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Review Automation

Bruised at Checkout: A 5-Step Review System Timed to How Med Spa Results Actually Arrive

Most med spa review requests fire at checkout, when the client is still swollen and bruised. Here is a five-step system that times the ask to each treatment's own results window and routes unhappy clients to your team instead of to Google.

by Jerrod Anthraper

A client walks out of a filler appointment with a small bruise under one cheekbone and a numb upper lip. Forty minutes later, your software texts them: "How did we do? Leave us a review!" They're sitting in their car looking at a face that doesn't look finished yet.

They ignore it, or worse, they answer honestly and lukewarmly. Two weeks later the swelling is gone, the result is exactly what they wanted, and they're telling three friends about it — and at that point, nobody asks them for anything at all.

The leak: your review timing is wired to your billing system

Almost every med spa's review request fires off a transaction event. Checkout completes, invoice closes, the automation sends. That's not a decision anyone made on purpose; it's just the only event the software knows how to see.

The problem is that aesthetic results run on a completely different clock than payments do. Neurotoxin needs about two weeks to settle. Filler looks its worst at day two and its best at day fourteen. Laser resurfacing looks alarming before it looks good. Body contouring can take eight to twelve weeks to show anything at all.

So the moment you ask is, for a large share of your treatments, the moment your client is least happy with how they look. That's a real cost, because roughly 92% of consumers read reviews before buying, and aesthetic buyers read them harder than most — they're choosing who gets to inject their face.

Why smart operators keep doing this

Nobody sits down and decides to ask people for a review while they're still bruised.

It happens because the request is attached to the only trigger available. Your POS knows when a transaction closed. It does not know that a lip filler client and a hydrafacial client are on entirely different timelines, and it has no field for "results mature in 14 days."

It also happens because staff avoid the ask in person, for a sensible reason. Nobody at the front desk wants to say "would you leave us a five-star review?" to someone who just watched their own face swell. So the human ask disappears, the automated ask stays, and the automated ask is mistimed.

And then there's a quieter failure. When a client is unhappy at day three — bruised, uneven, or just anxious — the automated message hands them a public megaphone at the exact moment they most want to be heard. That's not a review problem. That's a service recovery problem being routed to Google.

The framework: five steps, timed to results instead of transactions

1. Build a treatment-to-window map

Write down every service you offer and, next to it, the number of days until a typical client is happiest with the result. This takes one afternoon with your lead injector and it becomes the backbone of everything else.

A working starting point most spas adjust from experience: hydrafacials and peels, three to five days. Neurotoxin, fourteen days. Filler, fourteen days after swelling resolves. Laser resurfacing, after the peeling phase ends. Body contouring, eight to twelve weeks. Microneedling series, after the second or third session rather than the first.

Your numbers will differ. That's fine — the point is that you have numbers at all, instead of one blanket delay applied to every treatment on the menu.

2. Split the ask into two messages

Never lead with the review request. Lead with a check-in that gives the client somewhere to put a concern.

Message one, sent at the window from your map: "It's been two weeks since your appointment. How are you feeling about how everything settled?" That's it. No link, no ask, no stars.

Message two only goes out if message one comes back positive. This single change does more for your average rating than any amount of asking harder, because you've put a filter in front of the megaphone.

3. Route anything less than happy to a person and an appointment

When the check-in comes back neutral or negative, that client should get a human reply within the hour and an offer of a touch-up or an assessment visit — not a review link, not a discount code, and not silence.

This is the highest-leverage step in the whole system, and it's the one most spas skip. An unhappy aesthetic client who gets seen, adjusted, and taken seriously frequently becomes a five-star review two weeks later. The same client, ignored, writes the one-star that sits at the top of your profile for three years.

The goal is not to suppress criticism. It's to hear it while it's still private and still fixable.

4. Reduce the happy path to one tap, one platform

When a client says they're thrilled, they should get a single link to a single profile, and that link should open directly to the review box.

Do not send them a menu of Google, Yelp, RealSelf, and Facebook and ask them to choose. Choice at that moment is friction, and friction at that moment is a lost review. Pick the one profile that's actually driving your bookings this quarter and send every happy client there until it's where you want it.

Rotate later. Concentrate first.

5. Assign an owner and track two numbers weekly

Someone's name goes on this — not "the front desk," a person. And that person reports two numbers every week: requests sent, and reviews landed, broken out by treatment type.

That breakdown is what tells you your map is wrong. If filler clients convert at half the rate of neurotoxin clients, your filler window is too early. You will never see that in an average.

The proof

Aesthetic buyers are unusually rating-sensitive, and the math on star ratings is steep.

A single additional star in average rating correlates with roughly a 12% lift in conversion, and moving from 3.5 to 4.5 stars has been associated with conversion increases of up to 270%.

That's the real argument for timing. A mistimed request doesn't just fail to produce a review — it produces a mediocre one, from a client who would have written a glowing one eleven days later. Every three-star review collected at the wrong moment actively drags down the number that decides whether a stranger comparing four spas on their phone ever calls you.

What to do first

Build the map. That's step one, it costs you one conversation with your injector, and it's useful whether or not you ever automate any of this. Then compare it against whatever delay your current review automation is set to. Most spas find their automation is firing days or weeks too early on their highest-value treatments.

The reason this system tends to decay is that it requires per-client, per-treatment timing held consistently across hundreds of appointments, plus someone available to catch the unhappy check-in within the hour. That's not realistic to run by hand in a spa where the front desk is also answering the phone and prepping rooms.

That's the piece Tykon's AI agent, James, handles: it sequences the check-in to each treatment's own window, reads the response, routes anything short of happy to your team instead of to a public profile, and sends the one-tap link only to the clients who are actually ready to rave.

If you want to test the idea cheaply first, pull your last 30 reviews and note how many days after treatment each one was posted, then compare that against your automation's delay setting. The gap between those two numbers is your answer. Send it to us and we'll tell you where we'd move it.