E-commerce as a business has four main drivers: users ,
conversion rate, avg. product price & quantity.
Traditionally, most of the focus has been on getting more users to
site or to some extent converting them to buy something. This leads to
huge opportunity that exist for optimization of Price component within the
avg. order value.
This presentation is a walk through of techniques of conjoint analysis & regression
analysis to help e-commerce store to identify products for which the price could be
Introduction to 4 Different Quantitative Revenue Drivers
Why Focus on Pricing as a Lever to Drive More Revenue
How to Identify Products which Consumers are willing to pay higher prices using Conjoint Analysis & Product Demand Index
Why Use R to solve complex business problems and 3 Real Life Case Studies