Consumer Intelligence
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Qualitative insights at the speed of your business
Conveo automates video interviews to speed up decision-making.
Definition:
Customer churn refers to the proportion of customers who discontinue their relationship with a brand, product, or service within a defined timeframe. In consumer intelligence, churn analysis goes beyond tracking the rate itself to understanding the underlying motivations, unmet expectations, and friction points that push customers toward exit. Qualitative research is particularly valuable here because churn decisions are rarely rational or single-cause. They accumulate through repeated disappointments, eroding trust, or a competitor offering something more resonant. Identifying these signals early, through real customer conversations rather than survey scores alone, gives enterprise teams the depth they need to intervene before attrition becomes a pattern.
How Conveo Does It
Conveo helps enterprise teams investigate customer churn through AI-moderated video interviews with real participants, not synthetic respondents or AI avatars. A study can be launched in under 30 minutes, with findings delivered in days rather than weeks. At scale, hundreds of at-risk or recently churned customers can be interviewed in parallel, across markets and languages, surfacing the emotional and behavioral signals that explain why customers leave and what might have kept them.
Related terms.
Qualitative Research
Customer Effort Score (CES)
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Customer Experience
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Qualitative Research
Customer Insight Engine
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Frequently asked questions.

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