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5 Financial Forecasting Models and Examples of Use Cases - Baremetrics

Written by Jerusha Songate | May 4, 2021 12:00:36 PM

Financial forecasting models are used to predict financial outcomes within a specified area of your business, like recurring revenue or payroll. These models then feed into the overall financial model for your SaaS business.

Adopting this approach provides you with invaluable insights into your subscription-based business, helping you calculate costs, improve budgeting, and allocate resources. 

In this article, we’ll have a closer look at five different forecasting methods and present examples of use cases.

Try Baremetrics for free to learn more about how your company could benefit from financial modeling.

What Is Financial Forecasting?

Financial forecasting is trying to predict financial outcomes for an organization. Having access to a prognosis helps decision-makers create meaningful strategies and make critical decisions about corporate development.

One of the most coveted numbers that most businesses want to predict is, of course, revenue. But financial forecasting can concern any business area, such as payroll, fixed costs, variable costs, income statements, balance sheets, and capital expenditures.

Many businesses try to create forecasts using Excel but often find that to create thorough financial analysis, financial planning, and long-term budgeting, they need something more advanced. 

Read more: How to Build a Financial Model

Here are five financial forecasting models to help you drive business growth:

1. Top-Down Financial Forecasting Models

This model can come in handy when you want to evaluate a new opportunity and you have no historical data to base your predictions on.

A top-down forecasting model can use the size of a new market as a point of departure and then make a forecast by estimating how much market share your business will be able to grab.

A top-down approach is primarily helpful in the initial phase when you want to evaluate new growth opportunities. 

Read more:The Best Financial Modeling Software for SaaS in 2021

2. Bottom-Up Financial Forecasting Models

If you have access to historical sales data or financial statements, it makes sense to go about your forecasting from the bottom and up. Then you use your existing sales numbers and cash flow statements as the input for calculating future scenarios.

This method will usually be more accurate and more detailed since you are working with actual numbers, so you reduce the assumptions. 

Interested in how your business can benefit from a modern tool for financial modeling? Try Baremetrics for free!

3. Delphi Forecasting Models

The Delphi method is a model where you get your forecast from a group of experts, leveraging a facilitator and continuously collaboratively iterating on hypothesis and analysis to reach a consensus opinion.

A series of questionnaires form the basis of this process, where every questionnaire builds on the previous iteration. This is an efficient way to make sure the entire group gets access to all information.

4. Correlation-Based Forecasting Models

Another way to look at financial forecasting is to identify correlating variables and track how they follow each other. This is a widespread financial forecasting model.

This way of predicting financial outcomes can help decision-makers understand make forecasts based on the relationships between prices and costs, supply and demand, and other factors that affect each other.

5. Statistical Forecasting Models

Statistical models (also called quantitative forecasting models) create relationships between the findings of other disciplines. This approach often uses Gaussian distribution analysis to fit financial inputs and attempts into a classic standard distribution curve.

This can help you figure out how your operation compares to other similar businesses, and you can use this method for benchmarking., growth rate, profitability, and decision-making. 

Read more:The New Era of SaaS Forecasting

Power Laws in Financial Forecasting

Power laws represent a complex and challenging analytic model that is sometimes used in financial forecasting models. They are mathematical functions describing proportional movements between assets.

Power laws are prevalent in the stock market and corporate finance, where they are popular because of their ability to highlight and break down specific momentum trends quickly.

The knowledge derived from using the Power laws approach can be an excellent guide for resource allocation, capital purchases, marketing, and other types of similar internal investments.

Interested in learning more about how you can grow your SaaS company’s revenue?

Read our article: How To Improve Revenue Growth

How Baremetrics Can Help!

Financial forecasting models are an attempt to look into the financial future of a business and estimate what that future will hold. There is never 100% accuracy in the results, unlike working with a financial analyst.

However, financial forecasts are an essential tool in budgeting and growth planning and when making financial decisions.

Baremetrics optimizes forecasting with a broad range of real-time metrics for churn, MRR, cost of acquisition, business valuation, and other key performance indicators that pertain to financial performance.

The result? SaaS and subscription-based companies like yours make more efficient business decisions and create profitable growth strategies. Investing in this forecasting software is a great way to maximize the impact that resource allocations have on your company’s bottom line. 

Building a comprehensive, growth-focused financial model takes some work and effort to do. But it’s an investment that is worthwhile since the benefits of reliable financial data predictions are critical to growing your business.

Try Baremetrics for free to learn more about how your company could benefit from solid financial modeling.