Accurate recruitment has been an age-old problem in the world of quantitative research. Think about the last seven days: How many hours did you spend watching Netflix? What is the total amount of money that you spent buying groceries, both offline and online? How many days ago did you last open an app that you do not open every day? The human mind falters in recalling the details of actions taken today, let alone in the last week or month. Nonetheless, traditional recruitment still relies heavily on the user's claim of her category and product usage, purchase history, etc., which leads to inaccurate targeting. An error in recruitment can lead to a much higher gap between the derived insights and the truth. This problem is accentuated even further for mobile-first brands where 'micro-segments' are based on not one but multiple parameters, like purchase history, wallet size, dormancy, product category, etc. In cases where the client's database is used to connect with users accurately (through email/SMS/call), the outcome ends up being inefficient in terms of scale, investments and/or timelines. Can technology really help in accurately recruiting users on the basis of all these parameters with zero margin of error, and complement the insights collected through claimed research at scale, as well as in a cost-efficient manner? This paper demonstrates how a mobile-first brand and its research partner came together to solve the micro-segment recruitment of its app users, in order to solve the core problem of user retention.
Many business settings are recently being moved online due to concerns about the spread of the new Coronavirus (COVID-19), and a rapid increase in the need for online resources is expected in the area of face-to-face offline surveys.Join this session to learn how you can leverage utilizing a comprehensive online insights platform to conduct quantitative/qualitative consumer research towards APAC's largest consumer panelist network in one-stop.
Over the past decade, eCommerce has grown exponentially, with two massive markets, the US and China, ahead of the curve. Within each market, major FMCG companies have tried to optimize their product offer but selling online is different than selling offline, and tactics need to be adjusted to be successful. Sales on E-commerce platforms like Alibaba (T-Mall) and Amazon are affected by product findability and the inability to taste, feel or smell the product. Here we demonstrate how, with the sophisticated use of imagery, these challenges can be overcome.
This is a story of how dreaming big is helping connect Diageo to the lives and rituals of consumers across five African markets. Demonstrating how an innovative mobile qualitative approach is helping Diageo's African research and innovation teams make better business decisions routed in local culture.
This ESOMAR/GRBN Guideline on Mobile Research is intended to support researchers, especially those in small and medium-sized research organisations, in addressing legal, ethical and practical considerations when conducting research using mobile devices. It explains how to apply the fundamental principles of market, opinion and social research in the context of the current legal frameworks and regulatory environments around the world. It supplants previous separate guidelines released by ESOMAR and GRBN in 2012 and 2014 respectively. It is a statement of global principles rather than a catalogue of existing regulations.
This ESOMAR/GRBN Guideline on Mobile Research is intended to support researchers, especially those in small and medium-sized research organisations, in addressing legal, ethical and practical considerations when conducting research using mobile devices. It explains how to apply the fundamental principles of market, opinion and social research in the context of the current legal frameworks and regulatory environments around the world. It supplants previous separate guidelines released by ESOMAR and GRBN in 2012 and 2014 respectively. It is a statement of global principles rather than a catalogue of existing regulations.
This ESOMAR/GRBN Guideline on Mobile Research is intended to support researchers, especially those in small and medium-sized research organisations, in addressing legal, ethical and practical considerations when conducting research using mobile devices. It explains how to apply the fundamental principles of market, opinion and social research in the context of the current legal frameworks and regulatory environments around the world. It supplants previous separate guidelines released by ESOMAR and GRBN in 2012 and 2014 respectively. It is a statement of global principles rather than a catalogue of existing regulations.
Mobile has been a methodology which has been present in the Market Research industry for few years already and even the knowledge about what it can do and its main benefits is wide spread its use is still rather niche. The applications of Mobile for research are gradually increasing and the arise of new solutions is gradually making Mobile not only a methodology that is revolutionizing Market Research but also a tool that is creating an evolution of the existing approaches. In this presentation we will analyse which ones are those revolutionary approaches, which approaches are going through a faster evolution thanks to Mobile and last but not least what is the future of Mobile research in a changing industry.
A story of how dreaming big is helping connect Diageo to the lives and rituals of consumers across five African markets. Demonstrating how innovative mobile qual is helping Diageo teams make better business decisions routed in local culture.
Large internet companies are putting an awful amount of effort into building or improving Digital Assistants (DA). We are still at a nascent stage with this technology, however it is clear that Digital Assistants are set to be a new personalised gateway between consumers, the internet and connected things. The future vision, is that the DA will take your request, and in microseconds its AI will weigh the information it finds (from various API's), against your detailed profile information (and context - where you are, what your personality type is, your mood etc.), and present only the most useful singular response. This presentation will review data from 70K Siri interactions, analyses 100 mobile searches and details how Digital Assistants are currently used and the implications for Brands.