The Pulse and NorthStar are all about computational intelligence and data-driven solutions but what if your business doesn’t have access to a team of analysts or expensive forecasting software?
A good and simple method that can help your business is the 3-Month Moving Average (3MMA), a simple yet powerful forecasting tool that can benefit businesses of all sizes, from mom-and-pop shops to larger SMEs.
The 3-Month Moving Average is a statistical method used to smooth out short-term fluctuations in data and highlight longer-term trends.
It works by averaging the actual values from the last three months to predict future performance.
For example:
If your sales in January, February, and March were
£500
£600
£700
Your 3MMA for April would be:
3MMA= (January + February + March)/3
which becomes
(£500+£600+£700)/3=£600
This gives you a clearer picture of where your business is heading without being swayed by one-off spikes or dips. Does it account for seasonality and sudden changes? No, but it can be a good starting point to start understanding what to expect in the short term, especially when one is missing historical data. So, why use this specific model?
For Smaller Businesses
Even the smallest businesses generate data—whether it’s daily foot traffic, weekly sales, or monthly expenses. The beauty of the 3MMA lies in its simplicity:
For Larger SMEs
For SMEs generating over £1 million annually, the stakes are higher—but so are the opportunities. Here’s how the 3MMA can scale to meet their needs:
Let’s look at two scenarios—one for a small café and another for a mid-sized e-commerce company—to see how versatile this method can be.
Scenario 1: a small Café
Imagine you run a cosy café with modest monthly revenue.
Your sales figures for the past few months are as follows:
| Month | Sales (£) |
|---|---|
| January | £2,500 |
| February | £2,800 |
| March | £3,000 |
Using the 3MMA formula:
3MMA for April=£2,767
This tells you that your expected sales for April should hover around £2,767. With this knowledge, you can adjust your inventory orders, schedule staff shifts, and plan promotions accordingly.
Scenario 2: The E-Commerce Store
Now imagine you manage an e-commerce store with monthly revenues exceeding £800,000. Your sales data looks like this:
| Month | Sales (£) |
|---|---|
| January | £850,000 |
| February | £900,000 |
| March | £950,000 |
Calculating the 3MMA:
3MMA for April=£900,000
With this forecast, you can confidently allocate budgets for ad campaigns, negotiate bulk discounts with suppliers, and prepare for peak seasons. How can you use it? Firstly you can avoid stressing out your team if you see a sudden -20% sales compared to the previous month, or, if you see a -20% of the same time the previous year. It surely helps you contextualise.
While the 3MMA can be very useful, it’s not a magic bullet. Here are some limitations to keep in mind:
To address these limitations, many businesses combine the 3MMA with other forecasting methods, such as exponential smoothing or trend projection models.
Ready to take your forecasting game to the next level? Our comprehensive e-book dives deep into advanced techniques like:
Each chapter includes step-by-step instructions, real-world examples, and downloadable Excel templates, all designed to help you implement these methods seamlessly.
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