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What Is Working?

Identify winners and weaknesses. Only real platform data analyzed.

📈 Top Products (by Revenue)

Product Revenue Conversion Refund % Status
No products with transaction data yet. As products sell, real performance metrics will appear here.
Classification: SCALE = Strong revenue + healthy economics | OPTIMISE = Demand but low conversion | EXPERIMENT = Early stage | RETIRE = Weak performance

🎯 Top Categories (by Conversion)

No category performance data yet. As customers search and purchase across categories, conversion metrics will appear here.
Metric: Sellers
0
Metric: Conversion
—
Metric: Monthly Revenue
$0
Classification: CORE = Validated demand & revenue | GROWTH = Promising | EMERGING = Early signals | LOW_PRIORITY = Weak demand

👥 Top Sellers (by Revenue)

Seller Products Revenue Repeat Sales Status
No sellers with sales yet. Real seller performance will appear as sales occur.
Sellers ranked by: Revenue, Quality (refund rate), Retention (repeat customers), Customer satisfaction

🔗 Top Acquisition Channels

No channel data yet
Customers acquired: 0
Test
CAC
—
LTV
—
Revenue
$0
Status: TEST = Early validation | MAINTAIN = Baseline performance | INCREASE = Growing profitably | DECREASE = Declining | PAUSE = Not profitable

🎯 Winning Playbooks (Ready to Scale)

Once real winners emerge, their playbooks appear here:
  • ✓ Product characteristics (category, price, format)
  • ✓ Acquisition method (how customers found it)
  • ✓ Conversion factors (what made them buy)
  • ✓ Retention signals (why they returned)
  • ✓ Economics breakdown (costs, margins, LTV)
  • ✓ Scaling potential (can this repeat?)

⚠️ Weakness Patterns (What to Improve or Stop)

Once patterns emerge in underperforming areas, they appear here:
  • ✗ High traffic / low conversion → Improve product pages
  • ✗ High CAC / low LTV → Wrong audience targeting
  • ✗ High refunds → Product-market mismatch
  • ✗ Seller inactivity → Weak supply in category
  • ✗ Weak retention → Not meeting customer needs
Data Integrity: All metrics on this dashboard pull directly from verified transaction data. Winners are identified using:
  • • Real purchases and revenue (not projections)
  • • Actual refund rates and customer returns
  • • Verified conversion metrics from funnel
  • • Real repeat purchase behavior
  • • Actual acquisition source attribution
No fabricated metrics, vanity numbers, or assumptions are shown.