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Sports data — seasonal cycles, spec-matched, brand-DTC tracked
Sports retail runs on overlapping seasonal cycles — skis sell Oct–Mar, swimwear Apr–Aug, running spikes Jan and Sep, fitness peaks at New Year. Sport-specific specs (shoe drop, racket head size, ski length) drive purchase. We model all of it.
| Sport | J | F | M | A | M | J | J | A | S | O | N | D |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Running | ||||||||||||
| Cycling | ||||||||||||
| Swim / Beach | ||||||||||||
| Snow / Ski | ||||||||||||
| Fitness / Gym | ||||||||||||
| Camping |
Sports data with sport-specific specs.
Not generic e-commerce flattened — sport-by-sport structured attributes.
Sport & sub-category
Running, cycling, swimming, ski, fitness, racquet, team sports, outdoor as primary filter.
Footwear specs
Shoe drop (mm), stability type, cushioning, surface (road/trail), gender, US/EU/UK sizes.
Apparel specs
Material, fit (slim/regular), moisture-wicking, UV protection, gender, full size range.
Equipment specs
Racket head size, ski length, bike wheel/frame size, GPS watch features — sport-specific fields.
Athlete signature lines
Jordan, Curry, LeBron, Federer, Nadal collections tagged & tracked.
Brand DTC pricing
Nike.com, Adidas.com, Patagonia.com vs retailer parity — spot leakage.
Season-end clearance
End-of-season markdowns flagged with timeline — ski Mar/Apr, swim Sep/Oct.
Pre-launch hype tracking
Sneaker drops, athlete collection releases, raffle/draw entries on hype SKUs.
Outdoor / camping
Tent capacity, pack weight, water resistance rating, temperature rating structured.
What makes sports data different.
Sport-cycle aware capture
Each sport has its own peak window. Capture cadence ramps per sport — ski in Sep–Oct, swim in Mar–Apr, fitness in Dec–Jan.
Brand DTC vs retailer parity
Nike, Adidas, Lululemon and others sell direct AND through retailers. DTC pricing parity audits are the #1 sports brand use case.
Hype-drop detection
Jordan Releases, Yeezy drops, athlete collections — flagged as they hit catalogue with raffle/draw status captured.
End-of-season markdowns
Ski gear at 50% in March, swimwear at 40% in September — predictable markdown patterns tracked annually.
What sports brands & retailers do with this data.
DTC vs retailer parity
Your brand.com vs JD Sports/Decathlon pricing — spot leakage on hero SKUs.
Pre-season ramp planning
Sep ski catalogue, Mar swim catalogue — historical pricing for planning.
Hype-drop monitoring
Jordan/Yeezy/Curry release-day pricing, sold-out velocity, raffle entries.
Spec-level competitive scan
"All road-running shoes 8–10mm drop, $120–$160" — queryable specs.
End-of-season clearance audit
When do competitors start ski markdowns each year? Your timing baseline.
Brand catalogue audit
Your brand's full presence across Decathlon/REI/Dick's with SKU coverage gaps.
Athlete signature line tracking
Signature collections across brands — new model launches, exclusives, drops.
Cross-marketplace MAP
MAP violations on hero athletic footwear across Amazon, eBay marketplace 3P.
Outdoor gear competitive specs
Tent weight, sleeping bag rating, pack volume — structured spec comparison.
From brief to sports dataset in 24 hours.
Send scope
Brand list, retailers, sport sub-categories, spec fields needed.
Free sample
Within 24 hours, sample with sport-specific specs + DTC vs retailer prices.
Production pipeline
QA'd pipeline with per-sport cadence ramps configured.
Sports & outdoors scraping FAQs
Decathlon (global), REI & Dick's Sporting Goods (US), Bass Pro / Cabela's, JD Sports & Sports Direct (UK), Rebel Sport & BCF (AU), Sun & Sand Sports (UAE), Decathlon India, plus brand DTC sites (Nike, Adidas, Patagonia, Columbia, The North Face).
Sport-specific attributes (running shoe drop, tennis racket head size, bike wheel size, ski length, GPS watch features) captured as structured fields, not buried in descriptions.
Yes — winter sports (Oct–Mar), water sports (Apr–Aug), running (Jan resolution surge), back-to-school sport. Cadence ramps automatically around each sport's pre-season window.
Athlete signature lines (Jordan, Curry, Federer collection, etc.) tagged and tracked — helps identify when new releases drop and pricing volatility on hype lines.
Daily refresh standard. Hourly during pre-season ramps, BFCM and sport-specific events (e.g. Wimbledon, Marathon majors, ski season open).