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Financial Modeling for Startups: An Introduction

fivecastfinancial.com

11–20 of 34 posts

Re: Financial Modeling for Startups: An Introduction

#11

This is great. If you like this sort of thing you can go one step down the modeling path and take a great coursera course called “Model Thinking” [1] which totally gave me a different appreciation for spreadsheet nerdery (you use lots of different tools). 1. https://www.class-central.com/course/coursera-model-thinking...

Why is it linked to an affiliate website and not coursera itself?

EDIT: here the original coursera link: https://www.coursera.org/learn/model-thinking

Re: Financial Modeling for Startups: An Introduction

#12
When I had to produce my first financial documents like this, I went out and looked at public companies that had similar enough business models to mine, and read all their annual reports. Then I figured out what metrics are worth tracking or that I wanted to track, and pretty much just copied their methodology (which they described in their statements).

Another thing worth considering, if you hate The Sheet, or if it’s getting out of control, considering putting your data into a database and reporting with redash. It’s a also a very convenient way to share data internally.

Also, in my experience, the thing that mattered most was customer acquisition cost to lifetime value ratio.

Re: Financial Modeling for Startups: An Introduction

#13

Decent article, thanks for writing it. I think more founders should do a bit of financial modeling. That said, I think most founders should not be forecasting salary expenses on a per-position basis, even if they're under 100 employees. In my experience, you definitely won't know which positions you'll be hiring for further out than 1 year. If you're trying to impress investors it might work, but it will have limited…

I prefer the bottoms up expense buildup of people as opposed to a broad percent of total calculation as it introduces more discipline to the forecast and reduces risk of weird situations where sales go up by x% and all of a sudden you’re hiring 3 half people (in models I expect to see expenses go up in steps because that’s how they work in practice). Also gives insight into the mindset of the forecaster. For example do they assume 2 sales people can cover 300 accounts while building a pipeline without SDRs? I am an operator, not a VC so perhaps it’s an audience preference.

Re: Financial Modeling for Startups: An Introduction

#14

Decent article, thanks for writing it. I think more founders should do a bit of financial modeling. That said, I think most founders should not be forecasting salary expenses on a per-position basis, even if they're under 100 employees. In my experience, you definitely won't know which positions you'll be hiring for further out than 1 year. If you're trying to impress investors it might work, but it will have limited…

> That said, I think most founders should not be forecasting salary expenses on a per-position basis It is still very useful for variance analysis. Like, I made 100k, expected 120k...because x person cost more than expected and x person was hired early. It's nothing to get upset about, but it aids your understanding.

If you're forecasting at such a granular level 3 years in advance, your variances will be all over the place, which is not terribly useful to analyse. It won't be as per your example. It will be "I thought I'd hire one of person x, but instead ended up hiring 2 of person y, and delayed hiring z to compensate". The aggregate variance is what matters when you're doing a long term forecast.

A granular 12 month forecast is very useful for the reason you described, but we're discussing longer time horisons here.

Re: Financial Modeling for Startups: An Introduction

#15

Decent article, thanks for writing it. I think more founders should do a bit of financial modeling. That said, I think most founders should not be forecasting salary expenses on a per-position basis, even if they're under 100 employees. In my experience, you definitely won't know which positions you'll be hiring for further out than 1 year. If you're trying to impress investors it might work, but it will have limited…

I prefer the bottoms up expense buildup of people as opposed to a broad percent of total calculation as it introduces more discipline to the forecast and reduces risk of weird situations where sales go up by x% and all of a sudden you’re hiring 3 half people (in models I expect to see expenses go up in steps because that’s how they work in practice). Also gives insight into the mindset of the forecaster. For example…

I think it would be good to have a bottom up forecast for the first 12 months. Apart from that, a disciplined forecast will clearly show how the calculation was derived and what assumptions went into it. You should not have to dig through a bunch of data to gain insight into the mindset of the forecaster - the forecaster is supposed to put that info in the model! If they can justify year 1's sales expenses by mentioning that it's for 2 sales people + an SDR, then great! Just don't expect that granularity in year 3.

It's quite easy to avoid the "3.5 people" issue by making it a step function (i.e. rounding). Once again your assumptions become explicit, which is good. E.g. you might decide that one person can do the work of 1.3 employees (people can do this for a while when it's needed!) and round everything above that up to 2.

However, when forecasting 3 years in advance as in the article, the fact that your model has you hiring fractional people becomes less important.

Re: Financial Modeling for Startups: An Introduction

#18
Good brief summary but sometimes high level is just as important. eg. Using the tools to explain how you prioritize spending money raised and connecting it to material signposts is very helpful for funder communications as well as testing out your own ideas in a cohesive framework.

Re: Financial Modeling for Startups: An Introduction

#19
The issue is forecasting revenues.

Zoom in and the issue is forecasting unit sales.

Zoom in and the issue is forecasting new unit sales.

In the example, this line does a lot of the work in the model: "Forecasting New Subscriptions (line 10). We've just entered hardcodes here for simplicity, but these could be the result of calculations related to a marketing / sales funnel"

I submit that this single assumption will carry more weight than the rest of the model, and is the most difficult to forecast.

Re: Financial Modeling for Startups: An Introduction

#20

Decent article, thanks for writing it. I think more founders should do a bit of financial modeling. That said, I think most founders should not be forecasting salary expenses on a per-position basis, even if they're under 100 employees. In my experience, you definitely won't know which positions you'll be hiring for further out than 1 year. If you're trying to impress investors it might work, but it will have limited…

Pros and cons to each approach. I tend to recommend that it in the early days companies build up by employee, and then look at the metrics coming from the other direction as well to make sure everything makes sense (e.g. if you're forecasting that sales will triple, can you accomplish that with the hiring you've projected).

Main reasons for this are:

- It enforces discipline. It's easy to make hand-wavy assumptions like forecasting costs as a % of sales and calling it a day

- Small changes to the hiring plan can have a drastic impact on a startup's finances, including the timing of those hires

- If you tether all your expenses to sales, you can't really explore the downside, because you'll always be showing consistent profit margins

To your point though, I agree that it's important to look at expenses both bottom up and top down.

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