TFCB Annual Auction
An online auction with in-person pickup at multiple locations, created by admin
|Users who bought or sold at least one item||50
|Users who confirmed a pickup location||83
Number of users who viewed lots, logged in, bid, and won lots in this auction.
In order for the auction to succeed, users must
This graph represents "friction" in this process. At each step, some number of people will give up. Ideally, every user who viewed a lot would win at least a lot or two, meaning there would be very little change as you move down the graph.
- Visit the site
- See a lot they like
- Sign up for an account
- Place a bid
- Up their bid if they are outbid
Remember that this graph only indicates people who visited the auction site, we can't know how many people are (for example) aware of your club but don't know about the auction, or have heard about the auction but didn't have a link for the site.
|Unsold lots||43 (15%)
|Median lot price||$11.00
|Gross (value of all lots sold)||$3579.00
|Club profit (unrounded)||$ Loading
|Club profit (invoices are rounded to the nearest dollar)||$ Loading ( Loading % of gross)
|Seller payout||$ Loading
Lot sell prices
How many lots sold at different price points.
Buyer's auctions have a distribution towards the left, seller's auctions towards the right.
Competition for lots
How many bidders were there per lot?
Ideally, each lot would have at least 2-3 bidders -- having at least two people who "must have" a lot means that lot will sell for what it's worth.
Lots of lots with few bidders means you need to attract more buyers next time.
Lots of lots with lots of bidders means your auction can support more sellers.
Relative popularity of categories by views and by number of lots. Click a label to change the chart.
This chart is a good way to look at the popularity of different categories in your auction.
If there is equal supply, interest, and demand in a category, views/bids/number of lots should be the same height (and determined by the number of lots). When they are different, you can get some interesting info from this graph.
For example, categories with more bids are likely to be in higher demand, especially if views are lower. Categories with lots of views but no bids may be something people are curious about, but don't actually want. To wit: What's this tequila fish? Oh, it's a gray livebearer, never mind.
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