Data source
Data from Kaggle, delivered clean.
1 dataset pulled from Kaggle's releases, checked field by field and shipped the way you want them — daily, weekly, or hourly, your call.
- 1 dataset
- 1 industry
- Real rows on request
What Datadory delivers from Kaggle
1eCommerce Behavior Data from Multi-Category Store (Apparel Segment)
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Straight answers about Kaggle data
How far back does the clickstream data go?
Seven consecutive months: October 2019 through April 2020, two holiday seasons included. The corpus documents one fixed window by design, so treat it as a deep behavioral baseline for modeling and benchmarking rather than a running ledger of recent transactions.
Can I track the same shopper across multiple visits?
Yes. `user_id` is permanent and constant across sessions for the same shopper, while `user_session` changes only after a long pause away from the store. A customer who returns three days later is still the same ID - which is what makes multi-session journeys and genuine abandonment analysis possible.
Does category_code cover every product?
No. The taxonomy code is usually present for meaningful categories - `apparel.shoes`, `electronics.smartphone` - and commonly skipped for miscellaneous accessories. Treat it as high-precision but incomplete, and lean on `category_id` and `brand` when recall matters more than tidy labels.
How large is the corpus?
The dataset card documents roughly 285 million users' events across the seven-month window. The documentation leaves ambiguous whether that headline counts events or distinct shoppers; either reading exceeds what apparel funnel modeling requires. At last research the listing had recorded about 83,000 pulls and 541,000 views.