WO2019218755A1 - 优惠券门槛计算方法以及装置 - Google Patents

优惠券门槛计算方法以及装置 Download PDF

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Publication number
WO2019218755A1
WO2019218755A1 PCT/CN2019/077172 CN2019077172W WO2019218755A1 WO 2019218755 A1 WO2019218755 A1 WO 2019218755A1 CN 2019077172 W CN2019077172 W CN 2019077172W WO 2019218755 A1 WO2019218755 A1 WO 2019218755A1
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Prior art keywords
coupon
store
threshold
category
order
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PCT/CN2019/077172
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English (en)
French (fr)
Inventor
罗晗
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口口相传(北京)网络技术有限公司
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Publication of WO2019218755A1 publication Critical patent/WO2019218755A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0213—Consumer transaction fees

Definitions

  • the present application relates to the field of data processing technologies, and in particular, to a method and a device for calculating a coupon threshold.
  • the application also relates to a coupon configuration method and device, and two electronic devices.
  • Coupons are a marketing method in marketing programs. By configuring coupons, you can increase the unit price of users to store consumption, and ultimately help the store to increase revenue and do business well. For example, taking the catering industry as an example, the word-of-mouth platform allocates coupons for catering stores based on the transaction data of the catering stores in the word-of-mouth and the category information of various categories of the catering industry, which is popular with the word-of-mouth platform, and increases the unit price of the pens to attract more user groups. Participate in consumption.
  • the industry allocates coupons for stores, which are generally based on the experience of the industry. For example, 5% discount coupons are configured for every 50 minus 5 yuan, and the coupon threshold is 50 yuan.
  • the coupon threshold for these unified discounts does not take into account the operating conditions of the stores themselves, and is often not properly configured. Different consumer groups of different stores are different, and the transaction situation is different. Even if the store is located in the same area, the customer base is basically the same, the distribution of the corresponding pens will be different, and the pen price can reflect the operation status of the store itself. The marketing benefits of coupons with different coupon thresholds are different. If the configuration is not appropriate, it will lead to marketing accidents. For example, with the same discount, the low-thick margin coupons can be used more than the high-gate coupons.
  • the configuration is not appropriate, the marketing accidents are relatively large; in the fast food, snacks and other food and beverage industries, even the one yuan or a few yuan discount Differences in the threshold of the coupon, if the configuration is not appropriate, the marketing mistakes will be great.
  • the present application provides a coupon threshold calculation method and a coupon configuration method to solve the problem that the existing coupon threshold does not take into account the operation status of the store itself and the configuration is inappropriate.
  • the present application further provides a coupon threshold computing device, a coupon configuration device, and two types of electronic devices.
  • the application provides a coupon threshold calculation method, including:
  • the coupon threshold is sent to the client.
  • the step of determining a coupon threshold that satisfies the coupon usage condition in the store category is determined as follows:
  • a ratio of the average value of the order amount to the discount rate of the coupon is calculated as the coupon threshold.
  • the step of determining a coupon threshold that satisfies the coupon usage condition in the store category is determined as follows:
  • the historical order data in the store category includes:
  • the order amount, order time, and the number of orders in the preset time threshold interval are the order amount, order time, and the number of orders in the preset time threshold interval.
  • the calculating the store class according to the historical order data Before the current order amount average step including:
  • the amount of the order generated by the unused coupon payment is filtered out from the historical order data according to whether or not the coupon is used for screening.
  • the step of calculating an order amount average value in the store category according to the historical order data includes:
  • the method for calculating the coupon threshold further includes:
  • the application also provides a coupon threshold computing device, including:
  • a historical order data obtaining unit configured to acquire historical order data under the store category of the corresponding store of the client according to the obtaining request of the coupon threshold submitted by the client;
  • An order amount mean value calculation unit configured to calculate an average amount of the order amount in the store category according to the historical order data
  • a coupon threshold determining unit configured to determine, according to the average amount of the order amount and the discount rate of the coupon under the category of the store, a coupon threshold that satisfies the use condition of the coupon under the category of the store;
  • a coupon threshold sending unit configured to send the coupon threshold to the client.
  • the application also provides a coupon configuration method, including:
  • a control that detects the setting of the coupon threshold is triggered, and a request for obtaining a coupon threshold is submitted to the server;
  • the coupon threshold is based on an average amount of the order amount calculated according to the historical order data of the store category and a coupon discount under the store category Rate determination
  • the coupons in the store category are arranged for the store based on the coupon threshold and the coupon discount rate under the store category.
  • the method includes:
  • the order value average-order number relationship graph is displayed on the corresponding interface of the set coupon threshold.
  • the method includes:
  • the mark is displayed in the order amount average-order number relationship graph.
  • the step of configuring the coupon for the store under the store category is implemented as follows:
  • a confirmation instruction of the coupon scheme is submitted to the server.
  • the application also provides a coupon configuration apparatus, including:
  • a coupon threshold obtaining request submitting unit configured to detect that a control for setting a coupon threshold is triggered, and submit a request for obtaining a coupon threshold to the server;
  • a coupon threshold receiving unit configured to receive a coupon threshold of a current store category of the store sent by the server; the coupon threshold is based on an average amount of the order amount calculated according to the historical order data of the store category The coupon discount rate is determined under the category of the store;
  • the coupon arranging unit is configured to configure, according to the coupon threshold and the coupon discount rate under the store category, the coupons in the store category of the store.
  • the application also provides an electronic device, including:
  • the memory is configured to store computer executable instructions
  • the processor is configured to execute the computer executable instructions: acquiring a history of a store category of the client corresponding store according to a request for obtaining a coupon threshold submitted by a client Order data;
  • the coupon threshold is sent to the client.
  • the application also provides an electronic device, including:
  • the memory is configured to store computer executable instructions
  • the processor is configured to execute the computer executable instructions: detecting that a control setting a coupon threshold is triggered, and submitting a request for obtaining a coupon threshold to a server;
  • the coupon threshold is based on an average amount of the order amount calculated according to the historical order data of the store category and a coupon discount under the store category Rate determination
  • the coupons in the store category are arranged for the store based on the coupon threshold and the coupon discount rate under the store category.
  • the present application calculates the average value of the order amount under the category of the store, and then according to the average value of the order amount under the store category and the coupon discount rate under the store category.
  • a coupon threshold that satisfies the coupon usage conditions under the store category is determined.
  • the coupon threshold calculation method calculates the coupon threshold of the store marketing activity based on the store's own order status, and the configuration is more reasonable, reduces marketing accidents, and can expand the user group range of the store. , bringing marketing gains to the store.
  • FIG. 1 is a processing flowchart of a method for calculating a coupon threshold provided by an embodiment of the present application
  • FIG. 2 is a schematic structural diagram of a coupon threshold computing device provided by an embodiment of the present application.
  • FIG. 3 is a process flowchart of an embodiment of a coupon configuration method according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of a first coupon configuration function interface provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a second coupon configuration function interface provided by an embodiment of the present application.
  • FIG. 6 is a schematic diagram of a third coupon configuration function interface provided by an embodiment of the present application.
  • FIG. 7 is a schematic diagram of a fourth coupon configuration function interface provided by an embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of a coupon configuration apparatus according to an embodiment of the present application.
  • FIG. 9 is a schematic diagram of an electronic device according to an embodiment of the present application.
  • FIG. 10 is a schematic diagram of another electronic device according to an embodiment of the present disclosure.
  • the application is jointly performed by the server and the client.
  • the application provides a coupon threshold calculation method and device, a coupon configuration method and device, and two electronic devices.
  • the execution body of the embodiment of the present application is a server. As shown in FIG. 1 , it shows a processing flowchart of a coupon threshold calculation method provided by an embodiment of the present application, which includes the following steps.
  • Step S101 Acquire, according to the acquisition request of the coupon threshold submitted by the client, the historical order data under the category of the store corresponding to the client.
  • This application requires a reasonable allocation of coupons for the store. It is very important to configure a reasonable coupon threshold.
  • the catering industry is taken as an example to describe the method for calculating the coupon threshold provided by the present application.
  • the coupon threshold calculation method can also be implemented in other service industries other than the catering industry, such as hotels, games and entertainment, beauty, massage, sports and fitness services. For the stores of these service industries, there is also the purpose of attracting users to participate in consumption by issuing coupons and configuring coupon thresholds, thereby improving the revenue of the store, and referring to the embodiment of the coupon threshold calculation method provided by the application. I will not repeat them here.
  • the coupon threshold for the store recommendation marketing plan is calculated based on the historical order data of the store. This step is used to obtain historical order data under the store category of the corresponding store of the client.
  • the client initiates a request for obtaining a coupon threshold
  • the server obtains historical order data under the category of the store corresponding to the client based on the acquisition request.
  • the historical order data may be stored in the server or in the client, which is not limited in this application.
  • the server may obtain the stored historical order data from the server or obtain the stored historical order data from the client.
  • the coupon threshold is a coupon for assuming that the coupon is full x yuan minus y yuan, then the coupon threshold is x yuan. At the same time, the voucher value is y yuan, and the coupon discount rate is 1-y/x.
  • coupon threshold and coupon discount rate the coupon denomination can be calculated based on the coupon threshold and coupon discount rate.
  • the embodiment of the present application mainly describes the calculation scheme of the coupon threshold, and assumes that the coupon discount rate has been given.
  • the category of stores refers to the classification of the stores, which are the industries to which the stores belong, such as hot pots and fast food.
  • a store can correspond to multiple store categories, or it can correspond to a store category. In general, a store corresponds to a store category.
  • Historical order data corresponds to the historical order data of the user group under the category of the store, including: the order amount, the order time, the number of orders in the preset time threshold interval, and the like.
  • the order amount is the amount of payment in the payment process for the user in the corresponding store category of the store.
  • the order time is the time paid by the user for the corresponding store category in the store.
  • the preset time threshold interval the time interval corresponding to the historical order data of the time threshold interval to be acquired, and preset according to the calculation needs.
  • the client initiates a request for obtaining a fast food category coupon threshold
  • the server obtains historical order data under the fast food category of the client corresponding store based on the acquisition request of the fast food category coupon threshold. That is, the order amount of each order, the order time of each order, the number of orders in the estimated time threshold interval, and the like under the fast food category of the corresponding store of the client are obtained.
  • the historical order data here refers to the order data that the user completes the payment, does not include the order amount of the user's uncompleted order, the order time, etc., and is the data that generates the real transaction.
  • the method includes: filtering, according to the order time, an order amount that meets a preset time threshold interval from the historical order data; sorting out the order quantity according to the order amount, and filtering out the historical order data The amount of the order containing the abnormal data; the amount of the order generated by the unused coupon payment is filtered out from the historical order data according to whether or not the coupon is used for screening. It can be seen that the historical order data under the category of the store corresponding to the store corresponding to the store contains data that is not conducive to calculation, and needs to filter the historical order data to filter out more reliable data that meets the calculation conditions.
  • the historical order data needs to be sorted according to the order time of the order, and the order amount belonging to the preset time threshold interval is filtered out from the historical order data. Intercepting historical order data cannot select all time intervals, and it is necessary to select a specific time interval for calculation.
  • the preset time threshold interval needs to be preset. For the solution of the embodiment of the present application, the best preferred solution is to set the preset time threshold interval to 90 days. Because the order data of the user in the store will change slightly with the seasonality, and the results calculated in different quarters will be different, the historical order data of the last 90 days will be used, and then the historical order data of the previous quarter will be calculated. The coupon threshold applicable in the next quarter will create greater revenue for the store.
  • the historical order data needs to be sorted according to the order amount, and the abnormal order amount data is filtered out from the historical order data.
  • the best option is to remove the 5% of the highest order amount and the lowest 5% of the order amount, and to remove some abnormal order amount data, so as to ensure that the calculated user group data is credible.
  • the historical order data needs to be filtered according to whether the coupon is used, and the order amount generated by the unused coupon when the payment is collected is filtered out from the historical order data, that is, the historical order data does not include the amount of the merchant subsidy. . Because the embodiment of the present application is to obtain the real operating status of the store itself, the acquired data adopts the order amount of the merchant subsidy part of the transaction, thereby ensuring that the data of the calculated user group is credible.
  • Step S102 calculating an average value of the order amount in the store category according to the historical order data.
  • the embodiment of the present application calculates a coupon threshold for the historical order data corresponding to the category of the store in the store, and calculates the coupon threshold to calculate the average amount of the order corresponding to the store category.
  • the average amount of the order amount refers to the average value of the order amount for the user group calculated based on the historical order data of the user group, and reflects the average consumption level of the user group.
  • the average amount of the order amount may be the unit price of the pen, or other values that reflect the average spending power of the user group, such as the unit price of the customer.
  • the step of calculating an order amount average value in the store category according to the historical order data comprises:
  • the best preferred solution is to use the unit price of the store under the category of the store as the average amount of the order amount under the category of the store.
  • the store is more concerned about the unit price of the pen, because the merchant corresponding to the store, one of the two most concerned data is the pen unit price, and the other is the running water (the store's revenue).
  • the unit price of the pen reflects the average consumption level of the user group. If the unit price of the pen is increased, the average consumption level of the user group corresponding to the store category of the store is also improved. After doing marketing activities, the store will pay attention to whether the activity has raised its own pen price and whether the revenue has been upgraded. By raising the pen price, it will help the store to increase revenue. Therefore, in the embodiment of the present application, the unit price of the pen is a very important constraint on the setting of the coupon threshold.
  • the average value of the full transaction of the store is the pen unit price of the store. That is, the sum of the order amounts of the preset time threshold interval is calculated first, and the total order amount of the preset time threshold interval is obtained. Recalculating the ratio of the total order amount of the preset time threshold interval to the order number of the preset time threshold interval, and obtaining the pen unit price of the corresponding user group under the store category, that is, the average amount of the order amount in the store category.
  • the store hopes to make the average consumption level of the user group more than 36 yuan, in order to obtain more revenue, and set a reasonable coupon threshold for the calculated coupon price of 36 yuan.
  • Step S103 determining a coupon threshold that satisfies the coupon use condition in the store category according to the order amount average value and the coupon discount rate under the store category.
  • the embodiment of the present application calculates the coupon threshold for the historical order data corresponding to the category of the store in the store, and calculates the coupon threshold to calculate the average amount of the order corresponding to the store category, and then according to the average amount of the order and the category of the store.
  • the coupon discount rate is determined.
  • the coupon corresponding to the coupon threshold set in the embodiment of the present application needs to make the actual payment amount after the user completes the reduction using the coupon is still greater than or Equal to the average amount of the order amount.
  • the average value of the order amount reflects the consumption level of the user group.
  • the actual payment amount after the user uses the coupon to complete the reduction is greater than or equal to the average value of the order amount, it indicates that the consumption level of the user group is improved or maintained. Therefore, setting the coupon threshold under this premise is a more reasonable coupon threshold.
  • the average order value corresponding to different store categories is not the same, then the recommended coupon threshold is different, and the guaranteed payment amount will still be greater than or equal to the average value of the order amount after the coupon is fully reduced.
  • the actual payment amount after the user uses the coupon to fully reduce is the product of the coupon threshold and the coupon discount rate. Therefore, the coupon threshold under the category of the store can be determined based on the average amount of the order amount and the coupon discount rate under the store category.
  • the coupon discount rate is a coupon discounted at 1-y/x, assuming that the coupon is a coupon of x yuan (the coupon threshold is x yuan) minus y yuan (the coupon denomination is y yuan).
  • the coupon discount rate is different for different store categories, and different coupon discount rates are set in advance for different store categories.
  • the embodiment of the present application mainly describes the setting scheme of the coupon threshold, and it is assumed that the coupon discount rate has been given.
  • the preconditions for setting the coupon threshold can be expressed by the following formula:
  • x is the coupon threshold
  • d is the coupon discount rate
  • z is the average amount of the order amount.
  • the discount rate of the coupon is assumed to be known, and the average value of the order amount is calculated based on the historical order data. According to the preconditions of setting the coupon threshold, the corresponding coupon threshold can be obtained.
  • the determining the coupon threshold that satisfies the coupon use condition in the store category is determined as follows:
  • a ratio of the average value of the order amount to the discount rate of the coupon is calculated as the coupon threshold.
  • the calculation method can be expressed by the following formula:
  • x is the coupon threshold
  • d is the coupon discount rate
  • z is the average amount of the order amount.
  • the coupon discount rate d is assumed to be known, and the order value mean z is calculated based on historical order data, and the coupon threshold x is equal to the ratio of the order amount mean z to the coupon discount rate d.
  • the coupon threshold is the ratio of the order amount average to the coupon discount rate
  • the product of the coupon threshold and the coupon discount rate is equal to the order amount average, indicating that the actual payment amount after the user uses the coupon corresponding to the coupon threshold remains It is equal to the original order amount of the store category of the store.
  • the average value of the order amount does not include the amount of the merchant subsidy. Therefore, if the number of orders in the preset time threshold interval of the new statistics is unchanged, the statistical calculation is performed again in the preset time threshold interval, and the new order amount average value will be improved. .
  • the ratio of the average amount of the order amount to the coupon discount rate is set as the coupon threshold, which is the lowest value in the coupon threshold that the store can afford, and is the best coupon threshold for the store.
  • the corresponding coupons are low-priced coupons, which are the largest group of users, and can bring the best revenue in the coupon threshold that the store can afford, reducing marketing accidents.
  • the determining a coupon threshold that satisfies the coupon use condition in the store category is determined as follows:
  • x is the coupon threshold
  • d is the coupon discount rate
  • z is the average amount of the order amount.
  • the coupon discount rate d is assumed to be known, and the order amount mean value z is calculated based on the historical order data, and the coupon threshold x is an arbitrary value greater than the ratio of the order amount average value z to the coupon discount rate d.
  • the product of the coupon threshold and the coupon discount rate is greater than the average amount of the order amount, indicating that the actual payment amount after the user uses the coupon corresponding to the coupon threshold remains
  • the average order value of the original store category of the store is larger than the store. If the actual payment amount after the user uses the coupon corresponding to the coupon threshold is still greater than the original order amount of the store category, the order is assumed to be the same as the number of orders in the preset time threshold interval of the new statistics. The average amount will increase. On the basis of this, the average amount of the order amount does not include the amount of the merchant subsidy. Therefore, if the number of orders in the preset time threshold interval is unchanged, the statistical calculation is performed again in the preset time threshold interval, and the new order amount average will be Upgrade.
  • any value greater than the ratio of the average value of the order amount to the coupon discount rate is determined as the coupon threshold, which is a coupon threshold that the store can withstand the average amount of the order amount, and the corresponding coupon.
  • the coupon threshold is a coupon threshold that the store can withstand the average amount of the order amount, and the corresponding coupon.
  • the applicable user base is larger, which can bring better revenue and reduce marketing accidents.
  • the revenue effect corresponding to the low threshold is better than the revenue of the high threshold.
  • the ratio of the average amount of the order amount to the discount rate of the coupon is the lowest value in the coupon threshold that the store can afford. It is the best coupon threshold for the store. The closer the coupon threshold is to the ratio of the average amount of the order to the discount rate of the coupon. The better the revenue will be.
  • Step S104 sending the coupon threshold to the client.
  • the client initiates a request for obtaining a coupon threshold, and the server calculates a coupon threshold according to the historical order data under the acquired store category of the store, and then sends the calculated coupon threshold to the client.
  • the embodiment of the present application further includes the following steps.
  • the promotion rate of the pen unit price corresponding to the coupon threshold is estimated in combination with the coupon threshold.
  • the total order amount of the preset time threshold interval of the new statistic will increase.
  • the unit price of the pen will inevitably increase.
  • the total order amount of the preset time threshold interval is estimated, and then the pen unit price is calculated according to the estimated total order amount and the order number of the preset time threshold interval, thereby calculating the lifting ratio of the pen unit price.
  • the present application calculates the average amount of the order amount under the category of the store according to the historical order data under the category of the store of the obtained store, and then according to the average value of the order amount under the store category and the category of the store.
  • the coupon discount rate determines a coupon threshold that satisfies the conditions of use of the coupon under the category of the store.
  • the coupon threshold calculation method calculates the coupon threshold of the store marketing activity based on the store's own order status, and the configuration is more reasonable, reduces marketing accidents, and can expand the user group range of the store. , bringing marketing gains to the store.
  • a coupon threshold computing device provided by the present application is implemented as follows:
  • a coupon threshold calculation method is provided.
  • the present application further provides a coupon threshold calculation device.
  • the device embodiment is basically similar to the method embodiment, the description is relatively simple. For related parts, please refer to the corresponding description of the coupon threshold calculation method embodiment provided above.
  • the device embodiments described below are merely illustrative and will be described below in conjunction with the drawings.
  • FIG. 2 is a schematic structural diagram of a coupon threshold computing device provided by an embodiment of the present application, including the following units.
  • the historical order data obtaining unit 201 is configured to obtain historical order data under the store category of the corresponding store of the client according to the acquisition request of the coupon threshold submitted by the client;
  • the order amount average value calculating unit 202 is configured to calculate an average amount of the order amount in the store category according to the historical order data;
  • the coupon threshold determining unit 203 is configured to determine, according to the average amount of the order amount and the discount rate of the coupon under the category of the store, a coupon threshold that satisfies the use condition of the coupon in the category of the store;
  • the coupon threshold sending unit 204 is configured to send the coupon threshold to the client.
  • the coupon threshold determining unit 203 includes:
  • the first coupon threshold determining subunit calculates a ratio of the order amount average to the coupon discount rate as the coupon threshold.
  • the coupon threshold determining unit 203 includes:
  • a second coupon threshold determining subunit calculating a ratio of the average value of the order amount to the discount rate of the coupon, which is greater than any value of a ratio of the average value of the order amount to the discount rate of the coupon, as the discount The threshold of the coupon.
  • the historical order data in the store category includes:
  • the order amount, order time, and the number of orders in the preset time threshold interval are the order amount, order time, and the number of orders in the preset time threshold interval.
  • the coupon threshold computing device further includes:
  • a first historical order data filtering subunit configured to filter, according to the order time, an order amount that satisfies a preset time threshold interval from the historical order data
  • a second historical order data filtering sub-unit configured to sort, according to the order amount, the amount of the order that does not contain the abnormal data is filtered out from the historical order data
  • the first historical order data filtering sub-unit is configured to filter, according to whether the coupon is used, the amount of the order generated by the unused coupon payment from the historical order data.
  • the order amount average calculating unit 202 includes:
  • a total order amount calculation subunit configured to calculate a sum of the order amounts of the preset time threshold interval, and obtain a total order amount of the preset time threshold interval;
  • An order amount mean value calculation subunit configured to calculate a ratio of a total order amount of the preset time threshold interval to an order number of the preset time threshold interval, and obtain a pen unit price of the store under the category of the store, The average value of the order amount under the category of the store.
  • the coupon threshold computing device further includes:
  • a pen unit price increase ratio calculation unit configured to calculate the pen unit price increase ratio of the coupon threshold according to the number of orders included in the historical order data, in combination with the coupon threshold;
  • the pen unit price increase ratio sending module is configured to send the pen unit price increase ratio to the client.
  • a coupon configuration method provided by the present application is implemented as follows:
  • FIG. 3 is a flowchart of a process for configuring a coupon according to an embodiment of the present disclosure
  • FIG. 4 to FIG. 7 are schematic diagrams of a function interface of a coupon configuration method according to an embodiment of the present application.
  • the execution body of the embodiment of the present application is a client.
  • a coupon configuration method provided by the embodiment of the present application is described in detail below with reference to FIG. 3 to FIG.
  • FIG. 3 shows a processing flowchart of a coupon configuration method provided by an embodiment of the present application, which includes the following steps.
  • step S301 it is detected that the control for setting the coupon threshold is triggered, and the acquisition request of the coupon threshold is submitted to the server.
  • the application sets a coupon threshold according to the operation status of the store itself.
  • the operation is started by triggering a control for setting a coupon threshold.
  • the control for setting the coupon threshold is shown in FIG. Show the "Full Reduction Coupon” control.
  • the request for obtaining the coupon threshold is submitted to the server, and the server further performs the calculation of the coupon threshold according to the acquisition request.
  • the method includes:
  • the order value average-order number relationship graph is displayed on the corresponding interface of the set coupon threshold.
  • the historical order data is obtained, and the corresponding amount of the order amount-order number determined by the average amount of the order amount on the abscissa and the order number as the ordinate is generated according to the historical order data in the corresponding interface of the client setting coupon threshold.
  • the best preferred solution is to use the unit price of the store under the category of the store as the average amount of the order amount under the category of the store.
  • the current pen unit price is concentrated at 30-40 yuan, the graph shows that when the pen unit price is 30-40 yuan, the corresponding order number is larger; when the pen unit price is less than 30 yuan or more than 40 yuan Next, the corresponding number of orders is small.
  • Step S302 receiving a coupon threshold of the current store category of the store sent by the server; the coupon threshold is based on the average amount of the order amount calculated according to the historical order data of the store category and the store category The coupon discount rate is determined.
  • the server After the server receives the acquisition request of the coupon threshold sent by the client, the server performs calculation and sends the calculated coupon threshold to the client.
  • the coupon threshold is determined based on an average amount of the order amount calculated according to historical order data under the store category and a discount rate of the coupon under the category of the store.
  • the method includes:
  • the mark is displayed in the order amount average-order number relationship graph.
  • the client will mark the received coupon threshold in the order amount average-order number relationship graph and display the mark, for example, the mark of "recommended ticket threshold 45 yuan" displayed on the abscissa in FIG.
  • the average amount of the order corresponding to the store category of the store can be increased, so the waveform of the order amount average-order number will change with the increase of the coupon threshold.
  • the best preferred solution is to use the unit price of the store under the category of the store as the average amount of the order amount under the category of the store.
  • Step S303 configuring the coupons in the store category in the store according to the coupon threshold and the coupon discount rate in the store category.
  • the step of configuring the coupons in the store category according to the coupon threshold and the coupon discount rate in the store category is implemented as follows: :
  • a confirmation instruction of the coupon scheme is submitted to the server.
  • the client displays the received coupon threshold mark in the order amount average-order number relationship graph
  • an interface for confirming the coupon scheme will pop up.
  • the best preferred solution is to use the unit price of the store under the category of the store as the average amount of the order amount under the category of the store. Referring to FIG. 7, it is necessary to obtain the promotion start time, the preferential termination time, and the promotion rate of the pen unit price corresponding to the store, and collect the coupon threshold and the coupon discount rate together to configure the coupon.
  • the start time of the coupon and the end time of the coupon can be set by the server, or can be set by the store itself, which is not limited herein.
  • the increase rate of the unit price is estimated based on the number of orders in the historical order data and the calculated coupon threshold.
  • the coupon of “45 yuan per full minus 5 yuan” is configured, and the increase rate of the unit price is 16%.
  • the confirmation order of the coupon plan is obtained, and then the corresponding coupon is generated, and the confirmation instruction of the coupon plan is submitted to the server. For example, when the control of "confirm marketing" in Fig. 7 is triggered, a coupon of the corresponding coupon scheme is generated, and an instruction of "confirm marketing" is sent to the server.
  • a coupon configuration apparatus provided by the present application is implemented as follows:
  • a coupon configuration method is provided.
  • the present application further provides a coupon configuration apparatus.
  • the device embodiment is basically similar to the method embodiment, the description is relatively simple. For related parts, refer to the corresponding description of the embodiment of the coupon configuration method provided above.
  • the device embodiments described below are merely illustrative and will be described below in conjunction with the drawings.
  • FIG. 8 is a schematic structural diagram of a coupon configuration apparatus provided by an embodiment of the present application, including the following units.
  • a coupon threshold obtaining request submitting unit 801 configured to detect that a control for setting a coupon threshold is triggered, and submit a request for obtaining a coupon threshold to the server;
  • a coupon threshold receiving unit 802 configured to receive a coupon threshold of a current store category of the store sent by the server; the coupon threshold is based on an average amount of the order amount calculated according to the historical order data of the store category The coupon discount rate is determined under the category of the store;
  • the coupon arranging unit 803 is configured to configure, according to the coupon threshold and the coupon discount rate in the store category, the coupons in the store category in the store.
  • the coupon threshold configuration device further includes:
  • the relationship graph generation sub-unit is configured to generate a graph of the average amount of the order amount-order number determined by the mean value of the order amount as the abscissa and the order number as the ordinate;
  • the relationship graph display subunit is configured to display the order amount average value-order number relationship graph on the corresponding interface of the set coupon threshold.
  • the coupon threshold configuration device further includes:
  • a coupon threshold sub-unit for marking the coupon threshold in a corresponding position in the order amount average-order number relationship graph
  • the coupon threshold display subunit is configured to display the mark in the order amount average-order number relationship graph.
  • the coupon configuration unit 803 includes:
  • the other configuration data acquisition sub-unit is configured to obtain the preferential start time, the preferential termination time, and the pen unit price increase ratio corresponding to the store;
  • a coupon configuration subunit configured to: at the store according to the coupon threshold, the coupon discount rate, the offer start time, the offer termination time, and the pen unit price increase ratio Coupons under the category are configured;
  • a coupon generation subunit configured to generate a coupon according to the confirmation instruction of the received coupon scheme
  • the confirmation instruction submission sub-unit of the coupon scheme is configured to submit a confirmation instruction of the coupon scheme to the server.
  • An electronic device implementation provided by the present application is as follows:
  • a coupon threshold calculation method is provided.
  • the present application further provides an electronic device for implementing the coupon threshold calculation method, which will be described below with reference to the accompanying drawings.
  • FIG. 9 it is a schematic diagram of an electronic device provided by an embodiment of the present application, including:
  • the memory 902 is configured to store computer executable instructions, and the processor 901 is configured to execute the computer executable instructions: acquiring a store category of the client corresponding store according to a request for obtaining a coupon threshold submitted by a client Historical order data;
  • the coupon threshold is sent to the client.
  • the determining, by the store category, a coupon threshold that satisfies the coupon usage condition is determined by:
  • a ratio of the average value of the order amount to the discount rate of the coupon is calculated as the coupon threshold.
  • the determining, by the store category, a coupon threshold that satisfies the coupon usage condition is determined by:
  • the historical order data in the store category includes:
  • the order amount, order time, and the number of orders in the preset time threshold interval are the order amount, order time, and the number of orders in the preset time threshold interval.
  • the calculating the store according to the historical order data Before the execution of the order amount average instruction under the category, the following operations are performed:
  • the amount of the order generated by the unused coupon payment is filtered out from the historical order data according to whether or not the coupon is used for screening.
  • the calculating, according to the historical order data, an order amount average instruction in the store category includes:
  • processor 901 is further configured to execute the following instructions:
  • Another electronic device implementation provided by the present application is as follows:
  • a coupon configuration method is provided.
  • the present application further provides an electronic device for implementing the coupon configuration method, which will be described below with reference to the accompanying drawings.
  • FIG. 10 it is a schematic diagram of another electronic device provided by an embodiment of the present application, including:
  • the memory 1002 is configured to store computer executable instructions, and the processor 1001 is configured to execute the computer executable instructions: detecting that a control for setting a coupon threshold is triggered, and submitting a request for obtaining a coupon threshold to a server;
  • the coupon threshold is based on an average amount of the order amount calculated according to the historical order data of the store category and a coupon discount under the store category Rate determination
  • the coupons in the store category are arranged for the store based on the coupon threshold and the coupon discount rate under the store category.
  • the detecting that the setting of the coupon threshold is triggered is triggered, and before the execution of the acquisition request command for submitting the coupon threshold to the server, the following operations are performed:
  • the order value average-order number relationship graph is displayed on the corresponding interface of the set coupon threshold.
  • the mark is displayed in the order amount average-order number relationship graph.
  • the configuration instruction for the coupon in the store category of the store is implemented in the following manner:
  • a confirmation instruction of the coupon scheme is submitted to the server.
  • a computing device includes one or more processors, input/output interfaces, network interfaces, and memory.
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device.
  • computer readable media does not include non-transitory computer readable media, such as modulated data signals and carrier waves.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware.
  • the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

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Abstract

一种优惠券门槛计算方法，包括：根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据（S101）；根据所述历史订单数据计算所述门店类目下的订单金额均值（S102）；根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛（S103）；将所述优惠券门槛发送至所述客户端（S104）。所述优惠券门槛计算方法在考虑门店自身的经营状况的基础上，根据门店的历史订单数据来计算门店营销活动的优惠券门槛，配置更合理，减少了营销误伤，能够扩大门店的用户群体范围，给门店带来营收增益。

Description

优惠券门槛计算方法以及装置
本申请要求于2018年05月14日提交中国专利局、申请号为201810456418.1、发明名称为“优惠券门槛计算方法以及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及数据处理技术领域，具体涉及一种优惠券门槛计算方法及装置。本申请同时涉及一种优惠券配置方法及装置，以及两种电子设备。
背景技术
随着互联网技术的不断发展，很多基于互联网的服务应运而生，为了帮助商户的门店进行营销，往往会根据门店在线上服务平台交易产生的门店交易数据，同时结合线上服务平台丰富的行业知识，为门店推荐合适的营销活动。优惠券是营销方案中的一种营销方式，通过配置优惠券，可以拉升用户到店消费的笔单价，最终帮助门店提升营收，做好生意。比如以餐饮行业为例，口碑平台依据餐饮门店在口碑的交易数据以及口碑平台丰富的餐饮行业各个类目的类目信息，为餐饮门店配置优惠券，提升笔单价，以吸引更多的用户群体参与消费。
目前行业为门店配置优惠券，一般是根据行业的经验统一为门店配置，比如95折的优惠券，配置为每满50减5元，优惠券门槛为50元。
然而，这些统一折扣的优惠券门槛并没有考虑到门店自身的经营状况，往往配置不恰当。不同的门店的消费用户群体是不同的，交易情况也是不同的。即使门店位于的区域一致，客户群也基本一致，对应的笔单分布也会有所不同，而笔单价可以反映门店自身的经营状况。不同优惠券门槛的优惠券带来的营销效益不同，如果配置不恰当会带来营销误伤。例如，相同的折扣，低门槛券比高门槛券可使用的用户更多，如果配置不恰当，带来的营销误伤相对较大；在快餐、小吃等餐饮行业，即使是一元或者几元的优惠券门槛差异，如果配置不恰当，带来的营销误伤也会很大。
发明内容
本申请提供一种优惠券门槛计算方法、优惠券配置方法，以解决现有优惠券门槛没有考虑到门店自身的经营状况、配置不恰当的问题。本申请另外提供一种优惠券门槛计算装置、优惠券配置装置，以及两种电子设备。
本申请提供一种优惠券门槛计算方法，包括：
根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
根据所述历史订单数据计算所述门店类目下的订单金额均值；
根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
将所述优惠券门槛发送至所述客户端。
可选的，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛步骤，采用如下方式确定：
计算所述订单金额均值与所述优惠券折扣率的比值，作为所述优惠券门槛。
可选的，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛步骤，采用如下方式确定：
计算所述订单金额均值与所述优惠券折扣率的比值，将大于所述订单金额均值与所述优惠券折扣率的比值的任意取值，作为所述优惠券门槛。
可选的，所述门店类目下的历史订单数据包括：
订单金额、订单时间、预设时间阈值区间的订单数。
可选的，所述根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据步骤之后，所述根据所述历史订单数据计算所述门店类目下的订单金额均值步骤之前，包括:
根据所述订单时间，从所述历史订单数据中筛选出满足预设时间阈值区间的订单金额；
按照订单金额排序，从所述历史订单数据中筛选出未包含异常数据的订单金额；
按照是否使用优惠券进行筛选，从所述历史订单数据中筛选出未使用优惠券支付产生的订单金额。
可选的，所述根据所述历史订单数据计算所述门店类目下的订单金额均值步骤包括：
计算所述预设时间阈值区间的订单金额的总和，获得所述预设时间阈值区间的总订单金额；
计算所述预设时间阈值区间的总订单金额与所述预设时间阈值区间的订单数的比值，获得所述门店在所述门店类目下的笔单价，作为所述门店类目下的订单金额均值。
可选的，所述优惠券门槛计算方法还包括：
根据所述历史订单数据中包含的订单数，结合所述优惠券门槛，计算所述优惠券门槛的所述笔单价提升比率；
向所述客户端发送所述笔单价提升比率。
本申请还提供一种优惠券门槛计算装置，包括：
历史订单数据获取单元，用于根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
订单金额均值计算单元，用于根据所述历史订单数据计算所述门店类目下的订单金额均值；
优惠券门槛确定单元，用于根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
优惠券门槛发送单元，用于将所述优惠券门槛发送至所述客户端。
本申请还提供一种优惠券配置方法，包括：
检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
可选的，所述检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求步骤之前，包括：
获取历史订单数据；
生成以订单金额均值为横坐标、订单数为纵坐标确定的订单金额均值-订单数关系曲线图；
在所述设置优惠券门槛的对应界面展示所述订单金额均值-订单数关系曲线 图。
可选的，所述接收所述服务端发送的当前门店的门店类目下的优惠券门槛步骤之后，包括：
将所述优惠券门槛在订单金额均值-订单数关系曲线图中的对应位置进行标记；
在所述订单金额均值-订单数关系曲线图中显示所述标记。
可选的，所述根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置步骤，采用如下方式实现：
获取所述门店对应的优惠起始时间、优惠终止时间、笔单价提升比率；
根据所述优惠券门槛、所述优惠券折扣率、所述优惠起始时间、所述优惠终止时间、所述笔单价提升比率，针对所述门店在所述门店类目下的优惠券进行配置；
根据接收到的优惠券方案的确认指令，生成优惠券；
将所述优惠券方案的确认指令提交至所述服务端。
本申请还提供一种优惠券配置装置，包括：
优惠券门槛获取请求提交单元，用于检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
优惠券门槛接收单元，用于接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
优惠券配置单元，用于根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
本申请还提供一种电子设备，包括：
存储器和处理器；
所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
根据所述历史订单数据计算所述门店类目下的订单金额均值；
根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
将所述优惠券门槛发送至所述客户端。
本申请还提供一种电子设备，包括：
存储器和处理器；
所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
与现有技术相比，本申请具有以下优点：
本申请根据获取的门店的门店类目下的历史订单数据，计算门店类目下的订单金额均值，进而根据所述门店类目下的订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛。所述优惠券门槛计算方法在考虑门店自身的经营状况的基础上，根据门店的历史订单数据来计算门店营销活动的优惠券门槛，配置更合理，减少了营销误伤，能够扩大门店的用户群体范围，给门店带来营销增益。
附图说明
图1是本申请实施例提供的一种优惠券门槛计算方法的处理流程图；
图2是本申请实施例提供的一种优惠券门槛计算装置的结构示意图；
图3是本申请实施例提供的一种优惠券配置方法实施例的处理流程图；
图4是本申请实施例提供的第一种优惠券配置功能界面的示意图；
图5是本申请实施例提供的第二种优惠券配置功能界面的示意图；
图6是本申请实施例提供的第三种优惠券配置功能界面的示意图；
图7是本申请实施例提供的第四种优惠券配置功能界面的示意图；
图8是本申请实施例提供的一种优惠券配置装置的结构示意图；
图9是本申请实施例提供的一种电子设备的示意图；
图10是本申请实施例提供的另一种电子设备的示意图。
具体实施方式
在下面的描述中阐述了很多具体细节以便于充分理解本申请。但是本申请能够以很多不同于在此描述的其它方式来实施，本领域技术人员可以在不违背本申请内涵的情况下做类似推广，因此本申请不受下面公开的具体实施的限制。
本申请是在服务端和客户端配合下共同完成的，本申请提供一种优惠券门槛计算方法及装置，一种优惠券配置方法及装置，以及两种电子设备。以下分别结合本申请提供的实施例的附图逐一进行详细说明。
本申请提供的一种优惠券门槛计算方法实施例如下：
本申请实施例的执行主体是服务端，如图1所示，其示出了本申请实施例提供的一种优惠券门槛计算方法的处理流程图，包括以下步骤。
步骤S101，根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据。
本申请需要对门店的优惠券进行合理配置，这其中非常重要的是如何配置合理的优惠券门槛。本申请实施例以餐饮行业为例，对本申请提供的所述优惠券门槛计算方法进行说明。除此之外，所述优惠券门槛计算方法还可以在餐饮行业之外的其他服务行业实施，比如酒店、游戏娱乐、丽人、按摩、运动健身等服务行业。对于这些服务行业的门店而言，同样存在通过发放优惠券和配置优惠券门槛来吸引用户参与消费，从而提升门店营收的目的，参照本申请提供的所述优惠券门槛计算方法实施例即可，此处不再一一赘述。
为门店推荐营销方案的优惠券门槛是基于门店的历史订单数据计算得到的，本步骤用于获取客户端对应门店的门店类目下的历史订单数据。客户端发起优惠券门槛的获取请求，服务端基于该获取请求，获取客户端对应门店的门店类目下的历史订单数据。所述历史订单数据既可以存储在服务端，也可以存储在客户端，本申请不予限定。服务端在接收到客户端发起的优惠券门槛的获取请求之后，既可以从服务端获取存储的历史订单数据，也可以从客户端获取存储的历史订单数据。
优惠券门槛，是指假设优惠券为满x元减y元的优惠券，那么优惠券门槛为x元。同时优惠券面额为y元，优惠券折扣率为1-y/x。一般的，为门店推荐优惠券，需要推荐两个值，优惠券门槛和优惠券折扣率(优惠券面额可以根据优惠券门槛和优惠券折扣率计算)。本申请实施例主要描述优惠券门槛的计算方案，并且假设优惠券折扣率已经给出。
门店类目，是指对门店进行分类的标记，是门店所属的行业，比如火锅、快餐等。一个门店可以对应多个门店类目，也可以对应一个门店类目，一般情况下，一个门店对应一个门店类目。
历史订单数据，门店对应门店类目下用户群体的历史订单数据，包括：订单金额、订单时间、预设时间阈值区间的订单数等。订单金额，针对门店对应门店类目下用户支付过程中的支付金额。订单时间，针对门店对应门店类目下用户支付的时间。
预设时间阈值区间，需要获取的时间阈值区间的历史订单数据对应的时间区间，根据计算需要进行预设设定。预设时间阈值区间的订单数，需要获取的时间阈值区间的历史订单数据的订单数。
以餐饮领域为例，客户端发起快餐类目优惠券门槛的获取请求，服务端基于该快餐类目优惠券门槛的获取请求，获取客户端对应门店的快餐类目下的历史订单数据。即获取客户端对应门店的快餐类目下的，每笔订单的订单金额、每笔订单的下单时间、预计时间阈值区间的订单数等。需要说明的是，此处的历史订单数据，是指用户完成支付的订单数据，不包含用户未完成订单的订单金额、订单时间等，是产生真实交易的数据。
优选的，所述根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据步骤之后，所述根据所述历史订单数据计算所述门店类目下的订单金额均值步骤之前，包括：根据所述订单时间，从所述历史订单数据中筛选出满足预设时间阈值区间的订单金额；按照订单金额排序，从所述历史订单数据中筛选出未包含异常数据的订单金额；按照是否使用优惠券进行筛选，从所述历史订单数据中筛选出未使用优惠券支付产生的订单金额。由此可见，服务端获取的客户端对应门店的门店类目下的历史订单数据包含不利于计算的数据，需要对历史订单数据进行过滤，筛选出满足计算条件、更加可信的数据。
具体的，需要对所述历史订单数据按照订单时间顺序进行排序，从所述历史订单数据中筛选出属于预设时间阈值区间的订单金额。截取历史订单数据不能选取所有的时间区间，需要选取其中的特定的时间区间进行计算。所述预设时间阈值区间需要预先设定，针对本申请实施例的方案，最佳的优选方案是将预设时间阈值区间设置为90天。因为用户在门店的订单数据随着季节周期性会有稍微的变化，进而不同的季度所计算出的结果也会有差别，采用最近90天的 历史订单数据，进而根据之前季度的历史订单数据计算下一个季度适用的优惠券门槛，为门店创造更大的收益。
进一步，需要对所述历史订单数据按照订单金额进行排序，从所述历史订单数据中过滤掉异常的订单金额的数据。最佳的优选方案是，去掉订单金额最高的5％的数据和订单金额最低的5％的数据，去除一些异常的订单金额的数据，从而保证计算用户分群的数据是可信的。
更进一步，需要对所述历史订单数据按照是否使用优惠券进行筛选，从所述历史订单数据中筛选出支付时未使用优惠券产生的订单金额，即所述历史订单数据不包含商家补贴的金额。因为本申请实施例要获取的是门店自身真实的经营状况，所以获取的数据采用交易中祛除商家补贴部分的订单金额，从而保证计算用户分群的数据是可信的。
步骤S102，根据所述历史订单数据计算所述门店类目下的订单金额均值。
本申请实施例是针对门店中与门店类目对应的历史订单数据计算优惠券门槛，而计算优惠券门槛需要先计算与门店类目对应的订单金额均值。
订单金额均值，是指根据用户群体的历史订单数据计算出的针对用户群体的订单金额的均值，反映用户群体的平均消费水平。订单金额均值可以是笔单价，也可以是其它能反映用户群体的平均消费能力的取值，例如客单价等。
优选的，所述根据所述历史订单数据计算所述门店类目下的订单金额均值步骤包括：
计算所述预设时间阈值区间的订单金额的总和，获得所述预设时间阈值区间的总订单金额；
计算所述预设时间阈值区间的总订单金额与所述预设时间阈值区间的订单数的比值，获得所述门店在所述门店类目下的笔单价，作为所述门店类目下的订单金额均值。
本申请实施例中，最佳的优选方案是将门店在门店类目下的笔单价，作为门店类目下的订单金额均值。门店比较关心笔单价，因为门店对应的商户，一般最关注的两个数据其中一个就是笔单价，另外一个是流水(门店的营收)。笔单价反映的是用户群体的平均消费水平，如果笔单价提升了，说明门店的门店类目对应的用户群体的平均消费水平也提升了。门店在做营销活动后，就会关注活动有没有拉升自己的笔单价以及营收有没有提升，通过拉升笔单价，进而帮助门店提升营收。所以在本申请实施例中，笔单价对之后优惠券门槛的设置 来说是一个十分重要的约束。
在门店交易的基础之上，对门店的全量交易取均值即是门店的笔单价。即先计算预设时间阈值区间的订单金额的总和，获得所述预设时间阈值区间的总订单金额。再计算预设时间阈值区间的总订单金额与所述预设时间阈值区间的订单数的比值，得出门店类目下对应用户群体的笔单价，即所述门店类目下的订单金额均值。
以餐饮行业为例，如果门店快餐类目下90天内的总金额为36000元，90天内快餐类目下总共订单数为1000，则门店快餐类目对应的笔单价为36元，说明该门店快餐类目下用户群体的平均消费水平为36元。门店在以后作活动的时候希望尽量使用户群体的平均消费水平大于36元，才能获得更多的营收，针对计算出的笔单价36元为以后配置优惠券时设置合理的优惠券门槛。
步骤S103，根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛。
本申请实施例是针对门店中与门店类目对应的历史订单数据计算优惠券门槛，而计算优惠券门槛需要先计算与门店类目对应的订单金额均值，再根据订单金额均值以及门店类目下优惠券折扣率进行确定。
为了确保门店的门店类目对应的订单金额均值在活动期间不降低，本申请实施例设置的优惠券门槛对应的优惠券，需使用户在使用优惠券进行满减之后的实际支付金额仍然大于或等于订单金额均值。订单金额均值反映用户群体的消费水平，当用户使用有优惠券进行满减之后的实际支付金额大于或等于订单金额均值时，说明提高了或维持了用户群体的消费水平。因此，在此前提下设置优惠券门槛是较为合理的优惠券门槛。不同的门店类目对应的订单金额均值是不相同的，那么推荐的优惠券门槛也是不同的，而且保证了优惠券满减之后支付金额仍然会大于或等于订单金额均值。
用户使用优惠券进行满减之后的实际支付金额为优惠券门槛与优惠券折扣率的乘积。因此可以根据所述订单金额均值以及所述门店类目下优惠券折扣率确定门店类目下的优惠券门槛。优惠券折扣率，是指假设优惠券为满x元(优惠券门槛为x元)减y元(优惠券面额为y元)的优惠券，则优惠券折扣率为1-y/x。优惠券折扣率对于不同的门店的门店类目是不同的，预先对不同的门店类目设置不同的优惠券折扣率。本申请实施例主要描述优惠券门槛的设置方案，假设优惠券折扣率已经给出。
设置优惠券门槛的前提条件可以用下述公式表示：
x*d＞＝z
其中，x为优惠券门槛，d为优惠券折扣率，z为订单金额均值。优惠券折扣率d假设是已知的，订单金额均值z是根据历史订单数据计算得出的，根据上述设置优惠券门槛的前提条件可以得出相应的优惠券门槛。
本申请实施例提供的一种优选实施方式中，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛，采用如下方式确定：
计算所述订单金额均值与所述优惠券折扣率的比值，作为所述优惠券门槛。计算方式可以用下述公式表示：
x＝z/d
其中，x为优惠券门槛，d为优惠券折扣率，z为订单金额均值。优惠券折扣率d假设是已知的，订单金额均值z是根据历史订单数据计算得出的，则优惠券门槛x等于订单金额均值z与优惠券折扣率d的比值
以餐饮行业为例，如果门店快餐类目下90天内的总金额为36000元，90天内快餐类目下总共订单数为1000，则门店快餐类目对应的笔单价为36元。预先设置优惠券折扣率为8折，则设置优惠券门槛为36/0.8＝45元。
当优惠券门槛为订单金额均值与优惠券折扣率的比值时，优惠券门槛与优惠券折扣率的乘积等于订单金额均值，说明用户在使用该优惠券门槛对应的优惠券后的实际支付金额仍然等于门店的门店类目原有的订单金额均值。而订单金额均值不包含商家补贴的金额，因此假定新统计的预设时间阈值区间的订单数不变的情况下，在预设时间阈值区间重新进行统计计算，新的订单金额均值会有所提升。
此处将订单金额均值与优惠券折扣率的比值设置为优惠券门槛，是指门店能承受的优惠券门槛里面的最低值，是为门店提供的最佳优惠券门槛。对应的优惠券为低门槛券，适用的用户群体最大，能带来门店能承受的优惠券门槛里面最好的营收，减少了营销误伤。
本申请实施例提供的另一种优选实施方式中，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛，采用如下方式确定：
计算所述订单金额均值与所述优惠券折扣率的比值，将大于所述订单金额均值与所述优惠券折扣率的比值的任意取值，作为所述优惠券门槛。计算方式可以用下述公式表示：
x＞z/d
其中，x为优惠券门槛，d为优惠券折扣率，z为订单金额均值。优惠券折扣率d假设是已知的，订单金额均值z是根据历史订单数据计算得出的，则优惠券门槛x为大于订单金额均值z与优惠券折扣率d的比值的任意取值
以餐饮行业为例，如果门店快餐类目下90天内的总金额为36000元，90天内快餐类目下总共订单数为1000，则门店快餐类目对应的笔单价为36元。预先设置优惠券折扣率为8折，则设置优惠券门槛为大于36/0.8＝45元的任意取值。
当优惠券门槛大于订单金额均值与优惠券折扣率的比值时，优惠券门槛与优惠券折扣率的乘积大于订单金额均值，说明用户在使用该优惠券门槛对应的优惠券后的实际支付金额仍然大于门店的门店类目原有的订单金额均值。用户在使用该优惠券门槛对应的优惠券后的实际支付金额仍然大于门店的门店类目原有的订单金额均值时，假定新统计的预设时间阈值区间的订单数不变的情况下，订单金额均值会增加。并且在此基础上，订单金额均值不包含商家补贴的金额，因此假定预设时间阈值区间订单数不变的情况下，在预设时间阈值区间重新进行统计计算，新的订单金额均值会有所提升。
此处将大于所述订单金额均值与所述优惠券折扣率的比值的任意取值，确定为所述优惠券门槛，是指门店能承受的提高订单金额均值的优惠券门槛，对应的优惠券为低门槛券到高门槛券不等，适用的用户群体更大，能带来更好的营收，减少了营销误伤。
需要说明的是，在本优选实施方案中，低门槛券对应的营收效果比高门槛券的营收效果要好。订单金额均值与优惠券折扣率的比值是门店能承受的优惠券门槛里面的最低值，是为门店提供的最佳优惠券门槛，优惠券门槛越贴近订单金额均值与优惠券折扣率的比值，所带来的营收效果越好。
步骤S104，将所述优惠券门槛发送至所述客户端。
客户端发起优惠券门槛的获取请求，服务端根据获取的门店的门店类目下的历史订单数据计算优惠券门槛，然后将计算好的优惠券门槛发送至所述客户端。
优选的，本申请实施例还包括以下步骤。
根据所述历史订单数据中包含的订单数，结合所述优惠券门槛，计算所述优惠券门槛的所述笔单价的提升比率；
向所述客户端发送所述笔单价的提升比率。
本申请实施例假设新统计的预设时间阈值区间的订单数不变的情况下，结合所述优惠券门槛，预估优惠券门槛对应的笔单价的提升比率。新统计的预设时间阈值区间的总订单金额会发生提高，在新统计的预设时间阈值区间的订单数不发生变化的情况下，笔单价必然会升高。根据设置的优惠券门槛预估预设时间阈值区间的总订单金额，进而根据预估的总订单金额以及预设时间阈值区间的订单数计算笔单价，从而计算笔单价的提升比率。
综上所述，本申请根据获取的门店的门店类目下的历史订单数据，计算门店类目下的订单金额均值，进而根据所述门店类目下的订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛。所述优惠券门槛计算方法在考虑门店自身的经营状况的基础上，根据门店的历史订单数据来计算门店营销活动的优惠券门槛，配置更合理，减少了营销误伤，能够扩大门店的用户群体范围，给门店带来营销增益。
本申请提供的一种优惠券门槛计算装置实施例如下：
在上述的实施例中，提供了一种优惠券门槛计算方法，与之相对应的，本申请还提供了一种优惠券门槛计算装置。
由于装置实施例基本相似于方法实施例，所以描述得比较简单，相关的部分请参见上述提供的优惠券门槛计算方法实施例的对应说明即可。下述描述的装置实施例仅仅是示意性的，下面结合附图进行说明。
如图2所示，其示出了本申请实施例提供的一种优惠券门槛计算装置的结构示意图，包括以下单元。
历史订单数据获取单元201，用于根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
订单金额均值计算单元202，用于根据所述历史订单数据计算所述门店类目下的订单金额均值；
优惠券门槛确定单元203，用于根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
优惠券门槛发送单元204，用于将所述优惠券门槛发送至所述客户端。
可选的，所述优惠券门槛确定单元203包括：
第一优惠券门槛确定子单元，计算所述订单金额均值与所述优惠券折扣率的比值，作为所述优惠券门槛。
可选的，所述优惠券门槛确定单元203包括：
第二优惠券门槛确定子单元，计算所述订单金额均值与所述优惠券折扣率的比值，将大于所述订单金额均值与所述优惠券折扣率的比值的任意取值，作为所述优惠券门槛。
可选的，所述门店类目下的历史订单数据包括：
订单金额、订单时间、预设时间阈值区间的订单数。
可选的，所述优惠券门槛计算装置还包括:
第一历史订单数据过滤子单元，用于根据所述订单时间，从所述历史订单数据中筛选出满足预设时间阈值区间的订单金额；
第二历史订单数据过滤子单元，用于按照订单金额排序，从所述历史订单数据中筛选出未包含异常数据的订单金额；
第一历史订单数据过滤子单元，用于按照是否使用优惠券进行筛选，从所述历史订单数据中筛选出未使用优惠券支付产生的订单金额。
可选的，所述订单金额均值计算单元202包括：
总订单金额计算子单元，用于计算所述预设时间阈值区间的订单金额的总和，获得所述预设时间阈值区间的总订单金额；
订单金额均值计算子单元，用于计算所述预设时间阈值区间的总订单金额与所述预设时间阈值区间的订单数的比值，获得所述门店在所述门店类目下的笔单价，作为所述门店类目下的订单金额均值。
可选的，所述优惠券门槛计算装置还包括：
笔单价提升比率计算单元，用于根据所述历史订单数据中包含的订单数，结合所述优惠券门槛，计算所述优惠券门槛的所述笔单价提升比率；
笔单价提升比率发送模块，用于向所述客户端发送所述笔单价提升比率。
本申请提供的一种优惠券配置方法实施例如下：
本申请实施例提供一种优惠券配置方法，与本申请上述提供的所述一种优惠券门槛计算方法相配合。请参看图3至图7，图3为本申请实施例提供的一种优惠券配置方法的处理流程图，图4至图7为本申请实施例提供的优惠券配置方法的功能界面的示意图。本申请实施例的执行主体是客户端，以下结合图3至图7对本申请实施例提供的一种优惠券配置方法进行详细说明。
如图3所示，其示出了本申请实施例提供的一种优惠券配置方法的处理流程图，包括以下步骤。
步骤S301，检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门 槛的获取请求。
本申请根据门店自身的经营状况设置优惠券门槛，当门店需要获取合理的优惠券门槛时，通过触发设置优惠券门槛的控件来启动这一操作，所述设置优惠券门槛的控件参见图4所示的“满减优惠券”控件。请参看图4，当图中“满减券门槛”控件被触发时，向服务端提交优惠券门槛的获取请求，服务端进而根据该获取请求进行优惠券门槛的计算。
优选的，请参看图4，所述检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求步骤之前，包括：
获取历史订单数据；
生成以订单金额均值为横坐标、订单数为纵坐标确定的订单金额均值-订单数关系曲线图；
在所述设置优惠券门槛的对应界面展示所述订单金额均值-订单数关系曲线图。
获取历史订单数据，根据历史订单数据在客户端设置优惠券门槛的相应界面生成以订单金额均值为横坐标、订单数为纵坐标确定的订单金额均值-订单数曲线图。本申请实施例中，最佳的优选方案是将门店在门店类目下的笔单价，作为门店类目下的订单金额均值。请参看图4，当前笔单价集中在30-40元，曲线图显示当笔单价为30-40元的情况下，所对应的订单数较大；当笔单价小于30元或者大于40元的情况下，所对应的订单数较小。
步骤S302，接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定。
在服务端接收到客户端发送的优惠券门槛的获取请求之后，服务端进行计算并将计算好的优惠券门槛发送至客户端。所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定。
优选的，请参看图5或图6，所述接收所述服务端发送的当前门店的门店类目下的优惠券门槛步骤之后，包括：
将所述优惠券门槛在订单金额均值-订单数关系曲线图中的对应位置进行标记；
在所述订单金额均值-订单数关系曲线图中显示所述标记。
客户端将接收到的优惠券门槛在订单金额均值-订单数关系曲线图中进行标 记，并显示该标记，例如，图5中，横坐标显示的“建议券门槛45元”的标记。根据服务端所计算的优惠券门槛，可以提升门店的门店类目对应的订单金额均值，因此订单金额均值-订单数的波形图会随着优惠券门槛的提升而有所变化。本申请实施例中，最佳的优选方案是将门店在门店类目下的笔单价，作为门店类目下的订单金额均值。请参看图6，当优惠券门槛设置为图中的“建议券门槛45元”时，笔单价集中分布区间会向右移，即图中的波峰会向右移，波峰会平移至新的笔单价集中分布的区间。
步骤S303，根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
优选的，请参看图7，所述根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置步骤，采用如下方式实现：
获取所述门店对应的优惠起始时间、优惠终止时间、笔单价提升比率；
根据所述优惠券门槛、所述优惠券折扣率、所述优惠起始时间、所述优惠终止时间、所述笔单价提升比率，针对所述门店在所述门店类目下的优惠券进行配置；
根据接收到的优惠券方案的确认指令，生成优惠券；
将所述优惠券方案的确认指令提交至所述服务端。
客户端将接收到的优惠券门槛标记显示在订单金额均值-订单数关系曲线图中后，会弹出确认优惠券方案的界面。本申请实施例中，最佳的优选方案是将门店在门店类目下的笔单价，作为门店类目下的订单金额均值。请参看图7，需要获取门店对应的优惠起始时间、优惠终止时间以及笔单价的提升比率，集合优惠券门槛、优惠券折扣率一起进行优惠券的配置。优惠券的起始时间和优惠券的终止时间可以通过服务端设定，也可以通过门店自行设定，此处不作限定。笔单价的提升比率根据历史订单数据中的订单数、计算出的优惠券门槛进行预估，例如，图7中，配置“每满45元减5元”的优惠券，笔单价的提升比率是16％。图7中还有其他配置选项，例如品牌名称、预计投入、可交易金额、更多设置等，可以通过服务端设定，也可以通过门店自行设定，此处不作限定。
针对所述门店在所述门店类目下的优惠券配置好后，获取优惠券方案的确认指令，进而生成相应的优惠券，并且将所述优惠券方案的确认指令提交至所述服务端。例如，当图7中“确认营销”的控件被触发时，则生成相应优惠券 方案的优惠券，并将“确认营销”的指令发送至服务端。
本申请提供的一种优惠券配置装置实施例如下：
在上述的实施例中，提供了一种优惠券配置方法，与之相对应的，本申请还提供了一种优惠券配置装置。
由于装置实施例基本相似于方法实施例，所以描述得比较简单，相关的部分请参见上述提供的优惠券配置方法实施例的对应说明即可。下述描述的装置实施例仅仅是示意性的，下面结合附图进行说明。
如图8所示，其示出了本申请实施例提供的一种优惠券配置装置的结构示意图，包括以下单元。
优惠券门槛获取请求提交单元801，用于检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
优惠券门槛接收单元802，用于接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
优惠券配置单元803，用于根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
可选的，所述优惠券门槛配置装置还包括：
历史订单数据获取子单元，用于获取历史订单数据；
关系曲线图生成子单元，用于生成以订单金额均值为横坐标、订单数为纵坐标确定的订单金额均值-订单数关系曲线图；
关系曲线图展示子单元，用于在所述设置优惠券门槛的对应界面展示所述订单金额均值-订单数关系曲线图。
可选的，所述优惠券门槛配置装置还包括：
优惠券门槛标记子单元，用于将所述优惠券门槛在订单金额均值-订单数关系曲线图中的对应位置进行标记；
优惠券门槛标记显示子单元，用于在所述订单金额均值-订单数关系曲线图中显示所述标记。
可选的，所述优惠券配置单元803包括：
其它配置数据获取子单元，用于获取所述门店对应的优惠起始时间、优惠终止时间、笔单价提升比率；
优惠券配置子单元，用于根据所述优惠券门槛、所述优惠券折扣率、所述 优惠起始时间、所述优惠终止时间、所述笔单价提升比率，针对所述门店在所述门店类目下的优惠券进行配置；
优惠券生成子单元，用于根据接收到的优惠券方案的确认指令，生成优惠券；
优惠券方案的确认指令提交子单元，用于将所述优惠券方案的确认指令提交至所述服务端。
本申请提供的一种电子设备实施例如下：
在上述的实施例中，提供了一种优惠券门槛计算方法，此外，本申请还提供了一种用于实现所述优惠券门槛计算方法的电子设备，下面结合附图进行说明。
如图9所示，其示出了本申请实施例提供的一种电子设备的示意图，包括：
存储器902和处理器901；
所述存储器902用于存储计算机可执行指令，所述处理器901用于执行所述计算机可执行指令：根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
根据所述历史订单数据计算所述门店类目下的订单金额均值；
根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
将所述优惠券门槛发送至所述客户端。
可选的，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛指令，采用如下方式确定：
计算所述订单金额均值与所述优惠券折扣率的比值，作为所述优惠券门槛。
可选的，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛指令，采用如下方式确定：
计算所述订单金额均值与所述优惠券折扣率的比值，将大于所述订单金额均值与所述优惠券折扣率的比值的任意取值，作为所述优惠券门槛。
可选的，所述门店类目下的历史订单数据包括：
订单金额、订单时间、预设时间阈值区间的订单数。
可选的，所述根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据指令执行后，所述根据所述历史订单数据计算所述门店类目下的订单金额均值指令执行前，执行以下操作:
根据所述订单时间，从所述历史订单数据中筛选出满足预设时间阈值区间的订单金额；
按照订单金额排序，从所述历史订单数据中筛选出未包含异常数据的订单金额；
按照是否使用优惠券进行筛选，从所述历史订单数据中筛选出未使用优惠券支付产生的订单金额。
可选的，所述根据所述历史订单数据计算所述门店类目下的订单金额均值指令包括：
计算所述预设时间阈值区间的订单金额的总和，获得所述预设时间阈值区间的总订单金额；
计算所述预设时间阈值区间的总订单金额与所述预设时间阈值区间的订单数的比值，获得所述门店在所述门店类目下的笔单价，作为所述门店类目下的订单金额均值。
可选的，所述处理器901还用于执行以下指令：
根据所述历史订单数据中包含的订单数，结合所述优惠券门槛，计算所述优惠券门槛的所述笔单价提升比率；
向所述客户端发送所述笔单价提升比率。
本申请提供的另一种电子设备实施例如下：
在上述的实施例中，提供了一种优惠券配置方法，此外，本申请还提供了一种用于实现所述优惠券配置方法的电子设备，下面结合附图进行说明。
如图10所示，其示出了本申请实施例提供的另一种电子设备的示意图，包括：
存储器1002和处理器1001；
所述存储器1002用于存储计算机可执行指令，所述处理器1001用于执行所述计算机可执行指令：检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
可选的，所述检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求指令执行前，执行以下操作：
获取历史订单数据；
生成以订单金额均值为横坐标、订单数为纵坐标确定的订单金额均值-订单数关系曲线图；
在所述设置优惠券门槛的对应界面展示所述订单金额均值-订单数关系曲线图。
可选的，所述接收所述服务端发送的当前门店的门店类目下的优惠券门槛指令执行后，执行以下操作：
将所述优惠券门槛在订单金额均值-订单数关系曲线图中的对应位置进行标记；
在所述订单金额均值-订单数关系曲线图中显示所述标记。
可选的，所述根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置指令，采用如下方式实现：
获取所述门店对应的优惠起始时间、优惠终止时间、笔单价提升比率；
根据所述优惠券门槛、所述优惠券折扣率、所述优惠起始时间、所述优惠终止时间、所述笔单价提升比率，针对所述门店在所述门店类目下的优惠券进行配置；
根据接收到的优惠券方案的确认指令，生成优惠券；
将所述优惠券方案的确认指令提交至所述服务端。
本申请虽然以较佳实施例公开如上，但其并不是用来限定本申请，任何本领域技术人员在不脱离本申请的精神和范围内，都可以做出可能的变动和修改，因此本申请的保护范围应当以本申请权利要求所界定的范围为准。
在一个典型的配置中，计算设备包括一个或多个处理器、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、 静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括非暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
本领域技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。

Claims (15)

  1. 一种优惠券门槛计算方法，其特征在于，包括：
    根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
    根据所述历史订单数据计算所述门店类目下的订单金额均值；
    根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
    将所述优惠券门槛发送至所述客户端。
  2. 根据权利要求1所述的优惠券门槛计算方法，其特征在于，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛步骤，采用如下方式确定：
    计算所述订单金额均值与所述优惠券折扣率的比值，作为所述优惠券门槛。
  3. 根据权利要求1所述的优惠券门槛计算方法，其特征在于，所述确定所述门店类目下满足所述优惠券使用条件的优惠券门槛步骤，采用如下方式确定：
    计算所述订单金额均值与所述优惠券折扣率的比值，将大于所述订单金额均值与所述优惠券折扣率的比值的任意取值，作为所述优惠券门槛。
  4. 根据权利要求1所述的优惠券门槛计算方法，其特征在于，所述门店类目下的历史订单数据包括：
    订单金额、订单时间、预设时间阈值区间的订单数。
  5. 根据权利要求4所述的优惠券门槛计算方法，其特征在于，所述根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据步骤之后，所述根据所述历史订单数据计算所述门店类目下的订单金额均值步骤之前，包括:
    根据所述订单时间，从所述历史订单数据中筛选出满足预设时间阈值区间的订单金额；
    按照订单金额排序，从所述历史订单数据中筛选出未包含异常数据的订单金额；
    按照是否使用优惠券进行筛选，从所述历史订单数据中筛选出未使用优惠券支付产生的订单金额。
  6. 根据权利要求5所述的优惠券门槛计算方法，其特征在于，所述根据所述历史订单数据计算所述门店类目下的订单金额均值步骤包括：
    计算所述预设时间阈值区间的订单金额的总和，获得所述预设时间阈值区间的总订单金额；
    计算所述预设时间阈值区间的总订单金额与所述预设时间阈值区间的订单数的比值，获得所述门店在所述门店类目下的笔单价，作为所述门店类目下的订单金额均值。
  7. 根据权利要求6所述的优惠券门槛计算方法，其特征在于，还包括：
    根据所述历史订单数据中包含的订单数，结合所述优惠券门槛，计算所述优惠券门槛的笔单价提升比率；
    向所述客户端发送所述笔单价提升比率。
  8. 一种优惠券门槛计算装置，其特征在于，包括：
    历史订单数据获取单元，用于根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
    订单金额均值计算单元，用于根据所述历史订单数据计算所述门店类目下的订单金额均值；
    优惠券门槛确定单元，用于根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
    优惠券门槛发送单元，用于将所述优惠券门槛发送至所述客户端。
  9. 一种优惠券配置方法，其特征在于，包括：
    检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
    接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
    根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
  10. 根据权利要求9所述的优惠券配置方法，其特征在于，所述检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求步骤之前，包括：
    获取历史订单数据；
    生成以订单金额均值为横坐标、订单数为纵坐标确定的订单金额均值-订单数关系曲线图；
    在所述设置优惠券门槛的对应界面展示所述订单金额均值-订单数关系曲线图。
  11. 根据权利要求9所述的优惠券配置方法，其特征在于，所述接收所述服务端发送的当前门店的门店类目下的优惠券门槛步骤之后，包括：
    将所述优惠券门槛在订单金额均值-订单数关系曲线图中的对应位置进行标记；
    在所述订单金额均值-订单数关系曲线图中显示所述标记。
  12. 根据权利要求9所述的优惠券配置方法，其特征在于，所述根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置步骤，采用如下方式实现：
    获取所述门店对应的优惠起始时间、优惠终止时间、笔单价提升比率；
    根据所述优惠券门槛、所述优惠券折扣率、所述优惠起始时间、所述优惠终止时间、所述笔单价提升比率，针对所述门店在所述门店类目下的优惠券进行配置；
    根据接收到的优惠券方案的确认指令，生成优惠券；
    将所述优惠券方案的确认指令提交至所述服务端。
  13. 一种优惠券配置装置，其特征在于，包括：
    优惠券门槛获取请求提交单元，用于检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
    优惠券门槛接收单元，用于接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
    优惠券配置单元，用于根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
  14. 一种电子设备，其特征在于，包括：
    存储器和处理器；
    所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：根据客户端提交的优惠券门槛的获取请求，获取所述客户端对应门店的门店类目下的历史订单数据；
    根据所述历史订单数据计算所述门店类目下的订单金额均值；
    根据所述订单金额均值以及所述门店类目下优惠券折扣率，确定所述门店类目下满足所述优惠券使用条件的优惠券门槛；
    将所述优惠券门槛发送至所述客户端。
  15. 一种电子设备，其特征在于，包括：
    存储器和处理器；
    所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：检测到设置优惠券门槛的控件被触发，向服务端提交优惠券门槛的获取请求；
    接收所述服务端发送的当前门店的门店类目下的优惠券门槛；所述优惠券门槛根据按照所述门店类目下历史订单数据计算的订单金额均值和所述门店类目下优惠券折扣率确定；
    根据所述优惠券门槛以及所述门店类目下优惠券折扣率，针对所述门店在所述门店类目下的优惠券进行配置。
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