Analytics
Most card sellers know what they sold. Far fewer know what they kept. Analytics takes your marketplace fees, ad spend, postage, supplies, refunds and card costs off the top, then shows you the number that is actually left.
Revenue Is Not the Number That Matters
A $40 sale can leave you eleven dollars, and the sales report will still say $40.
Sell a card for $40 and eBay reports $40. Then take out the final value fee, the promoted listing fee, the per-order fixed fee, the postage, the mailer, and the $22 that card cost you as part of a collection buy. What actually landed in your pocket is a different number, and it is the one worth planning around.
Most sellers work this out once a year with a spreadsheet and a bad evening. Analytics does it continuously, because it already knows what you paid, what you charged, what eBay took, and what shipping cost.
What Each View Answers
Seven days, thirty, ninety, or a year. Pick the period and the page redraws around it.
| View | What It Answers |
|---|---|
| Overview | What did I actually make? The profit and loss waterfall, plus revenue, orders, average order value, profit per card, and realised against potential profit. |
| Sales | What is selling? Revenue over time, split by game and rarity, best sets, top cards, and how fast each price tier clears. |
| Inventory | What am I sitting on? Stock value, velocity, days to sell, sell-through per game, and the cash frozen in cards that have not moved in ninety days. |
| Forecast | Where does this go? Your projected plateau, what a day is worth there, how long it takes, and a model you can change to test any of it. |
Overview: Profit and Loss
Gross sales stepped down through every cost to what you kept.
Every Cost as Its Own Bar
Gross sales on the left, net profit on the right, and every deduction as its own bar in between: marketplace fees, ad spend, fixed per-order fees, postage, supplies, what the cards cost, and refunds. Sales from every marketplace are counted, with eBay's real transaction fees where PowerList TCG receives them and your configured rate everywhere else. The fee bar is named for what it actually holds. Gross includes the shipping buyers paid you, which is what lets it reconcile against refunds. You can see which bar is eating your margin instead of guessing from one summary figure.
Real Fees Where eBay Has Them
Final value fees and promoted listing fees come from your eBay transaction records once your account is connected for finance data, with refunded fees netted back out. The panel is marked Actual Fees when those numbers come directly from eBay. Before that, your own fee settings fill in the estimate. The waterfall never goes blank.
Realised Against Potential
Total investment, the profit still sitting unsold in your inventory, and the profit you have actually banked in the last thirty days, side by side. A large potential number next to a small realised one tells you something worth knowing about how you are buying. These three use your fee settings rather than settled fees, since most of that stock has not sold yet.
Averages Weighted by Units
Average sale price is worked out across units sold, not across listings. Sell forty commons and one chase card and a flat average would tell you your typical sale is far bigger than it really is.
Sales: Revenue and Sell-Through
Revenue is easy to see. Which cards are producing it is the useful part.
Revenue Against Units
Daily revenue as bars with units sold drawn over the top. Two lines that usually track each other, and the days they come apart are the interesting ones: a big revenue day on few units means a chase card moved.
Split by Game and Rarity
Revenue by game with the dollar figure for each, and your top twelve rarities ranked. If eighty percent of your money comes from one game, that is worth knowing before your next buy.
Best Sets, Top Cards
Your fifteen best sets ranked by revenue with units, unique SKUs, and revenue per unit beside them, so a set doing volume on cheap cards is distinguishable from one carrying a few expensive ones. Under it, your twenty top cards by units with set, finish, revenue, and average price.
Sell-Through by Price Tier
Under $1, $1 to $2, $2 to $3, $3 to $5, $5 to $20, $20 to $100, and $100 plus. Each row shows how many are active, what share of your stock that is, how many sold, the daily rate, and how long that tier takes to clear. Tiers with too few sales to trust are flagged.
Inventory: What You Are Holding
Stock value, how fast it moves, and how much of it is not moving at all.
What You Are Holding
Stock value at market, active listings, orders per day, and average days to sell. Beside them, the working numbers: how many cards are queued to list, how many have quantity changes waiting to push, and how many have no price yet. Days to sell stays blank until ten real sales have been measured, and it only counts from the day a card actually went live. It never shows a thin or fake figure.
Sell-Through per Game
Sold against in stock for each game, as a rate. Fifty thousand Pokemon cards moving at a fraction of a percent is a different business from a smaller Yu-Gi-Oh! shelf turning several times faster, and the bars make the gap obvious.
Dead Inventory in Dollars
Ninety days without a sale, grouped by game, with the dead SKU count, the quantity, and the money tied up in each at market price. Not a list of stuck cards, a total of frozen cash, which is the version that makes you do something about it.
Forecast: Projecting Your Growth
Revenue scales with how fast you list. Almost nothing else moves it as much.
For a forecast, sell-through is treated as roughly fixed. If it takes 1,169 active listings to sell one card a day, then listing faster is the only lever that really moves revenue. Keep listing at a steady pace and your active count climbs until sales cancel out new listings. That point is your plateau, and it decides what your store earns.
Sell-through is measured per price tier, because a blended figure lies: a $2 common and a $200 chase card sell at rates fifteen times apart, and averaging them tells you nothing about either. The forecast then works out four things: how many listings it takes to sell a card a day, where your count levels off, what a day is worth there, and how long it takes to get within reach.
Forecast: The Simulator
Every input starts at your real number from the last thirty days. Change any of them and the projection redraws.
Pace and Growth
Cards uploaded a day, what share of those become brand new listings, and whether that pace grows each month, as a number or a percentage. New listings and restocks are treated differently, because a page that was not there before creates exposure a restocked one does not. Doubling your pace answers itself in a second instead of after six months of doing it.
Prices and Sell-Through
Average listing price, cards per order, and how many listings it takes to make a sale, plus a monthly improvement figure if you think you can get better at it. Raising prices ten percent may slow sell-through. This is where you find out whether the extra margin is worth the trade.
Costs and Fees
Purchase cost per card, shipping cost and shipping charge per order, and the fee rate for each marketplace you sell on. Storefront fees run lower than eBay's, and the model can shift a growing share of sales onto them month by month, so selling across more than one place gets modelled instead of guessed at.
Month by Month, with ROI
A monthly net profit curve and the table behind it: total sales, income, expenses, profit, listed, sold, sell-through, and return on investment for every month up to the end date you picked. Reset to your current numbers whenever the what-if gets away from you.
Known Limits
What the numbers do and do not cover.
- Real fees are eBay's only. eBay reports what it actually charged you. A storefront's payment processing is charged by its own gateway, which does not report back, so those come off at a rate you set on the Fee Calculator. Ad spend and the under and over ten dollar fixed-fee tiers are eBay's fee structure and apply to eBay sales alone.
- The Forecast runs on eBay. It projects from sell-through per active listing, and its history is eBay listings. You can point the model at other fee rates to see where a wider mix lands, but what it learned from is eBay. Sell-through by price tier reads eBay listings for the same reason.
- Card cost depends on you logging the purchase. Cards tied to a lot carry an even share of what it cost. Cards with no lot use a default cost you set for the account, and if that is blank they count as free, which makes profit look better than it is until you fill it in.
- Postage and supplies are your configured rates, not measured ones. Both are worked out per order from figures you set. The simulator's purchase cost per card starts as an estimate too, and it is the one input worth checking before you trust a projection.
- A forecast is a projection, not a promise. It runs your own recent sell rate forward, and cancelled orders are already left out of everything it learns from. A new set release, a price spike, or a slow January will all beat it.
- Dead inventory is a fixed ninety days. That threshold is not adjustable today, which is worth knowing if you deal in cards that normally sit longer than that.
Analytics: Common Questions
Are the fees real, or estimated?
eBay's are real, once your account is connected for finance data and the fees have settled. Final value fees and ad fees come straight from eBay's transaction records, refunded fees are netted back out, and the panel is marked Actual Fees when that is what you are looking at. Before that, your own fee settings fill in the estimate. Storefront processing fees are always worked out from a rate you set. The waterfall never goes blank.
What is actually taken off the top?
Gross sales, which includes the shipping buyers paid you, then eBay fees, ad spend, the fixed per-order fee, postage, packing supplies, what the cards cost you, and refunds. Any overhead you have recorded comes off as well. What is left is net profit, with the margin beside it.
Where does the cost of a card come from?
From the lot you bought it in. Log a $400 collection, tie your scans to it, and each card carries an even share of that cost. When a card sells, its cost is stamped on the sale at that moment. Revising the lot later does not rewrite old profit. Cards with no lot fall back to a default cost you set for the account.
What does the forecast actually model?
How your listing pace turns into revenue. At your current sell-through it takes a certain number of active listings to sell one card a day. Keep listing and your active count climbs until sales cancel out new listings. The forecast works out where that plateau is, what a day is worth there, and how long it takes to get within reach.
Can I test a change before committing to it?
Yes. Pick an end date, then change your upload pace, the share of cards that become new listings, monthly growth in either, your sell-through, prices, costs, or fee rates. The monthly projection redraws as you type.
Why does the sell-through table flag some price tiers?
Because a tier with one or two sales in it cannot tell you much. Tiers with too few sales are marked so you know which rows of the projection are resting on almost nothing.
How accurate is the forecast?
It is not a promise. It starts from your actual sell-through, listing pace, prices and costs over the last thirty days and runs them forward. The further out you look, the more the assumptions matter, and a new set release or a slow month will beat it. Treat it as the shape of what happens if nothing changes, and use the simulator to see what does.
How far back can I look?
Seven days, thirty days, ninety days, or a year. Sales, revenue, the waterfall, and the forecast all follow the period you pick. A few operational figures use fixed windows on purpose: velocity and realised profit look at the last thirty days, days to sell and dead inventory at the last ninety.
Keep Reading
Every feature below is included on every plan.
Know What You Are Actually Making.
Real costs, real profit, and where your store is headed.
