What's it about?Traditional research methods like surveys, IDIs, and FGDs fail to capture consumers' unstated responses which are mostly subconscious. Emotion AI technology enables researchers to quantify consumers' emotion, attention, and engagement levels by capturing and analyzing their micro facial expressions, eye gaze movements, and voice tonality. Armored with Emotion AI in the center, Qual and Quant Research now captures what consumers think, feel and see. Entropik Tech's end-to-end research strategy helps brands and researchers capture actionable consumer insights in both Qual and Quant Research in a short turnaround time, 4X faster than traditional methods. What's in it for me?Join Entropik Tech's Stefka Mihaylova (Head of Business, EU) and Giacomo Massardo (Senior marketing research manager) at IGT for an insightful webinar session on the following: Adopting Empathy Driven Quant and Qual ResearchThe 3As of Emotion AI: Agility, Accuracy, and Actionability Making Behavioural Research DIY, Actionable and QuantifiableSneak Peek of our new Qual Research platform - Decode Who is this for?All those interested in Emotion AI and how to make it work for your business
An average customer is exposed to more than 4000 ads a day and has 12 choices for the same product. Moreover, 95% of their purchase decisions is made by the subconscious mind. So, the modern-day customer is not only distracted and overwhelmed with choices, but also makes most purchase decisions subconsciously. IDIs, FGDs and CLTs might not be the best ways to understand the complex mind of this modern-day consumer. Because they are not accurate, bias-free or actionable enough.Emotion AI is solving these long-standing problems by augmenting the traditional ways of consumer research. With more than 90% accuracy and computer-vision based methods, Emotion Insights are making it easy for brands to humanize their media, digital and shopper experiences. Thus, building a positive emotional connect with their customers and increase conversions.Join Lava Kumar, CPO and Founder of Entropik Tech as he talks about:Introducing Emotion AI to Consumer ResearchAugmenting Traditional Methods with Emotion AIEmotion AI driven Consumer Insights for ScalabilityFacial Coding, Eye Tracking and Brainwave MappingSeeing Emotion AI in Action: A Live Demo
With 2021 around the corner, the new realities of remote testing are here to stay. Everything seems to be changing, so we need a fresh perspective and new ways to cope- and this extends to market research. Contextual virtual shopping provides a unique potential for optimizing all touchpoints in the path to purchase- be they online or offline. This holds especially true for companies who until now relied on in-person research. How do you adjust your omnichannel strategy to plan for the unexpected but not back down on the quality of insights? Join Jonathan Asher and young research experts from EyeSee in discussing cutting-edge online research environments- and how to use them for making consumer-centric decisions:-How we help clients who are unsure about taking a leap with a new behavioral methodology that will add value to their research toolkit;-Why the new generation of rookie researchers might have an unexpected edge over experts in solving research problems, and how to nurture innovation in-house;-Why social media best practice studies and e-commerce researches are the bread and butter of 2021;-How new shopper touchpoints, such as click & collect or curbside pickups, can be recreated in virtual contexts.
Ads which trigger any emotion work better than those that don't. Ads which trigger the right emotion work even better. A problem, however, has always been detecting unspoken feelings; the real kinds of emotion that an ad generates. The aim of this study is to enable VF to know which emotions do their brands elicit, decide if these emotions are aligned with the brands, and to determine if emotional targeting was used earlier in the creative process how much better would Ad performance be?
We know that 70% of our communication is non-verbal, while verbal communication adds another 7%. Yet, interpreting non-verbal communication by humans is a time-consuming and highly subjective process. For this presentation, we show how machine learning is making qualitative concept testing more efficient, more scalable, and more objective. We demonstrate how the latest cloud computing and machine learning technologies of emotion analytics and text mining were applied in the process of qualitative in-depth interviewing. The combination of the two methods help observe nuanced consumer responses that never before were capable of being observed and compared by humans.
Developing successful communication is becoming more and more difficult every day, particularly because people are exposed to an exponential number of stimuli, which makes them block out everything they do not consider relevant for their survival and/or more intrinsic needs. However, in order to help brands and their communications succeed in their business objectives, new technologies and theories about how people make decisions are being developed. First of all is the neuroscience development allowing a better understanding of how the brain works. For example, exploring the now well-known brain systems, one intuitive (System 1) and the other deliberative (System 2), strong conclusions about the impact of emotions in advertising, and later in building valuable brands, are being made. On the other hand, facial expressions are recognized as a manifestation of the unconsciousness of our emotions and thanks to technology advancements, facial coding can be used in a scalable way to better understand how advertising impacts human emotions. Then again, facial coding should not exist as an isolated element of communication understanding; it is important to have a holistic understanding between emotions and deliberative responses using direct questions. Therefore, in order to demonstrate the power of holistic analysis with System 1 and System 2, this paper explores three real cases of creative development for one of the most important companies of FMCG in Latin America: Alicorp. These cases helped to build successful campaigns that positively impacted Alicorp's business and their brands.
Target consumers for many Chinese manufacturers are based internationally, and accessing an accurate view of their audience is more imperative than for those living in the same culture as their market. As Chervon expands further into the US and Canada with the plan for the first battery powered ride on lawn mower, the need for consumer data in the form of tangible, actionable insights was identified. The geographical disconnect is the case for many Chinese manufacturers. As trade agreements face tension under the new US presidency, it has never been more imperative to understand the audience and maximise market share for the future.