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Understand how the Q°emotion tool works through use cases.

Background SubintroMobile

“How a bank reduced irritants on its customer journeys and its attrition thanks to emotional analysis”

Use Case: Banking

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Churn
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Customer experience
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Agencies network

The company

Regional Bank of a French mutual banking group created in 1885, with 180 branches over 3 departments, serving 730,000 clients.

The challenge

Reduce attrition by detecting negative emotional situations such as anger and disgust that may reflect an intention to leave the bank.

The solution

Q°emotion enabled this company to highlight new elements from its customer feedback that were not previously identified by the quantitative analysis.

The result

Q°emotion, through its emotional algorithm, has brought to light intentions of attrition and areas of improvement within pathways through the identification of felt emotions such as fear, anger or disgust.

Other resources

Q°emotion enables you to…

Automatically classify
verbatim.

Automatic classification

Q°emotion, a tool for ...

Prioritize irritants
on customer journeys.

Irritants & Customer journeys

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