Discover why same-store sales can mislead retailers. Learn how to improve accuracy and make data-driven decisions to boost business growth.
While same-store sales measure retail performance by comparing year-on-year sales, it fails to provide the full picture. I realised the need to address this misconception during a meeting with a large fashion retail executive.
He said, “I focus on same-store sales because if my comps are up, we are growing, and business is good.”
I agree that same-store sales are important. However, I needed to explain that this metric can be hugely misleading.
For example, it overlooks critical variables like competitive landscape changes, staff variations, pricing strategies, advertising campaigns, and economic conditions that impact performance.
To gain accurate insights, combine same-store sale analysis with traffic and in-store sales conversion metrics.
Let’s delve deeper into the issue with actual data. This article uncovers a real store’s improved conversion rate and explains critical variables that impact performance.
You’ll also gain insight into how to make informed decisions and unlock your store’s true potential.
Same-store sales is a metric used by retail companies to measure the revenue growth of store locations for the same period year-over-year. It’s a crucial metric for retailers to assess their performance and make informed decisions to drive growth.
For example, a retailer will use same-store sales to evaluate how January sales this year compared with January sales the prior year for the same store. An increase in sales by 10% would be a good result.
When looking at the overall performance of a retail business, same-store sales do two important things:
Sometimes called comparable sales or comp sales, same-store sales growth provides retailers with essential information for assessing performance, identifying growth opportunities, improving operational efficiency, and instilling confidence in investors.
It’s a vital metric in the retail industry’s quest for sustainable and profitable growth. Here’s why same-store sales matter:
Many variables impact a retail store’s performance. Simply eliminating seasonality and new stores to garner performance isn’t enough.
Most things are different year-over-year, making same-store sales a deceptive metric. For example:
Same-store sales is a good performance metric, but it tells you little about real opportunity or what’s driven performance.
This is where traffic and in-store sales conversion data come in. Combining same-store sales analysis with traffic and conversion metrics dramatically changes how you interpret the data.
Let’s look at the numbers of an actual store for June:
June | Last Year | This Year | % Change |
Sales | $823,188 | $946,742 | +15% |
Transactions | 2,172 | 2,498 | +15% |
Avg. Transaction Value | $379 | $379 | 0% |
The store was up 15% on a comp sales basis. Average transaction value and gross margins remained unchanged from a year ago.
Is a 15% increase in comp sales a great result?
This approach is where things get more interesting.
Store traffic in June was actually up 25% from the same month last year, not 15%.
June | Last Year | This Year | % Change |
Store Traffic | 8,688 | 10,860 | +25% |
Conversion Rate | 25% | 23% | -12.5% |
Sales | $823,188 | $946,742 | +15% |
Transactions | 2,172 | 2,498 | +15% |
Avg. Transaction Value | $379 | $379 | 0% |
Look at customer traffic as “opportunity size.” This means the sales opportunity increased by 25%. That’s significant!
Now you have to ask, if sales opportunity was up 25%, why were sales only up by 15%? The answer is conversion rate.
The above table shows conversion rate for the period was down by 12.5%, from 25% to 23%. As is often the case, the conversion rate decreases when traffic increases.
Driving more visitors into your store is great, but only if you convert them into paying customers.
On the surface, a 15% increase in positive same-store sales is a great result. However, adding traffic and conversion data shows the store performed poorly in June. The comp sales should have also increased by 25% had the store performed well.
The focus should be reviewing store operations and exploiting every opportunity, knowing the conversion rate decreased in June.
It’s only possible to know the store’s actual performance with the traffic and conversion data.
Let’s look at July for the same store:
July | Last Year | This Year | % Change |
Sales | $899,367 | $809,430 | -10% |
Transactions | 2,373 | 2,136 | -10% |
Avg. Transaction Value | $379 | $379 | 0% |
Comp sales are down 10%, while the average transaction value and gross margins remain unchanged from a year ago.
Is a 10% decrease in comp sales a bad result?
These are common conversations for most retailers. With the available data above, it’s assumed traffic is driving the transaction volume and sales results.
Consequently, the marketing team is often on the hot seat regarding poor performance. The assumption is their marketing efforts have not yielded enough customer traffic.
Again, this is where the conversation gets more interesting.
The table demonstrates that store traffic was down by 20%. However, the conversion rate increased by 12.3%, from 22% to 24.7%.
July | Last Year | This Year | % Change |
Store Traffic | 10,786 | 8,628 | -20% |
Conversion Rate | 22% | 24.7% | +12.3% |
Sales | $899,367 | $809,430 | -10% |
Transactions | 2,373 | 2,136 | -10% |
Avg. Transaction Value | $379 | $379 | 0% |
A 10% decrease in same-store sales could be better.
However, the situation could have been much worse had the conversion rate not increased for the period. Same-store sales figures would have fallen by a massive 20%.
On one hand, July was much worse than initially thought because customer traffic and sales dropped by 20%.
On the other hand, the store performed better against a shrinking opportunity.
Therefore, it’s necessary to investigate the marketing strategy. Store traffic was down by 20% for the month, not 10%.
The examples given above are real. This retail customer commenced working with Skyfii in May and quickly discovered the value of having traffic and conversion data to review overall performance.
The business had been using same-store sales data for years and was making incorrect decisions.
Without store traffic counts and sales conversion data, analyzing store performance using comp sales is incomplete and potentially misleading.
Traffic and conversion data enable you to understand the actual performance of your stores.
Uncover the truth behind same-store sales and avoid misleading metrics that hinder your decision-making.
Gain a comprehensive understanding of your store’s performance with aurate traffic and conversion data.
Take the guesswork out of optimizing your retail strategy. Contact our team today for a live demo, and witness the transformative impact of a comprehensive approach to retail analytics.
Answers to common questions about sales metrics in retail.
In retail, “comp” is short for “comparable.” It’s a metric that compares the sales performance of a specific store or group of stores over a defined period, typically year-on-year or quarter-on-quarter.
Comp sales, also known as same-store sales or comparable store sales, help retailers assess the organic growth or decline of their existing locations.
Factors influencing same-store sales growth in retail include:
Retailers must monitor and analyse these factors to make informed decisions.
Same-store sales focus on the sales performance of existing stores over a specific period, typically year-on-year growth. It excludes the sales generated by newly opened stores.
Conversely, total sales is the overall revenue generated by all stores, including existing and newly opened ones.
Total sales provide a broader perspective on the company’s overall performance, while same-store sales measure the growth or decline of existing store locations.
Retailers can enhance their same-store sales growth by improving customer experience, implementing effective marketing campaigns, optimizing pricing and product offerings, and leveraging data analytics.
To calculate same-store sales, follow these steps:
The resulting percentage represents the same-store sales growth for the chosen period. It indicates the overall performance of the selected stores by eliminating the impact of new store openings or closures.