Stats for TFCB Annual Auction


Users

Sellers30
Buyers43
Users who bought or sold at least one item50
Users who confirmed a pickup location83

User engagement

Number of users who viewed lots, logged in, bid, and won lots in this auction.
In order for the auction to succeed, users must
  1. Visit the site
  2. See a lot they like
  3. Sign up for an account
  4. Place a bid
  5. Up their bid if they are outbid
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.

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.


Lots

Total lots293
Unsold lots43 (15%)
Sold lots250
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.

Category popularity

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.

View rules Download CSV Report