Acquisition is getting more expensive. The margin lies in repeat purchases.
Checkout marketing for e-commerce. Activate the customer at the one moment when their attention is guaranteed: the order confirmation.
In e-commerce, the cost of acquiring a new customer climbs every quarter, while attribution via external channels becomes less reliable every quarter. Margin shifts to the second, third and fourth purchase. To repeat behaviour that you have to drive yourself.
Surprize Me activates that repeat purchase at the moment the customer has just placed an order. Every order triggers a reward that can only be redeemed on a subsequent order. No friction in the checkout. No upfront discount on the first purchase. Costs are only incurred upon redemption. Costs are only incurred upon redemption.
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From order to repeat order, on the order confirmation itself.
The checkout itself stays untouched. No extra steps, no pop-ups, no impact on conversion. Activation takes place immediately after the transaction: on the order confirmation, on the thank-you page, in the order email, or in a combination of these.
In practice:
- The customer completes their order as usual
- Redemption is only possible on a subsequent order in the same webshop
- Redemption is recorded as a new transaction and triggers the next cycle
- Redemption is recorded as a new transaction and triggers the next cycle
No pressure on the price of the first purchase. No permanent discount on the product page. The order moment shifts from being the end point to being the starting point of the next order.
Your own data, from your own transactions.
Third-party cookies are disappearing. iOS tracking is becoming ever more restrictive. Attribution via Meta and Google is becoming less reliable every quarter. The only foundation that does not give way is data from your own till.
Surprize Me generates first-party behavioural data, tied to actual orders:
- Identification on activation or redemption, voluntary, with a clear reason
- Visibility of return cadence and frequency per customer
- Segmentation by value, recency and behaviour
- Real-time dashboards to manage repeat rate and margin
- GDPR-compliant, with no external trackers
The more transactions run through the system, the sharper the optimisation becomes. No platform dependency. No vanishing attribution. Your own data, on your own orders.
From order to repeat business
Customer activation, data, and results—all in one platform.
Closed-loop activation
Rewards can only be redeemed on your next order.
Measurable at the order level
Insight into repeat purchase rate, time to next order, and spending on repeat purchases.
First-party customer data
Customers only identify themselves when they want to claim their reward.
The numbers your CFO wants to see.
Because activation and redemption are tied to the same order stream, impact can be attributed entirely to the platform. Not modelled, not estimated. Measured.
Visibility at order level into:
- Repeat rate per cohort
- Time to next order
- Spending pattern on repeat purchase
- Contribution margin impact
- Incremental uplift versus control group
- Cost per return order and effective activation cost
Pilots run with control groups by default, so the outcome is presented for decision-making with proper evidence. Marketing, e-commerce and finance look at the same figures.
Works alongside Shopify, WooCommerce and Magento. With no impact on the checkout.
Surprize Me operates as a layer on top of your existing e-commerce platform. No changes to the checkout flow. No extra steps for the customer. No impact on page speed or conversion.
Out-of-the-box integration with:
- Shopify
- WooCommerce
- Magento
- Custom platforms via API
The architecture scales unchanged from pilot to international roll-out. What starts as a test on a single webshop runs on the same set-up as a multilingual, multi-domain implementation. No re-implementation, no migration.
Calculated upfront, proven in production.
Surprize Me runs in production at retailers with substantial online operations, including Jysk, Mothercare and Bruna. The results are read straight from the transaction stream, not modelled.
On average across deployments:
- 45 to 95% participation
- 17 to 26% incremental revenue
- +100% ROI
For every conversation, the expected outcome is calculated in advance. Based on your revenue, average order value and gross margin, the algorithm builds a watertight business case, deploying the capped cashback budgets as profitably as possible. You know what it will deliver in your own order stream before the pilot begins.