Recommendation Kit ‑ Upsell

Recommendation Kit ‑ Upsell

by LoopClub

Amazon-like CrossSell & UpSell Product Recommendations.

5.0 of 5 stars(2 reviews)

Bought Together Upsell

CrossSell & UpSell using this widget. They increase per order revenue. Frequently Bought Together makes it easy for you to increase sale.

Based on Your Interest

You can use this widget to show Similar Products as well as Cross-sell products. Cross-selling can help you increase sales and conversions.

Recently Viewed Recommendation

Recently Viewed Products allows users to see what they have been browsing. It decreases bounce rate. Helpful in intent based sales.


About Recommendation Kit ‑ Upsell

How it helps store owners ?

Upsell and cross-sell on your store using Recommendation Kit. We take care of generating personalised recommendations using a proprietary algorithm. Store owners can enable Frequently Bought Together, Similar Products, Recently Viewed using our dashboard and we take care of ensuring that right products are recommended to the user. We support:

  • Frequently Bought Together - Cross Sell & Up Sell.
  • Similar Products - Increase discoverability of Products.
  • Recently Viewed - Decrease Bounce Rate.

Frequently Bought Together Upsell

Similar to Amazon, Frequently Bought Together is a great way to increase order value. This widget allows you to upsell products to customers.

Similar Products/Based on Your Interest

You can target customers once they have shown interest in your products by visiting them. We generate recommendations to target customers. This can be used for cross-sell as well as for increasing conversions.

Recently Viewed

This widget is particularly helpful in re-marketing. This shows the products that users have already visited and have strong interest in buying. This is one of the easies way to convert users.

How recommendations increase conversions ?

Recommendations are personalised and based on relevant products using past order data and other events like add to cart, product page views. The algorithm looks for patterns in user behaviour to find what he/she is looking for. This enables us to show relevant products to the user.

Our algorithm understand where a user likes. For example, premium products or economical products. And accordingly it shows recommendations. Our algorithms are optimised for Click Through Rate for Add to Cart which ensures maximum conversion and sales for Shopify Store owners.

How it works ?

  1. As soon as a store owner installs our app, we use past order data & new user visits to build product recommendations.
  2. These recommendations are then stored on our backend and are used for serving widgets on store page.
  3. Once a user lands on a product page we use the current product to find most relevant products. In case of frequently bought together widget we show user products which are frequently bought with that product. This is a popular upsell technique.
  4. Once a user adds a product or multiple products to cart, we use it show more relevant suggestion using cross-sell.
  5. Over time we understand user preference and are able to show more personalised recommendations to increase conversion.

See the app in action

Explore how the app works in an example store.

View example store

Media gallery

Support

Pricing 14-day free trial

See all pricing options
Early Bird Basic

$9.99/month

  • Similar Products

  • Frequently Bought Together

  • Recently Viewed

  • Unlimited Products

  • 100,000 Widgets Served / month

  • 24/7 Tech Support

* All charges are billed in USD. Recurring charges, including monthly or usage-based charges, are billed every 30 days.

Overall rating
5.0 of 5 stars
Based on 2 reviews

  • 5 of 5 stars
    100% of ratings are 5 stars
    (2)
  • 4 of 5 stars
    0% of ratings are 4 stars
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  • 3 of 5 stars
    0% of ratings are 3 stars
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  • 2 of 5 stars
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  • 1 of 5 stars
    0% of ratings are 1 stars
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Most recent reviews

SuperPhoneGadget

Just free try and don't expect that good! But it really a Good app! Their technical support is great and really help me to solve my problems. Recommend to you!

Developer reply

August 14, 2019

Thank you for such encouraging words. We always strive to provide best service to our esteemed customers.

DYKE & DEAN

Not had a chance to test the app fully as only just installed - but the customer support has been absolutely brilliant! All working and looking good.

Developer reply

August 14, 2019

Thank you for your encouraging words. We'll continue to add features to help our customers succeed.