Learn how to improve time, cost and relevance on research for/with corporate clients.
Learn how to improve time, cost and relevance on research for/with corporate clients.
The key to maximizing market research's value in the age of data science.
The key to maximizing market research's value in the age of data science.
For the first time in the history of the Spanish TV ecosystem, it is possible to measure and understand the holistic viewing behaviour of a TV Show across all platforms with the use of audio matching technology.
In Brazil, there is more than one smartphone per inhabitant and through these devices technology has become part of daily routines, meeting the population's expectations to stay connected at all times and anywhere. In view of that, Croma has developed Mobile Trend: a valuable tool that, through a continuous tracking panel, investigates users' habits and behaviours, carrier attractiveness, device evaluation and purchase decision attributes, as well as drivers delivered as a decision ranking tree, in order to aid and orient mobile segment enterprises in their portfolio construction. This is supported by recent and relevant information that leads to the understanding of the Brazilian consumer's preferences, behaviour and trends. In a nutshell, Mobile Trend is a panel that enables fundamental decision- making based on a consumer-centric approach. The questionnaire was designed to focus on the habits of users. The goal of the research is not only to monitor the ownership of a particular brand or model, but also the solutions to needs users are seeking when choosing the devices they have. At first, the online questionnaire was applied to analyze the declared general habits and for the next waves, the real accesses will be measured in order to allow for a better detailing of the usage. The behavioural and geolocation learnings are being analyzed and will be shown at 2019 ESOMAR Congress.
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 participantsâ 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 âpassiveâ methods.
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.
In this paper, we will introduce a relatively new technology, the MouseTracker, a method that we have integrated in classic in-depth interviews. This has allowed us to get richer insight on three critical business decisions: - How do we segment customers? - How do we develop products based on the real and latent motivations and barriers for the adoption? - How do we identify the competitive set so that we can develop the appropriate positioning? Our aspiration for this paper is that readers will attempt to apply the MouseTracker within their specific business context. The true benefit of the MouseTracker and other new technologies for solving business problems is realised when these are integrated with other methods. Fusion is powerful. Although we have just begun using the MouseTracker, we believe this is an accessible, unobtrusive, easy to use technology that can add value to the field of insights across different industries.