More repeat orders and bigger baskets from the customers you have.
The right next item on every page and in every email, and a follow-up after the first order.
- Runs next to your email tool
- Live the same day on Shopify and plug-ins
- Proven in your own orders
Most stores go quiet after the first order.
They show everyone the same products, send a receipt and wait. The agent treats each customer as one person, everywhere.
| Most stores today | With the agent | |
|---|---|---|
| Product, cart and thank-you pages | The same bestsellers for everyone | The next item for this visitor |
| One static product block per send | Products chosen per recipient, per send | |
| After the first order | A receipt, then silence | Post-purchase, price drop, back in stock and winback flows |
| A shopper with a question | A search box and an FAQ page | A chat agent that builds the basket |
| Rewards and feedback | Separate tools, separate data | Points, vouchers and forms on one profile |
Six ways to bring customers back and fill the basket
Everything she does with your brand shapes what she sees next. One memory runs all six.
The right next item on every page
Blocks on every page show what this visitor is likely to add.
See the sales agent →Each email built for its recipient
In a controlled A/B test, these emails earned 96% more revenue per recipient than a replica of Klaviyo's logic (Singapore womenswear brand, week one).
See Retention →Flows that follow the first order
Post-purchase, price drop, back in stock and winback flows run on email, push, SMS, Viber or WhatsApp.
A chat agent that builds the whole basket
At a Bulgarian DIY retailer, orders after its advice were nearly 4× the store's average order (30 days, shoppers who chose to chat).
Measured in the brands' own orders
Store data, with the comparison and period stated for each.
the 60-day reorder rate of first-time buyers who clicked a recommendation, against those who did not. Monthly cohorts, April to June 2026.
Read the case study →Same brand · year on year+56%repeat-customer revenue, while new customers fell 49%. Total revenue held within 1.4%. 1 April to 14 August 2026 vs 2025.
How we measure →Bedding and sleepwear brand · WooCommerce, Europe−10.2%items per order in the two weeks after the brand began switching Releva off in stages for a test, June to July 2026. That explained 93% of the drop in average order value.
Read the case study →Keep your email tool. Start with one flow.
Klaviyo is your CRM. Releva is your sales agent.
Start with site recommendations and one flow, such as winback. Nothing migrates, and you move more when the numbers say so.
For retention marketers →Questions about repeat orders and bigger baskets
How does Releva increase repeat orders and basket size?
It picks the next product for each person, on the site and in every message, and times the follow-up: back in stock, price drop, replenishment and winback. You choose the goal, bigger baskets or long-term customer value, and it decides per shopper.
How is this different from upsell apps like Rebuy or LimeSpot?
Rebuy and LimeSpot sell upsell and recommendation apps for Shopify stores. Releva chooses bundles and upsells from the same profile as its messages and loyalty program. The product in the cart, the next email and the next voucher all work toward the same goal.
Do I have to replace Klaviyo or my current email tool?
No. Releva runs next to it. Start with one flow and compare both in your own dashboards.
Does this work if customers buy rarely?
There are early signs. At a Bulgarian tyre retailer, Releva-engaged buyers reordered within 60 days at 11.9%, against 6.1% for other buyers (September 2025 to August 2026). That figure is not from a holdout.
See which customers are ready for a second order
One call with your store data. We look at your repeat rate, items per order and where the agent would start.
See it on your store
You'll talk to one of us.