A familiar face with a brand new account
You run an introductory offer on brow lamination for new clients. A therapist recognises the woman on her bed: she has been in three times before. Each time she booked as a new client, once under her maiden name, once with a work email, once with her sister's phone number. Each time she got the first-visit price.
The therapist does not want to make a scene, so she says nothing. Reception only realises when looking back through the client list and finding three very similar records.
New-client checks rely on the email address
- Online booking treats anyone with a new email address as a new client.
- Duplicate client records build up and nobody merges them.
- Reception has no quick way to check whether someone has been before.
- Therapists recognise faces but do not feel it is their place to challenge.
- Offers run through marketplaces or social media ads bring in more new-account bookings.
Discounts that do not do their job
Beauty salons are unusually exposed to this. Treatments like brow lamination, lash lifts and gel manicures are repeat purchases every few weeks, so a first-visit price that can be claimed again is worth a lot to someone willing to make a new account. Marketplace listings and social media offers make it easy to find, and nobody at a busy reception desk has time to search the client list by every possible name.
An introductory offer is meant to buy a first visit that turns into a regular client. When the same people use it repeatedly, it becomes a permanent discount for a few bargain hunters and costs you full-price treatments. Duplicate records also mess up everything else: patch test history, course balances and notes are split across several accounts, which matters for things like tint bookings where history counts.
Checking for existing clients before the discount applies
- When someone books with a new-client offer, the booking is checked against your client list in your salon software through its API: similar names, phone numbers, email addresses, and where your payment provider allows, the card used for a deposit.
- Clear matches are told politely that the offer is for first visits and offered your usual price, or a returning-client offer if you have one.
- Possible matches are held for reception, who see the similar records side by side and decide.
- Confirmed duplicates can be merged into one client record, bringing patch tests, notes and history together.
- A monthly report shows how many offer bookings were from genuinely new clients and how many became regulars.
- Your offer terms, stated at booking, make clear who the offer is for.
| Match found | Strength | What happens |
|---|---|---|
| Same phone number | Strong | Offer declined, usual price shown |
| Same card as a past deposit | Strong | Offer declined, usual price shown |
| Similar name and postcode | Possible | Held for reception |
| No match | New client | Offer applies |
The offer terms and how strictly to apply them are your call. We keep the checks polite and the final decision with a person on anything uncertain.
Offers that reach new clients
On a normal week, most offer bookings pass straight through. A couple are flagged as possible repeats; reception looks, confirms one is a regular using a new email and sends a friendly note with the returning-client price. The genuinely new clients get the welcome the offer was meant to give. And with duplicate records merged, a client's patch tests and notes are all in one place.
The monthly report finally answers the question that matters: are these offers bringing in people who stay?
Does this sound like your offers?
- Therapists recognise supposedly new clients from previous visits.
- Your client list has many near-duplicate records.
- Introductory offers are claimed more than once by the same people.
- Reception has no quick way to check for existing clients.
- You do not know whether offers create regulars.