When you have the Thunbergs of the world to the Trumps, and many in between, how do you find a common ground for sustainability to win?
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.
How can we know in real-time what consumers want?It is necessary to stop resisting change, to go with new contexts and forms of communication by transforming research methodologies into a 24/7 look.
Brand purpose, social trends: Consumer segmentation based on their needs, thoughts and values.
When Artificial Intelligence like chatbots is developed to make genuine connections with humans' beings, it can make a real impact on customer experience.
Today, consumers are bombarded with marketing communication, making it very difficult for brands to differentiate themselves. Digital-first companies can rely on a variety and richness of datasets which is not always matched by more traditional companies. While market research has traditionally helped brands tease out sharp consumer segments, the same segments cannot always be deployed successfully in media executions. This is a story of how research, data science and media came together to maximise the return on precision marketing investment.
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.
The main purpose of this article is to demonstrate that traditional market research won't necessarily function in Cuba. Rather, in this recently opened market, strategic research processes should begin by understanding the country's social context. Specifically, this article presents the highlights of a study to segment the consumers in Cuba. The emphasis is not to explain the results of the study but also to illustrate the intricate process of running a study in the country.
Segmentation is crucial for investment prioritisation, smarter communications, meaningful innovations to capture growth. Furthermore, a holistic segmentation provides "common tongue" - a shared marketing language to be integrated and embedded in all parts of the organisation. This paper seeks to illustrate how creative- embedding through gamification combined with sophisticated database targeting was effective and catalysed a paradigm shift in a leading telecommunication business in Malaysia.
Within the scope of target group analysis, precise insights on the influence of cultural and lifestyle backgrounds are particularly valuable. Car ownership, body types and car brands have specific relevance at different life stages, for different lifestyles and in different cultures (e.g. emerging markets). Concerning innovation planning, designing or communication and marketing, target customers- depending on their lifestyle and cultural background- have specific requirements. As a complement to the indispensable standard segmentation tools, this presentation highlights qualitative psychological cultural and lifestyle research, allowing a particularly detailed and faceted determination of the target group. Practical research examples from Europe and Asia are showcased.
This paper presents a combination of two research techniques to better understand consumers (scientific database), and to help marketers create better product and service concepts. The two research techniques are conjoint measurement for stimulus development and data collection, and segmentation and/or optimisation for database development and application.