CN112215650A - Automatic selection system and method for optimal advertisement promotion scheme - Google Patents
Automatic selection system and method for optimal advertisement promotion scheme Download PDFInfo
- Publication number
- CN112215650A CN112215650A CN202011085801.4A CN202011085801A CN112215650A CN 112215650 A CN112215650 A CN 112215650A CN 202011085801 A CN202011085801 A CN 202011085801A CN 112215650 A CN112215650 A CN 112215650A
- Authority
- CN
- China
- Prior art keywords
- advertisement
- delivery
- unit
- pool
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
-
- 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
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0254—Targeted advertisements based on statistics
Abstract
An automatic selection system for an optimal advertisement promotion scheme comprises a parameter acquisition module, a delivery module and an evaluation module; the parameter acquisition module is used for establishing a pre-delivery pool for advertisement delivery according to user setting; the delivery module comprises: the judging unit is used for judging whether the advertisement positions in the to-be-released pool can be released or not to generate a releasing pool; the releasing unit is used for releasing the advertisement to the releasing pool; the evaluation module comprises: the filtering unit is used for judging the delivery effectiveness of the advertisement positions in the delivery pool, eliminating the advertisement positions with abnormal delivery and generating an effective delivery pool; the sorting unit is used for sorting the effective delivery pools according to the key indexes set by the user in the user setting unit; forming an optimal advertisement promotion scheme by the sequenced first n advertisement positions, wherein n is a positive integer; the invention can accurately evaluate the advertisement putting effect aiming at the advertisement putting and improve the advertisement putting effect.
Description
Technical Field
The invention relates to the technical field of internet advertisements, in particular to an automatic selection system and method for an optimal advertisement promotion scheme.
Background
With the wide application of the internet, the internet advertisement is increasingly favored by advertisers. In the advertisement optimization process, a plurality of methods based on the evaluation of the clicking users appear, for example, the clicking users are classified and graded, and the possible consumption directions of the clicking users are predicted, so that a better putting effect is achieved. However, the method is still a prediction-based method, and has great uncertainty on the future behavior of the click user, even the current behavior of the click user.
In other methods, different marketing schemes are adopted for putting comparison, and the optimal putting scheme is obtained through the comparison of the putting effects of different groups, but the mode has practical significance only when the putting samples are large enough, otherwise, the difference of different advertisement positions can influence the result of the comparison.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an automatic selection system and method for an optimal advertisement promotion scheme, which can meet the requirements of difficult evaluation of the advertisement putting effect and improvement of the advertisement putting effect in advertisement putting.
In order to solve the technical problem, the invention provides an automatic selection system of an optimal advertisement promotion scheme, which comprises a parameter acquisition module, a delivery module and an evaluation module.
The parameter acquisition module comprises.
The user setting unit is used for acquiring the setting of the user on the advertisement; the setting comprises the preset direction setting and key indexes of the user to the advertisement putting object.
The user may also set budgets, including daily budgets, weekly budgets. The user may also set the maximum number of clicks allowed over a period of time.
The pre-putting pool unit is used for establishing a pre-putting pool for advertisement putting according to the pre-directional setting;
the releasing module comprises.
And the judging unit is used for judging whether the advertisement positions in the to-be-released pool can be released or not, and generating a releasing pool.
And the releasing unit is used for releasing the advertisements in the releasing pool.
The evaluation module comprises.
And the filtering unit is used for judging the delivery effectiveness of the advertisement positions in the delivery pool, rejecting the advertisement positions with abnormal delivery and generating an effective delivery pool.
The sorting unit is used for sorting the effective delivery pools according to the key indexes set by the user in the user setting unit; and forming an optimal advertisement promotion scheme by the sequenced first n advertisement slots, wherein n is a positive integer.
As an improvement of the above scheme, the judging unit judges again before the releasing unit releases each time, and updates the releasing pool.
Therefore, the throwing pool can be updated in time, timeliness is guaranteed, and the fact that the throwing pool is effectively and directly thrown when throwing is carried out every time is guaranteed by updating before throwing.
As an improvement of the scheme, the releasing units are released uniformly in a fixed period of time.
Preferably, the fixed period of time is one of 1 day, 2 days, 3 days.
Therefore, the advertising of each advertisement position can be kept in the same time length and time period, and the data comparison before each advertisement position is effective, so that the real optimal advertisement promotion scheme can be screened out.
As an improvement of the scheme, the advertisement positions with abnormal placement rejected by the filtering unit comprise placement duration insufficiency and click abnormity.
The insufficient delivery duration is caused by delivery interruption caused by closing of the advertisement space and the like. This usually means that the ad slot is unstable or the ad placement service is interrupted, etc., and cannot be included in the optimal ad promotion scheme. The abnormal click refers to the click number in a certain time period exceeding the value set by the user. This is usually because the click of the advertisement slot has an improper phenomenon, and it is determined as an abnormal click, so it cannot be listed in the optimal advertisement promotion scheme.
As an improvement of the scheme, the optimal advertisement promotion scheme generated by the sorting unit is formulated according to the budget of the user and the consumption of each advertisement space.
For example, the daily budget of a user is N, and the daily consumptions 8 before the best ad slot rank are a, b, c, d, e, f, g, and h in sequence. Where a + b + c < N, a + b + c + d > N, then the value closest to N of (a + b + c) and (a + b + c + d) is calculated. If (a + b + c + d) is the value closest to N, the first four advertisement positions are taken to form the optimal advertisement promotion scheme, and conversely, the first three advertisement positions are taken to form the optimal advertisement promotion scheme.
As an improvement of the scheme, the device further comprises an adjusting module, and the adjusting module comprises.
And the monitoring unit is used for adding or reducing the delivery of the advertisement space to the budget adjusted by the user.
After the advertisement is put for a period of time, the monitoring unit can also initiate the system again to update the optimal advertisement promotion scheme. The period of time is one of 1 month, 2 months, and 3 months.
And the adjusting unit is used for adjusting each advertisement delivery state, controlling the advertisement delivery not to exceed the budget and being capable of approaching the budget of the user.
As an improvement of the above scheme, when the user reduces the budget, the monitoring unit preferentially reduces the advertisement space with poor delivery effect; and when the budget is increased by the user, the monitoring unit acquires the advertisement space with the best delivery effect from the sequencing unit.
Correspondingly, the invention also provides an automatic selection method of the optimal advertisement promotion scheme, which comprises the following steps.
A. Acquiring the advertisement setting of the user by using the user setting unit; the setting comprises the preset direction setting and key indexes of the user to the advertisement putting object.
B. And establishing a pre-delivery pool for advertisement delivery according to the pre-directional setting by using the pre-delivery pool unit.
C. And judging whether the advertisement positions in the to-be-released pool can be released by using the judging unit to generate a releasing pool.
D. And using the releasing unit to release the advertisement in the releasing pool.
E. And judging the delivery effectiveness of the advertisement positions in the delivery pool by using the filtering unit, rejecting the advertisement positions with abnormal delivery, and generating an effective delivery pool.
F. Sorting the effective delivery pools by using the sorting unit according to the key indexes set by the user in the user setting unit; and forming an optimal advertisement promotion scheme by the sequenced first n advertisement slots, wherein n is a positive integer.
As an improvement of the scheme, the method further comprises the following steps.
G. The monitoring unit is used for adding or reducing the delivery of the advertisement space to the budget adjusted by the user.
H. The adjustment unit is used for adjusting each advertisement delivery state, and advertisement delivery is controlled not to exceed budget and can be close to user budget.
As an improvement of the scheme, the method further comprises the following steps.
I. And C, after the system operates for the period of time, re-triggering the step C and updating the optimal advertisement promotion scheme.
The invention has the following beneficial effects.
The invention obtains the real data of the advertisement putting by using the measured data, avoids the deviation brought by the related prediction algorithm, and therefore, the data is more accurate. The invention generates the optimal advertisement promotion scheme by sequencing the advertisement positions according to the most concerned indexes of the user, so that the screened advertisement positions have obvious effect. The invention judges the advertisement positions before putting, so that the put advertisement positions can be put, thereby ensuring that the putting is more efficient.
Drawings
Fig. 1 is a schematic structural diagram of a first embodiment of an automated selection system for an optimal advertisement promotion scheme according to the present invention.
Fig. 2 is a schematic structural diagram of a second embodiment of the automated selection system for an optimal advertisement promotion scheme according to the present invention.
Fig. 3 is a flowchart of a first embodiment of an automated optimal advertisement promotion scheme selection method according to the present invention.
Fig. 4 is a flowchart of a second embodiment of the automated selection method of an optimal advertisement promotion scheme according to the present invention.
Fig. 5 is a flowchart of a third embodiment of the automated selection method of an optimal advertisement promotion scheme according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
The first embodiment of the present invention provides an automatic selection system for an optimal advertisement promotion scheme, which includes a parameter obtaining module 100, a delivering module 200, and an evaluating module 300.
The parameter acquisition module 100 includes.
A user setting unit 101, configured to obtain a setting of an advertisement by a user; the setting comprises the preset direction setting and key indexes of the user to the advertisement putting object.
Specifically, the user setting unit 101 acquires all settings of the user for the advertisement. The content that the user can set comprises various parameters such as pre-orientation, key indexes, daily budget, weekly budget, target client age, target client gender and the like. When setting the pre-orientation, the user selects one or more of the orientation directions provided by the system, such as "education", "game", "e-commerce", "photography", "social", "finance", "travel", "food", "car", "health", "travel", "tools", etc., and the advertisement space provider needs to select one or more of the directions of the advertisement spaces from the same direction. The key index is the index that the user most intensely intends. Generally, the user will select different key metrics for different delivery purposes. If the goal of putting is to increase the popularity, the key index can be set as 'number of shows'; if the putting purpose is promotion and sale, the key index can be set as the click number or the conversion number; if the release purpose is to promote APP, the key index can be set as the 'download amount'. The key indexes can be selected from the index pool, and the common indexes include click number, click rate, display number, conversion rate and the like.
And the pre-delivery pool unit 102 is used for establishing a pre-delivery pool for advertisement delivery according to the pre-orientation setting.
Specifically, the pre-cast module 102 matches the matching directions in the ad slots that the system docks according to a predetermined direction set by the user. For example, if the user sets the pre-placement direction to be "food", the pre-placement module 102 will collect the advertisement spots containing "food" in all the configured orientations of the system docking to form a pre-placement pool.
The determining unit 201 is configured to determine whether the advertisement slots in the to-be-delivered pool are deliverable, and generate a delivery pool.
Specifically, since some ad spots have been delivered and cannot accept new ad spots, it is necessary to determine whether an ad spot is currently deliverable. If the user can not throw the product, no operation is carried out; and if the throwing can be carried out, adding the mixture into a throwing pool.
The judging unit judges again before each releasing unit releases the releasing unit and updates the releasing pool. When updating the release pool, the judging unit judges that the release pool is a pre-release pool instead of a last generated release pool. Therefore, the system screening range is wider, and an optimal advertisement promotion scheme can be obtained.
And the delivery unit 202 is used for delivering the advertisements to the delivery pool.
Specifically, the delivery units 202 are delivered uniformly over a fixed period of time. The fixed period of time is one of 1 day, 2 days, and 3 days. For example, if the placement unit 202 places an advertisement and plans to place the advertisement for 1 day, then from 8/month/17/18 in 2020: 00 beginning, 8 month by 2020, 18 days 18: 00, the advertising time is 24 hours, and in 2020, 8, month, 18 day: 00 collect the delivery data of each ad slot and include the key indicators set by the user.
The evaluation module 300 comprises.
And the filtering unit 301 is configured to judge the advertisement placement effectiveness of the advertisement placement in the placement pool, reject the advertisement placement with abnormal placement, and generate an effective placement pool.
Specifically, the filtering unit 301 determines from two aspects, namely stability and click quality, and the rejected ad spots with placement abnormalities include insufficient placement duration and click abnormalities. Following the above example, if an ad spot is 18/8/17/2020: 00 ad begins, but in 2020, 8, month, 18, day 10: 00 if the website is closed due to the website failure for one day, the website is rejected due to the incomplete display time. If a user can set a maximum 5-minute click rate of 10 when a placement is made, and the number of clicks of an ad slot reaches 15 in 5 consecutive minutes, the website is also rejected.
A sorting unit 302, configured to sort the effective delivery pools according to key indexes set by the user in the user setting unit 101; and forming an optimal advertisement promotion scheme by the sequenced first n advertisement slots, wherein n is a positive integer.
Specifically, if a key indicator set by a user is "click rate", the sorting unit sorts the advertisement bits filtered by the filtering unit 301 according to the "click rate" indicator, generates a sorted list, and sequentially numbers the advertisement bits with arabic numbers from high to low.
The sorting unit 302 calculates the total daily consumption a up to the nth according to the sorting list, and compares the total daily consumption a with the daily budget N set by the user to obtain the closest ranking as the optimal advertisement promotion scheme. For example, the daily consumption of the first 8 ad slots is 200, 220, 150, 180, 160, 154, 125, 165, respectively, while the user sets the daily budget as 888, and the total consumption of the first 4 ad slots is calculated to be 750 yuan/day and the total consumption of the first 5 ad slots is calculated to be 910 yuan/day. The total consumption of the first 5 ad spots is closer to the daily budget of the user, so the first 5 ad spots constitute an optimal advertisement promotion scheme.
According to the second embodiment of the present invention, an automatic selection system for an optimal advertisement promotion scheme is provided, which is different from the first embodiment, and further includes an adjustment module 400, where the adjustment module includes.
A monitoring unit 401, configured to add or reduce the advertisement placement to the budget adjusted by the user.
Specifically, when the user reduces the budget, the monitoring unit preferentially reduces the advertisement space with poor delivery effect; when the user increases the budget, the monitoring unit obtains the advertisement space with the best delivery effect from the sequencing unit. As in the above example, the daily consumptions of the top 8 are 200, 220, 150, 180, 160, 154, 125, 165, respectively, the user sets the daily budget 888, and the current optimal ad promotion scheme consists of the ad slots ranked top 5. If the budget is increased to 1000 yuan/day by the user, the monitoring unit 401 calculates the daily consumption of the first 6 advertisement slots to be 1064 yuan, and the optimal advertisement promotion scheme is updated to be composed of the first 6 advertisement slots closest to the budget set by the user; and if the 6 th advertisement position is changed into the non-delivery state when the budget is increased by the user, abandoning the 6 th advertisement position, evaluating the 7 th advertisement position, calculating to obtain the daily consumption of 1035 yuan which is closest to the budget set by the user, and updating the optimal advertisement promotion scheme into the composition of the first 5 th advertisement position and the 7 th advertisement position. If the budget of the user is reduced to 800 yuan, and the daily consumption of the first 4 is 750 yuan, which is the closest, the 5 th advertisement is removed, and the optimal advertisement promotion scheme is updated to the composition of the first 4.
After the system runs for 1 month, the monitoring unit 401 sends an instruction to the delivery module to trigger the system again, that is, the judgment unit 201 judges the pre-delivery pool, the delivery unit 202 delivers advertisement spots, and then the evaluation module performs filtering and sorting. Different from the first launching of the process, the launching unit of the second launching process only needs to carry out launching test on the advertisement positions outside the current optimal advertisement promotion scheme without influencing the launching of the current optimal advertisement promotion scheme.
An adjusting unit 402, configured to adjust each advertisement delivery status, control advertisement delivery not to exceed budget, and enable advertisement delivery to approach user budget.
Specifically, as in the previous example, the first 4 ad slots are the optimal ad promotion scheme, and the daily budget set by the user is 888 yuan. If a day is 21 pm: 00, the total consumption of 4 ad slots reaches 800 yuan, and according to the date data, the ad slot ranked on the 1 st name is 21: 00-24: when 00 consumes 100 yuan on average, the rest 3 ad slots are closed, and only the ad slot with the rank 1 is placed. If at 24: when the consumed amount reaches 888 yuan before 00, stopping putting; if the consumption of the advertisement space is obviously reduced compared with the consumption of the advertisement space on the previous day, the 2 nd advertisement space is added for putting.
Correspondingly, the invention also provides an automatic selection method of the optimal advertisement promotion scheme, which comprises the following steps.
S101, using the user setting unit to obtain the advertisement setting of the user; the setting comprises the preset direction setting and key indexes of the user to the advertisement putting object.
Specifically, the step is to embody the purpose of advertisement placement, and is also an index to be optimized by the present invention. This step is the basis for the subsequent steps of the present invention.
S102, establishing a pre-delivery pool for advertisement delivery according to pre-directional setting by using the pre-delivery pool unit.
Specifically, this step places all ad spots that meet the user's target orientation into a pre-placement pool. The pre-dosing pool remains unchanged in subsequent steps. Only when the advertisement space supported by the system changes, the pre-delivery pool changes correspondingly.
S103, judging whether the advertisement positions in the to-be-released pool can be released by using the judging unit, and generating a releasing pool.
Specifically, the steps eliminate advertisement spots that cannot be delivered, and assemble the advertisement spots that can be delivered in the pre-delivery pool into a delivery pool for the actual delivery test.
S104, using the putting unit to put the advertisement in the putting pool.
Specifically, in the step, a plurality of different advertisement positions are launched through the same advertisement, so that the difference of different advertisements is filtered, the conversion condition of each advertisement position to the advertisement can be effectively compared, and the optimal advertisement scheme is screened out.
And S105, judging the advertisement position putting effectiveness in the putting pool by using the filtering unit, eliminating the advertisement position with abnormal putting, and generating an effective putting pool.
Specifically, the step filters out the advertisement spots with abnormal indexes due to specific reasons, thereby ensuring that the advertisement spots participating in the sorting can really obtain better key indexes. Meanwhile, unstable advertisement positions can be filtered out in the step, and the stability of the actual advertisement putting is improved.
S106, sorting the effective delivery pools by using the sorting unit according to key indexes set by the user in the user setting unit; and forming an optimal advertisement promotion scheme by the sequenced first n advertisement slots, wherein n is a positive integer.
Specifically, the advertisement positions are sorted according to the key indexes, and an effective delivery pool which really meets the requirements of customers is obtained. Meanwhile, the number of the advertisement positions in the advertisement pool is determined according to the budget of the user, namely n is determined by the budget, so that the optimal advertisement putting effect in a certain budget can be achieved.
As another embodiment of the above method, different from the above method, the following steps are further included.
And S107, adding or reducing the delivery of the advertisement space to the budget adjusted by the user by using the monitoring unit.
In particular, this step enables identification of a user's budget adjustment, so that a user's budget change can be responded to quickly.
And S108, adjusting each advertisement delivery state by using the adjusting unit, and controlling the advertisement delivery not to exceed the budget and to be close to the user budget.
Specifically, the optimal advertisement promotion scheme is adjusted, so that the optimal delivery effect on the adjusted budget is achieved, and the budget requirement is met.
As another embodiment of the above method, different from the above method, the following steps are further included.
And S109, after the system runs for the period of time, re-triggering the step S103, and updating the optimal advertisement promotion scheme.
Specifically, the step is triggered regularly after a period of time, so that the optimal advertisement promotion scheme can be adjusted along with time, the change of advertisement positions can be well coped with, and the optimal advertisement promotion scheme is ensured to be dynamically adjusted.
It should be noted that the "advertisement slot" in the present invention does not refer to a location of a webpage or APP where an advertisement is shown, but refers to the smallest single operation unit recognizable by the system.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. An automatic selection system for an optimal advertisement promotion scheme is characterized in that: the system comprises a parameter acquisition module, a delivery module and an evaluation module;
the parameter acquisition module comprises:
the user setting unit is used for acquiring the setting of the user on the advertisement; the setting comprises the preset direction setting and key indexes of the user to the advertisement putting object;
the pre-putting pool unit is used for establishing a pre-putting pool for advertisement putting according to the pre-directional setting;
the delivery module comprises:
the judging unit is used for judging whether the advertisement positions in the to-be-released pool can be released or not to generate a releasing pool;
the releasing unit is used for releasing the advertisement to the releasing pool;
the evaluation module comprises:
the filtering unit is used for judging the delivery effectiveness of the advertisement positions in the delivery pool, eliminating the advertisement positions with abnormal delivery and generating an effective delivery pool;
the sorting unit is used for sorting the effective delivery pools according to the key indexes set by the user in the user setting unit; and forming an optimal advertisement promotion scheme by the sequenced first n advertisement slots, wherein n is a positive integer.
2. The system according to claim 1, wherein the determining unit determines again before each delivery of the delivering unit and updates the delivering pool.
3. The automated optimal advertising campaign selection system of claim 1, wherein the placement units are placed together over a fixed period of time.
4. An automated selection system for an optimal advertising campaign as recited in claim 3, wherein said fixed period of time is one of 1 day, 2 days, and 3 days.
5. The automated selection system of an optimal advertising promotion scheme according to claim 1, wherein the ad spots with abnormal placement that are rejected by the filtering unit include insufficient placement duration and click anomalies.
6. The automated optimal advertisement distribution scheme selection system of claim 1, wherein the optimal advertisement distribution scheme generated by the ranking unit is determined according to the budget of the user and the consumption of each advertisement slot.
7. The automated optimal advertising campaign selection system of claim 1, further comprising an adjustment module, said adjustment module comprising:
the monitoring unit is used for adding or reducing the delivery of the advertisement space to the budget adjusted by the user;
and the adjusting unit is used for adjusting each advertisement delivery state, controlling the advertisement delivery not to exceed the budget and being capable of approaching the budget of the user.
8. The automated optimal advertisement distribution scheme selection system according to claim 7, wherein when the user reduces the budget, the monitoring unit preferentially reduces the advertisement spots with poor placement effect; and when the budget is increased by the user, the monitoring unit acquires the advertisement space with the best delivery effect from the sequencing unit.
9. An automatic selection method for an optimal advertisement promotion scheme is characterized by comprising the following steps:
A. acquiring user settings for an advertisement using the user setting unit of any one of claims 1 to 6; the setting comprises the preset direction setting and key indexes of the user to the advertisement putting object;
B. establishing a pre-placement pool of advertising impressions according to the pre-targeting settings using a pre-placement pool unit according to any one of claims 1 to 6;
C. using the judging unit according to any one of claims 1 to 6 to judge whether the advertisement slots in the to-be-delivered pool are deliverable or not, and generating a delivered pool;
D. advertising the delivery pool using the delivery unit of any one of claims 1 to 6;
E. judging the effective delivery of the advertisement positions in the delivery pool by using the filtering unit of any one of claims 1 to 6, removing the advertisement positions with abnormal delivery, and generating an effective delivery pool;
F. sorting the effective delivery pools according to the key indexes set by the user in the user setting unit by using a sorting unit according to any one of claims 1 to 8; and forming an optimal advertisement promotion scheme by the sequenced first n advertisement slots, wherein n is a positive integer.
10. The method for automatically selecting an optimal advertisement promotion scheme according to claim 9, further comprising the steps of:
G. adding or subtracting impressions of ad slots to the user-adjusted budget using the monitoring unit of claim 7;
H. the adjustment unit of claim 7 is used to adjust the advertisement delivery status to control the advertisement delivery not to exceed the budget and to approach the user budget.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011085801.4A CN112215650A (en) | 2020-10-12 | 2020-10-12 | Automatic selection system and method for optimal advertisement promotion scheme |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011085801.4A CN112215650A (en) | 2020-10-12 | 2020-10-12 | Automatic selection system and method for optimal advertisement promotion scheme |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112215650A true CN112215650A (en) | 2021-01-12 |
Family
ID=74053608
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011085801.4A Pending CN112215650A (en) | 2020-10-12 | 2020-10-12 | Automatic selection system and method for optimal advertisement promotion scheme |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112215650A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113177813A (en) * | 2021-05-31 | 2021-07-27 | 上海苍苔信息技术有限公司 | Modular advertisement delivery system and method |
| CN113205375A (en) * | 2021-05-31 | 2021-08-03 | 上海苍苔信息技术有限公司 | Advertisement delivery system and method for automatically selecting platform according to advertiser purpose |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102110269A (en) * | 2011-02-25 | 2011-06-29 | 中兴通讯股份有限公司 | Advertisement releasing method and system |
| CN102592235A (en) * | 2011-12-28 | 2012-07-18 | 北京品友互动信息技术有限公司 | Internet advertisement serving system |
| CN104700288A (en) * | 2015-02-28 | 2015-06-10 | 深圳市同洲电子股份有限公司 | Internet advertising method and device |
| CN107977859A (en) * | 2017-11-14 | 2018-05-01 | 广州优视网络科技有限公司 | Advertisement placement method, device, computing device and storage medium |
| CN108665314A (en) * | 2018-05-11 | 2018-10-16 | 广州至真信息科技有限公司 | A kind of method that advertisement delivery system and advertisement are launched |
| CN110348908A (en) * | 2019-07-15 | 2019-10-18 | 西安点告网络科技有限公司 | Budget control method and device is launched in advertisement |
| CN111105268A (en) * | 2019-11-28 | 2020-05-05 | 微梦创科网络科技（中国）有限公司 | Advertisement putting cost adjusting method and device, storage medium and electronic equipment |
-
2020
- 2020-10-12 CN CN202011085801.4A patent/CN112215650A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102110269A (en) * | 2011-02-25 | 2011-06-29 | 中兴通讯股份有限公司 | Advertisement releasing method and system |
| CN102592235A (en) * | 2011-12-28 | 2012-07-18 | 北京品友互动信息技术有限公司 | Internet advertisement serving system |
| CN104700288A (en) * | 2015-02-28 | 2015-06-10 | 深圳市同洲电子股份有限公司 | Internet advertising method and device |
| CN107977859A (en) * | 2017-11-14 | 2018-05-01 | 广州优视网络科技有限公司 | Advertisement placement method, device, computing device and storage medium |
| CN108665314A (en) * | 2018-05-11 | 2018-10-16 | 广州至真信息科技有限公司 | A kind of method that advertisement delivery system and advertisement are launched |
| CN110348908A (en) * | 2019-07-15 | 2019-10-18 | 西安点告网络科技有限公司 | Budget control method and device is launched in advertisement |
| CN111105268A (en) * | 2019-11-28 | 2020-05-05 | 微梦创科网络科技（中国）有限公司 | Advertisement putting cost adjusting method and device, storage medium and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 鞠宏磊: "《程序化购买广告 时间与反思》", 31 January 2019, 山西人民出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113177813A (en) * | 2021-05-31 | 2021-07-27 | 上海苍苔信息技术有限公司 | Modular advertisement delivery system and method |
| CN113205375A (en) * | 2021-05-31 | 2021-08-03 | 上海苍苔信息技术有限公司 | Advertisement delivery system and method for automatically selecting platform according to advertiser purpose |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11769205B2 (en) | System and method for controlled market data delivery in an electronic trading environment | |
| CN112215650A (en) | Automatic selection system and method for optimal advertisement promotion scheme | |
| CN101071437A (en) | User classifying method, directional advertising launching method, device and system | |
| AU2017202243A1 (en) | Systems and methods for use in marketing | |
| AU2012267197A1 (en) | Systems and methods for use in marketing | |
| US20080065476A1 (en) | Online direct marketing system | |
| CN106651459A (en) | Advertisement putting method and device | |
| CN107491986A (en) | For controlling the method and device of advertising budget | |
| CN109615430A (en) | Distribution method and device are launched in a kind of advertisement | |
| CN110348908A (en) | Budget control method and device is launched in advertisement | |
| CN109067670A (en) | A kind of CDN dispatching method and CDN controlling equipment | |
| CN105727555B (en) | The upgrade method and upgrade-system of user gradation in social software | |
| CN109615442A (en) | RTB real time bid method based on excitation video ads | |
| CN106021341A (en) | A control method and device for sequencing presentation information in a user terminal | |
| CN110288377A (en) | Optimization method and device, storage medium and electronic device are launched in advertisement | |
| CN106600342A (en) | Advertisement delivery method and device | |
| CN115423541B (en) | Automatic advertisement scheduling and delivering method, device, equipment and storage medium | |
| CN105894199A (en) | Work order processing method and device | |
| CN111340581B (en) | Data processing method and device, readable storage medium and electronic equipment | |
| CN111861585A (en) | System and method for tracking flow of advertisement multi-level channel provider | |
| CN116188077A (en) | Advertisement putting method, device, electronic equipment and system | |
| RU127217U1 (en) | AUTOMATIC DEVICE FOR FLOATING PLACEMENT OF ADVERTISING MESSAGES IN THE NETWORK OF ADVERTISING PLACES | |
| CN105913169A (en) | Work order processing method and device | |
| KR20200092052A (en) | Outsourcing brokerage system | |
| CN110728535A (en) | Information processing method, hourglass system, subsystem and scheduling system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: Room 313-319, 3rd floor, building 3, room 418-420, 4th floor, 283 Jianguo West Road, Xuhui District, Shanghai 200031 Applicant after: Shanghai kuliang Technology Co.,Ltd. Address before: Room 313-319, 3rd floor, building 3, room 418-420, 4th floor, 283 Jianguo West Road, Xuhui District, Shanghai 200031 Applicant before: Shanghai kuliang Information Technology Co., Ltd |
|
| CB02 | Change of applicant information | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210112 |
|
| WD01 | Invention patent application deemed withdrawn after publication |