Price Discovery Techniques for e-commerce Stores & R Google Analytics

April 22, 2015
Education Level
Who should attend
CMO, CEO, Director of Web Analytics, Sr. Web Analyst, Digital Marketing Manager

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 improved.

You’ll learn:

  • 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

upcoming webinar date
Upcoming Webinar
Achieve 1.5x Higher ROI with Predictive Remarketing Know more
Our Services

E-commerce Price Discovery Engine

Achieve higher profit margin for your products without affecting product demand using Price Discovery Engine Learn more