How to Calculate Unit Sales for Your Business
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In the dynamic world of retail, you need to keep a finger on the pulse of key performance indicators (KPIs). One vital KPI directly correlates with a business's financial health, operational efficiency, and strategic position. I'm talking about unit sales, a mission-critical component of any data-driven approach to accounting. In this article, I'll cover how to calculate unit sales, what they mean in your business's context, and how to overcome some of the more common calculation challenges.
Understanding Unit Sales
Unit sales are the total sales of a specific product in a given accounting period. This seemingly simple KPI permeates all aspects of a company's customer-facing marketing efforts. It's one that astute CFOs will approach with urgency and direct action. Without it, your sales team will have limited visibility into any product's total sales in any distribution channel.
Unit sales serve as a barometer for gauging the profitability of your business's products. Higher unit sales can indicate a healthy demand for the product, the success of your existing marketing strategies, and overall efficiency. Lower unit sales, on the other hand, can potentially signal decreased market demand, increased competition, or lagging operational performance.
For a one-on-one explanation of unit sales and for help calculating them using your business's unique data, contact me to schedule some to talk.
The Difference Between Unit Sales and Sales Volume
Unit sales refer to the total number of units sold, whereas sales volume quantifies the total number of units sold in a common category (e.g., yards or pounds).
The Intricacies of Unit Sales in Retail
The importance of unit sales stems from its ability to influence multiple key aspects of business operations, including the following:
Pricing strategies
Profit margins
Number of products brought to market
The location where products are sold
Average selling price
Strategic decision making
Range determination
Stock management
Just as unit sales informs many business processes, it is also informed by many others. For example, a strong pricing strategy to empower a startup location to undercut the competition can resonate with customers and drive higher unit sales. Conversely, heightened competition at the hands of competitors with far more liquid cash flows can depress unit sales.
In the former case, this data will signal that something's right. In the latter case, it signals that something is wrong. However, this intricate and far-reaching nature means that unit sales alone won't provide end-to-end visibility; that shortcoming is true of all single-KPI analytics. To resolve it, simply expand your view with additional metrics like return on assets and customer churn rate.
Price Per Unit and Unit Sales
Price per unit is one of the most important KPIs that affect unit sales. In general, a higher price will lead to fewer sales, and a lower price will lead to more sales. This is a direct, inverse relationship.
However, as the cost of goods sold changes, the gross profit over any given period will not necessarily decrease. For example, say the total number of units you sell in a fiscal quarter is 10,000. If your unit price is $5, you could actually be earning more in quarterly revenue by raising your unit price to $7, even if the number of units sold drops by 20%.
10,000 x 5 = 50,000
8,000 x 7 = 52,000
Considering your capital investment will reduce by the price of 2,000 units, assuming you adequately predicted this drop in quantity demanded, you'd be earning more and spending less.
Step-by-Step Process of Calculating Unit Sales
Accuracy in data is crucial, no matter which KPI you're targeting. Whether you're operating a small business or an enterprise business, preparing for this calculation positions you in a great place to conduct an audit of your financial data over the last year (if you have it). Once you do, follow these steps:
Define the time frame. This could be a year, a quarter, or even a month—though annualized quarters are a good place to start.
Identify the total number of units sold during the chosen timeframe. This information should be contained in standard sales reports.
Report your findings. If you sold 500 units during that period, your unit sales are 500.
If you sell multiple products, repeat these three steps for each.
Interpreting Unit Sales: What This Metric Means for Your Business
Interpreting unit sales involves more than just comparing figures. It requires a deeper understanding of industry benchmarks, the competitive landscape, market trends, and your business's specific context.
For instance, a drop in unit sales might at first sound concerning. However, when viewed against a backdrop of industry-wide decline due to economic recession or seasonal trends, you get a much less dire view of the situation.
I strongly recommend using a host of other KPIs to provide a more granular and contextual view of your data in addition to unit sales. If you need help selecting the right KPIs for your business context, I welcome you to contact me for expert advice and insights.
Contribution Margins, the Break-Even Point, and How to Adjust Your Selling Price
Contribution margins measure how much each unit sold contributes to a company's profits. This KPI is often included with unit sales on income statements due to its usefulness when determining how many units need to be sold to reach the break-even point.
The break-even point is when your total revenue equals your total costs. To calculate the break-even point, use the formula: Break-even point = fixed costs/contribution margin per unit. For example, production costs of $10,000 divided by a net gain of $2.50 per unit equals a break-even point of 4,000 net sales.
If the number of sales needed to meet the break-even point exceeds what you know to be realistic, it's time to reconsider your pricing structure. If you can only sell 2,000 units in a given period of time, you can calculate the ideal price by working backward.
Start by determining your fixed costs. Let's say it takes you $10,000 to produce those 2,000 units. Divide the fixed costs by the break-even units to find the required contribution margin. In this case, the individual sale price would need to be $5.00 to break even after 2,000 sales.
When to Consider a Variable Cost Approach
There are there reasons why a variable cost pricing strategy might be right for your business:
The majority of your production costs are variable.
You need the flexibility to make real-time adjustments to match frequent fluctuations in production.
Pressure from competition demands a change in pricing.
Consider the following example:
You meet your break-even point, but rising competition has been reducing your year-over-year gross margins. You decide to offer a promotional discount and sell the remaining products at cost, drawing in new business and reducing your competitor's overall sales.
Unit Sales and Sales Revenue Forecasting
Accurate revenue forecasts enable you to anticipate future income, manage cash flow, make investment decisions, and assess your business's overall financial health. This is particularly useful when you have access to both present and historical unit sales data.
By examining past sales trends and combining them with understanding current conditions, you can produce more accurate predictions of future sales. Consequently, you can predict future revenue.
For instance, a retailer might notice an uptick in sales every November and December over the last ten years. They hypothesize this uptick is due to consumer purchasing trends around the holiday season. Factoring this seasonality into their revenue forecast for the year can help prevent them from making unnecessary cuts after an unusually poor third quarter.
Unit Sales, Inventory Management, and Supply Chain Efficiency
Detailed unit sales reports can inform optimal inventory levels, offering more leeway when working with less resilient supply chains. This is most relevant when working to predict, prevent, or prepare for possible black swan events and ensuing shortages.
By monitoring unit sales trends, you can predict future demand patterns. This foresight allows for more accurate ordering and stock control, preventing overstock or understock situations.
Your business-to-business (B2B) buyers might find these analytics particularly useful for communicating with trading partners to resolve any challenges. With foresight into demand trends and a clear plan, you can manage warehousing needs and optimize logistics proactively rather than reactively.
Using Unit Sales to Inform Strategic Decision Making
A good business strategy requires accurate data. Financial analysis of previous accounting periods and KPIs like unit sales are critical elements of any strategic plan. These data inform pricing strategies, marketing strategies, investment decisions, divestment decisions, new market opportunities, and more.
For example, if unit sales increase following a price drop, that may indicate price sensitivity among consumers in your market. That price sensitivity can then be factored into future executive decisions, preventing a future pricing dilemma.
On the other hand, unchanging unit sales following a price rise could indicate that the consumers in your market don't have access to or aren't aware of substitute goods. This information could then back a push to increase prices and capitalize on higher temporary returns.
Case Study: How Amazon Leverages Unit Sales for Business Growth
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Amazon meticulously tracks and analyzes unit sales across its vast product range. The key takeaway from this isn't just the thoroughness of that data-gathering. Rather, it's the fact that, as of March 2023, Amazon now includes unit sales in search results.
The effects of this are two-fold. First, the publicly available data makes tracking this crucial KPI exceptionally easy for sellers. This encourages more sellers to market their products on the platform, boosting Amazon's net sales.
Second, it uses unit sales metrics to capitalize on a psychological principle called "social proof." Social proof is a concept that states that people are more likely to commit to a particular action if others have done so first. Seeing "600+ bought in the past month" can appeal to buyers' subconsciouses, compelling them to buy a given product over its competition.
Amazon then uses this unit sales data to inform its sellers' pricing strategies. These insights then affect its variable-cost pricing model, which fluctuates in response to a variety of other KPIs for a more holistic view of the company's data.
Common Mistakes in Calculating and Interpreting Unit Sales and How to Avoid Them
The calculation of unit sales is simple enough. The challenge lies in interpreting the data, understanding its nuances, and a long list of other not readily visible factors.
Overlooking External Factors
If you look at unit sales in isolation, neglecting the potential impact of external market forces on your data, you're likely to make inaccurate decisions. External factors like black swan events, global economic slowdowns, and natural disasters can cause changes in unit sales. When reacting to your data, failure to consider these overarching events can cause more harm than good.
Instead, regularly keep tabs on the broader economic landscape of your industry. Pay attention to consumer trends, market dynamics, regulatory changes, and shifting paradigms.
Focusing Too Heavily on the Short Term
Businesses that focus too heavily on the short term never make it in the long term. Short-term drops in unit sales will generally be countered by short-term increases at some point in the long run. Unless acted on by external market forces, all metrics tend to regress to the mean.
To avoid this common pitfall, combine short-term and long-term sales data. Use it to identify trends and patterns over time, then compare that data to your present situation.
For example, let's say a Starbucks executive commissions a report on hot chocolate sales in June. To her dismay, she sees unit sales are at an all-time low. Short-term data would recommend cutting the product. Long-term data show that hot chocolate sales spike in the winter months. This holistic approach to forecasting can inform the executive when to offer the product and when to pull it, rather than over- or under-investing.
Forgetting About Market Segmentation
Businesses understand that every target audience is different. However, many fail to consider the fact that larger target audiences can contain a great deal of differences across internal demographics as well. This lack of segmentation can result in a skewed view and an overreliance on homogeneity that simply isn't there.
You should consider segmenting your market when bringing goods to market across geographical regions, sales channels, and demographics. This prevents accidentally allowing insights from one target audience to influence another, maximizing internal accuracy.
Neglecting Competitive Analysis
Your competitors' data matters just as much as yours. It's easy to get caught up in your own sales data and fail to consider how your business measures up against your competitors. But this insular view can prevent you from identifying potential threats and opportunities.
If you're competing against publicly traded companies, get your hands on their earnings reports and other financial data. You can then compare that to your own to determine the best strategy for the current economic climate.
Over-simplifying Your Unit Sales Instrumentation
The formula for calculating unit sales is and should always be simple. However, the instruments you use to obtain that data should be as far-reaching as possible. Over-simplifying your analytics can give you a skewed understanding of the data. That skewed understanding of the data can, in turn, result in increased financial risk.
The solution to this issue is to default to a multifaceted approach. Include metrics on various internal and external, short-term and long-term, and multimodal data. IKEA, for example, draws its financial data from product design, pricing, store locations, economic trends, etc. This gives the company a more comprehensive view of its financial data.
Conclusion: The Power of Unit Sales in Retail Strategy
Accurate calculations lead to accurate data. What you do with the data once you have it is up to you. By following the recommendations I've laid out in this article, you can better understand your business's operational efficiency, customer preferences, and overall business performance.
The insights you generate from your unit sales data can inform a wide range of strategic decisions. But remember that a wide range of economic factors also influences this data. So, the path to harnessing the power of unit sales need not and should not be solitary.
For that reason, I'm here to help guide you every step of the way. Contact me to get started today.