Big Data and E-Commerce Use Cases

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Personalization & Recommendation

Real time personalization based on○ Recent views○ Most Recent buys○ Gender and Demo ○ Location

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Upsell or Cross selling

● Real time upselling and cross selling while user browsing ○ Item based filtering○ User based filtering

Frequently bought together Customers Who Bought This Item Also Bought

Optimal Pricing

● Price is the most effective way to convert ● Finding Optimal Price is always a challenge

Data Sources:● Competitor Pricing● Current Pricing ● Product Meta Info● Inventory & Demand● Merchant Discounts● Shipping costs

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SEO

SEO is big. If the user can’t discover your content, you can’t sell.○ Site In-linking○ Taxonomy○ Demand Insights

Site In Linking

Demand Insights

Taxonomy

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CRM & Customer Retention

Customer Retention○ Email personalized content○ Price notification○ Product notifications ○ Notify personalized coupons and discount offers

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Cross Device Correlation

● User are browsing on various devices ○ Building continuity helps user experience

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Traffic Acquisition/Advertising

Advertising is the important but understanding the following are the key:○ ROI. Advertising is expensive.○ What/Why/How are Channels the working○ Which Campaigns are the most efficient

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Data Sources:● Campaign Data● Campaign Pricing● Sales related to

Campaign ● CTR

Campaign Performance

Optimal bidding Pricing

Customer Analysis

Understanding your customer is a must. Following are the key metrics:

● customer lifetime value (CLV) ● customer future value (CFV) ● customer churn

Data Sources:● Customer Sales Data● Customer browsing history ● Customer Click Data● Customer Demo/Geo Data

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Dynamic Promotion

Promotions are powerful tools to help increase revenue, but they are costly and important to manage closely.

● Build data-modeled approach that ensures each promotion is presented to just the customer who needs it to drive a purchase.

Data Sources:● Customer profile data● Product Inventory

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Personal Shopping Assistant

Tools such Personal Shopping Assistant help better user experience to drive conversions.

The Process involves: ● building Knowledge database● product Image Repository● building Q&A Engine