After completing the price time distribution analysis and price regional distribution analysis, you can start analyzing user price sensitivity. Price sensitivity refers to the user’s acceptance of high and low prices. The higher the sensitivity, the more difficult it is for users to accept high-priced products, and the lower the sensitivity, the easier it is for users to accept high-priced products.
In the chart of “24-hour order volume and average customer unit price change in a single day”, the fluctuating customer unit price is divided into three intervals: low price sensitivity interval, medium price sensitivity interval, and high price sensitivity interval.
At 4 a.m., 2 p.m., 5 p.m., and 9 p.m., the average customer unit price is high, so these four time periods can be divided into low price sensitivity intervals, that is, more users will choose to buy products with higher customer unit prices. Secondly, at 2am, 3am, 6am, 7am, 9am, 11am, 1pm, 3pm, 4pm, 6pm, 7pm, 10pm, and 0pm, the average customer unit price is in the middle position, so these 13 time periods can be divided into medium price-sensitive intervals, that is, more users will choose to buy goods with moderate customer unit prices. Finally, at 1am, 5am, 8am, 10am, 12pm, 8pm, and 11pm, the average customer unit price is low, so these 7 time periods can be divided into high price-sensitive intervals, that is, more users will choose to buy goods with low customer unit prices.
At the same time, operators can also divide the chart obtained from the price regional distribution analysis into 3 price-sensitive intervals according to the average customer unit price.
The average customer unit price of MS and TN is high, that is, more users in these areas will choose to buy goods with higher customer unit prices, so these two areas can be divided into low price-sensitive intervals. Secondly, the average customer unit price in 22 regions such as WA, MA, and OHPA is moderate, which means that more users in these regions will choose to buy products with moderate customer unit price, so these 22 regions can be divided into medium price-sensitive ranges. Finally, the average customer unit price in 10 regions such as NJ, FL, SC, LA, TXMI, IL, IA, KS, and OR is low, which means that more users in these regions will choose to buy products with low customer unit price, so these 10 regions can be divided into high price-sensitive ranges.