I was poking around on Poshmark last night like I always do, looking to see if I could make offers to interested buyers or find other ways to promote my listings, when I saw a button on my profile I had never tapped before. That isn’t the first time I’ve run across an unknown button, and the last time it happened I found a bunch of useful features that have helped me boost sales, so I hit this one right away. Simply called My sales report, the menu gave me the option to download all of my sales data into a spreadsheet. I’ve been analyzing the resulting export all morning, and I’m thrilled with how helpful it is. Here’s what you need to know.
How to download your Poshmark sales data
Exporting my sales data was simple (and reminiscent of when I did the same thing for my Peloton data). I tapped my Profile button on the bottom right of the Poshmark app, then scrolled down to My seller tools and found My sales report within. From there, you’ll have three options: Last full year, Year to date, and Custom range. After selecting one (and, if you choose to use a custom range, inputting it), all that’s left to do is hit Email report. For me, the reports I’ve generated all came in under three minutes.
Credit: Lindsey Ellefson
You can also request these using a browser. Tap your Profile picture on the top right, then Order activity. Find My sales report in the left-side menu and follow the same steps as before.
The link to download each report came to my email inbox. After downloading the CSV file, I stuck it in my Google Drive so I could open it in Google Sheets.
What the data includes
The spreadsheet this generates includes a lot of information, including:
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Listing date
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Order date
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Order ID
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Listing title
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Department (Women, Men, etc.)
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Category (Accessories, shirts, bags, shoes, etc.)
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Subcategory (Phone cases, tees, polos, heels, crossbody bags, etc.)
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Brand
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Color
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Size
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Whether the order was made in a bundle with other listings from your storefront
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Whether the order was purchased after a discount offer was made, either by you or the buyer
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Whether the item was NWT, or “new with tags”
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The order price
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The lowest price you ever had the item listed for
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Any shipping you paid (if you offered a shipping discount to the buyer, which the seller covers with their own earnings)
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Your total earnings
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The state the buyer lives in
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Their zip code
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Their username
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The sales tax paid by the buyer
Why this data is valuable
I am a dedicated Poshmark user, but I’m not a full-time seller or anything resembling a professional. All I do is sell my own stuff so I can get new stuff, relying on my own version of the “one in, one out” decluttering method. I don’t go thrifting to find clothes to sell, take high-quality photos, or really do much of anything serious or special, but I still sell enough that I’m making two to four trips to the post office in an average week. This isn’t my actual job or a real money-making endeavor for me, but it is generating payment consistently, so it’s good for me to pay attention to any trends in my selling that I might not be noticing in real time. I might as well optimize my approach to the extent possible, even though I’m pretty casual as far as sellers go. Still, I’ve been on Posh for over a decade and only really got serious with my sales in 2023, so I created a custom range for two and a half years when I downloaded my data.
Right away, I identified some valuable categories in the data. The listing date and order date are pretty key because they can give you insight into how long things are sitting in your storefront without being sold. By using the spreadsheet to figure out how many days were between listing and sale for each sold product, then sorting them by lowest to highest, you can get an idea of which brands or categories you’re selling are more popular. Then, you can list more of those kinds of things.
What do you think so far?
I was also interested in the discrepancy between the final price that was paid and the lowest price the listing ever was. The majority of my sales have been made after I sent the buyer a discount offer or they sent me one and I accepted it, so seeing how big the difference really is between what I want to earn on a sale and what I actually end up earning is valuable. I do wish, however, there was a column dedicated to highest listed price to accompany the data Poshmark provides on lowest listed price. I’d be interested in knowing how big the differences between what I originally valued an item at, how low I discounted it after it didn’t sell, and what I ultimately accepted for it are.
Credit: Lindsey Ellefson
I was also interested in the details of which states my shipped sales go to most often. I made a quick bar chart to show me which states have the most buyers for me and found that I’ve sent a ton to California. I don’t really know where my sales go most of the time because I use the QR code Poshmark generates when I make a sale and just show it to the post office cashier; I never print labels myself, let alone actually look at them. Other popular destinations for my goods, unsurprisingly, included other states with high populations, like Pennsylvania, New York, and Texas—but I’ve also made eight sales to Wisconsin, which was fun to learn. There isn’t much I can do with this data, considering I have no way to target buyers in certain regions, but I did find it interesting.
I repeated that process on the column containing my most-sold brands. I knew SHEIN and other fast fashion would be well-represented because I have seen such an uptick in interest in those since tariffs went into place, and other results weren’t surprising either: Higher-end goods from Gucci and Louis Vuitton have sold more than, say, Gymshark or Salt Life, but there’s probably some selection bias in there, since I’m more likely to list the products I know will bring in higher amounts of money. Still, it was validating to see all the random and unexpected brands that have sold. It reminded me that there’s value in listing any and everything since somewhere out there, a potential buyer does want it.
I’ll spend some time making detailed graphs over the next few days so I can really pinpoint what I should be listing and promoting, but even from a high level, the data here is useful. I did notice that though I set my end point on the date range to yesterday, the last listed sale in the data set I received is from two weeks ago, so there’s a delay in reflection. I’ve made a significant number of sales since then, partly thanks to my decision to spend a little money promoting my listings, so I’m eager to see the breakdown of those sales factor into my overall stats. I’m thinking, then, I’ll need to download this every month or so to make sure I have the best and most up-to-date information on trends as they relate to my sales. Honestly, I’m kind of excited to do it.
