Recommender systems are proven to increase average order value.
Use smart algorithms to recommend products commonly bought together.
Keep customers browsing longer
Help customers home in on what they really want by showing similar and related products.
Are you going crazy trying to increase your sales?
So you've set up your store. You're making a few sales, but people are only buying one or two items. Yeah, it feels great to get those order notifications, but what really matters is the "Today's Sales" figure.
Or maybe potential customers arrive at your store and leave without finding what they need. The worst bit is, you know they're not coming back.
And what if you want to cross-promote products, or push a particular item, either because you're overstocked or because that's where you make your margins? Where do you even start?
There are so many apps out there that promise to help, but how do you know if they really add to the bottom line?
It's enough to drive you up the wall, but it doesn't have to.
What if you could increase your sales effortlessly with the traffic you already have?
Instead of letting your customers browse aimlessly, you could show them accurate suggestions, as if you were reading their minds.
You could skyrocket average order values by cross-promoting perfect product combinations, automatically.
What if you could push a single product across your entire store with a couple of clicks? Bye bye, dead stock!
And wouldn't you like to know, down to the cent, how much your sales app is adding to your bottom line?
With Recommendify, you can do all that and more.
Recommendify is a recommender system for Shopify stores, like the ones used by the most successful online retailers.
Here’s what Recommendify can do for you:
- Related Products:
Recommendify analyzes your products to figure out which ones go together, then suggests them to customers so they can zero in on exactly what they want.
- Cart Recommendations:
Recommendify mines your order history for purchasing patterns and finds products that are frequently bought together, then suggests upsells to your customers on the cart page before they check out.
- Hand-Picked Recommendations:
Recommendify's algorithms are great, but sometimes you want to take control of things yourself. With custom recommendations, you can manually select the products that are suggested.
- Click and Conversion Tracking:
Recommendify tracks clicks and conversions over time and calculates the total conversion value so you always know how much money the app is making you. The dashboard area also contains clear documentation to get you up and running quickly.
Just do the math: how much is a ten percent increase in monthly revenue worth to you?
And with a 14-day free trial, you can figure out if it works for your store without risking a cent.
So what are you waiting for? Click "Get" and watch your sales go through the roof.
See the app in action
Explore how the app works in an example store.View example store
Pricing 30-day free trial
< 500 products
500 - 1999 products
* All charges are billed in USD. Recurring charges, including monthly or usage-based charges, are billed every 30 days.
Most recent reviews
Spirits and Spice
Reading the reviews I was very excited to implement this app. I downloaded it and started working with it. I had some questions and contacted support. After sending 5 separate emails over a week and not receiving any response I am deleting the app.
Alex + Nova
We run a clothing shop, prior to Recommendify our Related Products section was either populated manually or using the Shopify default logic which is the same for most of the products and does not make much sense. The default Recommendify algorithm is probably 99% of what we would do if we were to manually set it for each product, just that it is all done automatically, by default!
In short: Recommendify is easy to install, great at what it supposes to do, provides excellent support! 5 stars.
Acorn Toy Shop
Very helpful customer support and well designed app. I appreciate the opportunity to be able to create custom recommendations.