From €32 to €62 average order value. Fragrance Korner had a loyal customer base but couldn't push AOV past €32. Customers were buying single fragrances and leaving. There was no mechanism to encourage exploration.
Fragrance Korner is a specialty perfume retailer that struggled to grow average order value beyond €32 until they installed Rapi.
With an AOV stuck at €32, Fragrance Korner lacked a structured way to encourage customers to discover more of their catalogue or spend beyond a single item.
There was no incentive to add a second bottle, no bundle logic, and no offer testing in place. Growth in revenue required growing either traffic or conversion, both expensive.
The easier lever, AOV, was untouched.
"Letting customers build their own set was the secret weapon. They felt in control and spent twice as much."
Fragrance Korner team
Fragrance Korner's customers were coming in, picking one perfume, and leaving. That was the whole problem.
So, we A/B tested different versions of the offer to find what clicked. Once we found the winning combo, AOV went from €32 to €62.
Rapi Bundle let them add a bundle builder so instead of just buying one bottle, customers could pick multiple fragrances and create their own set. They chose from the full catalogue, their way. No pre-packaged bundles forced on them.
Then the gift kicked in. Spend above a certain amount and you unlock a free gift. That one mechanic gave customers a reason to throw a third or fourth bottle in. They weren't being upsold, they were chasing a reward they actually wanted.
That's it. Give people freedom to build their own order, then give them a reason to make it bigger.
In 5 months, Fragrance Korner generated $67,000 in extra revenue they wouldn't have seen otherwise. Not from more traffic. Not from new customers. Just from existing customers spending more per order.
AOV went from €32 to €62. Nearly doubled. That's the same customer, same visit, twice the basket.
The bundle builder and gift incentive did the work. Customers who engaged with it didn't just add one more item, they built out full sets. The gift threshold gave them a target to hit, and most of them hit it.
The A/B testing meant nothing was left to gut feeling. They ran the offers against each other, let the data pick the winner, and rolled with it.
No extra ad spend. No discounting. No race to the bottom on price. Just a better experience at checkout that made spending more feel like a good idea.
