9 Clothing Store KPI Metrics to Track and How to Calculate

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  • 1. Gross income
  • 2. Average order value
  • 3. Sales conversion rate
  • 4. Purchase rate
  • 5. Sales per square foot
  • 6. Inventory turnover ratio
  • 7. Average basket size
  • 8. Cost of sales
  • 9. Gross profit margin
9 Clothing Store KPI Metrics to Track and How to Calculate

If you are in charge of running a clothing store, there are several Key Performance Indicators (KPIs) you should track. These metrics will help you gauge the success of your store and make strategic decisions on how to improve it. In this article, we’ll go over some basic definitions of common KPIs (sales per square foot, gross revenue, average revenue per customer…) as well as how they can help you measure overall success.

Use these measurements to calculate how your clothing store is doing in key areas.

Clothing store KPIs are important because they allow you to assess whether your clothing store is performing well in key areas. You should follow the following measures:

  • Gross revenue
  • Average Order Value (AOV)
  • Conversion rate (CR)

1. Gross income

Gross revenue is the total amount of money collected during a given period. It can be calculated by multiplying the number of units sold by the unit price. It is important to note that gross income is not net income, which is calculated after deductions such as returns and discounts have been taken out.

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Note: Gross revenue is not an exact measure as it does not include taxes, shipping or other operating expenses for your business which may change depending on your industry, location and country. your business model. The best way to track these additional factors would be through net sales

2. Average order value

Average Order Value (AOV) is the total revenue from all transactions divided by the number of transactions. This metric is a good measure of the quantity of each customer in your store. The AOV can be calculated for each month or for each quarter. To calculate it, you will need to take:

  • The total revenue from all transactions that occurred during a certain period (month, quarter, etc.)
  • The number of sales that occurred during the same period

Once you have this data handy, divide it one by the other and voila! You’ve calculated the average order value for your clothing store!

Average order value is a very important metric to track, as it gives you an idea of the quantity of each customer. In other words, it shows you what people are willing to spend on their purchases. You can use this information to set prices for new products or adjust existing ones if necessary.

For example, if you have ,000 in revenue and 100 transactions, your average order value is . This means that on average each customer spends on their purchase.

3. Sales conversion rate

The first metric you need to track and calculate is walk-in traffic. This is the number of people who visit your store, whether or not they make a purchase. Your sales conversion rate will give you an idea of how many customers are making purchases versus how many are visiting your store.

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The sales conversion rate is calculated by dividing the total number of customers who bought something by the total number of customers who visited:

Sales Conversion Rate = Total Sales / Total Visits

The sales conversion rate can be calculated for each day of the week, which will give you a better understanding of when your customers visit your store. From there, you can determine if any trends are emerging and what steps you can take to improve your business.

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4. Repeat purchase rates

Repeat purchase rates = (Number of repeat purchases / Number of all purchases) * 100

This metric is a measure of loyalty and customer loyalty. It is expressed as a percentage, which can be interpreted as the percentage of customers who have purchased from your store again within a certain period of time.

To calculate this metric, you need to know how many times each customer returned to your store and the number of orders they placed in in total. In this example, we’ll use data from a clothing retailer that has been tracking repeat purchase rates for years:

10%-20%: your brand has just enough loyal customers, but you might lose them too quickly; Consider improving your branding and customer service efforts so that more people want to come back after their first order with you.

5. Sales per square foot

Sales per square foot is a metric that measures your retail store’s sales volume in terms of total square footage. It is calculated by taking the gross revenue and dividing it by the total square footage.

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This metric is important because it helps retailers gauge the effectiveness of their store layouts and selling strategies. If you have a bigger store that generates more revenue, you know something has to work right, so keep doing it!

6. Inventory turnover ratio

Inventory turnover ratio is a common metric that retailers use to determine the effectiveness of their inventory management. It is calculated by dividing the cost of goods sold (COGS) by average inventory levels over a given period of time.

The higher your stock turnover rate, the higher your profits will be – and vice versa!

This metric can also help you understand how well certain products are selling in different seasons or even within different departments within a store: perhaps some items are moving faster than others; Maybe some items don’t sell at all despite being popular elsewhere; Perhaps there is one type of product whose popularity seems to have gone down entirely since last year; ettera ad infinitum!

7. Average basket size

The average item per transaction (basket size) is a good indicator of how customers are buying from your store. The formula to calculate the average basket size is:

Average basket size = Total transactions / number of items purchased

You can use this metric to determine if you should offer more variety or better screens, which will increase the number of items sold per customer. You can also use it to calculate average revenue per customer by multiplying the average basket size by your retail price for each item.

8. Cost of Percentage of Sale

Cost of sale percentage is a key metric used to measure the efficiency of a clothing store. It’s calculated by dividing cost of sales by revenue and can be used to track your profitability, as well as determine how much you need to spend on each sale to maintain current profit margins.

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For example, let’s say you have 0 in sales for the month. Your total cost of goods sold (COGS) was , which makes your COGS percentage 50%. If you want this number to remain consistent throughout the months, you will need to increase your income or reduce the cogs. You can do this by reducing shipping costs or reducing markups on prices – or even increasing them if they are currently lower than competitor brands!

You may also want to adjust other parts of your business model: maybe there are overheads that could be reduced without affecting operations?

The bottom line here is that every dollar spent getting products into customers’ hands should result in at least one new customer buying something from us!

9. Gross profit margin

A gross margin is the percentage of sales that remains after deducting the cost of goods sold from net sales. In other words, it’s the amount you earn on every dollar of your product or service sales.

Gross profit and gross margin are similar concepts and can be used interchangeably in many cases; However, they refer to different things. Gross Profit refers to Total Revenue minus Total Costs while Gross Margin is calculated by dividing Total Revenue by Total Costs – the resulting number does not include any taxes or other expenses that may affect business results. a company.

Conclusion

These metrics give you a starting point for your clothing store KPI. You can use them to track how your business is doing in key areas like sales, cost of goods sold (COG), and inventory turnover. By using these and other metrics that are specific to your industry, you can identify opportunities to improve your business strategy, operations, and customer experience.

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