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Medical crowdsourcing: What are Physicians communicating during COVID-19?
Ipsos’ qualitative analysis of G-MED Global Physician Online Community (March 16-20, 2020).
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Global Trends 2020: Understanding Complexity
Global Trends 2020: Understanding Complexity provides a single-source dataset of over 200 questions Ipsos asked of people in 33 markets, on global opinions, attitudes and behaviours around brands, technology, society, consumerism and much more, and combines it with expert analysis by trend specialists.
Customer Experience Analytics
Enabling organisations to ensure their Customer Experience delivers on their Brand Promise.
Applied AI & Data Science
Making sense of unstructured data with cutting-edge artificial intelligence-powered algorithms.
Data Science for Audience Measurement
Enhancing survey data with statistical techniques.
Unified Marketing Mix Modelling & Attribution Solutions
Advising some of the largest global brands with this holistic and unified analytic approach.
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Ipsos Update - April 2019
This month’s edition features Ipsos research and thinking on technology and healthcare, nationality and inclusivity, Indian cuisine, virtual reality, text analytics and more.
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Managing Customer Experience in an ever-disrupted world
Customer Experience is now undeniably a driver of business performance, and companies make significant investment in order to meet their customers’ needs. But how can you ensure that investment creates authentic, influential and memorable experiences which truly represent your brand promise?
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Human Curation in an AI world
Human curation is more important than ever in an age of ‘Infobesity’ as it offers qualities that are not replicable by AI. We show how a fusion of AI synthesis and strategic human curation can help to drive business impact.
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When Difference Doesn’t Mean Different: Understanding Cultural Bias
Running global Customer Experience studies provides both better value for money than individual country studies and a degree of standardisation across markets. However, their validity remains at risk from an age-old research problem: cultural bias.