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Data & trust

Useful insight, built around trusted relationships.

CBIQ is designed to help distributor teams prepare better and support salons more usefully—not to turn a valued partnership into surveillance.

The guiding principles

Relevant information. Clear purpose. Appropriate access.

Authorised

Relationships come first.

CBIQ is framed around authorised distributor–salon relationships and the support they enable.

Relevant

Only useful context belongs.

The product should surface the information needed for a clear business or support purpose.

Appropriate

Access should match the role.

Sales, education and commercial users need different context to do their work well.

Responsible use

Strengthen the relationship, never undermine it.

Distributor teams already learn through visits, conversations, education and orders. CBIQ helps organise relevant signals into a clearer picture.

  1. 01
    Purpose

    Start with the support outcome.

    Use insight to prepare, prioritise, educate and follow up more effectively.

  2. 02
    Access

    Keep context role-appropriate.

    Show people the relevant information they need for their responsibilities.

  3. 03
    Language

    Express inference carefully.

    Use signal, pattern, momentum and likely when the system is indicating rather than knowing.

Our communication standard

Intelligence without surveillance language.

Detailed technical, legal and security claims will be added only when they are verified for the final product model.

Say

“Changing usage patterns”

Describe useful commercial context without implying unrestricted visibility.

Say

“Likely replenishment”

Make the inferential nature of future-looking insight clear.

Say

“Authorised salon signals”

Keep the distributor–salon relationship explicit in the product story.

Avoid

“See everything in real time”

Do not frame product value around access depth or watching salon activity.

A clearer relationship-led approach

Bring your data and access questions to the conversation.

We’ll explain the intended product model clearly and avoid promising technical, privacy or security capabilities that have not been verified.

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