Consumer Intelligence
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Qualitative insights at the speed of your business
Conveo automates video interviews to speed up decision-making.
Definition:
VoC analytics refers to the discipline of capturing, organizing, and interpreting feedback gathered directly from customers across interviews, surveys, and open-ended conversations to build a structured picture of customer needs, perceptions, and behaviors. Within consumer intelligence, VoC analytics moves beyond simple satisfaction scores to identify the underlying motivations and emotional drivers that explain why customers behave as they do. Effective VoC analytics programs combine qualitative depth with systematic analysis, producing findings that are traceable back to real customer language rather than aggregated averages. For enterprise teams, the value lies in translating continuous customer signals into decision-ready outputs that stakeholders across brand, product, and strategy can act on with confidence.
How Conveo Does It
Conveo supports VoC analytics through AI-moderated video interviews with real participants, capturing voice, tone, facial cues, and spoken language together so no signal is lost in transcription. Teams can launch a study in under 30 minutes and receive structured, stakeholder-ready findings within days. Because interviews run asynchronously at enterprise scale, hundreds of real customer conversations can be analyzed in parallel, producing thematic clusters, sentiment arcs, and verbatim evidence that gives VoC findings the credibility stakeholders require.
Related terms.
Qualitative Research
Voice Analytics
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Multimodal Analysis
A method for identifying and organizing patterns of meaning across qualitative data sets.
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