MaxDiff modelling for product feature optimization
Objective To understand which product features or applications are most important to a particular market. Approach An online quantitative survey was conducted that included a MaxDiff exercise in which 40 different product features were evaluated on what is best and worst among 15 sets with 4 features in each set. MaxDiff modelling was used over […]
TURF to maximize messaging reach
Objective To understand the message bundle that makes up the most motivating brand story, differentiating from competition, and thereby capturing the largest portion of the market possible. Approach Message importance was derived from the MaxDiff design. The number of messages included in the design was 40. Message Bundle Evaluation was conducted by a physician/MD ‘carries […]
Market Mix Modelling/ROI Modelling
Objective Identify relationships between sales and various marketing activities to understand how various elements of the marketing mix combine to drive sales in a competitive framework. Approach From the client’s transnational database, we have considered the retail audit data like Volume sales, WARP, Weighted Distribution, and Promotion volumes. From media data, both GRP and NGRP […]
Applied longitudinal data analysis to measure the impact of a program
Objective Understanding impact of viewership on children’s skill levels (tested through an instrument devised by leading child psychologists) after controlling for location, socio-economic levels, gender, pre-exposure levels across a panel of over 5000 children across urban and rural India. Approach Using a naturalistic prospective longitudinal design, the study surveys children and their caregivers in several […]
Classification using higher order interactions: a hybrid approach
For representation in this blog, we have considered German credit data for classification of good and bad credit risk using the interaction of the input variables through a hybrid approach. In this approach, first we developed a decision tree for identifying the significant interactions of the input variables and then, a feed forward neural network […]
An ensemble segmentation approach to Healthcare problem
Client: A pharma major Time: May 2015 Objective: The client initiated a new biologic therapy and wanted to understand the potential drivers and barriers associated with it. He wanted to have a clear idea about the impact of the existing therapies in the market. To find this out we addressed the issues listed below […]
Awareness Trial Usage (ATU) Study
Client : A pharma major Time : April 2015 Objective The client had initiated a disease awareness campaign designed to increase dialog in the medical community regarding the needs of patients suffering from Parkinson’s Disease Psychosis (PDP). The objective was to generate goodwill in the community and consequently nurture a positive disposition towards the brand. […]
How to run successful ads
Client : One of the leading cricket news and information website and app Time : February 2015 Objective As part of the initial brand building exercise, an advertising campaign (print and television) was developed. The idea was to take advantage of the World Cup season frenzy and derive maximum mileage for the brand website and […]
A better understanding of customer choice
Client: A major pharmaceutical company Time: May 2012 Objective The client was developing a new drug for birth control with which he intended to gain shares of the existing market for birth control drugs. To help make the right kind of decisions, the client wanted to gain a clearer understanding of such issues as – […]
Knowing what’s wrong in your marketing strategy
Client: Telecom service provider Time: January 2011 – March 2016 (Ongoing) ————— Objective To measure the brand performance of a data card (dongle) in comparison to competitor brands. Measurement is based on the following parameters: Brand saliency and perception top of the mind awareness (unaided) for brand and advertisement aided awareness brand associations on image […]