Product pageLiveCartLiveThank-you pageLiveEmailLiveBlogDraft
On every spot you choose
Point at a spot on your own site and it becomes a location. Product page, cart, thank-you page or your blog.
Recommendations
Show every customer what goes with it.
Recommendations learn from every customer and pick the products they are most likely to want, based on live stock and their purchase history. On your product pages, in your emails and in pop-ups.
The right product, wherever your customer looks
Not a static bestseller list. Recommendations learn from every customer and show what fits them.
Often bought togetherCompletes this productCustomers like you also boughtTrending in segment
An algorithm per spot
Often bought together, completes this product, customers like you also bought. Pick per spot.
TTimBought the Runner Red SocksShoe spray
Learned per customer
Recommendations follow each customer's behaviour and purchase history. No orders yet? Then your bestsellers fill in.
Linen capIn stockCanvas beltSkippedEspadrillesIn stock
Only what you can deliver
Based on live stock. Sold out? Then it isn't recommended.
Goes well with · Product page ClicksOrders
See what it brings
Per recommendation you see the clicks and the orders that came from them.
Let Susan do it. Or do it yourself.
Susan is your AI colleague in Reloadify Autopilot. She uses recommendations in every email she writes. Or set up each spot yourself.
Post-purchase · Email 1 · Day 3
- Thanks for your order, Ria
- Block · Goes well with your barbell
- Block · Customers like you also bought
Let Susan do it
Susan adds recommendations to the emails she writes, and picks the block that fits the moment.
- Location
- Product page
- Algorithm
- Goes well with
- Public title
- Others also bought
- Priority
- 1
Or do it yourself
Point at a spot, pick an algorithm, give it a title and style the slider. Then switch it on.
Machine learning
Built in Groningen
The suggestions of the big marketplaces. Working for your shop.
The kind of recommendations the big marketplaces run, built by our own team in Groningen. Your data stays in Groningen.
Works with the rest of your stack
Recommendations show up wherever your customer meets your shop.
Personal products in every email.
DiscoverPop-ups
Collect email addresses with pop-ups at the right moment.
DiscoverSearch
Search that learns synonyms and fixes searches without results.
DiscoverCategories
Category pages sorted by what actually sells.
DiscoverCustomer Data Platform
One customer profile with RFM segments and predictions.
Discover“We now have a much better picture of our customers.”
Frequently asked questions
How does Reloadify know what a customer wants?
Machine learning looks at each customer's behaviour and purchase history, and at your live stock. A customer without orders sees your bestsellers.
Where can I show recommendations?
On any spot of your site you point at, such as the product page, cart or thank-you page. And as a row in your emails, flows and triggers.
How are Recommendations priced?
Recommendations are part of Onsite, our package for everything in your webshop, priced on your orders per month. See pricing for the details. See pricing
Does it work if my email stays with Klaviyo?
Yes. Onsite is separate from Engage, so you can use recommendations on your site while your email stays with Klaviyo or Spotler.