Social merchandise recommendation engine inSparq has driven a 7.8% lift in online sales for online apparel retailer DrJays.com.
The platform enables retailers to showcase trending products to all web site visitors, including those without a past purchase or browse history. The engine is designed to differentiate from traditional recommendation engines such as Amazon that are catered more toward repeat customers.
To branch out beyond repeat customers, inSparq leverages social data and a proprietary trending algorithm that has been built and refined over the last two years.
“Combining social data with purchase data for recommendations creates a perfect balance — shoppers can easily find ‘what’s hot’ and gain social validation for their purchase decisions,” said Veronika Sonsev, CEO of inSparq. “People tend to share aspirational products, while purchasing products they ‘need.’
When a retailer showcases these aspirational products shared on social media, other shoppers engage and buy more of these products, thus increasing sales through lift in conversion rate and average order value. This is because aspirational content inspires customers to buy things they didn’t know they wanted.”
- Amazon Reportedly Plans 3,000 Go Stores; Unveils Recommendation-Based ‘Scout’ Shopping Site
- Personalized Home Page Promos Influence 85% Of Shoppers
- 87% Of Shoppers May Buy Based On Store Associate Input
- Marsh Delivers Localized Wine Expertise To Consumers With Shelf-Talker Rating System
- Ponomusic Boosts Album Sales Up To 20% With Personalized Recommendations