--- title: "What Long Checkout Lines Cost Retailers" description: "Long lines cost a typical convenience store $65–$100 in profit a day. See how many shoppers leave at each line length and the repeat visits lost." url: "https://faq.mashgin.com/faq/cost-of-checkout-lines" updated: "2026-10-19" --- ## How much do long checkout lines cost retailers? For a typical convenience store, long lines cost $65 to $100 in net profit per day, or roughly $200 to $300 in lost revenue, according to [Mashgin's research on convenience store lines](https://www.mashgin.com/reports/the-cost-of-lines-in-convenience-stores). Over a year, that adds up to about $24,000 to $36,500 in net profit per store. The loss is concentrated in rush periods. Most convenience stores have 10–15 rush periods a day with lines of 4 or more people, and at that length half of shoppers say they'll leave without buying anything. Long lines also cost repeat visits: 73% of convenience store shoppers say a fast, easy checkout makes them more likely to return. ## What percentage of shoppers leave a store because of long lines? In Mashgin's [survey of 2,500 U.S. convenience store shoppers](https://www.mashgin.com/reports/c-store-checkout-preference-report), 64% said they would leave a store over a long line. The share was higher among a store's most valuable customers: 77% of high-frequency shoppers (more than weekly), 81% of nicotine buyers, and 79% of shoppers with household incomes of $100,000 or more. Line length is the tipping point. Mashgin's [research on convenience store lines](https://www.mashgin.com/reports/the-cost-of-lines-in-convenience-stores) found that once a line reaches 4 or more people, half of shoppers say they'll leave without buying anything. Faster checkout works in the other direction: 73% of shoppers said a fast, easy checkout makes them more likely to return. ## What is a rush period in a convenience store? Mashgin defines a rush period as any five-minute window in which a store processes eight or more transactions. Based on POS traffic across Mashgin's convenience store network, the average store has 10 to 15 rush periods a day, clustered around the morning commute, lunch and early evening. Rush periods are a small share of the trading day but a large share of its revenue, and they're when impulse and add-on purchases run highest. They're also when the checkout line forms. ## How many customers can one register serve during a rush? A manual register takes 60 to 90 seconds per transaction, so it can clear only three to five customers in a five-minute rush, short of the eight or more that define one. | Checkout | Customers served in a five-minute rush | | - | - | | Rush-period demand | 8+ | | Manual register, 90 seconds per transaction | 3 | | Manual register, 60 seconds per transaction | 5 | | Mashgin, 15 seconds per transaction | 20 | A store with traditional checkout never records eight transactions in five minutes because its register can't process them. The demand shows up as a line, not as sales. ## How many sales does a convenience store lose to long lines each day? [Mashgin's model](https://www.mashgin.com/reports/2025-convenience-store-shopper-experience-report) puts it at 20 to 35 abandoned transactions a day for a store with traditional checkout. It combines four numbers: - 10 to 15 rush periods a day (Mashgin POS traffic data). - At least three customers per rush who can't be served right away. - Half of shoppers leaving once four people are in line, and two-thirds at five ([Mashgin's survey of 2,500 U.S. convenience store shoppers](https://www.mashgin.com/reports/2025-convenience-store-shopper-experience-report)). - About $3 in profit per convenience transaction (NACS industry data). That works out to $60 to $105 in lost profit per day. None of it shows up in sales reports, because a sale that never happened leaves no record. ## How much do checkout lines cost a convenience store chain per year? [Mashgin's model](https://www.mashgin.com/reports/2025-convenience-store-shopper-experience-report) scales the daily loss by how busy a store is: | Store | Rush periods per day | Transactions lost per day | Profit lost per day | Profit lost per year | | - | - | - | - | - | | Quieter store | 10 | 20 | $60 | $21,900 | | Average store | 12 | 28 | $84 | $30,660 | | Busier store | 15 | 35 | $105 | $38,325 | Across a 100-store chain, the average-store figure adds up to about $3.1 million a year in lost profit. The model assumes $3 profit per transaction and 365 trading days; actual results vary with traffic, daypart and margin. ## How many bad experiences does it take to lose a convenience store customer? Very few. In [Mashgin's survey of 2,500 U.S. convenience store shoppers](https://www.mashgin.com/reports/2025-convenience-store-shopper-experience-report), 22% said one bad experience would make them stop shopping at a store for good, and another 34% said two, so 56% are gone after two bad visits. Only 3% said no number of bad experiences would drive them away. A long line during the morning rush doesn't just cost one transaction; it can cost every future visit from that customer. ## What makes convenience store shoppers leave without buying? In [Mashgin's survey of 2,500 U.S. convenience store shoppers](https://www.mashgin.com/reports/2025-convenience-store-shopper-experience-report), the experiences most likely to make someone leave without buying were: - An unsafe environment: 68% - An unclean store: 68% - Not finding the products they want: 58% - Long lines and slow checkout: 52% Checkout speed is the one on this list that also brings customers back: 73% said a fast, easy checkout makes them more likely to return. ## How can a convenience store measure how much its checkout line costs? Four steps, using a week of POS data, a stopwatch and two or three rush periods: 1. **Count your rush periods.** Look at POS data in five-minute buckets. On a manual register, you won't see eight transactions in a bucket; look for back-to-back buckets at your register's ceiling of three to five. Most stores find 10 to 15 a day. 2. **Time your transactions.** Time 30 transactions at your busiest register, from the customer reaching the counter to walking away, including price checks and ID checks. 3. **Watch the line, not the till.** During a few rush periods, count how many people are in line and how many leave it. Your POS only records the customers it served. 4. **Multiply.** Rush periods per day × customers who leave per rush × profit per transaction gives the daily cost. Multiply by trading days for the year. Mashgin's team can also run this model for a store using its own POS data.