Market research is embracing insightful new sources of data. Among them, behavioural data is one of the most promising. It has proved to have an edge over survey data by overcoming human memory limitations and lack of sincerity. The challenge, however, in sharing clickstream data with third parties is to avoid violating individual's privacy rights, as defined in the GDPR. To overcome this difficulty, we developed our first "PII Filter", based on an intuitive principle: public web sites can be accessed by anyone; therefore, those URLs should be visited by several people. As a result, a new PII Filter has been developed based on a much more Aristotelic principle, learning from experience. This new PII Filter relies on a supervised predictive classifier: a rule-based algorithm that learns from a labelled data set of URLs.
The problem: Is there a fast and easy way to segment consumers in most contexts and across categories? Solution: Develop a new market segmentation model that helps predict personality dimensions, decision patterns, emotions, and attitudes towards brands and products based on what consumers wear. We developed the Dress Map Model that categorise consumers in terms of five profiles: Pristine, safe, trendy, belligerent, and relaxed. The Dress Map Model is a good complement to existing segmentation methodologies and can be implemented in interviews, observations, questionnaires, and self-reports. We discuss the potential of the model for both industry and government.
The problem: Is there a fast and easy way to segment consumers in most contexts and across categories? Solution: Develop a new market segmentation model that helps predict personality dimensions, decision patterns, emotions, and attitudes towards brands and products based on what consumers wear. We developed the Dress Map Model that categorise consumers in terms of five profiles: Pristine, safe, trendy, belligerent, and relaxed. The Dress Map Model is a good complement to existing segmentation methodologies and can be implemented in interviews, observations, questionnaires, and self-reports. We discuss the potential of the model for both industry and government.
This project is a first step to driving predictive diagnostics to enhance some elements of brand health tracking. We created a 360° view of brand health by looking at customer and non-customers relationships with telecom brands through social media conversation. Key pain points were diagnosed and opportunities for action highlighted. The model and underlying data can now be accessed through an interactive dashboard enabling rapid visual analysis.
This project is a first step to driving predictive diagnostics to enhance some elements of brand health tracking. We created a 360° view of brand health by looking at customer and non-customers relationships with telecom brands through social media conversation. Key pain points were diagnosed and opportunities for action highlighted. The model and underlying data can now be accessed through an interactive dashboard enabling rapid visual analysis.
Grounded in social science, the first to know innovations diffusion demonstrates the role of different categories of innovators in spreading the word of mouth. Is it possible to combine it with a data system to further support its predictability?
Grounded in social science, the first to know innovations diffusion demonstrates the role of different categories of innovators in spreading the word of mouth. Is it possible to combine it with a data system to further support its predictability?
Text data is an untapped goldmine: By using text categorizations, AI can predict NPS better than with closed questions. NLP analytics had been used for auto-coding with great precision. Results shaped SONOS' product development strategy.
Text data is an untapped goldmine: By using text categorizations, AI can predict NPS better than with closed questions. NLP analytics had been used for auto-coding with great precision. Results shaped SONOS' product development strategy.
The future is here - calling for Brilliance from us all: to compete, to convince and to inspire. Executive speaking and gravitas coach Caroline Goyder, with comedian-turned-researcher Will Goodhand, will equip you to unlock YOUR personal brilliance.
The world is becoming more complex - consumers are exercising greater choice, information sources of information are fragmenting, and the regulatory and political environment is growing more sensitive. In such an environment, the asks of the Insights function are becoming more demanding - in terms of a widening sphere of influence, becoming more predictive and real time in analytics, and taking on more activities. In such an environment the Insights team is suddenly finding that they finally have a seat at the executive table with the attention of the wider organization. This paper reflects the journey of PepsiCo India to effectively build networks to drive greater impact to business.
This presentation describes how the research industry can use Virtual Reality (VR) simulations to predict and produce the effectiveness of shopper marketing activations. We propose a VR pre-testing programme for companies keen to understand and hone the effectiveness of shopper activations. We set out how, by combining the latest thinking from psychology and the best-in-class VR technology, we can unlock growth for brand owners and retailers alike.