Good to see this written up. Yours is prospective — expected profit against grading cost and turnaround, run before you submit, to pick the tier. I do something adjacent but retrospective: realised profit per day across the full hold from purchase to exit, calculated at the point of sale. Been running it for several years. One picks the play, the other scores it.
Do you ever check your prospective estimates against how those submissions actually turned out?
Including time to sell/hold/etc is a great way to look at it.
In the context of Daily Yield, at the moment I mostly look at that to help me figure out which cards to prioritize and what level to send them at (before I did this, my cheapskate mentality meant I often sent cheap to maximize ROI while ignoring the values of compounding profits).
I do track the time between when I list a card for sale and when it moves (sell-through rate) so I can gauge on that side as well. I should probably look at incorporating a couple all-encompassing metrics (time from purchase -> sold, daily yield from purchase -> sold), but for now the two individual metrics are enough to help me find targets, and then identify what moves well and what doesn't.
Makes sense — that's the more useful setup while you're picking targets. Mapped out, the chain is purchase, arrival, submission, grading, return, listing, sale, and the two metrics cover two of those stretches. The direction of the full number is obvious enough. What I'd be curious about is the size of the shift.
Great stuff here, thanks for sharing. Lately I'm chasing the biggest return without thinking about the time invested in it, and this was a good reminder to slow down and look at the whole picture.
Good to see this written up. Yours is prospective — expected profit against grading cost and turnaround, run before you submit, to pick the tier. I do something adjacent but retrospective: realised profit per day across the full hold from purchase to exit, calculated at the point of sale. Been running it for several years. One picks the play, the other scores it.
Do you ever check your prospective estimates against how those submissions actually turned out?
Including time to sell/hold/etc is a great way to look at it.
In the context of Daily Yield, at the moment I mostly look at that to help me figure out which cards to prioritize and what level to send them at (before I did this, my cheapskate mentality meant I often sent cheap to maximize ROI while ignoring the values of compounding profits).
I do track the time between when I list a card for sale and when it moves (sell-through rate) so I can gauge on that side as well. I should probably look at incorporating a couple all-encompassing metrics (time from purchase -> sold, daily yield from purchase -> sold), but for now the two individual metrics are enough to help me find targets, and then identify what moves well and what doesn't.
Makes sense — that's the more useful setup while you're picking targets. Mapped out, the chain is purchase, arrival, submission, grading, return, listing, sale, and the two metrics cover two of those stretches. The direction of the full number is obvious enough. What I'd be curious about is the size of the shift.
Great stuff here, thanks for sharing. Lately I'm chasing the biggest return without thinking about the time invested in it, and this was a good reminder to slow down and look at the whole picture.
Glad it was helpful. For me, this metric was what forced me to ditch my "send at the cheapest level I can to maximize ROI" mentality. :)