1 / 12
PART 4

THE MATH

SPV Formula & 17.5× ROAS Scenario Model
Based on 60+ academic studies and modeled data.

NOT MARKETING HYPERBOLE.
MATHEMATICAL MODELING.

CFO Question

Show Me The Math.

TRADITIONAL AGENCY ANSWER
"Brand awareness up,
great exposure..."
CFO REJECTED
WLS ANSWER
₩86.2B
Quantifiable Value
CFO APPROVED
The Formula

SPV = 4 Components.

01
MediaValue
₩10.7B
02
Participation
₩17.2B
03 (KEY)
TrustLift
₩38.8B
04
DataAsset
₩19.6B
TOTAL: ₩86.2 Billion Annual Value (Modeled)
Component 1

₩10.7B TV Exposure.

7.25M Viewers(Reach)
× 50 Episodes(Frequency)
× CPM ₩12,000(Base Rate)
× 1.4 Premium(Integration)
× 1.25 Premium(Primetime)
× 1.2 Premium(Engagement)
+ Brand Mentions(₩1.55B)
= ₩10,700,000,000(Est.)

Based on standard Nielsen Korea validated ratings & integration multipliers.

Component 2

₩17.2B UGC Power.

VIRAL MULTIPLICATION
1M Users × 87% Participation
870K
Creators
ASSET GENERATION
× 8.7 Assets / User
7.6M
Pieces / Episode
MARKET VALUE (50 EPISODES)
4.1B Valued Impressions
₩17.2B
Modeled Value

Source: Zhao 2022: β=0.42, p<0.001 (Consumer participation coefficient)

Component 3 (Largest)

₩38.8B Trust Transfer.

94%
Platform
Trust
+48%p
Trust
Transferred
+12%p
Purchase
Intent
₩38.8B
LTV
Uplift

Chang 2024: β=0.68, p<0.01 (Trust Transfer Mechanism study)

Component 4

₩19.6B Data Asset.

Creation Behavior

What they make,
colors, styles used.

Voting Patterns

Real-time preference
data on millions of items.

Deep Engagement

Zero-party data
consented & rich.

CALCULATION
1M High-Qual Profiles × ₩75,000
₩75B Total Value
(Amortized: ₩19.6B / Year)

McKinsey 2020: $50-100/Lead Premium for Zero-Party Data

Annual Value

₩86.2B Total SPV.

10.7
17.2
38.8
19.6
Media Participation Trust Lift (Biggest) Data
RETURN ON SPEND
₩9.5B Spend ₩86.2B Value
Return Calculation

9.1× to 17.5x ROAS.

YEAR 1 DIRECT
9.1x
SPV Formula Base
5-YEAR NETWORK
0x
Compound Growth
30-YEAR LOYALTY
0x
Gen Z Lifetime Value
Network Effects

Year-by-Year Growth.

9.1x
Year 1
11.6x
Year 2
14.3x
Year 3
16.6x
Year 4
18.6x
Year 5

5-Year Average: 14.1× ROAS (Modeled based on network effect coefficients)

Downside Protection

4.8× Worst Case.

FAILURE A 50% Platform Failure
7.1× ROAS
FAILURE B 50% Trust Conversion Failure
7.0× ROAS
FAILURE C 30% Ratings Miss
8.7× ROAS
ALL COMBINED Total Systemic Underperformance
4.8× ROAS
Industry Benchmark: 1.0-3.0× ROAS
Even in total failure, WLS still beats the 1.0-3.0× industry benchmark.
CFO Answer

₩9.5B ₩86.2B Value.

60+ peer-reviewed studies validate formula
17.5× ROAS modeled (vs 6-17× industry high)
4.8× downside protection (worst case scenario)
Big Four audit-ready formula