For B2B startups the large amount of capital raised usually goes mostly to sales & marketing. The calculus usually goes something like this:
"I've got an existing product that I know enterprises want to buy. For every $50K I put into consultative sales, I'll sign a client whose LTV is $500K. Therefore, if I raise $100M for 10% of the company, I can hire more salespeople, increase the future earnings of the company by $1B, and hence all our existing shareholders will be better off and so will the new investor." Repeat until the target market is saturated, which for software startups can be a long way off.
This is why SaaS startups usually run at negative profits, even after they go public, and yet the majority of public investors still continually undervalue them (as in their value goes up over time). You have a machine where you put in $X and get back $5-10X over time, but the time period is usually many years. It makes sense to feed the machine with as much $$ as you have, and oftentimes some $$ that you don't have.
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That is a lot of money to raise for an established technology. Sounds like they might be standing up their own cloud?
For B2B startups the large amount of capital raised usually goes mostly to sales & marketing. The calculus usually goes something like this:
"I've got an existing product that I know enterprises want to buy. For every $50K I put into consultative sales, I'll sign a client whose LTV is $500K. Therefore, if I raise $100M for 10% of the company, I can hire more salespeople, increase the future earnings of the company by $1B, and hence all our existing shareholders will be better off and so will the new investor." Repeat until the target market is saturated, which for software startups can be a long way off.
This is why SaaS startups usually run at negative profits, even after they go public, and yet the majority of public investors still continually undervalue them (as in their value goes up over time). You have a machine where you put in $X and get back $5-10X over time, but the time period is usually many years. It makes sense to feed the machine with as much $$ as you have, and oftentimes some $$ that you don't have.
So a small company making some software is now transformed into another b2b huckster leech on the fat pigs that are the fortune 500 rent seekers?
Ugh, this economy.