Track-1 · earn-ready Prototype is live — try it on yourself →
Extends the FITME investor deck · Track-1

The WoW B2B-SaaS FITME business model, interactive

An extension of the FITME investor deck — the full unit economics of Track-1, the earn-ready WoW B2B-SaaS that funds Track-2, the accurate-fit engine. Plans, the store’s ROI and our margins — change any input, both models recompute.

Calculate the upside See the plans
+80%conversion from video on a product (Google data)
1 lineof code to install the widget on your site
Readythe tech core is a live prototype
Try-on in motion
AI generation · 4 sec
Silk dress
try-on in motion$299
♥Share to stories
★Saved the look
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Honest about the tech

Track-1: a smart wrapper — not deep-tech, on purpose

A white-label widget on top of the big generative models (Google, Chinese labs) that already have billions behind them. The real deep-tech lives in Track-2 — this track just wraps proven models into a wow experience, and it earns today.

The honest limit: this is not accurate fitting with real body anthropometry and fabric physics. It's a beautiful, inspiring picture — a wow effect and content, not a "how will it fit me" tool.

🔗 This is Track-1 — the earn-ready WoW B2B-SaaS. It isn't the endgame: it earns to fund and de-risk Track-2 — FITME's accurate, physics-based fitting engine (the real moat). See the full vision & two-track plan.
1

The core is ready

The "try-on" works right now — upload your photos and see "yourself" in different contexts and clothes: open the prototype →

2

The picture is enough

An inspiring image is enough to lift engagement and conversion. Google reports +80% conversion with video — and here the product is on the shopper, in motion.

3

Integration is trivial

The store adds one line of code — the widget runs on the product page. The shopper doesn't even have to upload photos: a social profile is enough.

Plans

From a no-fee pilot to Enterprise

How it looks for a store: start free on Pay'n'Go with no commitment, measure the real uplift on your own traffic, then move to a plan for a better price per try-on.

Pay'n'Go
Start, no commitment
$0/mo
  • Storage: 1 GB / 3 days
  • Up to 3 contexts
  • Campaigns / remarketing
  • API / White-label
  • Pay per use — no base fee
  • +Photo: $0.90 each
  • +Each video-try-on: $2.50
Small
300 photos included
$99/mo
  • Storage: 5 GB / 30 days
  • Up to 5 contexts
  • Campaigns / remarketing
  • API / White-label
  • Then pay per use, on top
  • +Extra photo: $0.79 each
  • +Each video-try-on: $1.90
Middle
1,000 photos included
$299/mo
  • Storage: 20 GB / 90 days
  • Up to 10 contexts
  • Campaigns / remarketing
  • API / White-label
  • Then pay per use, on top
  • +Extra photo: $0.69 each
  • +Each video-try-on: $1.50
Recommended
Big
4,000 photos included
$799/mo
  • Storage: 100 GB / 1 year
  • Up to 30 contexts
  • Campaigns / remarketing
  • Partial API
  • Then pay per use, on top
  • +Extra photo: $0.62 each
  • +Each video-try-on: $1.30
Enterprise
Custom plan
from$2,000
  • 500 GB / unlimited
  • Custom contexts
  • Campaigns / remarketing
  • Full API / White-label
  • Pay per use, on top
  • +Photo: from $0.59 each
  • +Each video-try-on: from $1.10
On storage: pay for space and we keep everything. Without it, rarely-used try-ons are pruned first; active ones are kept.
Interactive — much better than Excel

FITME WoW B2B-SaaS — economic model

Inputs · prices · cost — all models at once
Change any input on the left — models recompute instantly.
Average customer picture
%
%
$
%
%
Key inputOnline conversion lift only — the extra web purchases a try-on drives, nothing else. Google reports up to +80% conversion with try-on / video; we stay far more conservative (default +5%). Any indirect lift in offline / retail sales from the inspiring image is not counted here.

Remarketing & storage

Retargeting ads: how many times each shopper sees their own try-on in ads after leaving the site.

—
GB

Sell prices, $ — what the store pays

$
$
$
$
$

Cost, $ — our costs

$
$
$
$
$
$

Company funnel — drives the 3-year path

%/mo
$
Tried on, U—
Total try-ons, G—
Photo, Gp—
Video, Gv—
Benefit for the storecustomer
Net cash gain / mo
—
after paying for the service
ROI (payback)
—
profit ÷ service cost
Breaks even at uplift
—
conversion threshold for zero
Extra orders per month—
Extra store revenue—
Extra store net profit × margin—
Widget service base + photo + video—
+ Remarketing impressions × sell CPM—
+ Storage over plan—
FITME cost to the store—
Net cash gain—

Profit vs cost

extra net profit and service cost, USD/mo

Gain across uplift 0–30%

net gain as a function of conversion lift
—
FITME unit-economicsInternal
Contribution margin / mo
—
revenue − variable COGS
Margin
—
margin share of revenue
Clients to cover $5,620
—
company fixed costs
Revenue per client, R = client pays ←—
Variable COGS—
Revenue per try-on—
COGS per try-on—
Contribution margin—

Split: revenue & COGS

what the client economics is made of

Margin by plan

typical margin on each plan, %
—
Scaled to the company · 3-year paththis store’s ARPU (R) & margin, from the left · × a store ramp · opex scales at the deck’s ratios · deck ↗
Y1SaaS earning
Y2SaaS scaling
Y3SaaS profitable
Active stores avg
—
—
—
Revenue
—
—
—
Gross profit
—
—
—
Marketing (S&M)
—
—
—
Team + R&D
—
—
—
EBITDA
—
—
—
Raised
$3M
$4–8M
—
Est. FITME value*
—
—
—
—LTV / CAC
—payback
—gross margin
—churn

* Est. value = a conservative SaaS floor (revenue ×5). The real exit is Track-2 — a strategic buys the accurate-fit engine + base + data, well above this floor (comp: Walmart bought Zeekit ~$200M).

Formulas under the hood — both models

Everything is computed client-side, reactively. Volumes are shared by both models; the modes differ in what is computed next.

Mode A — Benefit for the store
# Volumes
U  = V × r            tried on
G  = U × f            total try-ons
Gp = G × (1 − v)      photo
Gv = G × v            video

# Client economics (USD)
Cost   = Base
       + max(0, Gp − Pack) × PhotoPrice
       + Gv × VideoPrice
ExtraOrders  = U × uplift
ExtraRevenue = ExtraOrders × AOV
ExtraProfit  = ExtraRevenue × margin
Gain = ExtraProfit − Cost
ROI  = ExtraProfit / Cost
Breakeven = Cost / (AOV × margin)
UpliftThreshold = Breakeven / U
Mode B — Our economics (internal)
# Cost (built in)
C_photo=$0.07  C_video=$0.50
C_storage=$0.02/GB  C_CDN=$0.01/try-on
CPM_buy=$3  CPM_sell=$9
F_fixed=$5,620/mo

# Revenue and COGS
R = Base + max(0,Gp−Pack)×Overage
  + Gv×VideoPrice + ExtraStorage×$1
  + Impressions/1000 × CPM_sell
COGS = Gp×0.07 + Gv×0.50 + Storage×0.02
     + G×0.01 + Impressions/1000 × 3
Contribution = R − COGS
Margin% = Contribution / R
CompanyBreakeven = F / Contribution

A business holds as much profit as it holds math.