B

Celebrity PPL Rate Lookup

3.50

Derivation Chain

Step 1 Rising buzz for celebrities like Han Hyo-joo and Park Bo-young
→
Step 2 Increasing demand for celebrity marketing
→
Step 3 Resolving information asymmetry in celebrity PPL pricing and efficiency for small brands

Problem

When small beauty and F&B brands with annual revenue of 500 million to 3 billion KRW (approx. $375,000 to $2.25 million) consider celebrity PPL or sponsorships, pricing is not disclosed by management agencies, so they must contact 3-5 agencies individually, taking an average of 2-3 weeks. Without knowing appropriate rates, they often overpay or waste budget on celebrities with low ROI relative to buzz.

Solution

Collects and visualizes real-time buzz indices (search volume, SNS mentions) per celebrity and anonymous rate ranges from past PPL cases via crowdsourcing. When you input your brand budget and target customers, it automatically generates a celebrity recommendation list based on ROI predictions, and even provides management agency contact templates.

Target: Marketing managers (ages 25-40) at small beauty and F&B brands with annual revenue of 500 million to 3 billion KRW (approx. $375,000 to $2.25 million).
Revenue Model: SaaS monthly subscription: 59,000 KRW (approx. $44.25) per account (50 basic searches), Premium: 149,000 KRW (approx. $111.75) (unlimited searches + ROI reports). 20% discount for annual payment.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (51/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Data Pipeline [medium] Frontend [low]
Dashboard