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IMPLICIT AND EXPLICIT ANALYSIS

Measure the said and unsaid that drive purchasing decisions

  • Stop relying on self-reporting and biased studies - rely on our AI-based analysis of emotions and consumer behavior
  • Observe the gap between implicit and explicit consumer feedback and act accordingly
  • Decipher the decision-making mechanisms that influence purchasing, and use the predictive impact to develop/improve your offer
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Comprehensive analyses to break down every decision-making mechanism

 
 

Cognitive sciences

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Combination of non-declarative and declarative

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Emotions analyses

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Implicit? Explicit? - Don't miss any information thanks to cognitive science

Measure what the customer feels (implicit) and what the constumer says (explicit), then observe the differences. For example, the case of a lipstick:


  • Implicit: this lipstick makes the customer feel optimistic.
  • Explicit: I think this lipstick has a nice finish.

Based on the results, we are able to detect the impact of emotions (optimism) on product functionality (finish). Even before choosing a product, consumers unconsciously construct a ritual of practices according to their needs, past experiences, motivations and values. These implicit representations guide purchases, and in order to understand them and create a sensorial envelope around the product, we need to analyze what is unspoken. Impact of lipstick color corrective actions on perceived product value (desirability, purchase intention)

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Organization management

Combine the power of non-declarative measures with declarative measures

Alongside classic declarative tools, objective measures of the various components of emotion have developed, known as non-declarative measures.

  • Declarative measures are full of biases: social desirability, self-representation, experimental demand, etc.
  • Non-declarative measures are objective: they enable you to evaluate behavior and detect the emotions reflected by your products in consumers.
  • Combining the two approaches enables you to observe discrepancies and cover a wide field of data
The various biases of declarative studies

To design a reliable predictive model of a behavior, you also need to rely on everything your customer doesn't say: everything they don't tell you spontaneously, but which their emotions betray. And why is that? Because, when it comes to making a purchase, it's actually your customer's emotions that will guide their choice. And there are four ways to measure this "non-verbal" field, which constitutes far more refined and relevant data for your brand.

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