01 Β· Discover
Where to look?
Market radar, growth pockets, low-competition spaces.
02 Β· Category
What is happening?
Market structure, price architecture, timing, products.
03 Β· Brand
Who is winning?
Benchmark brands, share, price position, SKU velocity.
04 Β· Execution
Where is leakage?
Seller landscape, reseller mix, undercutting, KAM action.
π Top 10 SKU Race
Monthly top-selling SKUs Β· trailing 12 months Β· a line follows the same SKU through the rankings
Category GMV Trend
Monthly total Β· Shopee Indonesia Β· Last 12 months
Top 10 Brands
By GMV Β· selected month
Top Merchants
80% GMV contributors Β· selected month
| # | Merchant | Tier | GMV/mo | Cumul. |
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π¨ New Entrant Watchlist
Growing against category trend Β· cross-check TikTok
| Brand | GMV | 3mo Ξ | 6mo Ξ | Signal |
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π BreakoutBreakout β >1,000% GMV growth in 3 months.
β‘ VelocityVelocity β Strong GMV with sustained growth.
β RisingRising β Consistent upward trend 3β6 months.
π NewNew β Appeared within last 6 months.
π Cross-Platform Intelligence
Category GMV split Β· Top brands per platform Β· TikTok gap analysis
Hide β²
TikTok Gap β Top Shopee Brands
π’ = active on TikTok Β· π΄ = not found on TikTok (outreach target)
π° Price Ladder
GMV by price band Β· band edges from selected month quintiles
π Premiumization
Band share of GMV Β· 12 months Β· gold line = avg selling price
Biggest Platform Event
β
π Lebaran-Aligned Demand
Avg GMV index by months from Eid Β· 100 = normal Β· Hijri calendar drifts ~11 days/yr
π Calendar Profile
Avg GMV index by calendar month Β· platform events highlighted
π Next 3 Months
Expected demand index from calendar + Lebaran-offset profiles
βοΈ Brand Compare
Side-by-side benchmarking Β· pick 2β5 brands from the category top 10
GMV Trend
Monthly GMV per brand Β· last 12 months
Market Share Trajectory
Share of total category GMV (incl. unbranded) Β· last 12 months
Price Position
Top SKUs per brand Β· realized price vs units Β· trailing 3 months Β· bubble = GMV
New-SKU Velocity
SKUs first seen in the category that month Β· last 6 months
βοΈ Price Elasticity
Observed priceβvolume response by brand Β· within-SKU, 24 months Β· directional, not causal
π― Promo Dependency
Which brands rely on discounted months for GMV
| Brand | Promo GMV | Mo | Depth | Profile |
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πͺ Seller Landscape
Where this brand is sold, by whom, and at what price
Seller Count Trend
Official stores vs reseller footprint Β· trailing 12 months
Official vs Reseller Mix
GMV share by seller type Β· monthly
KAM Risk Readout
Distribution control, pricing leakage, and seller concentration
City Footprint
Where seller GMV is concentrated this month
π‘ Price Control Monitor
SKU-level reference price vs every seller carrying this brand
Merchant Distribution Table
Top 80 sellers by GMV Β· undercut flags aggregate SKU-level price gaps
| # | Merchant | Type | City | GMV | Share | Avg Price | SKUs | Undercut |
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