Conjoint analysis and trade-off index

The drivers behind decisions are often hidden and are made up of trade-offs as a customer balances their preferences against what is on offer. Conjoint analysis and trade-off techniques are methods for investigating and modelling these trade offs to understand the relative values customers place on different elements.


Introduction to conjoint analysis - Find out your true customer needs and values by understanding how they make trade-offs using conjoint research then use the conjoint results to predict how product developments will affect market share.

Conjoint demonstration - Live interactive illustration of how conjoint analysis works to estimate customer utilities (part-worths) and values.

Conjoint analysis modelling demonstration - Demonstration of applying the results conjoint analysis to model market share (share of preference) in an interactive market model.

Full Excel-based demonstration from design to part-worth calculation - An Excel demonstration showing how profiles are created, analysed against customer preferences and calculations made using a simple Full Profile example.

A brief history of conjoint analysis - Some background to the conjoint analysis covering full-profile, adaptive conjoint analysis and methods of choice-based conjoint including where the market is currently.

Brand equity and Brand-price trade-off (BPTO) demonstration - What brand equity is and an illustration of Brand-Price trade-off for calculating the value of your brand, or for optimising your product line up

Quality of Service Review using Simalto - Simalto (also known as trade-off grids) can be used effectively where there are a large number of attributes and modelling is less important

Hierarchy of needs - What features should you think about including from 30-60, and what value does the customer place on them


Strategies

Strategic analysis - What is involved in strategic analysis and why do you need it to set the direction for your business.


Intelligence

Better market intelligence - How to collect customer views and opinions and to find out what is happening in your market.


Knowledge

Customer Knowledge - Why customer knowledge is crucial to building strong customer relationships, and why there is more to it than historical information.