Best Sales Forecasting Methods for Accurate Business Predictions

Let's face it: sales is a bit like weather forecasting. Sometimes, it's sunny and clear, and deals pour in. Other times, it's cloudy and stormy, and closing a deal feels like climbing Mount Everest in flip-flops.

A reliable sales forecasting method is your weather report for the sales world. It helps you prepare, anticipate, and make informed decisions. But with so many options, how do you choose the one that's right for you?

We'll break down some common ways to forecast sales and help you choose the right one for your organization—without all the confusing business lingo!

What is sales forecasting?

Sales forecasting is simply predicting how much money your company will make. It’s like guessing how much lemonade you’ll sell at your lemonade stand based on what you sold last week, plus any new customers you think might show up.

Why is this important? It helps your business:

• Set realistic goals.
• Manage money and resources.
• Get ready for busy times or slow seasons.

However, not every company is the same, so different businesses use different ways to forecast sales.

Why choosing the right method matters

How you forecast your sales matters because it affects how you plan for the future. The better your prediction, the better you can prepare. Let's dive into some simple sales forecasting methods and see which might work best for your organization.

1. Historical sales forecasting

This is one of the easiest ways to forecast sales. Historical forecasting means looking at how much you sold in the past and guessing you'll sell about the same in the future.

Benefits:

• Easy to do.
• It works best if your sales are steady year after year.

Example:

If you made $100 every month last year, you'll make about $100 every month this year, too.

When to use it:

• Sales don't change much if your business has been around for a while.

2. Pipeline-based forecasting

This method looks at your current sales pipeline—the list of deals you're working on—and predicts how many deals will close (make money).

Benefits:

• Real-time: You’re looking at deals in progress.
• Great for companies that sell products or services with long decision times (like buying a car).

Example:

You know you have five deals in the works, and you estimate that two of those will close based on their progress. This gives you a good guess of how much money you’ll make soon.

When to use it:

• When you have a list of deals or sales opportunities, and you want to predict future revenue based on those.

3. Multivariable forecasting

This one is a bit more complicated but very accurate. Multivariable forecasting looks at lots of different things—like past sales, current deals, and even outside factors like the economy.

Benefits:

• Combines different factors to give a more accurate prediction.
• Great for companies in industries that change quickly.

Example:

A tech company might use multivariable forecasting by looking at its current deals, customer trends, and competitor actions to guess how much it’ll sell in the next quarter.

When to use it:

• When your industry is unpredictable, you have lots of data to work with.

4. Intuitive (gut feeling) forecasting

Sometimes, experienced salespeople just know what will happen based on their gut feeling. While this isn’t based on hard data, it can be helpful when there isn’t much data.

Benefits:

• Quick and easy to use.
• Relies on experience and knowledge.

Example:

A store owner might predict holiday sales will jump based on their years of experience, even if they don’t have exact numbers to back it up.

When to use it:

• When you don’t have much data or when sales depend on unpredictable factors.

5. AI-powered forecasting

Thanks to technology, AI can help you forecast sales by analyzing tons of data quickly and accurately. It looks at past sales, market trends, and customer behavior to predict future sales.

Benefits:

• It is very accurate because it uses lots of data.
• Constantly improves itself as it gets more data.

Example:

To forecast sales, an online store might use AI tools to look at customer browsing habits, past purchases, and upcoming promotions.

When to use it:

• When you have a lot of data and want a highly accurate prediction.

How to choose the best method for your organization

To choose the proper forecasting method, ask yourself these questions:

1. How big is your company? Small businesses might use simple methods like historical forecasting, while larger companies can handle more complex methods like AI.
2. How complicated is your sales process? If it’s quick and straightforward, historical or intuitive forecasting might work. If it’s long and complex, try pipeline-based or multivariable forecasting.
3. Do you have lots of data? More data means using more advanced methods like multivariable or AI-powered forecasting.
4. How fast does your market change? If things change significantly in your industry, you’ll need more accurate methods like AI-powered forecasting.

Pick what works for you

Sales forecasting is all about finding the best method for your business. Intuitive or historical forecasting might be enough if you're a small company with simple needs. But if you're a larger company dealing with lots of data, AI or multivariable forecasting could give you the insights you need to grow.

Regardless of your chosen method, forecasting helps your business plan better and make smarter decisions for the future.