CN110599241A - Marketing scheme recommendation method and device - Google Patents
Marketing scheme recommendation method and device Download PDFInfo
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- CN110599241A CN110599241A CN201910787328.5A CN201910787328A CN110599241A CN 110599241 A CN110599241 A CN 110599241A CN 201910787328 A CN201910787328 A CN 201910787328A CN 110599241 A CN110599241 A CN 110599241A
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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
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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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
Abstract
The application discloses a marketing scheme recommendation method and device. The method comprises the following steps: acquiring sales information; calculating the total profit according to the marketing rule and the sales information; and sending the marketing plan to the user. By implementing the method and the system, marketing schemes with different marketing rules can be automatically and quickly provided for the user, the profit conditions of the marketing schemes can be automatically calculated, and the user can be helped to better market products.
Description
Technical Field
The application relates to the technical field of computers, in particular to a marketing scheme recommendation method and device.
Background
In the current market, the marketing rule is various, and along with different market environment and product form, the marketing rule is also different, if the marketing rule is not set well, the product can be caused to lose or not reach the condition of expected income, and when an enterprise or an individual carries out marketing activities, a large amount of time and energy are needed to calculate the rule and the cost.
Disclosure of Invention
The application provides a marketing scheme recommendation method and device, which can automatically and quickly provide marketing schemes with different marketing rules for users, automatically calculate profit conditions of the marketing schemes and help the users to better market products.
In a first aspect, the present application provides a marketing proposal recommendation method, including:
acquiring sales information, wherein the sales information comprises sales volume, sales unit price and sales profits;
calculating total profit according to marketing rules and the sales information;
sending a marketing plan to the user, the marketing plan including the total profit and the marketing rule.
In one possible implementation, the calculating the total profit according to the marketing rule and the sales information includes:
calculating a reward coefficient according to the marketing rule and the sales amount;
calculating a total reward amount according to the reward coefficient and the selling unit price;
and calculating the total profit according to the total reward amount and the sales profit.
In one possible implementation, the method further includes:
receiving a maximum profit request from the user;
and screening out the marketing scheme with the maximum total profit, and pushing the marketing scheme with the maximum total profit to the user.
In one possible implementation, the method further includes:
receiving scheme selection information of the user, wherein the scheme selection information comprises a marketing scheme selected by the user;
and if the total profit of the marketing scheme selected by the user is loss, sending prompt information to the user, wherein the prompt information is used for prompting the user that the marketing scheme selected by the user can cause loss.
In a second aspect, the present application provides a marketing proposal recommendation device, including:
an acquisition unit configured to acquire sales information including sales volume, sales unit price, and sales profit;
the calculating unit is used for calculating total profit according to marketing rules and the sales information;
a first sending unit for sending a marketing plan to a user, the marketing plan including the total profit and the marketing rule.
In a possible implementation manner, the calculating unit is specifically configured to calculate a reward coefficient according to the marketing rule and the sales amount; calculating a total reward amount according to the reward coefficient and the selling unit price; and calculating the total profit according to the total reward amount and the sales profit.
In one possible implementation, the apparatus further includes:
a first receiving unit for receiving a maximum profit request of the user;
and the screening unit is used for screening out the marketing scheme with the maximum total profit and pushing the marketing scheme with the maximum total profit to the user.
In one possible implementation, the apparatus further includes:
a second receiving unit, configured to receive scheme selection information of the user, where the scheme selection information includes a marketing scheme selected by the user;
and the second sending unit is used for sending prompt information to the user if the total profit of the marketing scheme selected by the user is loss, wherein the prompt information is used for prompting the user that the marketing scheme selected by the user can cause loss.
In a third aspect, the present application provides a server, including: a transceiver, a processor, and a memory; the transceiver, the processor and the memory are connected to each other by a bus; wherein the memory is configured to store a computer program comprising program instructions, and the processor is configured to invoke the program instructions to perform the method as set forth in the first aspect.
In a fourth aspect, the present application proposes a computer-readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to carry out the method according to the aspects.
In a fifth aspect, the embodiments of the present application provide a computer program product containing program instructions, which when run on a computer, cause the computer to perform the method according to the described aspects.
By implementing the method and the system, marketing schemes with different marketing rules can be automatically and quickly provided for the user, the profit conditions of the marketing schemes can be automatically calculated, and the user can be helped to better market products.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings required to be used in the embodiments or the background art of the present application will be described below.
FIG. 1 is a flow chart of a marketing proposal recommendation method set forth in the present application;
FIG. 2 is a flow chart of another marketing proposal recommendation method proposed by the present application;
fig. 3 is a flowchart of a specific application scenario of a marketing proposal recommendation method proposed in the present application;
fig. 4 is a schematic structural diagram of a marketing proposal recommendation device proposed in the present application;
fig. 5 is a schematic structural diagram of a server according to the present application.
Detailed Description
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, or apparatus.
In the current market, marketing rules are various, along with different market environments and product forms, the marketing rules are different, if the marketing rules are not set well, loss of products or unexpected benefits of the products can be caused, and enterprises or individuals need to spend a large amount of time and energy to calculate rules and cost when carrying out marketing activities.
Fig. 1 is a flowchart of a marketing proposal recommendation method proposed in the present application, wherein the method comprises the following steps:
101. and obtaining the sales information.
Specifically, sales information is acquired, which may be sales volume, sales unit price, sales profit, and sales cost. Different sales information can be obtained for different products.
102. And calculating the total profit according to the marketing rule and the sales information.
Specifically, a reward coefficient is obtained through calculation according to marketing rules and sales volume, the reward coefficient can be the number of reward people, the single reward amount is set to be the sales unit price of the product, the total reward amount spent by the marketing scheme is the sales unit price multiplied by the number of reward people, the sales profit of the marketing scheme is known, and the total reward amount is subtracted from the sales profit to obtain the total profit of the marketing scheme. According to different marketing rules, the total profit of the marketing proposal under different marketing rules can be calculated,
103. and sending the marketing plan to the user.
Specifically, a marketing plan, which may be a total profit versus marketing rule, is sent to the user. The device can also judge whether the total profit of the marketing scheme is profit or loss and send profit and loss information to the user, wherein the profit and loss information is used for prompting the user about the total profit of the marketing scheme.
By implementing the embodiment of the application, marketing schemes with different marketing rules can be automatically and quickly provided for users, the profit conditions of the marketing schemes are automatically calculated, and the users are helped to better market products.
Fig. 2 is a flowchart of another marketing proposal recommendation method proposed in the present application, which includes the following steps:
201. and obtaining the sales information.
Specifically, sales information is acquired, and the sales information may be sales volume, sales unit price, sales profit, and sales cost. Different sales information can be obtained for different products.
202. And calculating the reward coefficient according to the marketing rule and the sales volume.
Specifically, the reward coefficient corresponding to different marketing rules can be calculated by a formula algorithm, wherein the reward coefficient is (sales volume-1) ÷ marketing rule (capacity). The marketing rule may be 5 out of 1, i.e., 1 out of every 5 people wins, then the marketing rule is 5 in the above formula. The sales volume in the above formula is the sales volume in the sales information. The calculated bonus coefficient may be the number of bonus persons, and since the number of bonus persons must be an integer, the bonus coefficient is corrected to an integer when the calculated bonus coefficient is a decimal number. The method of correction for the prize coefficient may be to round or remove the decimal place.
203. And calculating the total reward amount according to the reward coefficient and the selling unit price.
Specifically, the policy exemption rule is selected, that is, the reward amount of a single person is the selling unit price of the product, and the reward coefficient is multiplied by the selling unit price to obtain the total reward amount.
204. And calculating the total profit according to the total reward amount and the sales profit.
Specifically, the total profit is obtained by subtracting the total reward amount from the sales profit. If the total profit is positive, the marketing plan is profitable, and if the total profit is negative, the marketing plan is loser.
205. And sending the marketing plan to the user.
Specifically, a marketing plan, which may be a total profit versus marketing rule, is sent to the user. The device can also judge whether the total profit of the marketing scheme is profit or loss and send profit and loss information to the user, wherein the profit and loss information is used for prompting the user about the total profit of the marketing scheme.
206. Receiving the maximum profit request of the user.
Specifically, if the user needs the marketing plan with the maximum profit, the maximum profit request of the user is received.
207. And screening out the marketing scheme with the maximum total profit, and pushing the marketing scheme with the maximum total profit to the user.
Specifically, the marketing information is determined, the total reward amount of different marketing schemes under different marketing rules is calculated according to preset marketing rules, the total profit in the marketing information is subtracted by the total reward amount to obtain the total profits of the different marketing schemes under the different marketing rules, the marketing scheme with the maximum total profit is screened out, and the pushing information is sent to the user and can carry the marketing scheme with the maximum total profit and the total profit of the marketing scheme.
208. And receiving scheme selection information of the user.
Specifically, if the user freely selects the marketing scheme, the scheme selection information of the user is received, and the scheme selection information may carry the marketing scheme selected by the user.
209. And if the total profit of the marketing scheme selected by the user is loss, sending prompt information to the user.
Specifically, the total profit of the marketing scheme selected by the user is calculated, and if the total profit of the marketing scheme selected by the user is a loss, a prompt message is sent to the user, wherein the prompt message is used for prompting the user whether the marketing scheme selected by the user will cause the loss, and whether the marketing scheme is continuously selected. This step is carried out in order to avoid as much as possible loss marketing for the user.
By implementing the embodiment of the application, marketing schemes with different marketing rules can be automatically and quickly provided for users, the profit conditions of the marketing schemes are automatically calculated, and the users are helped to better market products.
Fig. 3 is a flowchart of a specific application scenario of a marketing proposal recommendation method proposed in the present application, where the method includes the following steps:
301. and obtaining the sales information.
For example, the sales information of a product is obtained, and the sales information of the product may be: the yield is 1000, the single cost is 1 yuan, the expected profit is 20%, the selling price is 1.2 yuan, the total profit is 1200 yuan, and the net profit is 200 yuan.
302. And calculating the reward coefficient according to the marketing rule and the sales volume.
For example, using the formula: the reward factor is (sales-1) ÷ marketing rule (capacity).
When the marketing rule is 2 out of 1, the reward coefficient is (1000-1) ÷ 2 ═ 499.5. I.e. equivalent to 499 people, will receive a reward. If the marketing rule is 6 out 1, the reward coefficient is (1000-1)/6-166.5. Equivalent to 166 people will receive a reward. When the marketing rule is 10 out of 1, the reward coefficient is (1000-1)/10-99.5. Equivalent to 99 people receiving a reward.
303. And calculating the total reward amount according to the reward coefficient and the selling unit price.
For example, the policy exemption rule is selected, and the single reward amount is 1.2 yuan per product unit price. Multiplying the reward factor by the sales unit price yields the total reward amount. For example, when the marketing rule is 2 out 1, the reward coefficient is 499.5, because the number of the reward persons must be an integer, the reward coefficient is modified to be an integer 499, so the total reward amount is 499 × 1.2-598.8-yuan; when the marketing rule is 6 out of 1, the reward coefficient is 166.5, and the reward coefficient is corrected to be an integer 166, so that the total reward amount is 166 multiplied by 1.2 yuan which is 199.8 yuan; when the marketing rule is 10 out of 1, the reward coefficient is 99.5, and the reward coefficient is corrected to be an integer of 99, so that the total reward amount is 99 multiplied by 1.2 yuan or 118.8 yuan.
304. And calculating the total profit according to the total reward amount and the sales profit.
For example, the sales profit is subtracted by the total award amount to obtain the total profit. For example, when the marketing rule is 2 out of 1, the total profit is 200 yuan to 598.8 yuan to 398.8 yuan, namely the loss is 398.8 yuan; when the marketing rule is 6 out of 1, the total profit is 200 yuan-199.8 yuan-0.2 yuan, namely profit 0.2 yuan; when the marketing rule is 10 out of 1, the total profit is 200 yuan to 118.8 yuan to 81.2 yuan, namely profit 81.2 yuan.
305. And sending the marketing plan to the user.
For example, a marketing plan, which may be 1 out of marketing rule 10 and 81.2 dollars in total profit, is sent to the user.
306. Receiving the maximum profit request of the user.
For example, if the user needs the most profitable marketing program, a maximum profit request is received from the user.
307. And screening out the marketing scheme with the maximum total profit, and pushing the marketing scheme with the maximum total profit to the user.
For example, determining sales information, the sales information for the product may be: the yield is 1000, the single cost is 1 yuan, the expected profit is 20%, the selling price is 1.2 yuan, the total profit is 1200 yuan, and the net profit is 200 yuan. The single award amount is 1.2 dollars. The preset marketing rules are 2 out 1, 3 out 1, 4 out 1, 5 out 1, 6 out 1, 7 out 1, 8 out 1, 9 out 1 and 10 out 1. And calculating the total profit of different marketing schemes under different marketing rules according to the preset marketing rule. It is found that the total profit of the marketing plan is the maximum when the marketing rule is 10 out 1. And pushing the marketing scheme to the user, wherein the marketing scheme can be that the single reward amount is 1.2 yuan, and the marketing rule is 10 out 1.
308. And receiving scheme selection information of the user.
For example, if the user freely selects, the scheme selection information of the user is received, and the scheme selection information may be the marketing scheme selected by the user: the yield is 1000, the single cost is 1 yuan, the predicted profit is 20%, the selling unit price is 1.2 yuan, the total income is 1200 yuan, the net profit is 200 yuan, the single reward amount is 1.2 yuan, and the marketing rule is 2 out 1.
309. And if the total profit of the marketing scheme selected by the user is loss, sending prompt information to the user.
For example, the total profit for the marketing program selected by the user is calculated. The reward factor of the marketing scheme selected by the user is (1000-1) ÷ 2 ═ 499.5, the total reward amount is 499 × 1.2 yuan ═ 598.8 yuan, the total profit is 200 yuan ═ 598.8 yuan ═ 398.8 yuan, i.e. loss 398.8 yuan. And sending prompt information to the user, wherein the prompt information is used for prompting the user whether the marketing scheme selected by the user can cause loss or not to continue to select the marketing scheme.
If the user selects a fixed amount allocation rule, namely the total reward amount is fixed, the total reward amount is divided by the reward coefficient to obtain the average reward amount obtained by each person. The average amount of the reward earned by each person is pushed to the user. For example, if the total award amount is 100 dollars and the award factor is 50, the average award amount obtained per person is 2 dollars.
By implementing the embodiment of the application, marketing schemes with different marketing rules can be automatically and quickly provided for users, the profit conditions of the marketing schemes are automatically calculated, and the users are helped to better market products.
Fig. 4 is a schematic structural diagram of a marketing proposal recommendation device proposed in the present application, the marketing proposal recommendation device comprising:
an obtaining unit 401, configured to obtain sales information, where the sales information includes sales volume, sales unit price, and sales profit;
a calculating unit 402, configured to calculate a total profit according to the marketing rule and the sales information;
a first sending unit 403, configured to send a marketing plan to a user, where the marketing plan includes the total profit and the marketing rule.
As shown in fig. 4, the calculating unit 402 is specifically configured to calculate a reward factor according to the marketing rule and the sales volume; calculating the total reward amount according to the reward coefficient and the sale unit price; and calculating the total profit according to the total reward amount and the sales profit.
Further, the above apparatus further comprises:
a first receiving unit 404, configured to receive a maximum profit request of the user;
and the screening unit 405 is configured to screen out the marketing scheme with the maximum total profit, and push the marketing scheme with the maximum total profit to the user.
Further, the above apparatus further comprises:
a second receiving unit 406, configured to receive scheme selection information of the user, where the scheme selection information includes a marketing scheme selected by the user;
a second sending unit 407, configured to send a prompt message to the user if the total profit of the marketing plan selected by the user is lost, where the prompt message is used to prompt the user that the marketing plan selected by the user will cause the loss.
It is understood that the specific implementation of the marketing proposal recommendation device shown in fig. 4 can also refer to the methods shown in fig. 1, fig. 2 and fig. 3, and the detailed description is omitted here.
In the embodiment of the present application, the obtaining unit 401 obtains sales information, where the sales information includes sales volume, sales unit price, and sales profit; the calculating unit 402 calculates the total profit according to the marketing rule and the sales information; the first sending unit 403 sends a marketing plan to the user, where the marketing plan includes the total profit and the marketing rule. Therefore, the marketing scheme with different marketing rules can be automatically and quickly provided for the user, the profit condition of the marketing scheme can be automatically calculated, and the user can be helped to better market the product.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application, where the apparatus includes: at least one processor 501, such as a Central Processing Unit (CPU), at least one memory 502, at least one transceiver 503, and at least one bus 504. The bus 504 may be a set of parallel data lines for interconnecting the processor 501, the memory 502 and the transceiver 503; the memory 502 may be a Random Access Memory (RAM) or a non-volatile memory (ROM), such as at least one Read Only Memory (ROM).
Specifically, the processor 501 obtains sales information, where the sales information includes sales volume, sales unit price, and sales profit; the processor 501 calculates a total profit according to the marketing rule and the sales information; the transceiver 503 transmits a marketing plan including the total profit and the marketing rule to the user.
Further, the processor 501 calculates a reward factor according to the marketing rule and the sales volume; the processor 501 calculates a total award amount according to the award coefficient and the sale unit price; the processor 501 calculates the total profit according to the total award amount and the sales profit.
Further, the transceiver 503 receives the maximum profit request of the user; the processor 501 screens out the marketing plan with the maximum total profit, and pushes the marketing plan with the maximum total profit to the user.
Further, the transceiver 503 receives scheme selection information of the user, where the scheme selection information includes a marketing scheme selected by the user; if the total profit of the marketing plan selected by the user is lost, the transceiver 503 transmits a prompt message to the user, and the prompt message is used to prompt the user that the marketing plan selected by the user will cause the loss.
In particular, the memory 502 may store program instructions, and the processor 501 may be configured to call the program instructions to perform the methods shown in fig. 1, fig. 2, and fig. 3.
Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program instructing associated hardware, the program may be stored in a computer-readable storage medium, which includes read-only memory (ROM), Random Access Memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, magnetic disk storage, tape storage, or any other medium readable by a computer that can be used to carry or store data.
The marketing scheme recommendation method and device disclosed in the embodiments of the present application are described in detail above, and the principle and the implementation manner of the present application are explained in the present application by applying specific examples, and the description of the embodiments above is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.
Claims (10)
1. A marketing proposal recommendation method, the method comprising:
acquiring sales information, wherein the sales information comprises sales volume, sales unit price and sales profits;
calculating total profit according to marketing rules and the sales information;
sending a marketing plan to the user, the marketing plan including the total profit and the marketing rule.
2. The method of claim 1, wherein calculating the total profit from marketing rules and the sales information comprises:
calculating a reward coefficient according to the marketing rule and the sales amount;
calculating a total reward amount according to the reward coefficient and the selling unit price;
and calculating the total profit according to the total reward amount and the sales profit.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
receiving a maximum profit request from the user;
and screening out the marketing scheme with the maximum total profit, and pushing the marketing scheme with the maximum total profit to the user.
4. The method according to claim 1 or 2, characterized in that the method further comprises:
receiving scheme selection information of the user, wherein the scheme selection information comprises a marketing scheme selected by the user;
and if the total profit of the marketing scheme selected by the user is loss, sending prompt information to the user, wherein the prompt information is used for prompting the user that the marketing scheme selected by the user can cause loss.
5. A marketing proposal recommendation apparatus, the apparatus comprising:
an acquisition unit configured to acquire sales information including sales volume, sales unit price, and sales profit;
the calculating unit is used for calculating total profit according to marketing rules and the sales information;
a first sending unit for sending a marketing plan to a user, the marketing plan including the total profit and the marketing rule.
6. The apparatus of claim 5,
the calculation unit is specifically used for calculating a reward coefficient according to the marketing rule and the sales amount;
calculating a total reward amount according to the reward coefficient and the selling unit price;
and calculating the total profit according to the total reward amount and the sales profit.
7. The apparatus of claim 5 or 6, further comprising:
a first receiving unit for receiving a maximum profit request of the user;
and the screening unit is used for screening out the marketing scheme with the maximum total profit and pushing the marketing scheme with the maximum total profit to the user.
8. The apparatus of claim 5 or 6, further comprising:
a second receiving unit, configured to receive scheme selection information of the user, where the scheme selection information includes a marketing scheme selected by the user;
and the second sending unit is used for sending prompt information to the user if the total profit of the marketing scheme selected by the user is loss, wherein the prompt information is used for prompting the user that the marketing scheme selected by the user can cause loss.
9. A server comprising a processor, a memory, and a transceiver; the processor, the memory and the transceiver are connected to each other by a bus; wherein the memory is for storing a computer program comprising program instructions, the processor being configured for invoking the program instructions for performing the method of any of claims 1 to 4.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 1 to 4.
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| CN109741116A (en) * | 2019-01-28 | 2019-05-10 | 王睿琪 | Product marketing method, device, server, storage medium and system |
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