About Seasonly
Your sales already follow a yearly rhythm. Seasonly finds it and tells you what to do about your prices.
Upload your sales history as a CSV. Seasonly maps your columns, separates the seasonal cycle from the overall trend, and shows you a clear demand pattern across the year — which months run hot, which run cold, and by how much.
From that pattern it builds pricing windows for each product: the months where demand is strong enough to test a markup, and the months where a promotion makes more sense. Every recommendation comes with a confidence level based on how much history you have.
Who it's for
Small e-commerce and retail merchants who sell physical products with a seasonal shape — apparel, home goods, outdoor gear, anything that sells differently in July than in December. If you have at least a year of sales history, Seasonly has something to show you. You don't need a data team or a spreadsheet habit; a plain export from Shopify or your point-of-sale is enough.
How it works
- Upload — a Shopify order export, or any sales CSV with dates, products, and prices.
- Decompose — Seasonly separates trend from seasonal cycles across your full history.
- Price — get markup and markdown windows per product, with confidence scores.
Recommendations are insights to test, not guarantees — seasonal patterns come from your own history and can shift with the market.
Contact
Questions, feedback, or a tricky CSV? Email contact@getseasonly.com.