0.034
Customer HHI
Low concentration — no single customer exceeds ~9% of total revenue.
Revenue Structure &
Concentration Analysis
Evaluates revenue growth dynamics, customer concentration risk, and internal SKU dependency using HHI, effective counts, and Pareto concentration modeling.
0.142
Category HHI
Balanced category exposure; top 2 categories contribute ~40% of revenue.
3–4
Effective SKUs
Driving Category 1 revenue despite 12 total SKUs in the category.
Insight 1 · Revenue Growth
Monthly Revenue Growth Driven by Order Volume Expansion
Growth Accelerating
Revenue accelerated sharply in the last five months, with monthly orders reaching 77 and revenue hitting ~$129K. AOV remained stable and new customer acquisition stayed minimal, confirming growth is primarily volume-driven rather than price inflation.
Insight 2 · Customer Concentration
Pareto Distribution & Concentration
Low Risk
Top 20% of customers generate about 60% of revenue, indicating a mild Pareto curve. Customer HHI of 0.034 confirms low dependency risk at the customer level.
Insight 3 · SKU Dependency
SKU Compression Within Categories
Moderate Risk
Category 1 (~21% of revenue) shows the highest compression gap (HHI: 0.304). SKU-level dependency is localized to select categories - not customer or category-level.
Structural Risk Summary
LowCustomer Concentration — HHI 0.034
LowCategory-Level Concentration — HHI 0.142
ModerateSKU Dependency within select categories (1, 6, 5)
Primary exposure is product-level fragility, not customer or category dependency. Risk is localized at the SKU level within high-revenue categories.
Strategic Recommendations
- Monitor high-compression categories for overreliance on leading SKUs (Categories 1, 6, 5).
- Evaluate SKU rationalization where redundancy exists.
- Protect top-performing SKUs in compressed categories from supply or pricing disruptions.
- Continue customer diversification to sustain the current low-concentration structure.