Zovi
Research · Zovi AI Labs

The intelligence
that predicts revenue.

Proprietary model · DACH aesthetics data · continuously learning

Zovi AI Labs is the research engine behind the platform. We turn the behaviour of real patients into precise decisions: which reward, to whom, in which moment. Quietly, automatically, and sharper every single day.

Aesthetic treatment in a clinic
Hundreds of signals, read in real time
The thesis

Every clinic is sitting on a goldmine of signal.

Purchase history, treatment rhythm, response patterns, seasonal behaviour. Most clinics never see any of it. Zovi reads hundreds of these signals at once and translates them into a single question: what brings this patient back, and when?

Visit rhythm
Next visit in ~6 weeks

It predicts the next visit

From each patient’s personal rhythm, Zovi infers when their next treatment is due, long before the patient thinks of it themselves.

Tuned per patient

200 bonus points

Anna

15% off HydraFacial

Maria

Free brow shape

Lena

It personalises the reward

Points, a discount, or an exclusive offer. The incentive is tuned to value and likelihood, never blasted to everyone.

Send-time model
Mo
Tu
We
Th
Fr
Sa
Su
Optimal: Tue 6:30pm

It knows the right moment

Not too early, not too late. Zovi picks the window with the highest probability of conversion, per person rather than per campaign.

Churn risk
SafeAt risk
Caught before she left

It protects retention

When Zovi senses fading engagement, it intervenes before the patient drifts away. Retention beats win-back.

How Zovi thinks

Four decisions, in real time, for every patient.

We do not expose which variables the model weighs. That is the proprietary core. But here is what the output looks like.

A worked example

Anna’s next HydraFacial is due.

Here is how the model works in the background, with zero effort from the clinic.

HydraFacial treatment
Patient · Anna

A HydraFacial every 6 weeks. Zovi remembers.

Day 0

Pattern recognised

Zovi knows Anna returns for a HydraFacial roughly every 6 weeks. Her next window is opening soon.

Day 38

Silence detected

The expected booking window approaches, yet there is no booking. The model raises her risk.

Day 40

Perfectly timed nudge

Zovi automatically sends a personalised coupon at the optimal moment, relevant rather than pushy.

Day 41

Booked

Anna books. Revenue secured, loyalty renewed, and the model learns from the outcome.

No staff member had to remember. No list, no manual send. That is the difference between an app and an engine.

Why it works

The economics of the right message at the right time.

80%

of consumers are more likely to buy with a personalised experience

Epsilon

5 to 15%

average revenue lift from personalisation

McKinsey

25 to 95%

profit increase from just a 5% lift in retention

Bain, Harvard Business Review

91%

more likely to buy from brands with relevant recommendations

Accenture

The data flywheel

Every interaction makes the model sharper.

Zovi is not a static rulebook. Every nudge sent, every booking, every silence flows back into a proprietary dataset that grows with each clinic and each patient. Modern language models translate those patterns into decisions, and into the right message, in any language and in any tone.

Proprietary dataset

Aggregated, anonymised behaviour from the DACH aesthetics market. An edge no one can copy.

LLM-driven decisions

Language models turn raw signal into personalised offers and copy that converts.

Compounding advantage

More data leads to better predictions, more revenue, and more data again. The lead widens on its own.

Skin and concern analysis
Recommendation

HydraFacial + Vitamin C

Matched to your skin

Add-on · Conversational AI

Give your patients an advisor that never sleeps.

Unlock the Conversational AI module and your patients get guided advice right inside the app. They describe their skin or concern, Zovi analyses it and recommends the right treatment from your own catalogue, booking included, in two taps.

Skin and concern analysis

Patients describe pigmentation, fine lines or acne, and the AI makes sense of it.

A precise recommendation

Instead of confusion, a clear recommendation from your treatment catalogue.

Advice that converts

Patients feel guided, and guided patients book.

71% of consumers expect personalised interactions, and 76% get frustrated when they do not happen.

McKinsey, 2021

The psychology

People do not buy more options. They buy clarity.

Too much choice paralyses. A well-timed, relevant suggestion removes the decision and makes the patient feel understood. That is where conversion is born. Not in the discount, but in the feeling of being guided.

This is not an app. It is a revenue engine.

Zovi AI Labs runs quietly behind every clinic on the platform and gets better every single day.

For competitive reasons, Zovi does not disclose which variables the model weighs. Statistics cited are drawn from publicly available industry research for context. Actual results vary by clinic.

Happy patient using the app
Zovi AI Labs · The Revenue Intelligence Engine