What Is Same-Store Sales Growth?
Same-store sales growth measures revenue change in existing locations, excluding new openings. The clearest measure of underlying retail health.
Key Takeaways
- Same-store sales (also called like-for-like or LFL sales) measure growth in locations open for a full comparable period
- They exclude new store openings and closed stores to show the true underlying performance of the existing estate
- Positive LFL growth is the clearest signal of genuine retail health — overall revenue growth can be misleading
- LFL growth is driven by traffic, conversion rate, and average transaction value
What same-store sales growth is
Same-store sales growth (also called like-for-like or LFL sales growth, or comparable store sales) measures the change in revenue from retail locations that have been open for the same period in both the current and comparison year. By excluding new stores that are generating revenue for the first time and closed stores that are no longer contributing, it reveals the underlying performance of your existing trading estate — growth or decline driven by actual changes in customer behaviour, not by estate expansion.
Why LFL is more meaningful than total revenue growth
Total revenue growth includes the contribution of new store openings. A retailer that opens 10 new stores in a year might report 25% total revenue growth — which sounds impressive — but if like-for-like sales in existing stores declined 5%, the business is not fundamentally growing. New stores bring costs (fitting out, staffing, inventory) that must be funded. A retailer with positive total growth but negative LFL is typically cannibalising its own sales, opening stores in response to external pressure rather than genuine demand, or failing to maintain the quality of its existing customer proposition.
The components of LFL growth
Same-store sales growth is driven by three levers: traffic (footfall — how many customers enter the store), conversion rate (what percentage of visitors make a purchase), and average transaction value (how much each buying customer spends on average). LFL sales = Traffic × Conversion Rate × Average Transaction Value. Decomposing your LFL growth or decline into these three components tells you where to focus management attention — a traffic problem requires a different response than a conversion problem or an ATV problem.
Seasonality and LFL
Retail is typically highly seasonal — comparing December to November is not meaningful. LFL growth must always be calculated year-on-year (this December vs last December) to control for seasonal patterns. For businesses with strong seasonal peaks, it is also worth calculating LFL for each trading week across the year to identify whether performance is improving or deteriorating within each season. A retailer who sees their Christmas LFL declining by 3% year-on-year while overall retail is growing has a competitive problem worth understanding.
LFL in your reporting
Report LFL growth as a key metric in your management accounts and board pack. Show it alongside total revenue growth so the relationship between estate changes and underlying performance is visible. If your LFL is negative while total revenue is positive (due to new openings), be transparent about this in investor and board reporting — sophisticated readers will calculate it anyway, and voluntary transparency is more credible than allowing the headline number to do misleading work.