I. Using environmental factors.

The same bowl of porridge, how to sell a dollar and a million respectively? First, put the porridge in the city's ordinary breakfast store, labeled one dollar, in the vast majority of areas, the poor can also afford to pay, and will buy. One dollar in hand. Secondly, put the porridge in the desert, there is an accident lost hungry two days waiting for rescue of the rich, of course, is willing to pay a million to buy this bowl of life-saving porridge. Second, use the time factor.

Pricing strategy, there is one called skimming strategy. Skimming refers to skimming fat from milk. This pricing strategy refers to products that are priced relatively high when they first come out, and then begin to reduce their prices once they have gained a certain amount of profit. For example, the latest models of Apple's cell phones are more expensive when they first come out, when people are looking for freshness, they will buy them, and then after a year, when a newer model comes out, that's when the older models will drop in price to attract more price-sensitive users. This is to do with the same commodity, high price to sell to the rich, low price to sell to the poor.

Three, set some thresholds for getting discounts.

This kind of threshold is usually not too high. For example, KFC can download the app to get a free discount coupon, which can save a few dollars compared to the original price of the purchase. Rich people who are not price-sensitive will not specifically find out the coupon to show to the cashier, and will willingly pay at the original price. Similarly, discount networks such as Meituan, Volkswagen Dianping, Baidu Nuomi, etc., also utilize this strategy.

Four, big data "kill".

This is actually a very unethical strategy. Only as a special phenomenon taken out for everyone to think about. Some time ago, many netizens found that people who often order takeout to pay the delivery fee will be higher, commonly used online car users the same distance than the infrequent use of online car users to pay higher fees, which is related to the software based on big data to determine that your willingness to pay higher, will set a higher price.