[!IMPORTANT]
If you only act on one page, make it this one. The data points to a handful of levers that matter far more than the rest.
85 orders of ₹50k+ drove 30% of revenue. These are corporate gifting, sports events, institutional awards and government supply. Every new repeat large account is worth ~50–100 walk-in customers. This is where time and selling energy should go.
82.5% of sales are on credit. The business lives or dies on getting paid. A single large customer going bad hurts more than a slow retail week. Tight, systematic follow-up on receivables is non-negotiable.
Many top accounts (yoga academies, sports bodies, banks, trusts) are recurring-need buyers — they hold events every year. Winning them once and keeping them is far cheaper than ₹8.9 L/year of Google Ads chasing new leads.
Gupta + Mutha = ~a third of stock. Good for negotiating leverage, risky if one stumbles. Lock in terms; keep a backup for critical SKUs.
Product data is now in. Margin is ~60% and customisation drives it (Customised Medal 4" = ₹11.6 L; ~half of all revenue is customisation/branding on top of goods). But ₹38 L is frozen in dead stock and a 2.5" medal is being sold below cost (~₹1.5 L lost). Selling more customisation while clearing slow stock and fixing prices is the fastest profit lever — see the Product & Stock Analysis page.
| Metric | Why it matters | Target direction |
|---|---|---|
| Orders ₹50k+ count | Drives 30% of revenue | ↑ |
| Receivables > 45 days | Cash-flow risk | ↓ |
| Repeat-customer revenue % | Cheapest growth | ↑ |
| Gross margin by product (once tracked) | True profitability | ↑ |
| Marketing ₹ per large order won | Ad efficiency | ↓ |