Problem (Pain Index: 9/10)
Leads keep coming in, but it’s unclear how many actually convert to revenue. It feels like ‘money is leaking’ somewhere.
Real Problem Scenarios:
- Difficult to track how many of 100 leads actually close
- Unable to identify at which stage leads drop off
- Subjectivity in measuring sales team performance
- Uncertainty in revenue forecasting
Frequency: Weekly frustration
Most small B2B teams struggle between spreadsheets and complex CRMs, unable to identify where exactly ‘money is leaking.’
Target Market
Primary Targets:
- B2B SaaS companies
- Service businesses (agencies, consulting)
- Sales teams (small teams under 10 people)
Market Size:
- TAM: $5B+ (CRM and sales analytics market)
- Small team segment: $500M+
- Growth rate: 12-15% annually
Customer Characteristics:
- Find HubSpot, Salesforce too complex
- Want simple visualization
- Need data-driven decision making
- High price sensitivity
Solution Proposal
Core Features:
Lead-to-Revenue Pipeline Visualization
- Conversion rates by funnel stage
- Real-time pipeline value
- Drop-off point highlights
Revenue Attribution
- Revenue contribution by channel
- Campaign ROI tracking
- Lead source analysis
Predictive Analytics
- Monthly/quarterly revenue forecasting
- Pipeline health score
- Goal achievement probability
Simple Dashboard
- Key metrics at a glance
- Team performance leaderboard
- Custom reports
Competitive Analysis
| Competitor | Position | Pricing | Weakness |
|---|---|---|---|
| HubSpot | All-in-one Marketing/CRM | $50-800+/mo | Complex, feature bloat |
| Salesforce | Enterprise CRM | $25-300+/user | Steep learning curve |
| Pipedrive | Sales pipeline | $15-99/user | Weak analytics |
Differentiation:
- Simple visualization tool for small teams
- Single purpose focus: ‘Lead to Revenue’
- 5-minute setup, almost no learning curve
- Reasonable pricing ($79-199/mo per team)
MVP Development Plan
Development Period: 11 weeks
Week 1-2: Data Modeling
- Lead/deal data schema
- User authentication system
Week 3-4: Data Input
- CSV import
- Basic API integration (HubSpot, Pipedrive)
- Manual input interface
Week 5-7: Visualization Dashboard
- Funnel charts
- Conversion rate analysis
- Revenue tracking graphs
Week 8-9: Analytics Features
- Drop-off point analysis
- Basic prediction model
- Report generation
Week 10-11: Launch Prep
- Beta testing
- Onboarding flow
- Documentation and landing page
Suggested Tech Stack:
- Frontend: React + D3.js/Recharts
- Backend: Python (FastAPI) + PostgreSQL
- Hosting: Railway/Render
Revenue Model
Pricing Structure:
| Plan | Price | Features |
|---|---|---|
| Starter | $79/mo | 3 users, basic visualization |
| Growth | $149/mo | 10 users, predictive analytics |
| Pro | $199/mo | Unlimited, API, custom reports |
Revenue Projections:
- Year 1 target: $8K MRR
- 60 paying customers (avg $130/mo)
- Target CAC: < $200
Growth Strategy:
- Target B2B SaaS founder communities
- Free ROI calculator for lead generation
- Case studies and template marketing
- Partnerships (CRM integrations)
Risks and Challenges
Technical Risks:
- Complexity of integrating various data sources
- Developing accurate prediction models
Market Risks:
- Feature expansion by CRM giants
- ‘Yet another analytics tool’ fatigue
Operational Risks:
- Long B2B sales cycles
- Customer onboarding support burden
Mitigation Strategies:
- Optimize self-service onboarding
- Focus on specific verticals (e.g., SaaS)
- Quick value proof (insights within first week)
Recommendation
Score: 87/100
- High Pain Index (9/10): Revenue visibility is a core concern for all B2B
- Clear Value Proposition: Showing ‘where money is leaking’
- Existing Tool Dissatisfaction: High complaints about HubSpot, Salesforce complexity
- High Willingness to Pay: B2B sales tools have easy ROI proof
- Expansion Potential: Can expand to CRM features later
However, considering the 11-week MVP timeline and long B2B sales cycles, patience will be needed for initial traction.