In the first study of its kind we explore the digital communities forming on Twitter that live alongside IRL communities, unpicking the fabric of UK Twitter to learn how they form, grow & thrive and their value to Twitter as a service & a business.
In the first study of its kind we explore the digital communities forming on Twitter that live alongside IRL communities, unpicking the fabric of UK Twitter to learn how they form, grow & thrive and their value to Twitter as a service & a business.
Consumer Mood came up in a context of regional economic crisis, seeking to provide Coca-Cola with local sensitivity without losing sight of its international status. Taking care of the rest of these aforementioned points was not part of the design, but a need we faced during the development of the project. We opened the âbehind the scenesâ of the âcontext methodologyâ we used in Coca-Cola South Latin America (Argentina, Bolivia, Chile, Paraguay, Peru? and Uruguay), the good moves and the setbacks in its implementation, to add to the debate the true meaning of operating in real time. We understand that this concern is not only part of our agenda, but of the agendas of many other companies as well.
Consumer Mood came up in a context of regional economic crisis, seeking to provide Coca-Cola with local sensitivity without losing sight of its international status. Taking care of the rest of these aforementioned points was not part of the design, but a need we faced during the development of the project. We opened the âbehind the scenesâ of the âcontext methodologyâ we used in Coca-Cola South Latin America (Argentina, Bolivia, Chile, Paraguay, Peru? and Uruguay), the good moves and the setbacks in its implementation, to add to the debate the true meaning of operating in real time. We understand that this concern is not only part of our agenda, but of the agendas of many other companies as well.
This paper is about the fusion of quantitative with qualitative research. It showcases how quantitative segmentation (and the resultant prime target market identification) and qualitative prime target market motivators can be undertaken in a single source study. The fusion of Stage 1 Quantitative Segmentation with Stage 2 Qualitative Motivators enables costs to be reduced by approximately 25% compared to traditional two staged research. In essence, the result is quantitative segmentation, qualitative motivator, single source data and qualitative insight with quantitative numeracy.
Innovation of qualitative/quantitative fusion, evidenced through a case study. Envisage a segmentation study that also identifies psychological motivators: deep qual insight with quant numeracy. But wait, there's more, costs down 25% and time down 50%!
The inflation wave is hitting full force in the Middle East & North Africa region, at a time where the political scene is not holding strong grounds. Anxiety levels are surging. People are torn between their dreams and aspirations AND the need to sustain existing living standards, driven by their limited means. 'How are people reacting and coping differently or similarly across the region?' and 'How will this impact the business?'Building on last year's success in "Wallet" exploration in Egypt, the journey extends to KSA and Tunisia, aiming to draw a macro view through a comparative evaluation of spending patterns â giving actionable and relevant insights that will help tailor both regional and market-centric strategies with special focus on KSA.
In recent years, the rise of the National Front party has been a major feature of the French political landscape. Understanding the drivers behind the electoral successes of that party is now crucial for mainstream parties if they want to counter it efficiently. This is no small task, as the vote for the National Front is difficult to estimate for pollsters. Our contribution shows how Open Data can help shed light on the question, by combining voting data with freely available administrative data sets. In particular, we address the important question of the link between turn out and the National Front vote. We show that simple correlations between the two are biased and we estimate the true link by econometric modelling, dealing with endogeneity.
In recent years, the rise of the National Front party has been a major feature of the French political landscape. Understanding the drivers behind the electoral successes of that party is now crucial for mainstream parties if they want to counter it efficiently. This is no small task, as the vote for the National Front is difficult to estimate for pollsters. Our contribution shows how Open Data can help shed light on the question, by combining voting data with freely available administrative data sets. In particular, we address the important question of the link between turn out and the National Front vote. We show that simple correlations between the two are biased and we estimate the true link by econometric modelling, dealing with endogeneity.