticing new options.
In every case, the principle is the same: never recommend “more”, but recommend “better”.
With ShopiMind’s intelligent lists, every recommendation becomes a decision-making lever – naturally encouraging higher basket values while protecting the user experience and brand perception.
Content & Social Proof: Building Trust at the Right Moment
Trust is a direct driver of higher basket value.
A customer will accept a higher basket when they clearly understand the value of the product and feel confident in their decision.
It all starts with the product page. A page that’s clear, well-structured and user-focused removes doubts: clearly identified benefits, easy-to-understand product ranges, transparent pricing and options. The easier a product is to understand, the more natural it becomes to choose higher-value options.
Social proof then reinforces this understanding. Customer reviews, feedback and user-generated content don’t just reassure—they validate product value. They show a product is chosen, used and appreciated, reducing doubt when considering a larger basket.
With ShopiMind, reviews are triggered via post-purchase journeys, then highlighted with smart content in the right places: on high-value product pages, in the basket or in remarketing messages after hesitation. Social proof thus becomes a key decision-making lever, not just a decorative touch.
Solutions like Skeepers enrich this approach. And in the age of LLMs, these signals play a crucial role in brand visibility and recommendations.
The result: more trust, less hesitation… and higher baskets.
Payment Methods & Split Payments: Where the Basket Truly Happens

Payment is often the first obstacle to boosting average basket value—well before product price itself.
It’s not just a matter of purchasing power, but how the total is perceived.
A €240 basket in one payment never feels the same as a €240 basket split into 3 × €80.
The product is identical.
The value is the same.
But the buying decision changes.
That’s why, for our clients, payment methods are never just a technical issue; they’re a core part of the basket value strategy.
Split payments act as real triggers. They don’t just improve checkout conversion; they allow customers to buy more, or to opt for a premium version they might not have otherwise considered.
But simply offering split payments isn’t enough they have to be presented smartly.
On the sites we support, these solutions are visible right from the product page, in the basket, and even in cart abandonment reminders.
Solutions like Alma and Klarna make these options widely accessible.
And with ShopiMind, you can activate these messages only when the basket amount or customer profile warrants it.
Payment thus becomes an active performance lever—not just a necessary step.
It’s also an excellent way to protect your margins, reducing the need for blanket discounts to encourage a basket upgrade.
CRO & Ongoing Iterations: Understanding Behaviour to Sell Better
The final, often misunderstood lever: CRO (Conversion Rate Optimisation).
It’s not about mindlessly swapping buttons, but understanding how users actually interact with the site.
Solutions like Webyn work through continuous iterations and A/B testing. Multiple versions of a page are tested, behaviours are analysed, and UX is continually improved to drive both conversion and understanding of the offer.
A clearer customer journey, well-understood bundles, clearer upsells: when the experience is right, basket values naturally increase.

Conclusion
Increasing your average basket relies on a comprehensive strategy.

In most cases, it’s not about driving more traffic, but about getting more value from the customers and data you already have.

ShopiMind is at the core of this orchestration, enhanced by the right partners when they truly support your business performance.