In this presentation you will learn: The story of segmentation model creation (mistakes, learnings, new ideas), combining NPS (Net Promoter Score) and qualitative research and new product development: studying UX.
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?
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.
The aim of this paper is to present and to âtrainâ attendees to a new methodology made to decipher in a qualitative manner web navigation data. This paper will discuss the opportunity of using this kind of data for qual researchers, present the methodology that we suggest, and use it on a couple of examples from various industries. One of our core illustrations will be based on the â'appiness projectâ presented at an earlier conference.
The aim of this paper is to present and to train attendees to a new methodology made to decipher in a qualitative manner web navigation data. This paper will discuss the opportunity of using this kind of data for qual researchers, present the methodology that we suggest, and use it on a couple of examples from various industries. One of our core illustrations will be based on the 'appiness project presented at an earlier conference..
In this research we focused on conversion which is the most immediate KPI: Does a sponsored vid edited by an influencer, engender more traffic (more impression) on the (sponsoring) brand website? Does it have an impact (immediate or not) on the shopping behaviour of the audience? Do influencers increase the impression rate? This is the main and simple question we wanted to address in this research.
In this research we focused on conversion which is the most immediate KPI: Does a sponsored vid edited by an influencer, engender more traffic (more impression) on the (sponsoring) brand website? Does it have an impact (immediate or not) on the shopping behaviour of the audience? Do influencers increase the impression rate? This is the main and simple question we wanted to address in this research.
With the growth of Internet-enabled mobile devices (mobile phones), online surveys can be carried out regardless of location or access times. This study will give an insight into the extent to which it is possible to achieve a faster response by using Internet-enabled mobile devices for market research and whether this does have a positive effect on the quality of the results. In addition, the study will also provide an overview of which research issues are best suited to the use of mobile data collection in terms of the technological possibilities and differences between the various mobile devices.