Customer Intent Detector: See a Message's Purpose and Churn Risk

Flags the purpose of the text and whether it calls for action, so you can separate customers waiting for a reply or about to leave.

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Examples

Result

The result will appear here.

Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.

Labels

The model scores the probability of each label below for every text. You can extend the label set for your needs or use it with labels made entirely for you.

Complaint
A problem or bad experience is reported.
Praise
The business or team is praised or thanked.
Question
Information is requested or a question asked.
Suggestion
An improvement or new feature is suggested.
Churn risk
Intent to stop buying, cancel or switch.
Purchase intent
Interest in buying or questions about buying.
Would recommend
The writer would recommend the business.
Needs a reply
A message the business should reply to.

Where is it used?

Examples of how teams use this model in their daily work.

  • 01

    Finding messages that need a reply

    Automatically flag customers who ask questions, report unresolved problems or are angry, so no message goes unanswered.

  • 02

    Churn-risk alerts

    Route customers who hint at switching to a competitor or cancelling straight to your customer-success team.

  • 03

    Catching sales opportunities

    Mark messages asking about products, prices or stock as purchase intent and pass them to sales.

  • 04

    Product feedback pool

    Collect suggestions and feature requests in a separate pool to feed your product roadmap with data.

Use this model in your own system

Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].

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Frequently asked questions

Is this tool free?
Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
Which languages does it support?
It understands multilingual text, Turkish and English first; results are shown in your interface language.
Is my text stored?
No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
Can I analyse in bulk?
The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.

Other tools

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Want to analyse thousands of reviews automatically?

BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.

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