Emotions are conscious experiences characterized by intense mental activity and a certain degree of pleasure or displeasure (Wikipedia). Arising from the arousal of the nervous system they are triggered by some external or internal stimuli.
In theory, an emotional experience is said to comprise 5 coordinated and synchronized components:
Incidentally, moods differ from feelings in that they are not tied to a specific emotion, but rather a collection of stimuli. They are influenced by several external and internal factors including the environment, and the individual’s physiology (eating, exercising) and mental state. And they can last for a prolonged period of time.
Psychologist Paul Ekman, a pioneer in this field, identified certain emotions that appeared to be universally recognized, which he classified as basic: anger, disgust, fear, happiness, sadness and surprise. Cutting across cultures, people are able to produce and recognize associated facial expressions. This incidentally, forms the basis for the biometric technique referred to as facial coding (refer section Facial Coding, in Chapter Biometrics).
Meanwhile in 1980, Robert Plutchik developed the multi-dimensional “wheel of emotions” depicted in Exhibit 22.8. The eight primary emotions in the wheel are grouped on a positive or negative basis: joy versus sadness; anger versus fear; trust versus disgust; and surprise versus anticipation.
Most dimensional models group emotions along two dimensions — valence (positive vs. negative) and arousal, or the intensity of the emotion. So, for instance, in the wheel of emotion, joy is positive, sadness is negative, and ecstasy-joy-serenity represent different levels of arousal.
Analytics and research techniques for tracking emotions, are founded on these theories. For instance, Ipsos ASI’s Emoti*ScapeTM, employs an emotions landscape that represents the 2-dimensions of emotions. Galvanic skin response gauges emotional arousal by measuring the change in skin conductance, due to emotional sweating. Computer-based facial coding, centred on the premise that some emotions are universal, uses web cameras to track and decipher emotions. Electroencephalography, another biometric technique, tracks synaptic waves to measure various emotions, both in terms of arousal and valence.
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Marketing has changed. More so in practical terms, and marketing education is lagging.
The fundamental change lies in the application of analytics and research. Every aspect of the marketing mix can be sensed, tracked and measured.
That does not mean that marketers need to become expert statisticians. We don't need to learn to develop marketing mix models or create perceptual maps. But we should be able to understand and interpret them.
MarketingMind helps. But the real challenge lies in developing expertise in the interpretation and the application of market intelligence.
The Destiny market simulator was developed in response to this challenge. Traversing business years within days, it imparts a concentrated dose of analytics-based strategic marketing experiences.
Like fighter pilots, marketers too can be trained with combat simulators that authentically reflect market realities.
But be careful. There are plenty of toys that masquerade as simulators.
Destiny is unique. It is an authentic FMCG (CPG) market simulator that accurately imitates the way consumers shop, and replicates the reports and information that marketers use at leading consumer marketing firms.
While in a classroom setting you are pitted against others, as an independent learner, you get to play against the computer. Either way you learn to implement effective marketing strategies, develop an understanding of what drives store choice and brand choice, and become proficient in the use of market knowledge and financial data for day-to-day business decisions.