Dynamic Custom Parameters Manager
Add unique industry, psychographic, ESG, or strategic parameters beyond standard metrics to weight segment attractiveness.
🎯 Segment Parameters & Scoring Matrix
GE-McKinsey Attractiveness vs. Competitive Fit Matrix
Bubble Size = Total Revenue Opportunity ($ TAM)
Figure: Segments in the top-right quadrant represent priority "Invest & Win" targets with high market attractiveness and high competitive fit.
Segment Attractiveness Index (SAI) Ranking
Multi-attribute weighted score incorporating standard & custom parameters
| Rank & Segment | SAI Score | Revenue TAM | Action |
|---|
Targeting & Marketing Budget Allocation Simulator
Allocate total marketing budget across target segments to model customer acquisition, gross profit, and return on investment (ROI).
Projected Segment Revenue vs. Marketing Budget
Segmentation, Targeting & Positioning (STP) Strategic Framework
Market segmentation is the strategic process of dividing a broad market into distinct subsets of consumers who have common needs, priorities, and behavioral responses. Effective targeting maximizes capital efficiency and customer lifetime value.
Four Core Bases of Market Segmentation
Quantifiable objective population statistics.
- B2C: Age, Income, Gender, Education
- B2B: Firm Size, Annual Revenue, Industry Verticals
Physical location and regional market characteristics.
- Territory, Urban vs Rural, Climate
- Regulatory Footprint & Local Compliance
Internal psychological attributes and lifestyle values.
- Social Status, Brand Values, Risk Tolerance
- ESG Consciousness, Tech Innovator Mindset
Actual interactions and purchasing habits with products.
- Purchase Frequency, Usage Rate, Loyalty Tier
- Feature Adoption & Price Sensitivity
Segment Attractiveness Index (SAI) Formula
- Financial Weight (40%): Market Size, ARPU, and Margin %.
- Growth & Fit Weight (30%): Annual Segment Growth Rate and Brand/Product Fit.
- Efficiency Weight (15%): LTV to CAC Ratio ($LTV / CAC$).
- Custom Variables Weight (15%): Custom parameters added dynamically by user.
Acquisition & Campaign ROI Mechanics
- CAC Efficiency: Lower CAC allows higher customer volume acquisition per dollar invested.
- Gross Profit Contribution: Accounts for variable margins before evaluating net campaign return.
Strategic Relevance of Dynamic Custom Parameters
Why non-financial, psychographic, ESG, and operational attributes are critical in multi-attribute evaluation
Measures post-purchase customer retention and organic re-order velocity. High loyalty reduces reliance on continuous paid ad spend and insulates the brand against price-slashing competitors.
Evaluates ease of physical retail shelf access, quick-commerce availability (e.g., Blinkit, Zepto), and distribution footprint. Higher reach accelerates market penetration without massive GTM delays.
Quantifies customer willingness-to-pay a premium for sustainably sourced, cruelty-free, organic, or eco-packaged goods. High ESG alignment drives brand equity and premium pricing leverage.
Reflects the segment’s comfort with Direct-to-Consumer (D2C) apps, social commerce, and digital purchasing journeys, lowering physical distribution overhead and CAC.
Identifies bargain-seeking segments heavily dependent on promotional discounts and cashback incentives. Highly price-sensitive segments erode long-term gross margins and exhibit lower loyalty.
Captures compliance overhead, ingredient testing approvals, labeling mandates, or import tariff barriers. Higher friction increases time-to-market and legal overhead costs.