The personalisation test
There's a simple test for any consultation: remove the client's name and ask whether that proposal could be handed to anyone else. If the answer is yes, personalised was just a word.
What makes a proposal specific is always a small set of data: facial proportions, hair texture and density, technical history, the time the client spends each morning and how often she can come back. Five pieces of information, not thirty.
Personalisation is demonstrated when those data appear in the reasoning. «I'm suggesting this length because with your density anything below the shoulders would lose body, and because you told me you have five minutes in the morning» is verifiable; «I chose the cut that suits you best» isn't, and it's indistinguishable from any other consultation.
The data that actually change the decision
The chart is qualitative and shows how much each datum, once recorded and used, makes the proposal different from a standard one.
Standard or specific
The table compares two consultations for the same service, separating what is stated from what stays implicit.
| Aspect | Standard consultation | Specific consultation |
|---|---|---|
| Reasoning for the proposal | Generic, about taste | Tied to recorded data |
| Alternatives | None or one | Two compatible, with differences stated |
| Upkeep | Mentioned at the end | Quantified in minutes and weeks |
| Final document | None, or just the price | Plan with data, choices and upkeep |
Making it verifiable
Record five data points
Proportions, texture, history, time, frequency.
Cite two in the proposal
That's what makes it specific.
Show two alternatives
With the differences stated.
Write the reasoning
The next visit picks up from there.
To put into practice
- Cite at least two recorded data points when you explain the proposal.
- Ask about available time before proposing, not after.
- Write the reasoning into the document: that's what makes it verifiable.
The question about time is the one most often skipped and the one that most often explains dissatisfaction. A look requiring daily styling proposed to someone who styles once a week will produce, for months, a result different from the one agreed, without anyone having made a technical mistake.
Writing down the reasoning also has an internal effect. At the next visit, whoever picks up that client knows why that direction was chosen and can continue instead of starting over, which is the most concrete way a salon shows it remembers people.
From talk to guided consultation
Saloria makes personalization visible via analysis, look plan and connected protocol. It doesn't replace management software, doesn't promise real-time AR and doesn't turn look plan into certainty. It brings method to the moment when client and professional decide the look together.
Frequently asked questions
How much data does personalisation take?
Little, and used: proportions, texture and density, technical history, available time and return frequency. Collecting thirty without using them changes nothing.
How do you demonstrate it to the client?
By citing the recorded data in the reasoning behind the proposal and putting them in the final document.
Does it make the service longer?
A few minutes in the consultation, usually recovered in the back through fewer questions and fewer corrections on the fly.