In this series you will learn everything you need to know in order to model an early stage software and service startup.
The material assumes basic knowledge of accounting and corporate finance because the first accounting class and the third valuation class are not included.
The series offers over 4 hours of MBA-level finance lectures, 200+ practice questions, and a complete downloadable functional financial model for a fictional startup with subscription and advertising revenue streams. All other PowerPoint and Excel materials are available for download as well.
If you buy this package, you get $25 off vs. buying each course individually.
All PowerPoint and Excel materials are available for download immediately after purchase. You also have lifetime access to the video content and practice questions.
What if you are confused?
Finance can be scary, do not worry - we are here to help you every step of the way. There are two levels of help we offer:
1. For the first 90 days after enrollment, you will have access to a private Facebook group where you can interact with other students and ask us questions.
2. If you need more support, you can also ask Victoria questions by email.
The series teaches you:
1. Modeling basics: How to formulate assumptions for seven business models that prevail in early stage software and service startups. Specifically, we will cover:
A. How to formulate pricing and marketing strategy for your company.
B. The business model analysis roadmap that will help you analyze the business model for your business.
C. How to formulate assumptions for seven business models for early stage software and service startups. All important business scenarios will be modeled and can be downloaded in an Excel file.
D. How to formulate assumptions and model most common business scenarios for the following business models: Subscription/ SAAS model, Advertising model, Software product model, Freemium model (in-app purchases for mobile apps), Marketplace/platform model, Data model, and Services model.
2. A comprehensive case study for an early stage software startup with the resulting financial model included. Specifically, you will learn:
A. How to formulate assumptions for pricing and marketing strategies for each revenue stream.
B. How to model pricing and marketing strategies for each revenue stream.
C. How to formulate cost assumptions and assumptions for working capital and fixed assets.
D. How to create proforma financial statements.
E. How to determine the company's funding needs and valuation.
F. How to create financial summary and perform break-even analysis.
The resulting model, available for download, contains the following:
A. Monthly revenue projections for each revenue stream.
B. Monthly variable and dynamically determined operating costs.
C. Yearly salaries and overhead costs.
D. Monthly working capital and fixed asset projections.
F. Annual income statement, balance sheet, and cash flow statement.
G. Valuation and funding needs.
H. Break-even analysis and financial summary.
I. Customer lifetime value calculation for each revenue stream.
Victoria Yampolsky, CFA, is the President of the Startup Station, a finance & strategy consultancy for early stage startups. She evaluates financial feasibility of business models and specializes in the financial modeling and valuation of pre-revenue companies. Since founding the Startup Station in 2013, she has advised companies across more than ten industries, ranging from technology, manufacturing, and consumer products to media, entertainment, and fashion.
She has also created a finance curriculum for early stage founders and launched the educational arm of the Startup Station in 2015. Since then, more than 1,000 founders have attended online and in-person finance classes and learned the basics of financial modeling, valuation, and startup financing.
Victoria is an advisor to DreaMe, Opkix, and Stringflix, as well as a founder of several ventures in media and entertainment. Previously, Victoria worked for the Deutsche Bank Research Department and performed IT consulting for CapGemini's Financial Services Division. Victoria holds a Bachelor's Degree, Cum Laude, in Computer Science, with minor in Mathematics, from Cornell University and an MBA, with honors, from Columbia Business School. Victoria is also on the Advisory Board of the CIS Department of Cornell University.