The sales agent sells on every page, to every visitor.
It ranks your search, picks the products on each page, shows the right banner and answers the chat, from one memory of each shopper.
- Search, recommendations, chat and banners
- Works before anyone logs in
- Shopify app, live in hours
Search results ranked for the person typing.
Results follow your live catalog, what this shopper returns to, and what similar shoppers bought. It works as you type, on the web and in the app, and ranks per shopper rather than by keyword alone. Every search joins their profile, so pages, chat and the next email know what they looked for.
What personalized search means →The right products on every page, chosen for each visitor.
Product blocks on the home, category, product, cart and thank-you pages, with the approach picked per visitor and page. It tests choices and placements against each other and moves traffic to what sells. Your merchandising rules stay on top: boost, bury or exclude whatever you choose.
What next-basket prediction means →
A chat that answers from your catalog and builds the basket.
It answers product questions and recommends from the live catalog, in the languages you sell in, from your size guides, FAQs and policies for each market. Signed-in customers can check their orders. When a person should reply, it hands the conversation to your team in Gorgias, Zendesk or Freshdesk. Every language is signed off before launch.
The chat in every market →The agent works for every visitor, from the first page.
Banners and pop-ups that carry products
Banners, pop-ups and exit messages, shown by behavior and segment, with your frequency rules.
Works before anyone logs in
Every visit is captured server-side; anonymous shoppers get results, products and banners chosen for them.
Sell to visitors you can't see →One memory with your messages
What a shopper searched and viewed carries into their emails and push.
How retention works →Checked with a holdout
A share of visitors never sees the agent; compare revenue per visitor in your own data.
What a holdout group is →Where the revenue came from, in clients' own data
One client each; the first three compare feature users with other shoppers.
of revenue from the 4.9% of visitors who used search, over 35 days.
Read the case study →Womenswear brand · Shopify, Singapore29%of revenue from the 3.8% of visitors who used recommendations, first 25 days.
Read the case study →DIY and home retailer · Bulgaria3.9×the average order when the chat agent recommended products, over 30 days.
Read the case study →Kitchen appliances · Shopify, Malaysia2.3×as many add-to-carts per visitor in a 50/50 A/B test. Significant at 95%.
How we test →“Thanks to Releva we manage to offer our customers much more personalized and relevant content. We engage them, encourage them to buy and increase the average basket.”
Where this has run
Your usual items, at the cart
The items each shopper usually buys, before checkout.
Read the use case →Use caseYour team sets the theme. The agent picks the products.
Weekly themed rows, products picked per shopper.
Read the use case →Use caseA chat that answers in every market you sell in
Live catalog, own orders, each market's policy, handover to your team.
Read the use case →Questions about the sales agent
What does Releva's sales agent do?
It gives every visitor a personal shopper. It ranks your site search, picks the products on every page, chooses banners and pop-ups, and answers questions in chat from your live catalog and documents, in your store's languages. It works for shoppers who never log in, and toward the goal you set.
How is a sales agent different from a chatbot?
A chatbot waits for someone to type, and most visitors never do. The sales agent works on every page for every visitor: search, product pages, banners and the follow-up message. Chat is one of the places it sells, from the same memory of each shopper.
How is Releva different from Zipchat, Rep AI or Tidio?
Zipchat calls itself an AI chatbot for ecommerce sales and support, Rep AI an AI shopping and sales assistant, and Tidio's Lyro an AI customer service agent. Releva's chat is one part of a sales agent that also ranks search, picks products and writes messages from one profile per shopper.
How is it different from Nosto, Rebuy or LimeSpot?
Nosto calls itself AI-powered ecommerce personalization, Rebuy a personalization platform for Shopify, and LimeSpot AI product recommendations for Shopify and BigCommerce. Releva's recommendations come from the same profile as its search, chat and messages, so what a shopper asked in chat or opened in an email changes what they see next.
Does it work for visitors who are not logged in?
Yes. It learns from the first page view, so anonymous visitors get search results, products and banners chosen for them. When they sign in, buy or click an email, their history joins one profile.
What does it take to install, and how do we see it working?
On Shopify it's an app, live the same day with two years of order history. WooCommerce, Magento, PrestaShop, OpenCart, CloudCart and CS-Cart go live the same day through a plug-in too. Other platforms take 3 to 5 business days. A holdout group, set up automatically, shows the lift in revenue per visitor in your own Shopify or GA4.
See where your store could sell more
Thirty minutes with your store open. If the gaps are not there, we will say so.
Book 30 minutes
You'll talk to one of us.