Datadory notebook
How sales growth teams use apparel, accessories & luxury goods data
Sales growth teams use apparel, accessories & luxury goods data to assemble brand-roster call lists from Lyst's 27,000+ brands and Zalando's 7,000+ partners, size territories with Eurostat retail turnover, time quotas against BLS apparel CPI back to January 1947, and spot new entrants through WIPO trademark filings. Of the 26 primary datasets Datadory catalogs, 20 are free.
1,744 datasets. Pick your catch.
What does selling into fashion actually demand from data?
What does selling into fashion actually demand from data?
Three inputs make up the working stack. First, a roster: which brands exist, where they sell, how wide the assortment runs. Second, timing: apparel demand swings by season and price tier, so a territory scored on last year's revenue misleads within one quarter. Third, trigger events: new trademarks, new market entries, new markdown behavior - each a reason to call this month rather than next.
Which datasets give you a Monday-morning brand roster?
Which datasets give you a Monday-morning brand roster?
How do you qualify an account before the first call?
How do you qualify an account before the first call?
Can transaction data sharpen your pitch to retail accounts?
Can transaction data sharpen your pitch to retail accounts?
Yes, and it is free. H&M Group released 31,788,324 real purchase transactions by 1,371,980 customers over 105,542 articles through its Kaggle competition - the largest public apparel transaction-level dataset in this slice, spanning roughly late 2018 through September 2020, with parquet mirrors totaling around 1 GB compressed. Customer locations are hashed postal codes, and the competition rules prohibit re-identifying individuals, which keeps usage inside research and demonstration boundaries.
For a seller, that file is a demo asset with real shape. Seasonality curves, repeat-purchase intervals and basket composition computed from 31.8 million rows let a rep walk into a retail account showing what personalization, allocation or loyalty tooling does on genuine purchase behavior - not on synthetic sample data. UCI's Online Retail dataset (541,909 rows, 22.6 MB xlsx) provides a commercial delivery terms 4.0 alternative with a lighter footprint, cited as Chen, D. (2015), DOI 10.24432/C5BW33.
Which signals make an apparel account warm this week?
Which signals make an apparel account warm this week?
Editorial flow supplies context for enterprise outreach. Business of Fashion publishes a structured article archive with topic and company taxonomies, the BoF 500 people index and case studies; its open RSS feed carries the latest 100 items at any time, verified current to 21 August 2026, while the full archive sits behind BoF Professional membership. BoF's robots.txt sets ai-train=no and permits only RSS-level consumption, so treat the feed as the sanctioned surface. FashionUnited's news stream adds a second daily-read layer across the same companies.
Which sources make the ranked shortlist for a fashion sales stack?
Which sources make the ranked shortlist for a fashion sales stack?
Ranked for a seller's Monday morning - roster width first, then signal quality, then ease of loading:
Is this data legal to load into your CRM?
Is this data legal to load into your CRM?
Where to go next
Where to go next
Start with the apparel accessories luxury goods data guide for the full 33-dataset map, then the dedicated page on apparel accessories luxury goods data for sales growth teams if you want this persona's qualifying datasets scored side by side. The all sales-growth-teams resources hub covers the other verticals a mixed-territory team sells into, and the best apparel-accessories-luxury-goods datasets ranking shortlists the strongest records regardless of role. For dataset-level detail, begin with the FashionUnited — Industry Statistics & Business Intelligence profile and work outward from there.
Pick up where this leaves off
Every one of these ships with sample rows before you commit to anything.
FashionUnited — Industry Statistics & Business Intelligence
country · value
Lyst Fashion Product Catalog Data
Zalando Apparel & Accessories Catalog Data
WIPO Global Brand Database — Apparel & Luxury Trademarks
BLS Public Data API — CPI Apparel Series
Eurostat Data Browser — Apparel, Textiles & Trade (PRODCOM, COMEXT)
Want rows instead of a pitch? Name the datasets.
API, files, or your warehouse. Daily, weekly, or hourly.
Get a sampleQuestions worth asking
Where can I get a list of fashion brands and stores to prospect into?
Lyst's fashion product catalog exposes brand, price, list price, discount and availability across more than 27,000 brands and stores in real time with JSON-LD markup. Zalando's catalog enumerates 7,000-plus brand partners across 29 European markets but blocks automated access outright.
Is there a free dataset that shows whether a fashion account is growing?
Yes - H&M Group's Kaggle release ships 31,788,324 real purchase transactions by 1,371,980 customers over 105,542 articles, spanning roughly late 2018 through September 2020 under rules barring re-identification. UCI's Online Retail dataset (541,909 rows) is a commercial delivery terms 4.0 alternative for lighter demos.
What free data times apparel territory planning across the year?
The BLS Public Data API v2 returns monthly US apparel CPI series CUSR0000SAA and footwear CUSR0000SEAA as JSON back to January 1947 (~950 observations per series), no key needed for small pulls. Eurostat adds EU clothing retail turnover and HICP clothing prices for 33 European economies, refreshed daily.