FutureBazaar

Industry

E-commerce

Services

Product Recommendation Engine, Social Media Integration

Technology

Python, Facebook API

Client Objective

FutureBazaar asked EbizON to create a recommendation engine that would map customers’ likes from their Facebook profiles to products on FutureBazaar.com. This would help in converting Facebook likes into product sales, thereby enhancing the shopping experience and boosting sales.

Introduction

FutureBazaar.com is a premier online store in India, offering a wide range of products including home goods, electronics, lifestyle items, and more. As the digital arm of Future Group, which includes top brands like Home Town, Central, and Big Bazaar, FutureBazaar serves over 2000 cities and 8000 pincodes across India. Known for providing great deals and convenience, the platform offers access to 20,000 products. FutureBazaar sought to enhance its customer experience by leveraging social media interactions to drive sales.

Challenge

FutureBazaar faced the challenge of converting social media engagement into actual sales. Specifically, they wanted to:

Utilize Facebook Likes: Map customers’ Facebook likes to relevant products on FutureBazaar.com.
Enhance Personalization: Provide a personalized shopping experience to increase customer retention and average order size.
Improve Sales Conversion: Convert social media interactions into measurable sales outcomes.

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What We Did?

EbizON developed and implemented a gift recommendation engine called “GiftPitara” on FutureBazaar’s Facebook page. The key steps included:

Integration with Facebook: We integrated the Facebook API with FutureBazaar’s system to access and analyze customers’ likes.
Recommendation Engine Development: Using the Sales Booster technology, we created a robust recommendation engine that mapped Facebook likes to relevant products on FutureBazaar.com.
User Experience Enhancement: We designed the interface to be user-friendly, making it easy for customers to find and purchase products based on their Facebook likes.
Testing and Deployment: The system was rigorously tested for performance and accuracy before being deployed on the FutureBazaar platform.

Outcome

The implementation of the GiftPitara recommendation engine led to significant improvements in customer engagement and sales:

Increased Conversions:30% of Facebook Likes were converted to impressions. 60% of those impressions were converted to sales.
Enhanced Customer Experience: Customers found it easier to discover and purchase products, which reduced the time spent searching for the perfect gift.
Higher Engagement: The integration led to a drastic increase in Facebook likes and a radical conversion of likes into actual customers.

Client Feedback

Today we are inherently social and shopping is one of the social activities we indulge in. We are always striving to provide our customers with the best shopping experience possible and GiftPitara is a step towards it with social and shopping coming together.

With the addition of Sales Booster’s Facebook application we saw drastic increment in Facebook likes and radical conversion of likes into customers. During the first week of the launch of GiftPitara, 54% of the visitors to FutureBazaar.com were brand-exposed Facebook fans and 30% were friends of fans.

Gaurav Agarwal
Future Bazaar – Online Head