LocalSpoon logo

LocalSpoon

$8

/ 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

About LocalSpoon

Launched Sep 14, 2020

Categories

Built by Immersive Ecommerce

Email :

[email protected]

Address

PO Box 803, Athens, GA, 30603, US

Website Privacy policy
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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.

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. more
  • 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

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