MRX time machine: How to use time series forecasting to improve your demand assessment
In the second part of our Innovation in #MRX series we demonstrate how to use time series forecasting to better inform product uptake and competitive scenarios up to 10 years into the future.
Understanding likely demand for a new product or service is essential to help develop the right brand strategy. Techniques such as conjoint and fixed product profile assessments are great for evaluating the market landscape and opportunity, but are they enough? Can we predict the future with greater accuracy? Time series forecasting is one of the latest market research innovations we have been championing at Research Partnership and we would like to share the benefits of this technique with you.
Demand assessment research
Head of Business Analytics Tom Nolte and Associate Director Will Tolley discuss demand assessment research – the various techniques and when in a product's stage of development a demand assessment study should be conducted.
Using demand assessment techniques to evaluate the market landscape and product opportunity
Our client wanted to evaluate the potential of two treatments which would offer efficacy and side effects similar to those of biologics in atopic dermatitis. Therefore our client needed to understand more about the US and German market landscape in moderate-severe atopic dermatitis and how these advanced treatments might fit into the treatment algorithim when they are launched, as well as the potential drivers and barriers to uptake of these treatments.
BHBIA Annual Conference 2016
9-10 May 2016, London
Research Partnership is delighted to be attending and presenting one of the conference training sessions at the BHBIA Annual 2016 in May. Representing Research Partnership is Associate Director Will Tolley who will present the course ‘Demand Assessments: Research to Reflect the Real-World Environment’ on the first day of the two day event.