Excel Forecasting for SaaS Startups: A Complete Guide

Making a forecast in excel for metrics in a StartUp is not easy, here we tell you how. Would you like to have a clear idea of how much you have to sell to be profitable? Do you want to plan your budget and future expenses effectively? Whether you want to or not, this is key for a StartUp and you will have to do it if or if not.

Excel is an invaluable tool for any SaaS startup looking to have a clear and accurate view of its future cash flow. With the help of Excel, you can create detailed financial forecasts that will allow you to make informed strategic decisions for the future of your business. These include sales forecasting, budget forecasting and resource planning. In this post, we’ll show you how to use Excel to create robust and accurate financial forecasts for your SaaS startup.

We will delve into the different types of forecasting models that can be used in Excel and how to use them effectively. In addition, we will show you how to forecast in Excel, how to use forecast templates and how to create a forecast that updates automatically. This way you will make well-informed financial decisions and succeed in the competitive world of online business.

How to make a startup forecast in Excel

Excel offers several built-in models for making predictions with data.

These models include linear regression, exponential smoothing, moving average, etc.

Linear regression is used to identify the relationship between two variables, while exponential smoothing and moving average are used for time series data.

Each model has its strengths and weaknesses, and choosing the appropriate model depends on the type of data and the prediction objective. For example, if the data show a linear relationship between two variables, such as revenue and ad spending, then linear regression might be the most appropriate model to use. On the other hand, if the data show a trend over time, such as sales figures, then moving average or exponential smoothing might be more appropriate.

StartUp Forecast Metrics in Excel

To make a forecast in Excel, you must first organize the data in a way that is appropriate for the forecasting model you want to use. This may involve cleaning and formatting the data, removing outliers, and identifying trends.

Next, we must select the appropriate model and enter the data into it. Excel will then generate a forecast based on the data that has been added. It is important to keep in mind that a forecast is only as good as the data used to generate it. Therefore, it is essential to ensure that the data is accurate and up to date. It is also important to consider the limitations of the forecasting model being used, as some models may be better suited to certain types of data than others.

Sales Forecast for startups in Excel

Excel offers many templates for forecasts, including a sales forecast template. This template is very useful for businesses, as it allows them to create a sales forecast quickly and easily. In addition, this template includes built-in formulas that make it easy to create an accurate and reliable sales forecast.

When using the Excel sales forecast template, you can customize it according to your company’s needs. For example, you can add additional data points, such as your company’s sales history or competitor information, for an even more accurate forecast.

The Excel sales forecast template includes fields for product or service name, unit price, quantity sold and total revenue. By entering data in these fields, you can generate a sales forecast for your company. In addition, you can also use this template to compare forecasts with actual sales and make adjustments accordingly.

The Excel sales forecast template is a very useful tool for any company that wants to create an accurate and reliable sales forecast. With its built-in formulas and ability to customize it to your company’s needs, this template is an easy and efficient solution for sales forecasting.

Continuous Forecasting in Excel

A rolling forecast is a technique that involves updating the forecast on a regular basis. It is useful for companies operating in dynamic environments, where the future is unpredictable. Excel provides a simple and effective way to create a rolling forecast, by using the OFFSET function and dynamic ranges. With these functions you can create a forecast that is automatically updated based on the latest data.

A continuous forecast can help companies stay on top of changing market conditions and make timely adjustments to their plans.

Advanced Forecast Techniques for Saas in Excel

Excel also offers several advanced forecasting techniques that can help companies make more accurate predictions. These techniques include regression analysis, time series analysis and Monte Carlo simulation.

Regression analysis is used to identify the relationship between multiple variables. However, time series analysis is used to identify patterns and trends over time.

Monte Carlo simulation is a statistical technique that uses random sampling to generate a variety of possible outcomes.

These advanced techniques can be useful for companies that have complex data and want to make more detailed predictions.

Best Practices for making MRR projections in Excel

To get the most out of the Excel forecasting tool, it is important to follow some best practices. Some of them are:

  • Use accurate and up-to-date data.
  • Choosing the right forecasting model for your data
  • Cleaning and formatting your data before entering it into the model
  • Use templates and automation to save time
  • Regularly reviewing and adjusting your forecasts based on new data
  • Consider various scenarios and outcomes.

By following these best practices, you can improve the accuracy and reliability of your forecasts and make more informed decisions for your business.

Problems with Forecasting in Excel or Google Sheets

When it comes to forecasting in Excel or Google Sheets, there are several challenges that users may face. One of the most significant is the potential for manual errors to be introduced during the forecasting process. This can be especially problematic if there are large amounts of data involved or if the user is working under a tight deadline.

Another problem that can arise is the use of incorrect data or formulas. This can happen for a variety of reasons, such as data entry errors or lack of clarity around the formulas being used. Regardless of the cause, the result is the same: inaccurate forecasts that can lead to poor decision making.

To avoid these problems, it is important to take steps to minimize the potential for manual errors and review all data and formulas before finalizing a forecast. In addition, it may be helpful to use automated tools or software to assist with forecasting tasks. These can help reduce the risk of errors and ensure that forecasts are as accurate as possible.

By taking these steps, users can improve the accuracy and usefulness of their forecasts, and make better decisions as a result.


Excel is a powerful tool that will allow you to create accurate and detailed financial forecasts. This will give you the ability to make informed strategic decisions for the future of your business. By implementing these financial forecasts into your planning, you will be able to get a clear picture of your future revenues, expenses and budgets. You’ll be one step ahead in the competitive world of online business. Remember, financial planning is key to the success of your Saas Startup, and Excel is the perfect tool to help you reach your goals. Now is the time to start working on your financial plan and make your business goals a reality.