LocalSpoon

Develop by Shopify

/ Month

7 Days Free Trial

Customer location based product recommendations (personalized)

Boosts average order value

Personalized product suggestions

Increases conversion rates

Location-based recommendations

Displays local favorites

Utilizes nearby customer behavior

Builds social proof

Quick no-code installation

Claim Offer

Install App

About LocalSpoon

Launched Sep 14, 2020

Built by Shopify

Address

131 Tremont Street, 3rd Floor, Boston, MA, 02111, US

Website Support Portal Privacy policy Tutorial FAQ Document

Related Categories

Claim Offer

Zotabox Contact Form Builder

(134 Reviews)

Claim Offer

Sponsored

Add multiple, embeddable contact forms to your website.

Description

Offer customers product recommendations based upon their location, showcasing what's most purchased.

Location based, personalized recommendations displayed anywhere on your store showing your customers the most purchased products in their area. Personalization is one of the most difficult and most effective strategies to excel in online retail. Local Favorites makes it easy. Increase your conversions and average order value (AOV) within minutes by offering hyper-personalized product recommendations based on the customer behavior of nearby shoppers.

Recommend the most purchased products near each customer's location.
Build social proof to increase customers' buying confidence and boost sales.
No-code install, sets up in minutes.

Pros

Location based, personalized recommendations enhance customer experience
Helps to increase conversions and average order value (AOV)
Builds social proof, fostering trust and confidence in customers
No-code installation makes it easy to set up and use
Displays most purchased products locally, providing relevant product suggestions

Cons

Dependence on accurate location data for effectiveness
Possible privacy concerns from users regarding location tracking
Effectiveness might reduce in areas with low population density or low product purchase data
May require regular updates to ensure accurate product recommendations