B

Audience Review Sentiment Trend Board

2.65

Derivation Chain

Step 1 'King the Land' crosses 7M viewers, racing toward 10M
→
Step 2 Demand for audience reaction analysis
→
Step 3 Film audience review sentiment analysis dashboard

Problem

Film production and distribution marketing teams (3-10 people) manually read reviews on Naver Movies, CGV, and Watcha to gauge audience reactions after release. For blockbusters with 7 million+ viewers, reviews number in the tens of thousands, making exhaustive analysis impossible. Teams fail to quickly detect sentiment shift points (viral word-of-mouth or backlash), delaying marketing response by 1-2 days.

Solution

Collect audience reviews in real-time from Naver Movies, CGV, Watcha, and Twitter, then auto-classify by sentiment (positive/negative/neutral) and topic (acting/story/cinematography/music, etc.). Provides daily sentiment trend graphs and topic heatmaps. Differentiators include alerts for sudden sentiment shifts and comparative analysis against competing films.

Target: Film production & distribution marketing teams, film investment analysts, OTT platform content planners
Revenue Model: Per-title billing at $74.25/title (4-week post-release analysis), ongoing monitoring at $149.25/month per account (up to 5 simultaneous titles). Annual licensing for OTT platforms negotiated separately.
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
2.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (65%)

Tech Complexity
24.0/40
Data Availability
21.2/25
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 (52/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
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

Data Pipeline [medium] AI/ML [medium] Frontend [medium]
Dashboard