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Customer intent relies on mapped sources to detect and refresh intents as customers move across channels. Because each channel exposes different types of signals, coverage varies depending on whether real-time sources (Natural Language Understanding (NLU) intents, Customer Segments) or post-conversation sources (Topics) are available.
This article describes about the sources contributing to Customer intent on each channel so you can understand where detection is automatic, where it is delayed until after the conversation, and where no native signals exist today. This understanding helps you to plan your taxonomy, ensure that each intent has at least one reliable signal, and set realistic expectations for detection across your digital and voice journeys.
| Channel | Real-time sources | Post-conversation sources |
|---|---|---|
| Web | Customer segments | — |
| Mobile app | Customer segments | — |
| Voice | NLU intents (virtual agent, Copilot) | Topics |
| Web messaging | NLU intents (virtual agent, Copilot) | Topics |
| SMS | — | Topics |
| — | Topics | |
| Social messaging | NLU intents (virtual agent, Copilot) | Topics |
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