Financial Indicators for Startups at Different Stages
mattermark.com
mattermark.com
> Generally, I think controlling expenses is a lot easier than figuring out how to make more money.
A key point. If your salary is coming out of future predicted revenue growth, and that growth doesn't happen, your expense is going to be controlled.
I'm not suggesting startups shouldn't be aggressive with spending, nor suggesting employees shouldn't take risks when joining startups. But you should ensure that, as an employee, you are compensated for the risk you are taking. And this graph is a great way to see exactly how aggressive the startup is being with their spending.
> But you should ensure that, as an employee, you are
> compensated for the risk you are taking.
"Oh no I lost my job" risk is already priced into current market-rate salaries. A startup may have a greater chance of laying off an employee, but the risk to the employee must also consider how quickly they're able to get another job at market rates. If the job market is tight, the risk is much lower.What is unwise is to accept less than a market rate salary plus deferred compensation without thinking like an investor. At the very least one should consider how much their time is worth relative to the cost of investing, i.e. "H hours of my time at market rates is worth $D, therefore if I were investing $D of my time into this startup I'd receive C common shares."
Well that's up to me, as the risk-taker. Isn't it? Why should I let 7S-ymVNwEwE- decide that?
For further reading I highly recommend SaaStr.com which is a blog on SaaS and helpful for most recurring revenue type businesses. I also think it is wonderful to work with an accountant, and once you start getting revenue it is worth it. We waited a long time to do this (which is part of why I know as much as I do about this stuff) and that was probably a mistake, as it made a lot of cleanup work for us later on. Hope that helps, good luck with starting your company!
[0] http://www.forentrepreneurs.com/saas-metrics-2/ [1] http://www.forentrepreneurs.com/saas-metrics-2-definitions/
Which brings me to an interesting point. What happens if your SaaS offering explodes and it appears you should be charging much more for your product? Perhaps even 2-3x with no appreciable loss of customers. For the example of MM, the $500/mo recurring may start to seem low in the coming year as the amount of data and ai features increase. Furthermore, the market is somewhat finite (dealmakers). Can they get away with increasing fees by a large multiple year over year? And if not where will additional revenue come from as its concievable they will need to add more (expensive) data science talent to grow.
As an employee, should you know your own company's burn rate each month for example?
If the company will not answer those questions, that in itself is useful data for guiding your decision making. :)
But what about if you're already working at the company? Should you periodically ask this information or should founders be sharing it?
Cash on hand, burn rate / break even point, revenue growth, and I believe even Valuation metrics are relevant to all companies all the time - even if you're two guys in a truck building fences and wondering what one comma on your ATM slip might feel like.
In particular, that bookings come before sales come before cash, and that the three are reported independently.
My interpretation of this was that bookings == 'contractually agreed upon commitments to buy' (basically, sales), and then revenue flows thereafter, so if I sold a million dollars, and had $200k of churn in june, my June bookings would be $800k.
Are you referring to a 'sale' as some sort of 'customer has stayed past a probation period and the salesman is eligible for a commission' point? I'd love to have this cleared up.
Depending on the organisation, sales staff can be paid at different times in that pipeline. And unsurprisingly there's dropoff at each stage.
I guess I should end by pointing out that I am not an accountant and this isn't accounting advice.
This comment surprises me a little. Have you ever met a serious investor that doesn't know the difference?
If they do want to do some properly backtested analysis of the predictive value of various financial indicators versus expected value across many startups though, that would be great.