Revenue projections estimate your company’s revenue over a specific period of time. These projections use historical data and market trends to predict future income.

Businesses use revenue projections to support financial planning and make informed decisions about growth. Accurate projections help companies identify potential cash flow issues early and protect overall financial health.

Revenue projections vs. revenue forecasts: What’s the difference?

Revenue projections and revenue forecasts are often used interchangeably, but they serve slightly different purposes.

• Projections usually look farther ahead and are based on bigger assumptions about growth and the market.
• Forecasts cover a shorter time frame and lean more on recent results and current data.

The distinction matters most for planning. Use forecasts when you need detailed predictions for the next quarter or year, and use projections when you’re making long-term strategic decisions or presenting growth potential to investors.

Accurate revenue projections help your company prepare for what’s coming and drive informed decision-making that maximizes stability and growth.

Revenue projections are used by SaaS businesses to:

• Improve cash flow forecasting: Know whether you’ll have capital for new initiatives or need to adjust spending.
• Decide on sales team quotas: Use a sales forecast to set realistic targets that align with company goals and keep your team motivated.
• Drive marketing strategies: Determine which marketing campaigns and retention programs will have the biggest impact on revenue growth.
• Formulate a better-performing business plan: Identify strategy weaknesses and adjust before problems affect your bottom line.
• Scale your business: Plan expansion at the right pace with confidence that you have the revenue to support it.

Accurate revenue projections set your SaaS company up to allocate resources properly, understand revenue potential, and reach your goals.

Revenue projections are only as good as the data behind them, so protecting data quality is key to forecasting accuracy. Tracking the right metrics and using SaaS benchmarks gives you the foundation to create reliable forecasts.

• Monthly Recurring Revenue (MRR): Shows your predictable revenue stream each month and helps you spot growth trends or warning signs early.
• Annual Recurring Revenue (ARR): Gives you a big-picture view of subscription revenue for annual budgets and long-term strategy.
• Customer Acquisition Cost (CAC): Reveals how much you’re spending to gain each customer so you can assess whether your growth is sustainable.
• Customer Lifetime Value (CLV): Shows the total revenue you can expect from a customer relationship and helps determine how much you can spend on acquisition.
• Churn Rate: Measures how many customers you’re losing and directly impacts whether your projected growth will materialize.
• Expansion Revenue: Tracks additional revenue from existing customers through upgrades and add-ons.

These SaaS metrics paint a complete picture of your revenue health. Once you understand what each reveals, you can use them to calculate accurate revenue projections.

To generate accurate revenue projections, take the difference between your company’s projected income and projected expenses. Use this formula:

Projected revenue = Projected income – Projected expenses

Here’s how to calculate each component:

1. Estimate projected income

Start by establishing a baseline for how much product or service your company will sell during a specific time period. This requires understanding your company’s performance history and your insight into industry and market conditions.

For subscription businesses, identify which tiers perform best and look at seasonal patterns to determine peak revenue months. Use this data to create realistic income estimates.

2. Estimate projected expenses

Income tells an important part of the story, but you need to account for what it costs to generate that revenue. Determine the technology and labor cost per subscription, then multiply by your projected subscription count.

Add fixed costs like salaries, office expenses, and software maintenance. Don’t forget variable costs that scale with growth, such as customer support and server capacity.

3. Apply the projected revenue formula

Subtract your projected expenses from your projected income. The result is your projected revenue for the time period you’re analyzing.

To generate accurate revenue projections, take the difference between your company’s projected income and projected expenses. Use this formula:

Projected revenue = Projected income – Projected expenses

Here’s how to calculate each component:

1. Estimate projected income

Start by establishing a baseline for how much product or service your company will sell during a specific time period. This requires understanding your company’s performance history and your insight into industry and market conditions.

For subscription businesses, identify which tiers perform best and look at seasonal patterns to determine peak revenue months. Use this data to create realistic income estimates.

2. Estimate projected expenses

Income tells an important part of the story, but you need to account for what it costs to generate that revenue. Determine the technology and labor cost per subscription, then multiply by your projected subscription count.

Add fixed costs like salaries, office expenses, and software maintenance. Don’t forget variable costs that scale with growth, such as customer support and server capacity.

3. Apply the projected revenue formula

Subtract your projected expenses from your projected income. The result is your projected revenue for the time period you’re analyzing.

Most companies have more than one revenue stream and need multiple ways to predict how each of them will perform. Let’s review some of the data you can use in revenue forecasting.Most companies have more than one revenue stream and need multiple ways to predict how each of them will perform. Let’s review some of the data you can use in revenue forecasting.

SaaS revenue from existing contracts

Each existing contract will have a revenue schedule, which typically runs through the end of the present term, but there are plenty of exceptions. This schedule includes fees for subscription services and other items accountants determine must be recognized over time. In addition to the scheduled revenues, you need to include any variable, transaction, or usage fees. Typically, these are calculated, recognized, and often billed in arrears.

Revenue from renewal contracts

To generate accurate revenue projections, you must also project renewals.

These projections are typically created using a simple renewal rate or churn number. A more sophisticated approach is to use different renewal rates for different segments. The most accurate approach, if your business supports it, is to project individual contracts. This is only possible if you have either a limited number of contracts and sufficient customer interaction to gauge customer health, or you have an algorithmic-based approach based on actual usage information pulled from your application.

Revenue from new contracts

Projections using revenues brought in from new sales can include a contract’s value during the period, one-time charges like set-up fees, and subscriptions.

You can lay the groundwork for this projection by pulling sales pipeline data from your CRM). This information will show you how much new business is percolating in your sales funnel. You can combine this number with other metrics like last year’s new contract revenue and forecasted growth rate to create a revenue schedule.