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Turnover is a sensitive figure for most operators and brand companies, which involves the analysis of operating costs and financial aspects. For general operators, how to get the turnover data or calculate the turnover is an essential skill and technology.

Turnover is real and down-to-earth data. With it, we have a bargaining chip, which is much more real than industry analysis!

it is very important to estimate the turnover data of competitors. However, accurate turnover data requires constant verification and investigation through various channels. Estimate the turnover, just verify the truth, and do a fuzzy test when the turnover data is not available. And estimating your own turnover requires constant accumulation of experience and exploration of laws.

unit price per customer (per capita consumption) * number of daily visitors (daily transaction odd number) = daily turnover of Japanese businessmen

Unfortunately, the method of measuring turnover is not unique, because the uniqueness of each format and the way of measuring it are ever-changing. Today, taking the more common catering industry as an example, I will share two methods of measuring turnover for your reference. Although the methods are different, the ideas are similar.

it is absolutely unrealistic to expect everything to be ready-made! We should learn to draw inferences from others, which is the same as "it is better to teach people to fish than to teach them to fish".

first of all, taking KFC as an example, its consumption structure can be basically divided into: lunch accounts for 31% of the daily turnover, dinner accounts for 55%, other time periods account for 11%, and take-out is 5%;

we usually choose lunch or dinner time to visit the store.

the specific method is to count the number of people who pay the bill within half an hour after arriving at the store. When there are many POS machines, you can only count the number of bills paid by one machine. If there are not many POS machines, count the number of bills paid by all POS machines. Lunch is open from 11 noon to 2 pm, three hours, six and a half hours.

the calculation formula is:

number of half-hour bills *6* customer unit price /31% = daily turnover

To explain, 6 stands for six "half-hours", that is, lunch business hours, which is 6 in half-hour units; 31% is the turnover of lunch.

For example, after staying in the store for 31 minutes at lunch time, 15 people paid the bill, spending an average of 35 yuan and opening two POS machines. The estimated turnover of KFC today is:

15 * 2 * 6 * 35/31% = 21,111 yuan

It is certain that the store business will be affected in rainy days, like other factors, such as holidays and activities.

note that this method of forecasting must avoid holidays and activities, as well as weather changes, that is, external factors that will affect business conditions. For example, if you predict it will be sunny at noon and rainy at night, this data will be inaccurate. But on the whole, it doesn't matter, because you can assume that it will be sunny at night. Your turnover data is sunny, not today's data.

this method is simple, rude, direct and effective when doing competitor survey. In addition to fast food, there are many formats that can be used, mainly suitable for stores with fast turnover. However, there are two data that need to be understood and measured, one is the unit price of customers, and the other is the composition of daily turnover.

the composition of customer unit price and turnover needs to be observed and counted in the store for a long time.

The estimation of the guest unit price is relatively simple. When you arrive at the store, observe the consumption amount of 11 tables, remove the highest and lowest, and divide the remaining 8 tables by the number of people, which is the guest unit price. The composition of turnover needs to be explored and studied. But generally, we only do surveys of competitors, and the turnover composition can basically be calculated according to the turnover composition of our own stores.

the disadvantage of this method is that there are errors in the data, but there are also ways to avoid them. That is, using this method, we can estimate the turnover data at different times, for many days, and finally take the average value.

fast food customers buy and leave, while leisure departments, such as coffee shops, need to spend a long time, which may last for an afternoon. At this time, we should consider the number of channel changes.

The second method is suitable for leisure departments, such as coffee shops with long-term consumption structure, and the method is also very simple. Its calculation formula is:

number of passengers * unit price of customers * turnover times = daily turnover

Needless to say, the number of passengers is just the direct number, and the method of unit price of customers is the same as above. The main thing is the number of turns. You need to stay in the store for a period of time: for example, an afternoon, from 2 to 5. You choose a few positions, interspersed with good and bad. Look at the number of people sitting at these tables in an afternoon:

number of people/number of seats = number of times of turning tables

Coffee shops also have consumption composition, but its ratio is distributed according to high and low peaks. For example, when turning tables for one hour in the peak period, it is definitely different from that in the low peak period.

it is certain that the turnover situation should consider the peak and low peak, and the turnover times in peak time are higher than those in low peak time.

In this leisure department, the afternoon and evening are the peak periods, and other times are the low peak periods. Suppose a coffee shop operates from 11 am to 2 am, with 46 seats in the business area; In which:

peak period: 2 pm to 5 pm; 7 pm to 11 pm; A ***7 hours.

low peak period: 11 am to 2 pm; 5 pm to 7 pm; 11 pm to 2 am; A ***9 hours.

according to the calculation, one set will be changed every 3 hours in the peak period and every 6 hours in the low peak period; The guest unit price is 31.

daily turnover = number of seats * unit price of customers * number of turnovers

46 * 31 * (7/3+9/6) = 3,864 yuan

In fact, no matter which method, you need to keep trying and trying. These methods are mainly used to estimate turnover and measure turnover. Although there will be differences in different industries, the general idea is that the unit price of customers * the number of daily visitors = the daily turnover, and the specific data needs to be adjusted according to the situation of stores. Friends who have the idea of opening a shop, before opening a shop, it is necessary to make a turnover forecast for similar shops, which can help you understand the industry situation more truly and practically and avoid falling short of expectations after blind investment. Friends who are not clear about other industries can join the Insight Business Opportunity WeChat Group, and I will try my best to help you analyze and find a method that suits you.