Brand purpose, social trends: Consumer segmentation based on their needs, thoughts and values.
Through this study, Viacom set out to learn the 'secret sauce' of the best festivals and to evaluate how that might be improved. This paper summarises the key findings from the study and presents a 'festival framework', identifying the key ingredients to get right, as well as those that are not as important. It provides a comprehensive understanding of music festivals, along with the opportunities and challenges that they present for brands.
NAILBITER Videometrics offer a truly unique step forward for video-based quantitative research. By confronting the obstacles faced by traditional surveys, video represents a new option for researchers and marketers to see and hear their shoppers. With a collection of standardized videometrics across a quantitative sample size, the insights revealed using quant video offer a unique, actionable, and believable data. Manufacturers understand and highly appreciate the value of having a maintained and constantly growing Norms database through which to compare their metrics. As an industry thought leader, NAILBITER has consulted FMCG brands towards the confluence of online surveys and observational research. In response to constantly growing demands in the industry, they look forward to continuing to bring highly scalable, behavioral methodology to clients across the FMCG industry.
We conducted this research in order to be able to cross analyse the results of these happiness indexes with online behaviour. Our research - in France, Germany and the UK - combined a traditional online survey, which matched the happiness question wording of the official well-being surveys with passive tracking data (i.e. web and app behaviour tracked across the participants' phones, tablets and PC/laptops). It was vital here to obtain real behavioural data because when it comes to Internet usage, declarative data may be biased or inaccurate (even if you are ready to face the truth, it is difficult to estimate the time you spend online each day, on every website, every app, etc.). Our research combined traditional and new passive methods.
With every quantitative market research study, data quality is critical. Researchers can now be confident that their quality checks are effective, with the validation of different steps that allow the identification and elimination of dishonest/inattentive participants in online surveys. In this workshop, Research Now and FactWorks will present the results of their maximum difference scaling approach in a multi-country comparison, giving practical recommendations on how you can use quality checks to eliminate participants and answers that may distort the integrity of your results.
Strategies on how to best balance expanding survey length with the need for concise, relevant and engaging surveys is explored in this paper. Innovative ways to shorten survey length without compromising the amount of business decisions that can be unearthed and accurately researched from online surveys are reviewed. The overall goal is to explore how adapting survey research improves rather than complicates the lives of both researchers and research participants. If we are not able to shorten our surveys, then survey modularisation is certainly a proven approach that can be adopted to deliver a complete, representative data set. It will also achieve accuracy and data consistency both confidently and efficiently at scale.
Nowadays social listening and analytics is an integral part of market research and customer insights. Surveys alone are no longer adequate, or fully representative of how consumers perceive brands and products, unless they are shorter, faster, and integrated with other sources of information such as social listening. It will be shown that accurate social listening integrated with retail measurement and surveys can help companies uncover valuable customer insights. A case study about Health & Wellness will be presented to showcase the power of data integration.
Ascription is a data science method which we have adopted to cut long questionnaires for mobile surveys, shorten the length and decrease the cost of large tracking desktop surveys. Using proprietary mathematical and statistical algorithms, responses are accurately ascribed to some respondents based on the overall data of the studied population, and without the need for the respondents to go through the entire survey. A secondary benefit comes in the form of cutting costs by shortening the surveys for some respondent segments, survey length and data collection are greatly optimised.
The purpose of this research is to provide qualitative content analysis of motivation as a relevant category in the relationship between user and brand - in the Twitter context. One hundred Twitter profiles were downloaded, for the researcher's convenience, with consent from the users, and two hundred surveys were conducted on Colombian millenials (19 to 30 years old) who are Twitter users and follow a brand. This study focuses on visualising the motivations, needs and expectations of Colombian Twitter users, as well as why they follow a brand.