Etsy Statistics What Sells: Analyze Your Shop CSV Export
Etsy statistics what sells data comes as a CSV export containing your listing performance including views, favorites, orders, and revenue per item. The file shows which products sell but requires manual sorting and calculation to identify your best performers and seasonal trends.
You can sort, filter, and calculate across your entire Etsy statistics export without formulas or pivot tables breaking when you change views.
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What DataMimi shows for a Etsy sold order items
1,369 rows, Jul 2025 – Aug 2026. Computed by DataMimi from a sample export with the same columns as yours — the data is invented, the figures are exactly what the app produces from it.
What this export contains
| Listing ID |
| Title |
| Views |
| Favorites |
| Orders |
| Revenue |
| Listing Date |
| Tags |
| Category |
| Price |
| Quantity Sold |
| Conversion Rate |
Common questions
How do I use Etsy statistics what sells data to find top products?
Divide the Revenue column by the Orders column for each listing. This shows average order value per product, helping you identify which items bring in the most money per sale rather than just the most orders.
What is a good conversion rate in Etsy shop statistics?
Conversion rate is orders divided by views. Etsy sellers typically see 1-5% conversion. Calculate this for each listing to find which products turn views into sales and which get traffic but do not convert.
Why do some listings have high favorites but no orders?
Sort by favorites and filter for zero orders. High favorites with no sales often indicates pricing issues, unclear photos, or shipping costs that appear only at checkout. The statistics export shows this pattern but does not explain the cause.
How do I find seasonal trends in my Etsy sales data?
Extract the month from the order date column and sum revenue by month. Many Etsy categories peak in November-December or have spring and summer seasons that repeat yearly.
Can I see which tags drive the most Etsy sales?
Split the Tags column so each tag becomes a separate row, then sum orders or revenue by tag. This shows which search terms in your tags correlate with actual sales versus just appearing in your listings.
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
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