1. It comes from the concept of 'causal inference' in statistics[1] — when we started out, we though the product would go in a much technical/statistical direction, but we were very wrong about that But 'causal' as a word is still relevant to modelling, etc.
2. Fair question haha. While a majority of our customers are startups/tech cos, a bunch of our customers are also non-tech small businesses (e.g. small agencies/consulting firms in various niches). Interestingly, we found that after the economy went down 18 months ago there seemed to be more demand for Causal from smaller companies (startups + regular SMBs) — our guess is that staying on top of finances is important when things are tough, and less important when there's tonnes of cash flying around!
2. Fair question haha. While a majority of our customers are startups/tech cos, a bunch of our customers are also non-tech small businesses (e.g. small agencies/consulting firms in various niches). Interestingly, we found that after the economy went down 18 months ago there seemed to be more demand for Causal from smaller companies (startups + regular SMBs) — our guess is that staying on top of finances is important when things are tough, and less important when there's tonnes of cash flying around!
[1]: https://en.wikipedia.org/wiki/Causal_inference