Customer Cohorts and Customer Segmentation for an E-commerce Company

Customer Cohorts and Customer Segmentation for an E-commerce Company

The Client: A leading online grocery, food-tech company based out of Mumbai, India

Client Background: The company was one of Mumbai’s premier online convenience stores. They have revolutionized the grocery shopping experience making each step of the shopping process as delightful as possible. They grocery stocks over 14,000 products and regularly introduces new products under a wide array of categories.

Geography: Asia Pacific-India
Industry: E-Commerce

PROBLEM STATEMENT
Classification of a typical purchase basket from a customer
Deciphering Customer Cohorts mapped to the purchase basket
Identifying the best promotional pack based on the Customer Cohorts developed
Designing Customer loyalty programs based on the type of basket purchase

M76 ANALYTICS APPROACH
Organize relevant transactional details like Average order size/user, Categories, Sub
categories, product and SKU’s

Profile all possible types of Food baskets and categorize the basket types
Qualify categorized baskets using capabilities such as zone, categories, brand names,
product name, subcategories and billing amount

Through our statistical processing engine, collated inputs were processed statistically to
arrive at FIVE statistically separate categories of Basket Types (Typical Food baskets) –
Customer Cohorts

Customer Cohorts (logical customer groups) were further mined to correlate to their
demographic parameters like Gender, Age, Zip code – Region/Zone

Repeat Customer Analysis and identification of their cohorts were also carried out




Business Analytics and Optimization Joined at the Hip

Business Analytics and Optimization Joined at the Hip

Introduction: Equipping the organization with its essential reporting backbone was in vogue in the 90s and it evolved drastically as we moved in the first decade of the new millennium. While the representations associated with reporting have been evolving, so has been its integration with sophisticated Planning and Optimization activities.

Overview:
Reporting to Decision support – The gradual evolution
Forecast Accuracy and Planning
Insights from Analytics
Joined at the hip – Analytics and Optimization




GOVERNANCE NOW—PSU (PUBLIC SECTOR UNDERTAKINGS) RANKING

GOVERNANCE NOW—PSU (PUBLIC SECTOR UNDERTAKINGS) RANKING

Overview: Governance Now is a multimedia initiative for participatory reportage and analysis related to governance of all institutions and processes that are vital to public life in India. In 2014 Governance Now launched their flagship awards, the PSU awards, to evaluate and award Public Sector Undertakings for their performance.




CUSTOMER SEGMENTATION LED RECOMMENDATION ENGINE

CUSTOMER SEGMENTATION LED RECOMMENDATION ENGINE

The Client: One of the largest private sector General Insurance Company in India

Client Background: Leading private sector General Insurance Company in India with a Gross Written Premium of several billion dollars and with a large E-Business




LIVE ELECTION ANALYSIS WITH PATH BREAKING ANALYTIC TOOLS

LIVE ELECTION ANALYSIS WITH PATH BREAKING ANALYTIC TOOLS

A market leading English News Channel in India develops path-breaking Election Properties collaborating with M76 Analytics

The Client: The client is a leading English News Channel in India, the market leader for more than a decade.

Overview: The client had impaneled M76 Analytics as a consultant for number crunching during elections, and the development of election properties for the live coverage of elections. There was a pressing need to develop innovative number crunching around elections to the extent of metrics as well as Early Warning Signals.