We are independent & ad-supported. We may earn a commission for purchases made through our links.
Advertiser Disclosure
Our website is an independent, advertising-supported platform. We provide our content free of charge to our readers, and to keep it that way, we rely on revenue generated through advertisements and affiliate partnerships. This means that when you click on certain links on our site and make a purchase, we may earn a commission. Learn more.
How We Make Money
We sustain our operations through affiliate commissions and advertising. If you click on an affiliate link and make a purchase, we may receive a commission from the merchant at no additional cost to you. We also display advertisements on our website, which help generate revenue to support our work and keep our content free for readers. Our editorial team operates independently of our advertising and affiliate partnerships to ensure that our content remains unbiased and focused on providing you with the best information and recommendations based on thorough research and honest evaluations. To remain transparent, we’ve provided a list of our current affiliate partners here.

What Does "like for like" Mean?

Malcolm Tatum
By
Updated May 16, 2024
Our promise to you
SmartCapitalMind is dedicated to creating trustworthy, high-quality content that always prioritizes transparency, integrity, and inclusivity above all else. Our ensure that our content creation and review process includes rigorous fact-checking, evidence-based, and continual updates to ensure accuracy and reliability.

Our Promise to you

Founded in 2002, our company has been a trusted resource for readers seeking informative and engaging content. Our dedication to quality remains unwavering—and will never change. We follow a strict editorial policy, ensuring that our content is authored by highly qualified professionals and edited by subject matter experts. This guarantees that everything we publish is objective, accurate, and trustworthy.

Over the years, we've refined our approach to cover a wide range of topics, providing readers with reliable and practical advice to enhance their knowledge and skills. That's why millions of readers turn to us each year. Join us in celebrating the joy of learning, guided by standards you can trust.

Editorial Standards

At SmartCapitalMind, we are committed to creating content that you can trust. Our editorial process is designed to ensure that every piece of content we publish is accurate, reliable, and informative.

Our team of experienced writers and editors follows a strict set of guidelines to ensure the highest quality content. We conduct thorough research, fact-check all information, and rely on credible sources to back up our claims. Our content is reviewed by subject-matter experts to ensure accuracy and clarity.

We believe in transparency and maintain editorial independence from our advertisers. Our team does not receive direct compensation from advertisers, allowing us to create unbiased content that prioritizes your interests.

Like for like (LFL) is a term that is often used in retail circles to identify the rate of growth in stores that have essentially the same circumstances and traits to determine if the growth in revenues have been more or less the same in each of those stores. In order to accomplish this, a chain will exclude any stores that do not comply with the criteria used for the analysis, such as stores that have been expanded, recently closed, or opened within a specified time frame. Stripping out or excluding the stores that do not fit the criteria used for the comparison makes it easier to determine if all the remaining stores are experiencing a similar growth pattern, sometimes as the result of specific marketing or sales strategies implemented since the last comparison took place.

While like for like growth assessment is a common tool used by retailers, the same basic strategy can also be used with other types of businesses that operate multiple locations. For example, a restaurant chain can make this type of comparison, usually by identifying all restaurants that are established within communities with a certain population range, use the same menus, and are all of the same layout and design. As with the retail model, the chain may choose to exclude any locations that have been opened over the last year or two.

Hotel chains can also sometimes use this model as a means of gauging how certain changes in polices or enhancements are affecting business volumes at hotels that serve the same basic demographics and have been in business for more than a certain number of years. This approach can often provide a good idea of whether those changes are having an overall positive impact on business, or if there are indications that the changes are failing to attract or even retain customers who have routinely stayed at the hotels from time to time.

With any application, the idea behind a like for like assessment is to understand in greater detail just how well those locations are doing when it comes to revenue generation. The process often calls for comparing the results of the most recently completed period with those of past periods, making it easier to determine if profits are relatively flat over time, or have moved upward or downward. The data generated from a like for like analysis can often provide important clues in how to proceed in the future, both in terms of improving the performance of the stores of locations involved, and also planning the establishment and operation of newer locations so they also have a better chance of success.

SmartCapitalMind is dedicated to providing accurate and trustworthy information. We carefully select reputable sources and employ a rigorous fact-checking process to maintain the highest standards. To learn more about our commitment to accuracy, read our editorial process.
Malcolm Tatum
By Malcolm Tatum
Malcolm Tatum, a former teleconferencing industry professional, followed his passion for trivia, research, and writing to become a full-time freelance writer. He has contributed articles to a variety of print and online publications, including SmartCapitalMind, and his work has also been featured in poetry collections, devotional anthologies, and newspapers. When not writing, Malcolm enjoys collecting vinyl records, following minor league baseball, and cycling.
Discussion Comments
Malcolm Tatum
Malcolm Tatum
Malcolm Tatum, a former teleconferencing industry professional, followed his passion for trivia, research, and writing...
Learn more
SmartCapitalMind, in your inbox

Our latest articles, guides, and more, delivered daily.

SmartCapitalMind, in your inbox

Our latest articles, guides, and more, delivered daily.