УКРEN
operational block · economic foundation · v0.6

The LUMÉ Bible

The single source of truth for the LUMÉ network of aesthetic-cosmetology studios. Every operational project and all the automation take their numbers from it. The company is fictional — the economics are assembled from real Ukrainian data for 2026.

H2 2026 · ₴2026 · $ = 44.5 ₴ · ~60 sources (Slim, Barb.ua, Ukrstat, NBU, Tax Code, dtkt, BannerBoo) · every number carries an origin tag · retrospective 2021–2026

LUMÉ does not exist. A fictional network — like "Kontur" in movements I–VII. But the economics aren't "fitted to corridors": the market parameters (prices, rent, salaries, taxes, CPL) are taken from real sources and gathered in research/source_register.md with confidence grades.

Every number is marked by origin: S a real market input · M my model assumption · D derived from S and M.

The 2021–2026 retrospective is a simulation of what a network of this type would have lived through (the macro is real, grade A; the LUMÉ trajectory is M), not "LUMÉ's history."

The headline numbers (LTV, CAC, margin, utilisation) are computed, not measured — from real inputs via params.py → model.py → figures.json. Change any input and they recompute. The skill here isn't "state a number" but build the machine that derives it from checkable data, with every assumption on show.


Section I

Who LUMÉ is

A network of medical aesthetic-cosmetology studios in Kyiv. 4 operating studios (Pechersk, Podil, Obolon, Pozniaky), a fifth opening in the centre. An LLC, a VAT payer, an MoH licence. ~16 treatment rooms, ~20 chairside practitioners (3 cosmetologists + 2 doctors per studio) plus admins, nurses, managers.

The position is "the economics of trust" (the portfolio's through-line thesis): in a high-risk category the one who removes the fear first wins. The diagnostic consultation is paid and not credited toward the procedure — the one construction in which "you don't need this" costs the client nothing.

The positioning is derived from market analysis, not assumed: the mass segment is saturated (~4,200 salons in Kyiv, ~71,600 beauty sole traders nationwide), the premium segment fell −38% in 2022 and recovered with double-digit growth — a durable premium demand. S

Google Trends (5 years, Ukraine) reinforces the position: category queries are falling — "cosmetology" −60%, "makeup" −60%, "laser hair removal" −50% — while "botox" +10% and "plastic surgery" doubles. Mass beauty search is leaving, a considered medical procedure is stable. Discovery has moved to Instagram: competitors hold 200–245K followers. S grade B

NetworkBranchesIG followersSegment / tone
Lazerhouse75207Kpremium-mass · promo, deals
Lumenis27–32245Kpremium-clinical · educational content
TC Laser45—mid
Slim4—premium — a direct LUMÉ analogue
Mediskin9—mid

Fig. 1. Real device-cosmetology networks in Ukraine (uba.top + Instagram, 06.09.2026). LUMÉ at 4–5 studios in Kyiv = a mid-premium player, in Slim's league. Competitors are 17–18 years older and larger — LUMÉ (a boutique) realistically 15–40K followers D. LUMÉ's tone is closer to Lumenis's clinical than to Lazerhouse's promo.


Section II

The market and LUMÉ, 2021–2026

Macro — real numbers, grade A. The LUMÉ trajectory — a simulation M. Full version — research/market_retrospective.md.

YearReal GDPInflationReal wage$ rateCosmetology market
2021growth+10.0%—27.4peak, dense competition
2022−28.8%+26.6%−11.9%32.7collapse → V-rebound in ~1 month
2023+5.5%+5.1%+3.7%36.7+15% on −30% supply → demand ×7
2024+2.9%+12.0%+14.4%40.2~10–15%
2025+3.6%+8.0%+6.2%41.7prices +33.6% (Kyiv +20.3%)
2026 H2slowingslowing—44.5"beauty boom", tightening regulation

Fig. 2. LUMÉ revenue 2019–2026, a simulation M. Studio 1: 2 rooms in 2019 → 4 by 2023; No. 2 — Q4 2023 (into the "demand ≫ supply ×7" window); Nos. 3–4 — 2025 on the price wave; No. 5 — Q3 2026. ₴3.5M (2019) → ₴67M (2026).

The key finding: beauty services rose +33.6% in 2025 (Barb.ua; Kyiv +20.3%) — 3–4 times faster than CPI. The sector passes rising costs into prices with no loss of demand. In the model LUMÉ's prices are indexed by service category, not by inflation.

Studio 1 survived 2022 on a single location (₴4.5M, −21% on 2021): a generator in autumn 2022 (~₴150K) paid for itself with winter occupancy while only 15–20% of salons were working. The 2022→2023 jump (×2.5) is demand recovery (×1.7) + an added room + a higher ticket; M, but plausible for a surviving player in a year of supply shortage.


Section III

The financial model

Everything is computed from _bible/model/params.py → lume_bible_model.xlsx. LTV/CAC — on gross profit (the same method as movement VII).

Service lineTicket ₴Materials ₴Contribution %Share of revenue
Injectables (botox, fillers, PDO threads, biorevitalisation)8,0003,36048%57%
Device facial (microneedling RF / laser / SMAS)4,60023081%24%
Care protocols and peels2,10042068%14%
Laser hair removal1,3006581%4%
Diagnostics and consultations9001880%2%
Weighted4,228—60%100%

Tickets cross-checked against Slim's full price list (a LUMÉ analogue): botox per zone ₴3.1–4K, Full Face ₴15K, fillers/Sculptra/GANA ₴8–22K, PDO threads ₴3.5–12.5K, microneedling RF ₴6–8.5K. Injectables — 48% of revenue, materials 44% (Sculptra/GANA — vial cost). The mix M drives the whole economics. LUMÉ doesn't run body-LPG/Endosphere.

P&L for one studio · Podil · 75% utilisation · H2 2026₴/mo
Visits per month360
Revenue (ex-VAT)1,449,360
  Materials / products−380,149
  Practitioners — base (sole traders: 3 cosmetologists + 2 doctors)−242,000
  Practitioners — bonus on service value−180,094
  Rent−125,590
  Payroll, employees (2 admins, a nurse, a manager)−124,000
  Social contribution 22% on employees−27,280
  Other fixed (utilities, software, medical waste, insurance, generator)−87,200
  Marketing (6.0% of revenue)−91,325
  Equipment depreciation + lease (instalments)−13,750 / −24,750
EBITDA179,394
  Profit tax 18%−29,816
Net profit135,828 · 9.0%

Fig. 3. Check: sources give an owner's net margin of 10–15% (rented) / ~20% (own premises). LUMÉ's ~9% for a mature studio is slightly lower: some equipment is on instalments, the rent for Pechersk/Centre is estimated above the office corridor (M, grade C — live listings give $17–23 for an office / $25–31 for street-retail). The mature Obolon studio — 10.5%.

₴29,870regular client — revenue/year ($674) · checked against "₴30–100K/yr" S
₴17,742LTV on gross profit ($399)
₴1,806paid-client CAC ($41)
9.8×LTV / CAC (gross profit, paid) · 21.7× blended
≈56%the first (trial) visit covers CAC — the rest rides on retention

Fig. 4. Client unit economics — a two-segment cohort: 42% of new clients become regulars (first-visit retention S), year-on-year retention 70% S, a 5-year horizon. CAC by channel: Meta ₴1,942, Google ₴1,504, influencers ₴1,723. The first visit is modelled as a trial (consultation + a light procedure, check ≈₴2,300 M, weights synced with the Takt VIII dataset), not as an average ₴4,220 visit — so it covers ~56% of CAC, not 103% as in v0.5. The non-resident advertising tax (art. 141.4.6) no longer exists — repealed by Law No. 1525-IX effective 01.01.2022; v0.5 wrongly kept it active.

LTV/CAC 9.8× isn't "great economics," it's a signal. Ukrainian CAC is moderate ($41), premium LTV is high ($399) → acquisition doesn't cap growth. The constraint is capacity and retention (as in movement VIII). CPL is grade C: the one UA anchor is Rabbit Marketing "beauty/health 200–600 ₴/lead"; at a conservative $18–22, LTV/CAC ~6–7×. Split: Meta 60% / Google 22% / influencers 18% — Google is reduced, since category search is falling.
Demand: built up from the districts of presence · [D] on top of [S]people
Women 25–55 in Kyiv (TAM, actual population 3.32M)766,920
Population of the 5 districts of presence (actual, ×1.125 on registered)1,361,763
Women 25–55 in the catchment (incl. +25% inflow from other districts)419,423
Of those, able to afford regular medical cosmetology54,525
Unique LUMÉ clients/year · of them regulars4,179 · ~1,755

Fig. 5. LUMÉ = 7.7% of the affordable segment in its catchment. Districts (Ukrstat 2016 C): Pechersk 152K, Podil 198K, Obolon 315K, Darnytsia 315K, Shevchenkivskyi 230K — 1.21M registered, ×1.125 to actual (3.32M de-facto per IOM DTM Round 24 vs 2.95M official). Women 55% B, aged 25–55 ~42% M. Able to afford ~13% M — RUN 12: v0.5 had 20%, derived from a "₴39.2K median", but that was Kyiv's average wage for March 2025, not the median. The real median is ~₴29–34K gross → net below the ₴25–31K threshold. IOM: 38% of Kyivans below the per-capita subsistence minimum (₴10,275), 35% cut medical spending. ⚠️ Ukrstat does not publish the income distribution openly — the parameter stays [M].

Fig. 5-b. Cross-check from the supply side. Kyiv has 370 cosmetology clinics (372 centres / 365 organisations doing injectables — Barb.ua S) ≈ 925 rooms ≈ 1.22M visits a year. LUMÉ accounts for 1.39% of city visits on 2.16% of the rooms — it takes a smaller share of flow than of capacity. The "premium multiple" (client share ÷ capacity share) = 3.5× — RUN 12 raised it from 2.55× (via an honestly smaller affordable segment) above the 1.5–2.5 norm. The model catches this itself: the network's financial plan (4,179 clients) sits at the optimistic edge of the honestly-sized Kyiv premium demand. The main conclusion "we hit capacity" is unchanged — a second boundary is now visible. The check appeared in v0.5 (v0.3 gave LUMÉ 21% of the market — implausible against a fragmented market where the top player holds ~5% of Kyiv locations).

Network, 2026 (monthly, ramp + seasonality)Revenue ₴Net ₴Margin
Pechersk18,264,9601,370,8167.5%
Podil18,264,9601,673,0739.2%
Obolon18,223,4071,949,26210.7%
Pozniaky15,683,969701,3614.5%
Centre (opened Q3)1,465,611−1,256,966start-up loss
TOTAL71,902,9074,437,5476.2%

Fig. 6. Network revenue ≈ $1.62M/year, ~4,179 unique clients. A network of 4 mature studios (a model check): 9.5% margin.



Section V

Tech stack and automation

The booking system is Ukrainian (EasyWeek / Appointer), not Altegio. Altegio (ex-YClients) is tied to the Russian VK holding — a Forbes investigation (2023, confirmed in 2026), SBU reports of client-data leaks. For a network where the client record = medical data and the position is "trust," Russian booking software is a direct reputational and security risk. S grade A/B

The automation is built: 5 n8n workflows (107 nodes) + 2 Dify bots + a single data layer — lead intake with attribution and SLA, message routing with a classifier, deadline control, campaign guardrails, synthetic form monitoring. They all pull parameters from this Bible. Automation overview, guide — automation/SETUP.md.


Section VI

What's missing — v0.6 → v1.0

⚠️ Three open risks in the denominator (Run 12 — external review; non-critical but acknowledged):
  • Regular-client annual revenue ₴29,870 — NOT confirmed by an external source (only the business-broker corridor "₴30–100K/year"). The whole conversion of revenue into a client count rests on it. Closed by real network financials (YouControl/Opendatabot).
  • The "premium multiple" 3.5× — above the 1.5–2.5× norm. The model prints this itself: the network's plan (4,179 clients) sits at the optimistic edge of the honestly-sized Kyiv premium demand. A conservative reading trims the client target by ~30%. The main conclusion "we hit capacity" is unchanged.
  • M supply side — provider_cabinets_avg 2.5 and provider_visits_cab_month 110 have no external figures (indirect support: 2.7 specialists/centre; 60–165 visits/workplace). The cross-check (LUMÉ 1.39% of city visits) inherits this grade C.
Grade C — closed by Chrome or a purchase:
  • The Ukrainian cosmetology market size in ₴ → a Pro-Consulting/APCU report (~$200–500)
  • Kyiv income distribution (% above ₴40/50/60K) → Ukrstat "distribution by wage size" (not published openly) — premium_income_share = 0.13 depends on it
  • The exact Meta CPL by ad account — currently M ₴620, the one UA anchor is Rabbit Marketing 200–600 ₴/lead → grade C. Meta Ad Library / a real dataset would take it to A
  • An independent margin anchor — the real financials of 2–3 Kyiv networks → YouControl / Opendatabot (~$30–80)
  • The category CPI for cosmetology — Barb.ua's "+33.6%" is unverifiable (403); the model takes the medical CPI +6% plus an import adjustment ≈ +12%

What is fully incorporated: retention benchmarks set the LTV (a two-segment cohort); equipment leasing — a P&L line; Kyiv demographics — demand built up from the actual districts of presence, cross-checked against the supply side (370 clinics); the regular-client ticket cross-checked against a source; Google Trends — seasonality and the discovery shift; competitors' Instagram data — the competitor map; UA CPL 2025 — grade C (the one UA anchor: Rabbit Marketing 200–600 ₴/lead).