Use Cases

Building Customer Confidence with Personalized Real-Time Product Data in a Recent Time Window

Applicable Segment(s):

Fashion & Lifestyle, Health & Beauty, Home Furnishings, Electronics, Luxury, Specialty, DIY, Toys, Office Supplies and D2C

Impacted Function(s):

eCommerce

Solution:
Social Proof
Table of contents
  • The Company
  • The Challenge
  • The Approach
  • Results

The Company

A Leading Beauty Brand

The Challenge

This beauty retailer wanted to aid faster purchase decisions for new products in a category while personalizing the experience for shoppers.

The Approach

The retailer decided that the best way to build confidence and encourage purchase of products was to leverage ‘wisdom of the crowd’ and display real-time count of people that have bought the product in the past 48 hours This was in addition to ratings and reviews to validate quality. This was deployed on all Product detail pages for new products.

They went a step further and personalized the experience by simultaneously displaying the number of people that had bought the product since his/her last visit to demonstrate the item has consistently been a favorite with shoppers.

Results

They found that using personalized real-time metrics just under the ‘Add to cart’ in combination with ratings and reviews encouraged shoppers to buy. This approach helped them improve purchase percentages by over 2%.

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