Google and Nielsen came together to develop a way to better understand how consumers go about researching and buying mobile phones. With the internet in the palms of their hands, consumers interact a lot with the medium before considering and/or evaluating or purchasing any product. We wanted to capture this interaction and how this influences the path to purchase for the category. The goal was to reduce reliance on claim-based research techniques, especially owing to the complexity of the digital touch-points to mobile phone purchases, and move to observation-based research.
Is democracy broken? And are Twitter and Facebook to blame? And how are their brands suffering as a consequence?To elaborate on the insights from this initial piece of research, we decided to go further in this direction by exploring the links between social networks and democracy. Our research leverages declarative and passive data collected in the UK, France and Germany, to track both the impact of social media on democratic societies and to assess the impact of democratic disruptions on the reputation of social media platforms themselves. More precisely, in this era of fake news and general distrust towards institutions, how do people get informed, what do they trust and distrust when it comes to news, and what role does Facebook play in the news ecosystem? What are the different attitudes that can be detected here? What does it say about our Western democracies? In addition, what could be done to improve the situation?
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.
This new ESOMAR/GRBN Guideline is for researchers and clients engaged in primary research. It includes all quantitative and qualitative methods that involve direct interaction (such as to get consent) with the data subject, including passive data collection in which the researcher observes, measures or records a person?s actions. It also is meant to provide guidance for those who commission research. Methodologies included but are not limited to surveys, focus groups, in-depth interviews, ethnographic studies and some forms of observational research, including mystery shopping.
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.
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.
Thus the proactive research was able to effectively utilise technology, passive techniques and leverage internal and secondary data available to deliver quality and on the go insights leading to improved engagement and increased revenue. There was also no compromise on the quality in spite of the end to end quick research TAT of less than two months.
In the digital age, market researchers are looking for new methodologies to understand consumer behaviour. Behavioural data collection through passive metering adds value to survey based data collection, as it measures objective data better because it is not limited to human memory. Data collected in a passive way can be perceived as intrusive to the research participant's privacy and intimacy. In our presentation we intend to provide a model to empower the participants, carefully protect their personal information and at the same time preserve the utility of the data collected. This model can help researchers to effectively deal with difficulty in recruiting research participants as well as help prevent biases in the collected data.