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HomeTop featuresImplicit 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


Combination of non-declarative and declarative


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)

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

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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