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Spot trending products 2-6 weeks before peak
Bestseller rank velocity, review-count momentum, new-launch detection, social-commerce hype — combined into a single early-warning signal across Amazon, TikTok Shop, Flipkart and marketplaces worldwide.
Demand signals that lead Google Trends by 1-3 weeks.
Actual purchase signals, not just search interest. Earlier — more actionable.
Bestseller rank velocity
BSR movement tracked daily — rapid rank climbs flagged as early trend signals.
Review-count momentum
Weekly review velocity per SKU — +500 reviews/week signals viral demand.
Search-rank climb
How SKU rank changes on category search results — SERP position as demand proxy.
New launch detection
First-seen flag on every catalog — week-1 launch tracking with brand and category.
TikTok Shop hype
Trending products on TikTok Shop, view counts, sales velocity from live shopping.
Whatnot livestream winners
Top-selling livestream products with bid activity and final sale velocity.
Price-volatility patterns
Sudden price drops or stock-outs — indirect demand pressure signals.
Category share shifts
Sub-category momentum within categories — which sub-niche is winning?
Trend lifecycle score
Composite "ramp / peak / decline" position score per SKU for buy/hold/skip decisions.
Purchase signals lead search signals.
Purchase signals, not search
Google Trends shows what people search for. We track what people BUY — bestseller rank, review velocity, sales count. Buying happens 1-3 weeks AFTER searching peaks.
Social commerce included
TikTok Shop and Whatnot livestream commerce are major trend drivers in 2026 ($15.82B + $6B GMV). Google Trends doesn't see these. We do.
Multi-signal composite
Single-signal trend tracking misleads. We combine 9 signals into composite score — reduces false positives.
Lifecycle stage tagging
"This is trending" isn't enough — is it ramp (buy), peak (skip), or decline (clear out)? We tag lifecycle stage on every flagged SKU.
What brands & retailers do with trend data.
Product development
Spot rising categories 2-6 weeks before peak — pipeline planning advantage.
Inventory pre-buy
Stock ramp-phase products before competitors notice — capture early margin.
Marketing budget allocation
Shift ad spend toward rising sub-categories ahead of peak demand.
New launch competitive scan
Track competitor new launches weekly — respond before they gain traction.
Decline detection
Catch peak signals to clear inventory before margin compression hits.
Category strategy
Sub-niche momentum tracking — pickleball within "sports", LED grow within "garden".
Influencer category match
Match TikTok hype categories to influencer outreach for paid partnerships.
Buyer / merchant alerts
Daily / weekly trend alerts to category buyers — structured email or Slack feed.
VC / investment scouting
Track category momentum to identify investable consumer brands ahead of market.
From brief to trend feed in 24 hours.
Define scope
Categories, geos, marketplaces, signal sensitivity threshold.
Free sample feed
Within 24 hours, sample trend feed for your categories with all 9 signals.
Production pipeline
Daily refresh with weekly trend reports & alerts.
Iterate & refine
Tune signal weights based on which trends matter to your team.
Demand & trend intelligence FAQs
Bestseller-rank movement, review-volume velocity, new-launch detection, search-rank rise, social-commerce hype signals from TikTok Shop and Whatnot, and price-change patterns across hero SKUs.
Typically 2-6 weeks before the trend peaks. We catch products in the "ramp" phase by combining review-velocity, BSR climb and social-commerce hype tracking.
Amazon (Movers & Shakers, Best Sellers), Walmart trending, Flipkart bestsellers, TikTok Shop hype products, Whatnot live winners, plus DTC brand sites for direct trend signals.
Daily refresh standard with weekly trend reports. Output as CSV/JSON with movement metrics, or dashboard view with trending flags.
Google Trends shows search interest; we track actual purchase signals — bestseller rank, review velocity, inventory turn — which lead Google Trends by 1-3 weeks.