E-commerce UX
Email Marketing in Ecommerce: How to Generate $45 ROI per $1
The Litmus State of Email Report 2023 puts the average ROI of email marketing at 36:1, and in ecommerce leading players reach 45:1 and more.
E-commerce UX
Average order value (AOV) measures the mean revenue per order.

Average order value (AOV) is the most underrated metric in eCommerce. While marketing teams pour millions into new customer acquisition, they neglect the value already sitting in the basket. The formula is simple: total revenue divided by number of orders. The consequences are huge.
A higher AOV means you generate more revenue from the same traffic, with no extra marketing costs. The global average is 170 dollars. Luxury & jewellery sits at 313 dollars, consumer goods at 340 dollars.
But the absolute value is irrelevant. What matters is the increase. If you optimise AOV systematically, you are investing in the most profitable growth strategy an eCommerce business has.
Before you optimise, you need to know where you stand. AOV data by sector:
| Sector | Average AOV | Desktop AOV | Mobile AOV |
|---|---|---|---|
| Luxury & jewellery | $313 | $380 | $245 |
| Consumer goods | $340 | $410 | $275 |
| Fashion | $40–170 | $195 | $135 |
| Beauty & cosmetics | $15–90 | $85 | $55 |
| Pet care | $67 | $82 | $58 |
One critical difference: desktop AOV averages 216 dollars, mobile AOV 153 dollars. That is 41 percent more on desktop. Bigger screens, B2B purchases and more complex decision processes explain the gap. Your optimisation strategy has to look at both channels separately and deliberately lift mobile conversion.
The most effective way to raise AOV is often the simplest: a strategically set free shipping threshold. The recommended formula: the most common basket value plus 30 percent. If your most frequent basket value is 50 euros, set the threshold at 65 euros.
Why does it work? Loss aversion. Customers lose free shipping if they stay below the limit. A 5-euro discount has less pull than what feels like a lost 5-euro shipping benefit. The maths is identical, the perception is not. Daniel Kahneman and Amos Tversky described this in 1979, and it holds in eCommerce as strongly as ever.
Critical mistakes that 60 percent of shops make:
Order bumps are add-on products the customer can add with a tick box just before completing the purchase. They differ from cross-selling in their position (right before payment) and their simplicity (one click, no page change). Order bumps convert at 30 to 40 percent, far higher than traditional cross-selling.
Examples of effective order bumps:
The psychology: the customer has already decided. The order bump is not a new decision but a change to the existing one. The price must be below 20 percent of the main purchase. Above that, the decision becomes complex again.
Bundling combines complementary products into a set with a price advantage. The psychology behind it: customers stop comparing individual prices and see one complete value. BioLite raised its AOV by 23 percent through strategic bundling.
Three rules for effective bundling:
The optimal discount is 5 to 12 percent. Less does not look attractive, more eats into your margin. Bundles work especially well for first-time buyers: they reduce decision fatigue and raise the initial basket value.
“3 for 2” or “15 percent off when you buy 3 or more” are classic volume discounts that directly affect AOV. How well they work depends on the sector:
Important: the tiers have to be easy to follow. “5 percent off from 50 euros, 10 percent from 100 euros, 15 percent from 200 euros” is transparent. Complex calculations confuse people and lead to drop-offs. The optimal number of tiers is three. More overwhelms, fewer does not motivate.
For consumable products, subscriptions are the strongest lever for AOV and LTV. The customer saves 10 to 15 percent, you secure recurring revenue. A subscriber’s LTV is typically 3 to 5 times that of a one-off buyer.
Successful subscription models in eCommerce:
Critical for subscription success: pausing and cancelling must be easy. Forced lock-ins create negative word of mouth, which drives up the cost of winning new customers. A subscription the customer cannot cancel is not a business model. It is a reputational risk.
A gift above a certain basket value is more effective than a discount. Why? Because a gift feels like a gain, while a discount feels like giving up revenue. The psychology of gifts is stronger than the psychology of savings.
Real-world examples:
The rule: the gift must have a perceived value that justifies the extra spend. A plastic keyring for a 100-euro minimum order looks ridiculous. A high-quality serum for a 75-euro minimum order looks generous.
Loyalty programmes raise AOV in two ways. Directly: points per euro that turn into discounts. Indirectly: VIP status that unlocks exclusive products or early access.
The psychology is simple. Customers who collect points buy more to reach the next tier. That is gamification without game mechanics. A well-structured loyalty programme raises AOV by 15 to 25 percent. The discounts cost 5 to 10 percent of revenue. The net effect stays positive.
Example: Sephora’s Beauty Insider programme with three tiers (Insider, VIB, Rouge). Each tier offers more benefits. Customers with Rouge status spend on average 3.5 times more than basic members. The programme generates over 80 percent of Sephora’s revenue.
Instalment payments lower the barrier to buying. A 300-euro product becomes a 50-euro-a-month product. The psychological hurdle drops dramatically.
Studies show that shops offering instalments raise AOV by 20 to 40 percent. The conversion rate rises by 10 to 20 percent. Well-known providers: Klarna, Affirm, PayPal Pay in 4. Integration typically takes a day, and the effect is measurable immediately.
The cost to the merchant is 2 to 6 percent of revenue. The danger: customers buy more than they can afford. That leads to returns and chargebacks. The solution: only offer instalments for products over 100 euros. Below that, the risk of chargebacks and unhappy customers outweighs the benefit.
260 billion dollars in revenue lost to poor checkout design: that is the global value of recoverable abandonments (Baymard Institute). The fastest AOV optimisations:
Every second of load time in the checkout costs 7 percent conversion. Every extra form field costs 10 to 20 percent in drop-offs. Less is more. The checkout is the bottleneck, not the product page.
Not every strategy works equally fast. The recommended order:
| Priority | Strategy | Time to impact | Implementation effort |
|---|---|---|---|
| 1 | Free shipping threshold | Immediate | Low |
| 2 | Checkout optimisation | 1 week | Medium |
| 3 | Product bundling | 2–4 weeks | Medium |
| 4 | Instalments | Immediate | Low |
| 5 | Loyalty tiers | 3–6 months | High |
| 6 | Subscriptions | 3–6 months | High |
| 7 | Volume discounts | 2–4 weeks | Medium |
Start with the quick wins: free shipping threshold and checkout optimisation. Both work immediately and need minimal technical resources. Then build up bundling, instalments and loyalty programmes. That creates lasting competitive advantages.
In the short term you optimise AOV. In the long term, LTV. A higher AOV brings more revenue straight away. A higher LTV brings more profitability after 6 to 12 months. Both together are the goal. But without cash flow, you die before LTV counts. So prioritise AOV in the first 12 months, then LTV.
AOV can be raised. Seven strategies. Each one works on its own. Combined, they multiply the effect. Start with the quick wins. The rest will follow.
E-commerce UX
The Litmus State of Email Report 2023 puts the average ROI of email marketing at 36:1, and in ecommerce leading players reach 45:1 and more.
E-commerce UX
The payment method is the last step before the purchase. And the step where most customers drop off.
E-commerce UX
Price is the most emotional point in ecommerce.
In the Dropoff Analysis you see where your shop loses buyers. Afterwards you know where the first step pays off.