Ojos en el Mundo is the first market research online community, created by ProColombia, that encourages integration among Colombians living abroad, in order to gather crucial information for Colombian exporters such as consumer preferences, business opportunities, prices, shelf positions, packaging, etc. Our members called 'Lupas' (meaning 'magnifier' in Spanish) will gather this data through simple and dynamic tasks called 'Zooms'. These Zooms try to emulate market research tools where our Lupas can conduct surveys, direct observation in points of interest with photos and videos. Through this information, our analysts may have a better understanding of potential markets.
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Typically, consumer flavour testing is conducted using a structured questionnaire. In general, Asian consumers tend to be relatively reserved and polite in their responses in some countries. We therefore collaborated in a neuro-physiological study making use of EEG, heart rate, and skin conductance, to evaluate consumers' flavour preferences more objectively for flavour development. The study was conducted among female consumers in Jakarta and physiological measurement has helped to reveal the underlying emotional responses of the consumers for two of the most preferred test flavours. This research demonstrates that we can further sensitively measure how different flavours elicit different emotions, providing further insights on how to optimise flavours to maximise consumer preference.
Our goal was to conduct a study on a research project using big data and to compare the outcome of the analyses with traditional survey research. Online shopper ratings and review data in social media is an exciting and on trend data source and was compared to traditional survey data. The survey data included product tests, i.e. products were placed in-home and consumers evaluated the products using a standardized questionnaire. The objective was to derive substantive insights about the core drivers for a five-star-rating of consumer reviews in online shops or platform ratings for pet care products and compare these insights with drivers of liking from traditional research on pet care products already existing in the market. We validated the hierarchy of drivers for the overall product rating by conducting a meta analyses on previous product tests and assessed the drivers of overall liking.
Our goal was to conduct a study on a research project using big data and to compare the outcome of the analyses with traditional survey research. Online shopper ratings and review data in social media is an exciting and on trend data source and was compared to traditional survey data. The survey data included product tests, i.e. products were placed in-home and consumers evaluated the products using a standardized questionnaire. The objective was to derive substantive insights about the core drivers for a five-star-rating of consumer reviews in online shops or platform ratings for pet care products and compare these insights with drivers of liking from traditional research on pet care products already existing in the market. We validated the hierarchy of drivers for the overall product rating by conducting a meta analyses on previous product tests and assessed the drivers of overall liking.
Demand for ivory in China has risen dramatically in recent years due to rising affluence and travel. Ivory is traditionally being regarded as precious and prestigious. Our challenge is to make it socially undesirable and change consumer perceptions.
Demand for ivory in China has risen dramatically in recent years due to rising affluence and travel. Ivory is traditionally being regarded as precious and prestigious. Our challenge is to make it socially undesirable and change consumer perceptions.
When beer beats wine in the restaurant! The quest fora perfect beer and food combination by using big data, algorithms and contextual consumer product testing (VR). In this paper we will therefore first introduce the concept of beer-food pairing based on molecular and machine learning information and its potential relevance for consumer delight. Subsequently, we will discuss the impact of context on the evaluation of such beer-food pairings by illustrating the current state of art in sensory and consumer context research.
Tsquared Insights is a market research agency established in 2010 and based in Geneva. Its Online Search Insights methodology, in particular, leverages big data from global search activity- around two trillion searchers per year across all major search engines- to find patterns in the interests and preferences of different consumer segments. The new methodology can be assimilated to non-intrusive direct observation of millions of consumers, and provides granularity ranging from total population to micro-trend niche.
When beer beats wine in the restaurant! The quest fora perfect beer and food combination by using big data, algorithms and contextual consumer product testing (VR). In this paper we will therefore first introduce the concept of beer-food pairing based on molecular and machine learning information and its potential relevance for consumer delight. Subsequently, we will discuss the impact of context on the evaluation of such beer-food pairings by illustrating the current state of art in sensory and consumer context research.