
Business Idea
- Brand : DealSpot
- Problem : Real estate listing platforms are overwhelmed with properties, making it difficult for buyers to quickly identify listings priced significantly below market value—so-called urgent sales or distressed deals.
- Solution : This service scrapes data from real estate platforms daily at a fixed time, analyzes price trends, detects newly listed properties, and identifies those with sudden price drops or spikes. It then delivers timely information on these deals to users.
- Differentiation : Traditional real estate platforms primarily connect buyers and sellers. In contrast, this service specifically connects sellers offering urgent sales with buyers looking to purchase properties below market value, creating a niche marketplace for high-potential deals.
- Customer : Buyers seeking to generate immediate profit by acquiring underpriced properties, and real estate agencies targeting such buyers as clients.
- Business Model : B2B SaaS or subscription-based model
- Service Region : korea
1. Business Overview
1.1 Core Idea Summary
RealDeal is an automated real-time alert system that identifies and delivers timely notifications about undervalued properties and distressed sales in Korea’s real estate market, helping investors and agencies capitalize on high-potential deals before competitors.
This service solves the overwhelming nature of property listings by utilizing advanced data analytics to detect sudden price drops, newly listed distressed properties, and market anomalies, providing a competitive edge to property investors seeking value purchases.
1.2 Mission and Vision
Mission: To democratize access to high-value real estate opportunities by providing timely, data-driven insights about undervalued properties to investors across Korea.
Vision: To become Korea’s premier platform for real estate opportunity intelligence, creating a more efficient market where value-conscious buyers can readily identify and act on promising investments.
We aim to transform how property investment decisions are made by delivering actionable analytics that reduces search time and maximizes ROI for our clients.
1.3 Key Products/Services Description
RealDeal offers the following core products/services:
- Real-time Distressed Property Alerts: Instant notifications when properties with significant price drops or urgent sale markers appear on major Korean real estate platforms.
- Market Anomaly Detection: Advanced algorithms that identify properties priced below market value based on location, comparable properties, and historical pricing data.
- Customized Alert Profiles: Users can create detailed profiles of their investment criteria (location, price range, property type, discount percentage) to receive only relevant opportunities.
- Deal Analytics Dashboard: Visual representation of potential ROI, market comparisons, and investment risk scores for each identified opportunity.
These services deliver exceptional value by reducing the countless hours investors typically spend manually searching listings, while providing the speed advantage necessary to act on time-sensitive opportunities in Korea’s competitive real estate market.

2. Market Analysis
2.1 Problem Definition
Currently, real estate investors in Korea face these critical challenges:
- Information Overload: Korea has over 1 million active property listings across platforms like Naver Real Estate, Kakao Real Estate, and others, making manual identification of undervalued properties nearly impossible.
- Timing Disadvantage: Distressed sales are typically claimed within 24-72 hours of listing, and manual search methods are too slow to capture these opportunities before conventional investors.
- Data Analysis Limitations: Most investors lack the technical capabilities to analyze large volumes of property data to identify pattern-based opportunities like seasonal pricing anomalies or neighborhood-specific discounts.
- Market Opacity: Korean real estate platforms lack filtering tools for specifically identifying urgent/distressed sales, creating an information asymmetry that disadvantages most buyers.
These problems result in missed investment opportunities and suboptimal returns, which RealDeal solves by automating the identification process and delivering actionable insights in real-time.
2.2 TAM/SAM/SOM Analysis
Total Addressable Market (TAM): Korea’s real estate investment market involves approximately 310,000 professional and semi-professional property investors, with an annual transaction volume of ₩117 trillion ($88.5 billion) in residential real estate alone (Korea Real Estate Board, 2022).
Serviceable Available Market (SAM): Our initial focus targets approximately 85,000 active real estate investors who make at least 3 transactions annually and 12,000 real estate agencies in major metropolitan areas including Seoul, Busan, Incheon, Daegu, and Daejeon.
Serviceable Obtainable Market (SOM): First year: 3,000 paying subscribers (3.5% of SAM); Year 3: 12,500 subscribers (15% of SAM); Year 5: 21,000 subscribers (25% of SAM) with estimated annual revenue growing from ₩3.6 billion to ₩25.2 billion.
These market size estimates are based on Korea Land & Housing Corporation data and industry research from KB Kookmin Bank’s real estate market reports, with a market entry strategy focusing initially on high-activity urban centers before expanding to secondary markets.
2.3 Market Trends
Key market trends that will influence RealDeal’s growth include:
- Digital Transformation in Real Estate: Korea’s real estate sector is experiencing rapid digitalization with 87% of property searches now beginning online (Korean Real Estate Association, 2023), creating a receptive environment for proptech solutions.
- Rising Interest in Distressed Properties: Economic uncertainty and rising interest rates have increased foreclosures by 18% year-over-year, creating more distressed sale opportunities and growing investor interest in such properties.
- Data-Driven Investment: Korean real estate investors are increasingly adopting data analytics for decision-making, with proptech investments growing by 34% annually since 2020.
- Market Volatility Concerns: Recent government measures to cool the housing market have created price uncertainties, making investors more careful and receptive to tools that identify genuine value opportunities.
- Mobile-First User Behavior: Over 92% of Korean online users primarily access services via smartphones, necessitating mobile-optimized property alert services.
These trends present significant opportunities for RealDeal to establish itself as an essential tool for the modern Korean real estate investor seeking competitive advantages in a complex market.
2.4 Regulatory and Legal Considerations
RealDeal’s operations will be influenced by these key regulatory and legal considerations:
- Personal Information Protection Act (PIPA): As we collect and process user preferences and property data, we must comply with Korea’s strict data privacy regulations, requiring clear disclosure of data usage and user consent mechanisms.
- Real Estate Brokerage Act: While providing property information is permitted, we must avoid activities that could be construed as unlicensed brokerage, such as directly facilitating transactions between parties or receiving success fees based on completed deals.
- Electronic Commerce Consumer Protection Act: Our subscription model must comply with Korean e-commerce regulations regarding transparent pricing, refund policies, and service descriptions.
- Fair Trade Commission Regulations: Our descriptions of property investment opportunities must avoid misleading claims about potential returns and maintain compliance with Korean advertising standards for financial services.
To address this regulatory environment, we will implement a robust compliance framework with regular legal audits, clear user agreements, proper data handling protocols, and consultation with Korean real estate legal specialists to ensure ongoing compliance as we scale.

3. Customer Analysis
3.1 Persona Definition
RealDeal’s primary customer personas are:
Persona 1: Professional Park
- Demographics: Male, 35-50 years old, professional real estate investor, upper-middle income (₩90-150M annually), college educated with 5+ years investing experience
- Characteristics: Analytical, technology-savvy, value-focused, time-conscious, competitive
- Pain Points: Spends 20+ hours weekly searching listings, frequently misses opportunities due to timing, struggles to quickly analyze property value versus neighborhood benchmarks, faces high competition for good deals
- Goals: Increase annual transaction volume by 30%, achieve 15%+ ROI on investments, build a diversified property portfolio
- Purchase Decision Factors: Proven time savings, demonstrable competitive advantage, high-quality data accuracy, customization options
Persona 2: Agency Kim
- Demographics: Female, 40-55 years old, real estate agency owner, upper income (₩150-300M annually), employs 3-8 agents
- Characteristics: Client-focused, relationship-oriented, efficiency-driven, reputation-conscious
- Pain Points: Difficulty finding unique properties to present to VIP clients, challenged to demonstrate added value beyond standard listings, spends excessive time monitoring multiple platforms
- Goals: Increase client satisfaction and retention, boost commission revenue through higher-value transactions, differentiate agency from competitors
- Purchase Decision Factors: Client impression of exclusive access, integration with existing workflows, customizable white-label options
Persona 3: Beginner Lee
- Demographics: Male/Female, 28-40 years old, beginning real estate investor with 1-2 properties, upper-middle income (₩70-100M), tech-savvy professional
- Characteristics: Cautious, research-oriented, value-conscious, eager to learn, limited time availability
- Pain Points: Overwhelmed by market complexity, lacks experience to identify good deals quickly, fears making costly mistakes, struggles to compete with established investors
- Goals: Successfully complete 1-2 profitable transactions per year, build knowledge and confidence in real estate investing, minimize risk
- Purchase Decision Factors: Educational component, ease of use, affordability, risk assessment tools
3.2 Customer Journey Map
The journey of a typical RealDeal customer can be analyzed through these stages:
Awareness Stage:
- Customer Behavior: Experiences frustration with missing opportunities, searches for solutions to improve property deal identification
- Touchpoints: Google searches, real estate investment forums, social media ads, referrals from other investors
- Emotional State: Frustrated, motivated to gain advantage, curious but skeptical
- Opportunity: Provide educational content on deal identification, testimonials highlighting success stories, free trial
Consideration Stage:
- Customer Behavior: Compares RealDeal with manual methods and potential alternatives, reads reviews, evaluates ROI
- Touchpoints: Product comparison page, demo videos, customer case studies, feature explanations
- Emotional State: Analytical, cautiously optimistic, concerned about value for money
- Opportunity: Offer case studies specific to Korean market, transparent pricing, clear feature differentiation
Decision Stage:
- Customer Behavior: Makes final evaluation, considers subscription level, seeks reassurance about commitment
- Touchpoints: Pricing page, subscription options, support chat, payment gateway
- Emotional State: Decisive but cautious, concerned about making the right choice
- Opportunity: Offer risk-free trial period, flexible cancellation policy, responsive pre-sales support
Usage Stage:
- Customer Behavior: Sets up alert preferences, evaluates first notifications, tests responsiveness
- Touchpoints: Platform dashboard, email/app notifications, property detail pages, help documentation
- Emotional State: Initially expectant, then either satisfied or disappointed based on early results
- Opportunity: Provide onboarding assistance, early success examples, quick optimization support
Loyalty Building:
- Customer Behavior: Evaluates ongoing value, considers upgrades, may recommend to others
- Touchpoints: Success metrics dashboard, renewal notices, feature update announcements
- Emotional State: Pragmatic, value-focused, potentially advocating if satisfied
- Opportunity: Share success statistics, offer loyalty pricing, provide referral incentives
3.3 Initial Customer Interviews Results
Key insights gathered from our initial customer interviews include:
- Interview Scope: 42 potential customers including 28 individual investors and 14 real estate agency representatives across Seoul, Busan, and Incheon
- Key Finding 1: 87% of respondents reported spending 15+ hours weekly manually searching for property deals, with only 9% feeling their current process was efficient
- Key Finding 2: 73% of investors had experienced missing out on at least 3 high-potential deals in the past year because they identified them too late
- Key Finding 3: Agency representatives expressed strong interest (92% positive response) in white-labeled solutions they could offer as an exclusive service to their premium clients
- Key Finding 4: Price sensitivity varied significantly between segments, with agencies willing to pay 2-3x more than individual investors for the same core service
- Key Finding 5: The most requested feature was customization of alert criteria, with neighborhood-specific filters and price drop percentage thresholds being particularly important
Based on these insights, we have prioritized customizable alert settings, developing a tiered pricing model, and creating both consumer and agency-focused interfaces in our product roadmap, while ensuring our scraping algorithms focus on detecting the early indicators of distressed sales that interviewees identified as most valuable.

4. Competitive Analysis
4.1 Direct Competitor Analysis
Analysis of RealDeal’s direct competitors in the Korean market:
Competitor 1: Zigbang Pro (https://www.zigbang.com)
- Strengths: Large user base (10M+), established brand recognition, comprehensive property listings, strong mobile presence
- Weaknesses: Lacks specific distressed property identification, overwhelming volume of listings, limited analytics, no real-time alert system
- Pricing: ₩30,000-50,000 monthly subscription for Pro features
- Differentiation: Zigbang focuses on comprehensive listings rather than specific opportunity identification; lacks the specialized algorithms for identifying undervalued properties
Competitor 2: Dabang Plus (https://www.dabangapp.com)
- Strengths: Strong UI/UX, popular with younger users, good mobile experience, easy filtering
- Weaknesses: Limited historical data analysis, no price anomaly detection, minimal features for professional investors
- Pricing: ₩19,900-39,900 monthly for premium features
- Differentiation: Primarily serves the rental market; lacks tools for investment opportunity identification and analytics for serious property investors
Competitor 3: Peterpan’s Real Estate (https://www.peterpan.co.kr)
- Strengths: Strong focus on price comparison, good neighborhood information, established user base
- Weaknesses: Slower update cycle, no urgent sale notifications, limited customization options
- Pricing: ₩10,000-30,000 monthly subscription options
- Differentiation: Focuses on standard property search and price comparison; lacks the time-sensitive opportunity alerts and distressed property focus of RealDeal
4.2 Indirect Competitor Analysis
RealDeal faces the following alternative solutions as indirect competition:
Alternative Solution Type 1: Traditional Real Estate Agencies
- Representative Companies: Woori Real Estate, Hana Real Estate, local agencies
- Value Proposition: Personal service, local market expertise, relationship-based deal sourcing
- Limitations: Labor-intensive, higher costs (3-5% commission), limited to working hours, subjective analysis
- Price Range: 0.3-0.9% of property value in commission fees (₩1.5-9M per transaction)
Alternative Solution Type 2: General Property Listing Platforms
- Representative Companies: Naver Real Estate, Kakao Real Estate
- Value Proposition: Comprehensive listings, free access, integration with popular platforms
- Limitations: No specialized tools for investors, overwhelming information, no notification system for opportunities
- Price Range: Free to users (advertiser-supported models)
Alternative Solution Type 3: Manual Monitoring Services
- Representative Companies: Small consultancies, individual market analysts
- Value Proposition: Human expertise, personalized recommendations, relationship-based insights
- Limitations: Expensive, limited scalability, inconsistent quality, slower response times
- Price Range: ₩300,000-1,000,000 monthly retainer fees
4.3 SWOT Analysis and Strategy Development
Strengths(Strengths)
- Specialized focus on distressed and undervalued properties creates clear value proposition
- Automated data collection and analysis provides scalability advantages
- Real-time notification system offers timing advantages over traditional methods
- Customizable alert criteria allows for personalization to diverse investor needs
Weaknesses(Weaknesses)
- Reliance on third-party platforms for data scraping creates dependency risks
- New entrant status means limited brand recognition in Korean market
- Initially smaller property database compared to established platforms
- Requires critical mass of users to develop network effects and references
Opportunities(Opportunities)
- Growing digitalization of Korean real estate market increases receptiveness
- Rising interest rates creating more distressed property situations
- Increased investor focus on data-driven decision making
- Untapped potential in agency partnerships and white-label solutions
Threats(Threats)
- Potential API restrictions from existing platforms limiting data access
- Larger platforms could develop similar functionality
- Korean real estate market regulations frequently change
- Economic downturn could reduce overall transaction volume
SO Strategy (Strengths+Opportunities)
- Develop advanced algorithm models specifically tuned to detect distressed properties in rising interest rate environments
- Create educational content demonstrating ROI of data-driven investing to capitalize on market shift
- Optimize real-time alert system for mobile-first Korean users
WO Strategy (Weaknesses+Opportunities)
- Pursue strategic partnerships with Korean real estate data providers to reduce dependency risk
- Implement agency white-label program to accelerate market penetration and brand building
- Develop referral programs to leverage network effects in the tight-knit Korean investor community
ST Strategy (Strengths+Threats)
- Diversify data sources through multiple platform integrations to reduce single-source dependency
- Develop proprietary data collection methods beyond scraping to protect against API restrictions
- Create regulatory compliance monitoring system to stay ahead of market regulation changes
WT Strategy (Weaknesses+Threats)
- Build relationships with key industry associations to enhance legitimacy and monitoring capability
- Develop clear differentiation strategy beyond core functionality that larger platforms cannot easily replicate
- Implement flexible pricing models to maintain attractiveness during potential market downturns
4.4 Competitive Positioning Map
We analyze the market positioning of major competitors and RealDeal based on two critical axes:
X-axis: Specialization (General Property Listings vs. Investment Opportunity Focus)
Y-axis: Technology Sophistication (Basic Search Features vs. Advanced Analytics)
On this positioning map:
- RealDeal: Positioned in the upper-right quadrant with high specialization in investment opportunities and high technology sophistication, creating a distinct blue ocean position
- Zigbang: Middle-right position with moderate investment focus but more general property listing orientation, with moderate technology sophistication
- Dabang: Lower-middle position with general property focus and basic technology features targeting casual users rather than serious investors
- Peterpan: Middle position with some investment features but still primarily a general listing service with moderate technology
- Traditional Agencies: Lower-left position with highly personalized but low-tech approach and moderate investment focus
- Naver/Kakao Real Estate: Lower-right position with very broad general property focus and moderate technology features
This positioning reveals RealDeal’s unique market position as the only solution combining high specialization in investment opportunities with advanced technology. This position addresses an unserved segment of serious investors seeking technological advantages in identifying distressed properties, providing significant differentiation from both traditional platforms and agencies.

5. Product/Service Details
5.1 Core Functions and Features
RealDeal Finder’s core functions and features are as follows:
Core Function 1: Automated Data Collection System
Our proprietary data collection system automatically scrapes and aggregates real estate listings from major Korean platforms at fixed times each day. This ensures users have access to the most up-to-date information without manual searching.
- Feature 1.1: Multi-platform integration with major Korean real estate sites (Naver Real Estate, Dabang, Zigbang, etc.)
- Feature 1.2: Scheduled daily scraping with timestamps to track listing duration
- Feature 1.3: Data normalization for consistent property comparison across platforms
Core Function 2: Price Anomaly Detection
Our proprietary algorithm identifies properties priced significantly below market value or those with sudden price drops, indicating potential urgent sales. The system flags these properties and prioritizes them for immediate notification to users.
- Feature 2.1: Machine learning-based market value estimation by neighborhood and property type
- Feature 2.2: Price drop tracking (both absolute amounts and percentage changes)
- Feature 2.3: Time-on-market analysis to identify motivated sellers
Core Function 3: Customized Alert System
Users can set up detailed preferences for the types of properties and deals they’re interested in. Our system delivers timely notifications when matching opportunities arise, ensuring users can act quickly on time-sensitive deals.
- Feature 3.1: Location-based filtering (down to specific neighborhoods in Korea)
- Feature 3.2: Property type, size, and price range customization
- Feature 3.3: Multi-channel alerts (email, SMS, app push notifications)
Core Function 4: Deal Analysis Tools
Beyond merely identifying potential deals, we provide users with analytical tools to evaluate the quality and potential of each opportunity, helping them make informed decisions quickly.
- Feature 4.1: Comparative market analysis with similar properties in the area
- Feature 4.2: Historical price trends for the neighborhood and property type
- Feature 4.3: ROI calculator for investment potential estimation
Core Function 5: B2B Agency Dashboard
Real estate agencies receive a specialized dashboard to manage multiple property searches, track client interests, and quickly identify promising deals to present to their clients.
- Feature 5.1: Client management system with preference tracking
- Feature 5.2: Bulk property monitoring and comparative analysis
- Feature 5.3: White-label reports for client presentations
5.2 Technology Stack/Implementation Method
RealDeal Finder’s technical implementation is designed for reliability, scalability, and rapid market response in the Korean real estate market.
1. System Architecture
The system consists of three major components: the data collection engine, the analysis engine, and the user interface layer. Each component is designed to operate independently, ensuring system stability and enabling focused development and scaling.
The architecture follows a microservices approach, allowing us to rapidly deploy updates to individual components without affecting the entire system.
2. Frontend Development
Our user interface is designed for clarity, speed, and ease of use, especially for quick decision-making on time-sensitive deals.
- React Native: Enables us to deliver a consistent experience across iOS and Android with a single codebase, crucial for rapid market penetration in Korea
- Redux: Manages application state for responsive user experience and real-time updates
- Naver Maps API: Provides familiar, localized mapping functionality optimized for Korean addresses and neighborhoods
3. Backend Development
Our backend systems are built for reliability, data processing speed, and secure handling of sensitive real estate information.
- Node.js: Powers our API services with efficient, non-blocking operations for handling multiple concurrent requests
- Python: Drives our data collection and analysis engines with robust libraries for web scraping and machine learning
- AWS Lambda: Handles scheduled scraping tasks with automatic scaling during peak collection periods
- RabbitMQ: Manages the message queue for reliable delivery of time-sensitive alerts to users
4. Database and Data Processing
Our data infrastructure is designed to handle large volumes of real estate listings while maintaining query performance for rapid deal identification.
- MongoDB: Stores flexible property data schemas that can adapt to different listing formats from various Korean platforms
- Redis: Caches frequently accessed data for faster response times on popular searches
- Amazon S3: Archives historical listing data for long-term trend analysis and model training
5. Security and Compliance
We implement comprehensive security measures to protect user data and comply with Korean privacy regulations.
- End-to-end encryption: Secures all user communications and sensitive property data
- KISA compliance framework: Ensures adherence to Korean Internet & Security Agency requirements
- Personal Information Protection Act (PIPA) controls: Implementation of necessary safeguards for compliance with Korean privacy laws
- Regular security audits: Conducted by third-party Korean cybersecurity firms familiar with local regulations
6. Scalability and Performance
Our system is designed to scale with user growth and increasing data volume from the Korean real estate market.
- Containerization with Docker: Ensures consistent deployment across development and production environments
- Kubernetes orchestration: Automatically scales resources based on system load
- CDN implementation: Optimizes content delivery speeds across major Korean ISPs
- Regional server distribution: Strategically located servers in Seoul and Busan data centers for minimal latency

6. Business Model
6.1 Revenue Model
RealDeal Finder builds a sustainable business through the following revenue model:
Subscription-Based Model with Tiered Pricing
We’ve adopted a subscription-based revenue model that provides continuous, predictable revenue while delivering ongoing value to users through regular updates and new deal discoveries.
Subscription Plans:
- Basic Plan: ₩29,000/month
- Daily updates for one target neighborhood
- Basic price drop alerts (15% or greater)
- Email notifications only
- Targeted at individual buyers and small investors starting their real estate journey
- Premium Plan: ₩79,000/month
- Real-time updates for up to five target neighborhoods
- Advanced price anomaly detection (customizable thresholds)
- Multi-channel notifications (email, SMS, app)
- Access to basic property analysis tools
- Targeted at active individual investors and small agencies
- Professional Plan: ₩199,000/month
- Unlimited neighborhood monitoring
- Full suite of deal analysis tools
- Priority alerts for highest-potential deals
- Historical trend analysis and investment forecasting
- Targeted at professional investors and medium-sized agencies
- Enterprise Plan: Custom pricing
- All Professional features plus white-label client portal
- API access for integration with agency systems
- Dedicated account manager and priority support
- Custom report generation for client presentations
- Targeted at large real estate agencies with multiple agents
Additional Revenue Streams:
- Data licensing: Aggregated, anonymized market trend data sold to financial institutions and property developers
- Premium marketplace listings: Commission from connecting urgent sellers directly with our buyer network (future expansion)
- Specialized reports: One-time purchases of in-depth neighborhood analysis and investment opportunity reports
This revenue model provides competitive advantage through value-based pricing aligned with the potential ROI our customers can achieve from discovering below-market deals. The recurring subscription model ensures sustainable growth as we continue to expand our coverage across Korean real estate markets.
6.2 Sales Strategy
RealDeal Finder will approach the market through the following sales channels and strategies:
1. Self-Service Digital Channel
- Channel description: Frictionless online signup process with free trial period to demonstrate immediate value
- Target customers: Individual investors and small agencies who prefer immediate access without sales interactions
- Conversion strategy: Free 7-day trial with limited access to deals in one neighborhood, with clear conversion metrics showing potential missed opportunities
- Expected share: 60-70% of total customer acquisition, primarily for Basic and Premium plans
2. Strategic Partnerships
- Channel description: Alliances with complementary services in the Korean real estate ecosystem
- Key partners: Property management companies, mortgage brokers, real estate investment educators, and private banking services
- Revenue sharing: 15-20% referral commission structure with tracking links and dedicated promo codes
- Expected share: 15-20% of customer acquisition, primarily for Premium and Professional plans
3. Direct Enterprise Sales
- Channel description: Dedicated sales team targeting larger Korean real estate agencies with personalized demonstrations
- Sales cycle: Typically 1-3 months, including initial contact, demonstration, pilot program, and full implementation
- Core strategy: Emphasizing ROI through case studies showing how agencies increased client satisfaction and transaction volume
- Expected share: 10-15% of customer acquisition but representing 30-40% of revenue through Enterprise plans
Initially, we’ll focus on the self-service channel to rapidly build our user base in key Korean metropolitan areas like Seoul, Busan, and Incheon. As we establish market presence, we’ll gradually shift resources toward enterprise sales to capture higher-value clients and establish RealDeal Finder as the industry standard for deal discovery in the Korean real estate market.
6.3 Cost Structure
RealDeal Finder’s primary cost structure includes:
Fixed Costs:
- Personnel: Monthly ₩45,000,000 (Core team of 8: 3 developers, 2 data scientists, 1 product manager, 1 marketing specialist, 1 CEO)
- Technical infrastructure: Monthly ₩5,500,000 (Servers, database services, CDN, security systems)
- Office space: Monthly ₩3,800,000 (Small office in Seoul startup district with meeting facilities)
- Software subscriptions: Monthly ₩2,300,000 (Development tools, analytics platforms, communication systems)
- Legal and accounting: Monthly ₩1,200,000 (Retainer for specialized real estate tech legal expertise)
- Total monthly fixed costs: Approximately ₩57,800,000
Variable Costs:
- Data acquisition costs: Scaled with data volume and sources (estimated: ₩50-100 per property monitored)
- Customer support: Increases with user base (plan to maintain 1 support staff per 500 active users)
- SMS notification costs: Direct pass-through of Korean telecom charges per message sent
- Marketing expenses: 20-30% of revenue during growth phase, decreasing to 10-15% at maturity
Cost Optimization Strategies:
- Automated data collection: Reducing manual research needs through advanced scraping technology and machine learning
- Cloud resource optimization: Implementing auto-scaling to match computational needs with actual demand patterns
- Freemium conversion funnel: Leveraging free users to identify high-value deals that convert to paid subscriptions, reducing customer acquisition costs
Over time, we expect to achieve significant economies of scale as our data processing algorithms improve and our coverage expands across Korean markets. We project unit economics improvement of approximately 25-30% by year three as fixed costs are distributed across a larger customer base and technology investments mature.
6.4 Profitability Metrics
The key financial metrics for measuring RealDeal Finder’s performance are:
Key Financial Metrics:
- Unit Economics: Target contribution margin of 70%+ per subscriber after direct costs
- Customer Lifetime Value (LTV): Calculated as average subscription revenue × average subscription duration × gross margin; targeting ₩1,400,000+ for Premium users
- Customer Acquisition Cost (CAC): Targeting below ₩200,000 per paid subscriber across all channels
- LTV/CAC Ratio: Minimum target of 3:1, with strategic aim to reach 5:1 within 24 months
- Monthly Recurring Revenue (MRR): Growth target of 15-20% monthly during first year, stabilizing to 8-10% quarterly thereafter
- Total Contract Value (TCV): Calculated across all subscription commitments; expected to exceed ₩1 billion by end of year one
- Break-Even Point: Projected at month 18 with approximately 2,000 active paid subscribers
Key Business Metrics:
- Conversion Rate: Free trial to paid conversion target of 30%; website visitor to signup target of 5%
- Churn Rate: Monthly subscriber churn target under 5%; targeting 3% after product maturity
- Upselling Rate: Target 20% of subscribers upgrading their plan annually
- Average Usage: Target 3+ logins per week per user, with alert open rates above 75%
- Expansion Revenue: Goal of 15% annual revenue growth from existing customers through plan upgrades
These metrics will be tracked through our custom analytics dashboard with weekly reviews by the management team. Monthly deep-dive analysis sessions will identify optimization opportunities across acquisition channels, product features, and customer segments. Quarterly board reviews will align strategic initiatives with financial performance to ensure sustainable growth in the Korean real estate technology market.

7. Marketing and Go-to-Market Strategy
7.1 Initial Customer Acquisition Strategy
RealDeal Finder’s strategy for acquiring initial customers includes:
Content Marketing:
- Real Estate Investment Guides: Comprehensive, localized guides for specific Korean neighborhoods highlighting investment potential and market analysis, distributed via Naver Blog and Kakao channels
- Case Study Series: Documented success stories of actual below-market purchases in major Korean cities, with ROI analysis and purchase strategy explanations
- Market Trend Reports: Quarterly analyses of price trends in key Korean real estate markets, establishing our brand as a trusted market intelligence source
- Video Tutorials: Educational content on spotting undervalued properties in the Korean market, shared across YouTube and Naver TV
Digital Marketing:
- SEO: Targeting Korean-language keywords like “급매물 찾기” (finding urgent sales), “시세보다 싼 아파트” (apartments below market value), focusing on high-intent search terms
- SEM/PPC: Naver and Google AdWords campaigns with ₩5,000,000 monthly budget, targeting property investors and real estate professionals with geo-targeting for major Korean cities
- Social Media: Focused presence on KakaoTalk, Instagram and Naver Band with daily updates on new market opportunities and success stories
- Email Marketing: Lead generation through free market reports with automated email sequences highlighting missed opportunities and success stories
Community and Relationship Building:
- Property Investment Meetups: Monthly in-person events in Seoul, Busan, and other major cities, with presentations on finding undervalued properties
- Real Estate Agency Workshops: Free training sessions for agencies on how to leverage technology to find better deals for clients
- Online Community Engagement: Active participation in popular Korean real estate forums and Naver Cafes focused on property investment
Partnerships and Alliances:
- Mortgage Broker Networks: Partnerships with leading Korean mortgage providers to offer special rates to our subscribers
- Real Estate Education Programs: Cross-promotional deals with established Korean real estate education companies
- Property Management Services: Referral arrangements with property management companies for investors buying multiple properties
- Investment Advisors: Commission-sharing with financial advisors specializing in real estate investment portfolios
These strategies will be implemented in three phases over the first 12 months, starting with content marketing and community building (months 1-3), followed by digital marketing intensification (months 4-8), and strategic partnerships (months 9-12) to create sustainable growth channels.
7.2 Low-Budget Marketing Tactics
To efficiently leverage our limited initial marketing budget in the Korean market, we will implement the following strategies:
Growth Hacking Approach:
- Free Deal Alert Fridays: Weekly release of one premium deal to free users, creating FOMO and driving conversion by demonstrating the value of paid subscription access
- Limited Geographic Access: Rotating access to different premium neighborhoods each week for free users, showcasing the potential in various Korean markets
- Referral Program: Two-sided incentive offering one month free subscription for both referrer and referee, with additional bonuses for high-volume referrers
- Success Fee Competitions: Monthly challenges where users share their best deals found through our platform, with winners receiving premium subscriptions
- Integration with KakaoTalk: Leveraging Korea’s dominant messaging platform for viral sharing of interesting property listings with one-click signup links
Community-Centered Strategy:
- Regional Ambassador Program: Recruiting influential local real estate enthusiasts in key Korean cities to promote the platform in exchange for free access and commission
- Virtual Investment Clubs: Creating and moderating digital communities for property investors in specific Korean regions or with particular investment strategies
- Expert Hour Sessions: Weekly live Q&A sessions with Korean real estate experts, accessible for free but with premium features for subscribers
- User-Generated Neighborhood Guides: Encouraging users to create and share detailed analysis of their local markets, building a valuable resource that drives organic traffic
Strategic Free Offerings:
- Market Report Generator: Free tool providing basic market analysis for any Korean neighborhood, with deeper insights available to subscribers
- Property Evaluation Calculator: Simple tool helping potential buyers evaluate deals with limited functionality for free users
- Weekly Top 5 Deals Email: Free newsletter featuring selected deals that are already public but organized by potential value, demonstrating our curation capabilities
These low-budget tactics will operate within a monthly marketing budget of ₩7,000,000 during the first six months, with projected ROI tracking focusing on customer acquisition cost and conversion rates. Success will be validated through A/B testing of different approaches and rapid iteration based on Korean market response patterns.
7.3 Performance Measurement KPIs
RealDeal Finder will track the following KPIs to measure marketing and customer acquisition performance in the Korean market:
Marketing Efficiency Metrics:
- Channel Acquisition Cost: Tracking cost per lead and cost per customer across each marketing channel; target under ₩150,000 per converted customer
- Conversion Funnel Metrics: Measuring drop-off rates at each stage (visitor → signup → free trial → paid); target 5% visitor-to-signup and 30% trial-to-paid conversion
- Content Engagement Rate: Tracking read time, shares, and conversion attribution from content; target 3+ minutes average read time and 5% conversion rate
- Ad Performance: Monitoring CTR, conversion rate, and ROAS across Korean ad platforms; target 2.5%+ CTR on Naver and Google search ads
- Organic Traffic Growth: Measuring month-over-month growth in organic search visitors; target 15% monthly growth
Product Engagement Metrics:
- Daily/Weekly Active Users: Tracking user retention patterns; target 60% weekly active users
- Feature Adoption Rate: Monitoring usage of key platform features; target 80% of users engaging with alert customization
- Alert Open Rate: Measuring engagement with deal notifications; target 75%+ open rate and 30%+ click-through
- Session Duration: Tracking time spent on platform per session; target 8+ minutes average
- Deal Investigation Rate: Percentage of presented deals that users click to explore further; target 40%+
Financial Metrics:
- Customer Acquisition Cost (CAC): Total marketing spend divided by new customers; target under ₩200,000
- Customer Lifetime Value (LTV): Projected value based on subscription duration and plan level; target ₩1,400,000+
- Monthly Recurring Revenue (MRR): Total predictable monthly revenue from subscriptions; target ₩50,000,000 by month 12
- Churn Rate: Percentage of customers canceling monthly; target below 5%
- Payback Period: Time to recover CAC from customer revenue; target under 6 months
These KPIs will be measured through a combination of Google Analytics, custom dashboards, and our CRM system with weekly reports for tactical adjustments and monthly deep dives for strategic planning. We will use Amplitude for user behavior tracking and integrate with our financial systems to maintain a holistic view of marketing performance across the Korean market.
7.4 Customer Retention Strategy
Our strategies to enhance customer satisfaction and build long-term relationships in the Korean market include:
Product-Centered Retention Strategy:
- Continuous Value Demonstration: Weekly personalized reports showing the number and value of exclusive deals delivered, emphasizing the ongoing ROI of subscription
- Feature Enhancement Roadmap: Regular release of new features based on user feedback, with beta access for longtime subscribers
- Personalized Deal Quality Improvement: Machine learning-driven refinement of deal recommendations based on user behavior and explicit feedback
- Exclusive Market Insights: Providing premium subscribers with proprietary data analysis on emerging trends in Korean real estate markets
Education and Value Provision:
- Expert Webinar Series: Monthly online sessions with Korean real estate experts, legal advisors, and successful investors
- Investment Strategy Guides: Customized content based on user profile and goals, focusing on Korean-specific investment approaches
- Deal Analysis Masterclasses: Interactive sessions teaching subscribers how to evaluate properties like professionals
- Regulatory Update Briefings: Timely information on changes to Korean real estate regulations and tax implications
Community and Relationship Building:
- Subscriber Forums: Private discussion groups segmented by investment interest and region within Korea
- Success Story Spotlights: Regular featuring of subscribers who successfully purchased undervalued properties
- Exclusive Networking Events: Quarterly in-person gatherings in major Korean cities for premium and professional subscribers
- Direct Feedback Channels: Quarterly user interviews and feedback sessions with the product team
Incentives and Rewards:
- Loyalty Tier Program: Increasing benefits based on subscription duration, including priority alerts and exclusive reports
- Renewal Discounts: Offering pricing incentives for annual commitments with guaranteed rate locks
- Referral Bonuses: Escalating rewards for subscribers who refer multiple paying customers
- Milestone Celebrations: Special benefits when users reach achievements like 1-year subscription or first property purchased
Through these retention strategies, we aim to reduce monthly churn to below 3% and increase average customer lifetime value by 40% within 18 months. Our goal is to create such significant ongoing value that subscribers view RealDeal Finder as an essential investment tool rather than an optional service in the competitive Korean real estate market.

8. Operational Plan
8.1 Required Personnel and Roles
The following personnel structure is essential for RealDeal’s successful operation and growth:
Initial Founding Team (Pre-launch):
- Technical Lead/CTO: Oversees data scraping system development, algorithm design for price analysis, and platform architecture; requires strong background in data engineering and real estate analytics; hire immediately
- Product Manager: Define product specifications, user experience, and feature prioritization; requires experience in SaaS products and real estate technology; hire within first month
- Backend Developer: Develop data collection systems, APIs, and database management; requires experience with web scraping and data processing; hire within first two months
- Frontend Developer: Design and implement user interface; requires experience with responsive design and data visualization; hire within first two months
Personnel Needed Within First Year Post-Launch:
- Customer Success Manager: Handle client onboarding, training, and relationship management; requires strong communication skills and real estate industry knowledge; hire at launch
- Data Analyst: Refine price analysis algorithms, identify market trends, and improve property valuation models; requires experience with statistical analysis and real estate market data; hire 3 months post-launch
- Sales Representative: Acquire real estate agency clients and manage B2B relationships; requires experience in SaaS sales and real estate connections; hire 3 months post-launch
- Content Specialist: Create educational content about property investment and market opportunities; requires knowledge of Korean real estate market and content creation skills; hire 6 months post-launch
- Marketing Specialist: Execute digital marketing campaigns and lead generation activities; requires experience in SaaS marketing and real estate sector; hire 6 months post-launch
- Additional Developer: Support growing technical needs and new feature development; requires full-stack capabilities; hire 9 months post-launch
Additional Personnel for Year Two:
- Business Development Manager: Establish strategic partnerships with real estate platforms and agencies; requires strong network in Korean real estate industry; hire when reaching 500+ paying customers
- UX Researcher: Gather user insights and guide product improvements; requires experience in user research methodologies; hire when reaching consistent revenue growth
- Data Scientist: Develop advanced predictive models for property valuation and market trends; requires expertise in machine learning and real estate analytics; hire when expanding feature set
- Customer Support Specialists: Provide tier-1 support to growing user base; requires problem-solving skills and patience; hire as customer base grows
- Regional Market Specialist: Focus on regional market analysis for expansion beyond initial target areas; requires specific knowledge of regional Korean real estate markets; hire when expanding to new regions
Personnel hiring will be closely tied to customer acquisition milestones and revenue targets, with priority given to roles that directly impact product quality and customer experience. Each new hire will be justified by specific growth metrics and operational needs.
8.2 Key Partners and Suppliers
The following partnerships and collaborative relationships are essential for RealDeal’s effective operation:
Technology Partners:
- Data Providers: Access to reliable real estate listing data feeds beyond public websites; potential partners include Korean real estate data aggregators and property information services; will establish formal data licensing agreements
- Cloud Service Providers: Reliable infrastructure for data processing and application hosting; AWS or Korean cloud providers like Naver Cloud or KT Cloud; implemented as subscription services
- Analytics Tools: Advanced data analysis capabilities; potential partners include Korean data analytics firms specializing in real estate; implemented as technology integration
- Payment Processing: Secure subscription billing; partnerships with local payment providers like KakaoPay, Naver Pay, and traditional banking systems; implemented as payment integrations
Channel Partners:
- Real Estate Agencies: Distribution channels to reach property investors; partnerships with leading Korean real estate agencies through commission-based referral programs; focus on agencies serving property investors
- Investment Advisory Firms: Access to clients actively seeking property investment opportunities; potential for white-label solutions; implemented as revenue-sharing agreements
- Real Estate Education Providers: Access to property investors in educational settings; partnerships with real estate academies and training centers; implemented as co-marketing initiatives
Content and Data Partners:
- Market Research Firms: Enhanced market data and insights; partnerships with Korean real estate market research companies; implemented as content exchange and data enrichment
- Industry Publications: Distribution of content and thought leadership; partnerships with real estate magazines and online publications; implemented as content contribution and promotion
- Government Data Sources: Access to official property and transaction records; established relationships with relevant government departments; implemented as data access agreements
Strategic Alliances:
- Property Management Companies: Value-added services for clients; alliances with companies managing investment properties; implemented as service bundling
- Mortgage Brokers: Financing solutions for property purchases; partnerships with Korean banks and mortgage providers; implemented as referral programs
- PropTech Companies: Complementary technology solutions; alliances with other property technology companies in Korea; implemented as integration partnerships
These partnerships will be developed incrementally, beginning with essential data providers and technology infrastructure in the pre-launch phase, followed by channel partnerships post-launch, and strategic alliances once the product has demonstrated market traction. Success metrics will include data quality improvements, customer acquisition costs reduction, and enhanced service offerings.
8.3 Core Processes and Operational Structure
RealDeal’s core processes and operational structure are designed to ensure reliable service delivery and continuous improvement:
Product Development Process:
- Requirements Gathering: Collect user needs and market insights; led by Product Manager; 2-3 weeks cycle; produces feature specifications
- Design & Planning: Create technical designs and implementation plans; led by Technical Lead; 1-2 weeks cycle; produces technical specifications and wireframes
- Development & Testing: Build and test new features; led by Development team; 2-4 weeks sprints; produces working code and test reports
- Deployment & Feedback: Release features and collect user reactions; led by Technical Lead and Customer Success; 1 week cycle; produces feature adoption metrics
Customer Acquisition and Onboarding:
- Lead Generation: Identify and attract potential customers; led by Marketing; ongoing process; produces qualified leads
- Sales Process: Convert leads to paying customers; led by Sales; 1-4 weeks cycle; produces new subscriptions
- Account Setup: Configure customer accounts and preferences; led by Customer Success; 1-2 days process; produces activated accounts
- Initial Training: Educate customers on platform usage; led by Customer Success; 1-2 hours sessions; produces trained users
- Value Demonstration: Show early wins and ROI to customers; led by Customer Success; within first 30 days; produces success stories
Customer Support Process:
- Issue Reporting: Capture customer problems and requests; multiple channels (email, chat, phone); immediate acknowledgment
- Triage & Assignment: Categorize and assign issues to appropriate team; led by Customer Support; within 2 hours; produces categorized tickets
- Resolution: Solve customer issues; led by assigned team member; within SLA timeframes (4-24 hours based on severity); produces resolved tickets
- Follow-up & Learning: Verify satisfaction and document lessons; led by Customer Support; within 24 hours of resolution; produces satisfaction ratings
Data and Insights Process:
- Data Collection: Gather real estate listing data daily; automated system; daily at fixed times; produces raw listing database
- Data Processing: Clean, normalize, and analyze property data; automated with human oversight; daily process; produces structured data
- Market Analysis: Identify trends, anomalies, and opportunities; combination of algorithms and analyst review; daily process; produces deal alerts
- Insight Delivery: Deliver actionable information to users; automated notification system; real-time process; produces user engagement
These processes will be managed using agile methodologies and supported by tools like Jira for project management, Intercom for customer support, and custom dashboards for monitoring key metrics. Continuous improvement will be driven by regular retrospectives and user feedback analysis, with quarterly process reviews to identify optimization opportunities.
8.4 Scalability Plan
RealDeal’s growth and business expansion plan includes the following strategic elements:
Regional Expansion:
- Months 1-6: Focus on Seoul and surrounding metropolitan area; establish strong presence in primary market; requires core team only
- Months 7-12: Expand to Busan, Incheon, and Daegu; apply successful patterns from initial market; requires additional data analysis for regional markets
- Months 13-18: Cover all major Korean cities; adapt algorithms for regional market characteristics; requires regional specialists and expanded data partnerships
- Months 19-24: Include smaller cities and specialized markets (vacation properties, commercial real estate); develop niche-specific features; requires specialized market expertise
Product Expansion:
- Months 1-3: Core property alert system; focus on accuracy and timeliness; requires initial development team
- Months 4-6: Advanced filtering and personalization; enhance user experience; requires UX improvements and algorithm refinement
- Months 7-12: Predictive analytics for market trends; provide forward-looking insights; requires data science capabilities
- Months 13-18: Investment portfolio analysis tools; help users manage multiple property interests; requires financial modeling expertise
- Months 19-24: Integration with transaction platforms; streamline from discovery to purchase; requires new partnerships and legal considerations
Market Segment Expansion:
- Months 1-6: Individual property investors; focus on early adopters seeking immediate returns; requires targeted digital marketing
- Months 7-12: Small to medium real estate agencies; provide professional tools and team capabilities; requires B2B sales approach
- Months 13-24: Property developers and large agencies; offer enterprise features and data insights; requires enterprise sales expertise
Team Expansion Plan:
- Technical Team: Grow from initial 3 developers to 8-10 within two years; build specialized roles for data science, infrastructure, and specific features; maintain flat structure initially with team leads emerging naturally
- Sales & Marketing Team: Start with 2 members, expand to 5-7 within two years; develop specialized roles for different market segments; implement territory-based structure as regional expansion occurs
- Customer Success Team: Begin with 1 member, grow to 4-5 within two years; establish tiered support structure with specialists for enterprise clients; maintain 1:100 CSM to client ratio for premium segments
- Administrative Team: Start with outsourced functions, bring key roles in-house as team expands; develop structured departments once company reaches 25+ employees; implement proper management layers by end of year two
This expansion plan will be triggered by specific performance indicators including customer acquisition rate, revenue per region, feature adoption metrics, and customer satisfaction scores. We’ll conduct quarterly reviews of these metrics against predetermined thresholds to authorize each expansion phase, with contingency plans for both accelerated growth scenarios and potential market challenges.

9. Financial Plan
9.1 Initial Investment Requirements
The following investment is required to launch and initially operate RealDeal:
Development Costs:
- Web Scraping System Development: $35,000 (Building robust data collection infrastructure with redundancies and error handling)
- Analytics Algorithm Development: $30,000 (Creating property valuation models and price anomaly detection systems)
- User Interface Development: $25,000 (Designing and implementing responsive web and mobile interfaces)
- Backend Systems: $30,000 (Developing database, authentication, and subscription management)
- Testing and Quality Assurance: $15,000 (Comprehensive testing across devices and use cases)
- Development Costs Total: $135,000
Initial Operating Costs:
- Legal Setup and Compliance: $10,000 (Business registration, contracts, data privacy compliance)
- Server and Infrastructure: $15,000 (6 months of cloud hosting, databases, and security systems)
- Office Space and Equipment: $20,000 (Co-working space, computers, software licenses)
- Initial Staffing: $75,000 (Key personnel salaries for 3 months pre-revenue)
- Operations and Administration: $15,000 (Accounting, HR, office management for 6 months)
- Initial Operating Costs Total: $135,000
Marketing and Customer Acquisition Costs:
- Brand Development: $8,000 (Logo, website, brand guidelines, messaging)
- Content Creation: $12,000 (Educational materials, case studies, market reports)
- Digital Marketing: $20,000 (SEM, social media, targeted campaigns for 3 months)
- Industry Events and Partnerships: $10,000 (Participation in real estate events, partnership development)
- Marketing Costs Total: $50,000
Total Initial Investment Requirement: $320,000
This initial investment is designed to support operations for the first 6 months, including the development phase and the initial 3 months post-launch. The budget includes a 15% contingency buffer built into each category. These estimates are based on current market rates for talent and services in Korea, with the assumption that the founding team will take minimal compensation during the initial development period.
9.2 Monthly Profit and Loss Projection
The projected profit and loss for the first 12 months after launch is as follows:
Revenue Projections:
- Months 1-3: $5,000-15,000 monthly (50-150 customers, primarily individual investors at $99/month)
- Months 4-6: $15,000-30,000 monthly (150-300 customers, mix of individuals and small agencies)
- Months 7-9: $30,000-50,000 monthly (300-500 customers, growing percentage of agency clients)
- Months 10-12: $50,000-80,000 monthly (500-800 customers, increased average revenue per user)
- Projected Monthly Revenue at Year 1 End: $80,000 (800 customers with 70% individual investors, 30% real estate agencies)
Expense Projections:
- Months 1-3: $40,000-45,000 monthly (Heavy on product development, initial marketing push)
- Months 4-6: $45,000-50,000 monthly (Adding customer success and sales personnel)
- Months 7-9: $50,000-60,000 monthly (Scaling technical infrastructure, expanding marketing)
- Months 10-12: $60,000-70,000 monthly (Team expansion, increased customer acquisition costs)
- Projected Monthly Expenses at Year 1 End: $70,000 (40% personnel, 25% technology, 20% marketing, 15% operations)
Monthly Cash Flow:
- Months 1-3: $25,000-35,000 monthly deficit
- Months 4-6: $15,000-30,000 monthly deficit
- Months 7-9: $5,000-20,000 monthly deficit
- Months 10-12: Break-even to $10,000 monthly profit
- Maximum Cumulative Deficit: Approximately $180,000
These projections represent a moderate scenario based on successful execution of our marketing and sales strategy. We’ve assumed a customer acquisition cost of $500 per customer initially, decreasing to $300 by year-end as brand awareness grows. The model accounts for 5% monthly churn and includes seasonal fluctuations in the Korean real estate market. In a best-case scenario, we could reach breakeven as early as month 9, while a worst-case scenario might extend this timeline to month 15-18.
9.3 Break-even Analysis
RealDeal’s break-even analysis provides insight into when the business will become self-sustaining:
Break-even Point Parameters:
- Expected Timeframe: 10-12 months post-launch
- Required Paying Customers: Approximately 500 users
- Monthly Fixed Costs: $45,000
- Average Revenue Per User (ARPU): $110
- Variable Cost Per Customer: $20
- Break-even Monthly Revenue: $55,000
Post Break-even Projections:
- Months 13-18: Monthly net profit $10,000-30,000
- Months 19-24: Monthly net profit $30,000-60,000
- Months 25-36: Monthly net profit $60,000-100,000
- Projected Monthly Growth Rate After Break-even: 8-12%
Profitability Improvement Strategies:
- Months 12-18: Introduce premium tiers with enhanced features for agencies, increasing ARPU by 15-20% for this segment
- Months 18-24: Optimize customer acquisition channels to reduce CAC by 25%, focusing on high-converting referral programs and content marketing
- Months 24-36: Develop complementary revenue streams through partnerships with mortgage providers and property management companies, adding 10-15% to overall revenue
This break-even analysis is most sensitive to customer acquisition rate and churn. Each 1% improvement in monthly churn reduces the break-even timeline by approximately 2 weeks. Similarly, a 10% reduction in customer acquisition cost can accelerate break-even by up to 1 month. The model assumes that the team size and structure remain relatively stable during the first year, with new hires directly tied to revenue growth milestones.
9.4 Funding Strategy
RealDeal’s growth stage funding strategy is structured as follows:
Initial Stage (Pre-seed):
- Target Amount: $150,000
- Sources: Founder contributions, angel investors from real estate industry, Korean government startup grants (TIPS program)
- Purpose: MVP development, initial team assembly, legal setup
- Timing: Immediate, prior to development
Seed Round:
- Target Amount: $300,000-500,000
- Target Investors: Korean PropTech-focused VCs, angel syndicates, strategic investors from real estate industry
- Valuation Target: $2-3 million (pre-money)
- Timing: 3-6 months post-launch
- Purpose: Team expansion, product refinement, customer acquisition
- Key Milestones: Achieve 200+ paying customers, demonstrate product-market fit with <5% monthly churn
Series A:
- Target Amount: $1.5-2.5 million
- Target Investors: Korean and Asian regional VCs with PropTech portfolios
- Valuation Target: $8-12 million (pre-money)
- Timing: 18-24 months post-launch
- Purpose: Market expansion throughout Korea, new product features, enterprise client acquisition
- Key Milestones: 1,000+ paying customers, $100k+ monthly recurring revenue, demonstrated unit economics
Alternative Funding Strategies:
- Revenue-Based Financing: Explore partnerships with providers like Lighter Capital if growth is strong but VC timeline extends; consider after reaching $50k MRR
- Strategic Investment: Pursue investment from established real estate platforms or data providers in exchange for exclusive partnerships; evaluate after demonstrating clear value proposition
- Venture Debt: Supplement equity funding to extend runway and minimize dilution; consider after securing seed round
- Government Innovation Grants: Apply for Korean government R&D subsidies for AI and data analytics innovations; pursue in parallel with equity fundraising
This funding strategy will be adjusted based on actual growth metrics and market conditions. We’ve established specific thresholds for each funding stage (customer count, revenue, churn rate) and will only pursue additional capital when those metrics are achieved. We’ve also developed contingency plans for both faster growth (requiring accelerated funding) and slower growth (extending runway through cost optimization and focus on profitability).

10. Implementation Roadmap
10.1 Key Milestones
RealDeal’s development and growth plan is structured around the following key milestones:
Pre-launch (Months 1-6):
- Months 1-2: Complete team assembly, finalize product specifications, establish development environment
- Months 2-3: Develop core data scraping infrastructure, implement basic analytics algorithms, create database architecture
- Months 3-4: Build user interface prototypes, conduct user testing, refine analytics models with historical data
- Months 4-6: Complete MVP development, conduct internal testing, prepare marketing materials, establish legal compliance
First 3 Months Post-Launch (Months 7-9):
- Achieve 150+ Active Users: Execute initial marketing push, leverage founder network for early adopters, implement referral program
- Collect User Feedback: Establish feedback collection system, conduct user interviews, prioritize feature requests
- Refine Core Algorithms: Improve accuracy of price anomaly detection based on real usage data, optimize alert triggering
- Secure 3+ Agency Partnerships: Establish relationships with Seoul-based agencies, create case studies
- Implement First Major Update: Release version 1.1 with improvements based on initial user feedback
Months 4-6 Post-Launch (Months 10-12):
- Reach 400+ Active Users: Scale marketing efforts, implement PR strategy, optimize conversion funnel
- Expand Geographic Coverage: Include complete coverage of Seoul metropolitan area and begin expansion to Busan
- Add Premium Features: Launch advanced filtering options, customized alerts, and enhanced analytics
- Achieve 40% Monthly Growth: Focus on scalable acquisition channels and referral optimization
Second Year Key Objectives:
- Q1: Expand to all major Korean cities, reach 1,000+ active users, implement enterprise-grade features
- Q2: Secure Series A funding, launch mobile application, establish data science team
- Q3: Reach 2,000+ active users, implement predictive analytics features, reduce customer acquisition cost by 30%
- Q4: Achieve profitability, begin planning for potential international expansion, develop integration ecosystem
These milestones will be tracked through weekly team meetings and monthly strategic reviews. We’ve established a flexible planning approach that allows for adjustments based on market feedback and operational learnings. For each milestone, we’ve identified critical path dependencies and developed contingency plans for potential delays, particularly around technical development and market adoption rates.
10.2 Launch Strategy
RealDeal’s market entry strategy is designed to build momentum and establish product-market fit:
MVP (Minimum Viable Product) Phase:
- Core Functionality Definition: Data scraping from major Korean real estate platforms, basic price trend analysis, alert system for new listings and price drops; focused on essential value drivers only
- Development Timeframe: 4-5 months
- Testing Methodology: Internal testing with simulated data followed by alpha testing with 20-30 friendly users from founder network
- Success Criteria: Ability to identify 90% of significantly underpriced properties within 2 hours of listing, with false positive rate below 15%
Beta Testing Plan:
- Participants: 50-100 beta testers selected from property investor communities and personal networks
- Duration: 4-6 weeks
- Incentives: Free access for 6 months post-launch, priority feature requests consideration, exclusive webinar access
- Testing Objectives: Validate alert accuracy, assess UI/UX usability, determine optimal alert frequency and format
- Feedback Collection Methods: In-app feedback forms, weekly user interviews with select participants, usage analytics
Official Launch Strategy:
- Initial Target Market: Seoul and surrounding metropolitan area, focusing on high-transaction districts first
- Primary Customer Segment: Individual property investors with previous investment experience, aged 30-45
- Launch Events: Virtual launch webinar demonstrating real property finds, partnerships with 2-3 property investment communities
- Promotional Offers: 30% discount on annual subscriptions for first 200 customers, free 14-day trial with no credit card required
- PR Strategy: Featured articles in Korean real estate publications, appearances on property investment podcasts, case studies of successful early users
Post-Launch Stabilization:
- Monitoring System: Real-time dashboard tracking system performance, user engagement metrics, and alert accuracy
- Response Protocol: 24/7 technical support for first two weeks, daily team standups to address emerging issues
- Initial Improvement Cycle: Weekly releases for first month addressing critical issues, bi-weekly feature updates based on usage patterns
This launch strategy is built on the principle of controlled growth to ensure system stability and service quality. We’ve studied successful SaaS launches in the Korean market, particularly from PropTech companies like Zigbang and Dabang, adopting their emphasis on reliability and user education while differentiating through our specialized focus on investment opportunities.
10.3 Growth Metrics and Targets
RealDeal will track the following key performance indicators and targets to measure growth:
User Growth Metrics:
- Months 1-3: 150 active users, 35% monthly growth rate
- Months 4-6: 400 active users, 30% monthly growth rate
- Months 7-9: 800 active users, 25% monthly growth rate
- Months 10-12: 1,500 active users, 20% monthly growth rate
Product Usage Metrics:
- Alert Open Rate: Target 75%+ (percentage of alerts opened by users); measured through in-app analytics
- Property View-through Rate: Target 30%+ (percentage of alerts that lead to detailed property views); tracked via user session analysis
- Weekly Active Users: Target 80%+ of total subscribers; monitored through login and engagement tracking
- Feature Adoption Rate: Target 60%+ adoption of advanced features by month 3 of usage; measured through feature-specific analytics
Financial Targets:
- Months 1-3: $15,000 monthly revenue, primarily from individual subscriptions
- Months 4-6: $30,000 monthly revenue, with 20% from agency subscriptions
- Months 7-9: $50,000 monthly revenue, with 30% from agency subscriptions
- Months 10-12: $80,000 monthly revenue, with 40% from agency subscriptions and premium features
User Satisfaction Metrics:
- Net Promoter Score: Target 40+ by month 6, 50+ by year-end; measured through quarterly surveys
- Customer Satisfaction Score: Target 8.5/10; collected after support interactions and at regular intervals
- Retention Rate: Target 92%+ monthly retention; measured through subscription analytics
Performance Measurement Framework:
- Weekly Tracking: User acquisition, engagement metrics, conversion rates, technical performance
- Monthly Tracking: Revenue growth, churn analysis, feature adoption, customer acquisition cost
- Quarterly Tracking: Unit economics, lifetime value calculations, satisfaction metrics, market penetration
These metrics will be tracked through a combination of tools including Mixpanel for user analytics, ChartMogul for subscription metrics, and custom reporting dashboards. The management team will review weekly metrics every Monday and conduct comprehensive monthly performance reviews with the entire team. If metrics fall below target for two consecutive measurement periods, we’ll initiate a focused sprint to address the underlying issues, beginning with customer interviews to identify root causes.
10.4 Risk Analysis and Mitigation Strategies
RealDeal has identified the following key risks and corresponding mitigation strategies:
Technical Risks:
- Data Access Limitations:
- Impact: Restricted access to property listings would directly impair core service functionality
- Probability: Medium
- Mitigation Strategy: Develop relationships with multiple data sources, implement diverse scraping methodologies, create direct API partnerships with select platforms, build buffer of historical data
- Algorithm Accuracy Issues:
- Impact: Poor detection of undervalued properties would undermine user trust and value proposition
- Probability: Medium
- Mitigation Strategy: Implement human oversight of algorithm results, continuously train models with user feedback, establish clear accuracy metrics and monitoring systems
Market Risks:
- Real Estate Market Downturn:
- Impact: Reduced transaction volume could decrease investor activity and willingness to pay
- Probability: Medium
- Mitigation Strategy: Develop features specifically valuable in down markets (distressed property identification), expand to counter-cyclical market segments, adjust pricing strategy
- Competitive Response:
- Impact: Major platforms could develop similar functionality and leverage existing user base
- Probability: High
- Mitigation Strategy: Focus on specialized investor needs beyond basic alerting, accelerate feature development roadmap, build network effects through community features
Operational Risks:
- Team Scalability Challenges:
- Impact: Inability to maintain service quality while growing could lead to customer dissatisfaction
- Probability: Medium
- Mitigation Strategy: Document core processes early, implement scalable customer service systems, establish training programs, hire ahead of growth curves
- Cash Flow Management:
- Impact: Funding gaps could force operational compromises or service interruptions
- Probability: Medium
- Mitigation Strategy: Maintain 6-month runway minimum, develop revenue-focused features early, establish credit lines before needed, create tiered cost-cutting plan
Regulatory and Legal Risks:
- Data Privacy Regulations:
- Impact: Changes to Korean data protection laws could restrict data collection or usage
- Probability: Medium
- Mitigation Strategy: Work with legal counsel specializing in Korean tech regulations, design systems for privacy compliance, implement consent mechanisms exceeding requirements
- Real Estate Information Restrictions:
- Impact: Government limitations on property data sharing could affect service functionality
- Probability: Low
- Mitigation Strategy: Engage with industry associations, establish connections with regulatory bodies, design alternative data methodologies
This risk management plan will be reviewed quarterly by the management team, with specific risk owners assigned to monitor each category. We’ve established trigger points for each risk that would initiate more aggressive mitigation actions. Our contingency planning includes specific response protocols for high-impact scenarios, with defined communication plans for stakeholders and customers.

Conclusion
RealDeal addresses a critical gap in Korea’s real estate market by connecting motivated sellers with opportunity-seeking investors through sophisticated data analysis that identifies properties priced significantly below market value. Through the strategies and plans outlined in this business proposal, we aim to become the dominant platform for real estate investment opportunities in Korea.
Our key competitive advantages include our specialized focus on urgent and distressed sales, proprietary algorithms for rapid price anomaly detection, deep understanding of Korean real estate investor needs, timeliness of alerts compared to general platforms, and our B2B approach that creates valuable partnerships with real estate agencies.
Financially, we project reaching breakeven within 10-12 months with approximately 500 paying customers, achieving profitability by the end of our second year, and building toward a $5-7 million annual recurring revenue business within 3-4 years. These projections are based on conservative customer acquisition rates and pricing aligned with the demonstrated value we deliver.
Ultimately, RealDeal will transform how property investment opportunities are discovered in Korea, creating a more efficient marketplace that benefits both sellers needing quick transactions and buyers seeking value. By connecting these parties more effectively, we aim to reduce friction in the Korean real estate market while building a sustainable, profitable business that delivers ongoing value to investors throughout the country.
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Disclaimer & Notice
- Information Validity: This Business Plan is based on publicly available information at the time of analysis. Please note that some information may become outdated or inaccurate over time due to changes in the service, market conditions, or business model.
- Data Sources & Analysis Scope: The content of this Business Plan is prepared solely from publicly accessible sources, including official websites, press releases, blogs, user reviews, and industry reports. No confidential or internal data from the company has been used. In some cases, general characteristics of the SaaS industry may have been applied to supplement missing information.
- No Investment or Business Solicitation: This Business Plan is not intended to solicit investment, business participation, or any commercial transaction. It is prepared exclusively for informational and educational purposes to help prospective entrepreneurs, early-stage founders, and startup practitioners understand the SaaS industry and business models.
- Accuracy & Completeness: While every effort has been made to ensure the accuracy and reliability of the information, there is no guarantee that all information is complete, correct, or up to date. The authors disclaim any liability for any direct or indirect loss arising from the use of this report.
- Third-Party Rights: All trademarks, service marks, logos, and brand names mentioned in this Business Plan belong to their respective owners. This report is intended solely for informational purposes and does not infringe upon any third-party rights.
- Restrictions on Redistribution: Unauthorized commercial use, reproduction, or redistribution of this report without prior written consent is prohibited. This Business Plan is intended for personal reference and educational purposes only.
- Subjectivity of Analysis: The analysis and evaluations presented in this Business Plan may include subjective interpretations based on the available information and commonly used SaaS business analysis frameworks. Readers should treat this Business Plan as a reference only and conduct their own additional research and professional consultation when making business or investment decisions.
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