Key Takeaways
The AOV is the cheapest revenue lever: more revenue per order without spending another Euro on the advertising budget.
An increase of just +10% in order value means an additional €10,000 monthly for 2,000 orders/month and a €50 AOV.
The strongest levers: free shipping threshold, bundles and contextual cross-selling.
Validate every measure via A/B testing and measure RPV (Revenue per Visitor) instead of just AOV.
Introduction
In e-commerce, much revolves around traffic, conversion rates, and acquiring new customers. However, an often underestimated lever for growth is the Average Order Value (AOV), meaning the average order value per customer.
Those who succeed in increasing the AOV boost their revenue without having to invest additional advertising costs for acquiring new customers.
In this article, you will learn:
What the AOV is and why it is so important
Which psychological mechanisms lie behind it
Concrete strategies to systematically increase the AOV
What does AOV mean and why is it important?
The Average Order Value (AOV) indicates how much customers spend on average per order.
Formula: AOV = Revenue ÷ Number of Orders
Example: A shop generates €100,000 in revenue from 2,000 orders. The AOV is €50.
Even an increase of 10% to €55 means an additional €10,000 in revenue with the same number of orders, entirely without acquiring more customers.
Psychological Foundations
Many measures to increase AOV are based on principles of consumer psychology:
Anchoring effect: Customers orient themselves towards presented prices or comparative values.
Loss Aversion: Additional benefits ("Free shipping from €60") motivate them to fill the shopping basket.
Social Proof: Recommendations or bundles appear more convincing when others have bought them.
7 Strategies to Increase AOV
1. Cross-Selling: Offer complementary products
A classic: Customers buy a main product, and you suggest suitable items to go with it.
Example: Someone puts a smartphone in their shopping basket: accessories like a case or charger are suggested.
Practical Tip: Use automated product recommendations ("Customers also bought...").
2. Upselling: Premium instead of basic
Instead of just offering the standard product, you present a higher-value version.
Example: Instead of "Basic subscription": "Premium subscription" with additional features.
Psycho-trigger: Customers want "the best" for their money.
3. Minimum Order Value for Benefits
"Free shipping from €50" or "Free gift from €80" are powerful levers to increase shopping basket value.
Practical Example: A fashion retailer sees that the AOV is €45. He sets the threshold for free shipping at €60. Many customers deliberately add an extra product to their shopping basket.
4. Bundling: Selling products as a package
Instead of selling items individually, you can offer bundles.
Example: "Skin Care Set" instead of individual creams: higher shopping basket value and perceived price advantage for customers.
5. Loyalty and Bonus Programmes
A loyalty programme with points or discounts for larger shopping baskets motivates customers to spend more.
Example: "Collect double points on orders over €70".
6. Limited Offers and Time Scarcity
"Today only: Free product from €60": time limits increase the motivation to boost the shopping basket.
7. Personalised Recommendations
With the help of AI or analysis tools, you can tailor product recommendations individually to the customer.
Example: A regular customer who routinely buys sportswear receives targeted offers for matching shoes or accessories.
Monitoring and Optimisation
Measures to increase AOV must be regularly reviewed. Important KPIs:
AOV trend over time
Conversion Rate (is the AOV falling because customers are dropping off?)
Revenue per customer (Customer Lifetime Value)
Practical Tip: Test offers with A/B tests to find out which strategy works best for your target audience.
Conclusion
Increasing the Average Order Value is one of the most effective levers in e-commerce, as it directly boosts revenue without additional advertising costs.
With strategies like cross- and upselling, bundling, minimum order values, and personalised recommendations, the AOV can be sustainably improved.
Those who systematically optimise their AOV not only increase revenue in the short term but also build stronger customer relationships in the long run.
💡 CTA for you: Check your average order value (AOV) and adjust your threshold for free shipping or free extras.
You want to know what your shop delivers daily leaves behind?
An actionable CRO lever in your inbox every week?
SubscribeHow do you test AOV measures cleanly?
Always via A/B test with a clear hypothesis, and only ever one variable per test. Otherwise, in the end, you won't know which lever worked.
A clean hypothesis follows the pattern: "If we [change], then [metric] will increase, because [mechanism]." Example: "If we raise the shipping threshold from €50 to €60 and visualise it in the shopping cart, the AOV will increase by at least 8% because customers want to avoid losing free shipping."
The most important rules for valid tests:
Run the test over full weeks (weekday effects!)
Calculate the required sample size beforehand, not afterwards
Measure primarily RPV (Revenue per Visitor), not just AOV; a higher order value with a collapsing conversion rate is a loss-making business
Document every test, including the losers; negative insights save future budget
How do you stagger thresholds cleverly?
The best shops combine several small anchors instead of one large discount. Free shipping from €40, a free sample from €60, a gift from €90: each threshold pulls a different customer group upwards.
This stepped logic works because it offers an achievable next step for every shopping cart value. A customer at €25 is not thinking about the €90 gift, but they are certainly thinking about the free shipping.
📊 Insight: Multi-stage thresholds usually beat single-stage ones significantly in terms of order value, because they give more customers a worthwhile next step.
You want to know what your shop delivers daily leaves behind?
Want to know where your shop is leaving revenue on the table? We'll find out with a free CRO audit.
Request a CRO auditHow do you start this week?
With a 30-minute analysis of your order data: current AOV, distribution of shopping cart values, biggest gap to the next sensible threshold. This makes your first test practically write itself.
The concrete roadmap:
Extract the AOV and median order value from the last 90 days
Set the shipping threshold to AOV + 20 to 30% and visualise it in the shopping cart
Create a bundle of your bestseller + matching accessory
Test both one after the other, using RPV as the key metric
Anyone who implements these basics cleanly typically gets 10 to 15% more revenue from identical traffic within 8 to 12 weeks, and will have built a testing routine that makes every additional lever cheaper.
Let us talk about yours Talk about the funnel.
15 minutes, free of charge: we will take a look at your shop together and you will leave with at least one concrete test suggestion.
Choose appointmentWhat is a good AOV for my shop?
There is no industry-wide standard; the key is how your own AOV develops over time and its relationship to your acquisition costs. As a rule of thumb, the AOV should be significantly higher than your cost per acquired customer.
Doesn't a higher shipping threshold lower my conversion rate?
In the short term, conversion may drop slightly, which is why you measure revenue per visitor rather than just AOV. In most tests, the higher order value more than compensates for the small conversion effect.
Which AOV lever should I test first?
The shipping cost threshold: quick to implement, low-risk, and effective in almost every shop. Rule of thumb for the amount: current AOV plus 20 to 30 per cent.
How quickly do AOV measures take effect?
Immediately upon going live, but for valid conclusions you need an A/B test run over at least two full weeks with a pre-calculated sample size.
For years, Jonas has been optimising shops for conversion — with data-driven A/B testing for over 103 e-commerce brands like LuckyHemp and Alb-Filter. At SCAEL, he is responsible for strategy and testing.
Auf LinkedIn vernetzen
