CN106355432A - Method for monitoring effectiveness of television advertisements - Google Patents

Method for monitoring effectiveness of television advertisements Download PDF

Info

Publication number
CN106355432A
CN106355432A CN201610692758.5A CN201610692758A CN106355432A CN 106355432 A CN106355432 A CN 106355432A CN 201610692758 A CN201610692758 A CN 201610692758A CN 106355432 A CN106355432 A CN 106355432A
Authority
CN
China
Prior art keywords
order
data
user
platform
website
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
Application number
CN201610692758.5A
Other languages
Chinese (zh)
Inventor
徐丽萍
邹苇
包松
王旻毅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Focus Technology Co Ltd
Original Assignee
Focus Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Focus Technology Co Ltd filed Critical Focus Technology Co Ltd
Priority to CN201610692758.5A priority Critical patent/CN106355432A/en
Publication of CN106355432A publication Critical patent/CN106355432A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0242Determining effectiveness of advertisements
    • G06Q30/0245Surveys
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0273Determination of fees for advertising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement

Abstract

A method for monitoring effectiveness of television advertisements comprises following steps of 1) making advertising plans by professional departments of website platforms popularization to advertise paid-for advertisements on popularization channels and platforms such as search engines according to website advertising and popularization plans and classes,and then accumulate expenses according to user clicks on ads;2) docking effectively transformed payment orders with background systems of website platforms after users' interactions with website platforms when they log in websites through paid-for advertisements;3) dealing with the third party data, log data,background transaction data to get input stream,display stream,click stream,output stream and so on to store in corresponding modules so as to counting several keynote regulation index such as click rate,yield rate,guest unit price, contribution rate, input-output ratio and click expense.

Description

A kind of method of paid advertisement effect monitoring regulation and control
Technical field
The present invention relates to field is promoted in paid advertisement, in particular to a kind of paid advertisement effect monitoring and regulation and control system System.
Background technology
Ecommerce class platform website wants to have in network selling and quickly represents and stablize ranking, can occur the very first time In face of prospect, give potential customers certain sense of trust, it is necessary to push away in payment networks in addition to free nets is promoted simultaneously Make an effort on wide.Do so has return but similarly needs to pay, and needs continual input, could preferably see Benefit, just has more prospects to arrive.
The common payment networks way of promotion has sem, cps advertisement mode, the marketing of edm data, event propagation etc..In reality When carrying out the network promotion, the key word of sem search engine is bidded and is promoted often as the popularization brand mode that website is first-selected, this The sem mode being related in bright has 360cpc (360 click charging), bdcpc, sgcpc, ggcpc etc..Therefore, the click of key word Charge, extension and transform rate etc. consider most problems when then becoming selection.How could more reasonably integrate key word to promote, Become the important decision that website controls cost.
Paid promotion is key word bid ranking, is to need website to spend certain money, by way of having reimbursement Network puts into advertisement, promoted extension is expanded with this, so that website preferably can obtain more profit on network.Net Station needs to open each searching engine account, and selection target key word carries out bid ranking, and engine can by content assembly packaging It is presented to user eventually, by user, the click of ranked content is charged.
Paid promotion surely obtains good marketing effectiveness so with regard to one after being not intended to throw in some advertisements on network Simply, advertisement putting also must have a set of methods could obtain good network marketing effect, could by profit maximization, The advertisement marketing scheme shot the arrow at the target and step are only the premise obtaining marketing effectiveness, could really help Rapid Development of Enterprise.
The current volume of data being recorded by special network promotion third party and providing network parting fee popularization, such as pays and pushes away Wide inputs terminal, throw in channel, displaying number of times that paying word brings, number of clicks, clicking rate, paying total spend, clicks on and spend Take.Also third party is had can according to the possible order inversion quantity of user access path, the feature extraction that places an order, but to be all according to set The extensive offer interface data of methods.Website background system can only record the daily order related data that transaction occurs, and Do not know paid promotion, naturally search bring actual conversion, calculate accuracy rate how high.
It is possible to produce using upper inconvenience, statistical error for data-interface disunity, have influence on paid advertisement Evaluation and tell on, the present invention gets through website platform access log and backstage transaction data by timestamp, order sequence, And integrated use third party's data, obtain a series of technical specification of monitoring promotion effects, catch visitor's unit price, pay so as to efficient Take the contribution rate of word, promote the output ratio that puts into and conclude the business, click on expense, be easy to regulation and control cost and put into.
Content of the invention
The present invention seeks to, against the background of the prior art, propose a kind of paid advertisement effect monitoring and regulation and control method and be System, efficiently instructs the input strategy of paid advertisement by the monitoring of efficiency index.
The technical scheme is that, a kind of method of paid advertisement effect monitoring regulation and control, comprise the steps:
Step 1: website platform specialty popularizing department sets advertisement serving policy, according to website platform input, popularization plan Throw in paid advertisement with group in the channels such as search engine, Extension Software Platform, then according to user, the click of advertisement is added up Spend.
, there are a series of sessions in step 2: user passes through paid advertisement landing website platform, and enter the flow process generation that places an order Order sequence, effectively conversion pay invoice is docked with website platform background system, and splits into Commodity Flow, including generation payment Consumption stream and the reimbursement stream that the return of goods occur, here need to process various special discount information, rate etc.;Effectively conversion pay invoice When docking with website platform background system, it is crucial that accurate order (uniqueization) is processed, and needs according to set rule clearly Navigate to be which kind of paid advertisement, which kind of mode, which platform, when, which people, which session bring;This is just using relating to And arrive third party's data, daily record data, the association process of backstage transaction data.
Precisely uniquely change process has two clear and definite targets to order: one is, plays effective restriction effect to daily record data, wide Accuse when throwing in, choosing effectively can be deleted to the contribution rate ranking of website platform according to accurately paid advertisement, can be according to pushing away The input of wide channel, Extension Software Platform and mode spends to compare and active policy is effectively adjusted;Two is it is ensured that effective conversion is propped up Pay the commodity transaction amount with splitting out for the order and goods amount occurs without the phenomenon of multi-to-multi, but the relation of one-to-many, this Sample guarantee subsequently has accurately monitoring control index.
Step 3: after to third party's data, daily record data, the association process of backstage transaction data, obtain putting into stream, exhibition Now the data storage such as stream, click steam, output stream is in corresponding module, so count clicking rate, output capacity, objective unit price, contribution rate, Several key regulation index data such as input-output ratio, click cost.
On the premise of not considering to promote cost input, the higher the better for clicking rate, output capacity, in fact, paying input is The necessary way of promotion, has input just can be searched for by more users, brings more flows, create more incomes, and pay The input cost of advertisement is considerable again, therefore, will regulate and control the good ratio putting into output as far as possible.Here it is proposed that strategy It is that, under the conditions of each Extension Software Platform ensures that paid advertisement brings stable user, suitable control spends, make input-output ratio stable In increased, click on spend be less than history average level.
Contribution rate follows user's history preference, and is adjusted according to industrial characteristic, SA.As paid advertisement is crucial Word, takes the front n of contribution rate of accumulative total 90%, its output amount of money be respectively p (1), p (2) ... p (n), the Gross Output amount of money is p, There is p (1)/p+p (2)/p+ ... p (n)/p=1.If p (i)/p > m, i=1,2 ... ..., n;M is subjective adjustable set point, such as takes 0.5-0.6, p (i) corresponding paying word can suitably reduce input weight, and the input weight of minimizing can be assigned to some industries Above hot word, search in Website hot word, SA key word.So both can ensure that the big word of contribution rate had stable representing, The coverage rate of paying word can be strengthened again, attract more flows, have
P ' (1)/p '+p ' (2)/p '+... p ' (n)/p '+q (1)/p '+q (2)/p '+...+q (m)/p '=1, wherein p ' Put into the Gross Output amount of money after weight for adjustment paying word, p ' (n) is that the front n key word of contribution rate of accumulative total 90% exists before adjustment The output amount of money after adjustment, q (m) is the hot word newly distributed and the put into weight output amount of money after the adjustment.
Other contribution rate indexs, in practical application, are also do so monitoring and regulation and control, need every time first to monitor each dimension Up-to-date contribution ranking, comprehensively determines adjustable strategies and the scheme of paid promotion further according to ranking.
The present invention discloses a kind of system of paid advertisement effect monitoring regulation and control, comprising: data source modules, data prediction mould Block, paid advertisement effect monitoring regulation and control module.
Described data source modules, promote routine data, website user's access log data, put down for typing third-party charging Platform backstage transaction data and user-defined paid advertisement recruitment evaluation rule.Third-party charging is promoted routine data and is mainly wrapped The amount of representing under each Extension Software Platform, each channels for the word containing paying, click volume, cost, the backstage of scarce website platform is truly produced Go out data.Website user's access log packet contain user, access time, access session, session step, platform, channels, Paying word, the landing page, advertising plan, the self-defined group of advertisement, order sequence etc., wherein click on statistics of variables and third party's meeting In having differences property, the such as present invention, a session to be divided within half an hour by same user's connected reference time interval, knows Not same people prioritizing selection cookie, being combined with ip+agent of disappearance judges to replace.It is not excluded for paying because of Network Abnormal, user Situations such as link redirects the reasons such as disappearance and causes daily record data imperfect.Platform backstage transaction data mainly include exchange hour, (an order id may have multiple commodity outputs id, and an order shares special discount, integration completely for order id, commodity output id The condition such as subtract), the commodity output amount of money, commodity purchasing return of goods state etc..User-defined paid advertisement recruitment evaluation rule such as, Order sequence need to associate out the commodity output amount of money as output, rather than user's actual delivery order amount of money, in this Evaluated effect Do not consider the means such as advertising campaign;User can after placing an order order downloaded information, select after success of also insuring not pay or Person is cross-platform to insure again, and the data of final storage need to consider order serial number uniqueization etc..
Described data preprocessing module, carries out data cleansing to data source basic data according to rule and associates, and generates The multidimensional analysis table of paying word recruitment evaluation.Including three submodules: order association submodule, access order sequence Module, order split output submodule.
Described access order sequence submodule, mainly includes 1) daily record basic data removes reptile, Exception Filter ip accesses, Labelling paying word lands and accesses, divides landing page insurance kind;2) if insurance industry, user also to be filtered place an order after to declaration form Download and the record of inquiry operation, these are identified by the url address of accession page;3) positioning accesses which order in data Id is that user passes through paid promotion word landing website, and normally place an order after website occurs a series of correlation behaviors generation, here Limit the access of user and lower single act must take place in same session, the preferred cookie coupling of same user, space-time adopts Ip+agent combinations matches;4) order id can repeat to remember because of user identity, many sessions, many paid advertisements, the presence of many channels Record is it is to be ensured that order converts the uniqueness in source;5) order sequence presses user, access time, platform, the splicing of session duplicate removal;6) The landing of all paid promotion landing users is accessed behavior and order sequence merges storage, do not produce putting of order sequence Empty.
Described order associates submodule, will access order sequence and backstage real trade number that order sequence submodule produces According to associating, filter and pay unsuccessful order, the actual delivery time of record order, payment platform, are easy to further simultaneously Duplicate removal is because across sky, the cross-platform repetition order id leading to.Filtering principle is preferred access time, time of payment equity, accesses flat Platform, payment platform equity data record, order pay the same day corresponding log recording have disappearance by nearest visit in daily record Ask that the time supplements, the cross-platform payment that places an order belongs to regular traffic category, and the corresponding log recording of order payment platform has disappearance Supplemented by nearest access platform in daily record.Filtering the unsuccessful order principle of payment is: meets access time, time of payment pair Deng, access platform, the data record of payment platform equity, then pay successfully;Otherwise pay unsuccessful.
Described order splits output submodule, and the duplicate removal order association mainly order being associated in submodule splits out business Product id, the amount of money, consumption reimbursement labelling, purchase product id etc., such as in insurance industry, an order id may correspond to multiple declaration form id, Need to ensure effectively to convert Commodity Flow be all pay after confirm that declaration form is accepted insurance, and website obtains the part of certain income and effectively turns Change declaration form.
Described paid advertisement effect monitoring regulation and control module is it is simply that obtain one based on the multidimensional analysis table of data preprocessing module Serial analysiss dimension and index, such as objective unit price, the contribution rate of each dimension of paid advertisement, popularization put into and transaction output ratio, click Expense.The historical variations trend that user can be directed to these indexs makes total evaluation, and the input strategy to following paid advertisement Make corresponding adjustment and control.
Beneficial effect: a kind of method and system of paid advertisement effect monitoring regulation and control disclosed by the invention, mainly for net The popularization cost control of network paid advertisement and the monitoring of actual benefit output have carried out effect monitoring and system design, using the 3rd Side, web log file, backstage transaction data carry out multidimensional association analysiss to the paid advertisement of electric business platform.Do not unite for data-interface One is possible to produce using upper inconvenience, statistical error, has influence on the evaluation of paid advertisement and tells on, the present invention is led to Cross timestamp, order sequence gets through website platform access log and backstage transaction data, and integrated use third party's data, obtain The technical specification of monitoring promotion effect, catches objective unit price, the contribution rate of paying word, promotes input and transaction output ratio, clicks on and open Pin, is easy to regulation and control cost and puts into.Paid advertisement effect monitoring proposed by the present invention and regulation and control method and system, by efficiency index Monitoring can efficiently instruct the input strategy of paid advertisement.The method and system can accurately assess paid advertisement effect, Efficiently instruct the input of paying cost, greatly reduce the workload of extension worker.
Brief description
Fig. 1 is the method flow schematic diagram of paid advertisement effect monitoring regulation and control in the embodiment of the present invention.
Fig. 2 is the association process implement body schematic diagram in paid advertisement effect monitoring regulation and control in the embodiment of the present invention.
Fig. 3 is the monitoring regulation and control implement body schematic diagram in paid advertisement effect monitoring regulation and control in the embodiment of the present invention.
Fig. 4 is the system structure diagram of paid advertisement effect monitoring regulation and control in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
Propose to carry out effect monitoring and regulation and control to paid advertisement, the input being intended to precise positioning paid advertisement is brought to company ?
Refering to shown in Fig. 1, the method flow of the simulation paid advertisement effect monitoring regulation and control of the embodiment of the present invention, concrete steps For:
Step 11: by the professional popularizing department personnel setting of website platform, they can pass through paying word advertisement putting scheme Various search engine (360, Baidu, search dog, Google etc.) channels by money be dropped in each platform of website (pc, touch screen, App, autonomous confederation platform etc.) paid advertisement on, the selection of paid advertisement and spend input can by various advertising plans and from Define group to be distributed according to certain ratio, these directly determine the promotion effect of paid advertisement, promote to for measurement Get a profit directive function in this and website.The sem mode (360cpc, bdcpc, sgcpc, ggcpc etc.) being related in the present invention, search Engine is to collect the charges to website by the true click of user.
Step 12: user passes through the forward arranging advertisement of search engine paid keyword, (each session by user of landing The first step is taken to access record) a series of website platform access behaviors of generation.Identifying user identity is critically important, this paper prioritizing selection Identifying user, not recorded cookie information carrys out labelling user with ip+agent combination, as long as in fact user to cookie There is purchasing behavior, in spite of login, website all can be distributed a login_id to user and carry out labelling identity, for only browsing Webpage does not buy user, can only be identified with cookie, ip, agent etc., here it is user's identification system.Visit based on user Ask behavior, we can divide session sequence by user's connected reference time interval within half an hour, and that is, user is continuously clear Looking at after webpage, if exceeding half an hour to continue again to access, being just identified as another session of this user, as long as continuous two Secondary navigation patterns time interval is less than half an hour, and same session can continue up.The access behavior of such user is just according to visit Ask that the sequencing of time is divided session and step, the access source of each step of user has also been recorded in daily record simultaneously Referer, access whereabouts request, paid advertisement word, release platform, channels, advertising plan and group, if user There is lower one action and generated order during accessing website, url address can record order id and be used for weighing output conversion, this It is also insertion daily record and the key of transaction data.
Step 13: transaction backstage can real-time update order sequence final state, can filter that payment is unsuccessful, treat The order id of state such as pay, cancel, closing, paying and be successfully only the most real throughput conversion stream.Backstage transaction data Main Function include: one) according to order actual delivery time, payment platform, because across sky, across flat in duplicate removal daily record order sequence The repetition order id that platform leads to.Two) valid order sequence splits out sub- order, and calculates sub- order corresponding commodity stream information, As the declaration form amount of money in insurance industry, refund amount, preferential sales promotion amount of money etc., also need to dispose improper accept insurance, surrender situation. The paid advertisement output effect of present invention monitoring is it is simply that the effective commodity amount after splitting, goods amount are weighed.
Step 14: based on step 1,2,3 input stream, output stream and backstage transaction actual output Commodity Flow, be to these Data does association process, refering to Fig. 2, knows which paid advertisement brings user and clicks on, which is clicked on user and has finally descended to order Single, the actual conversion of which order brings income to website, brings great income.
141: third party's data and daily record data are complementary monitoring relations, both dimensions such as total release platform, channels The related index of degree, click volume, can be used to monitor whether click volume is abnormal, it is detailed and wide that third party comprises advertisement promotion cost Accuse on a search engine represent exposure, comprise order output in daily record, application when each takes what he needs.Daily record data has two masters Act on: count each dimension with clicking on related index, such as click volume, visitor's number (independent cookie or independent ip+ Agent), now daily record information is without duplicate removal;Generate user's order sequence, in order to reduce the disappearance of order sequence, institute Have during placing an order and can the url of labelling order all be recorded order id, its effectiveness, realistic conversion needs with transaction data Do association further to judge, here, order id can have weight because of multi-user's identity, many sessions, many paid advertisements, many channels Multiple record is it is to be ensured that order converts the uniqueness in source, and marks, and the source record that is converted is 1, and other are 0.User because Have multiple identity characteristics using different browsers and generate multiple same order id, now take the maximum record conduct of access time Unique conversion source of this order id, many sessions, many paid advertisements, many channels similar process.
142: because across sky, the cross-platform repetition order id leading to, meeting is excellent in the transaction data duplicate removal daily record order sequence of backstage First select access time, time of payment equity, access platform, the data record of payment platform equity, order pays same day correspondence Log recording have being supplemented by access time nearest in daily record of disappearance, the cross-platform payment that places an order belongs to regular traffic category, The corresponding log recording of order payment platform has being supplemented by nearest access platform in daily record of disappearance.
The purpose that process uniquely changed by order is to access record mark to the valid order sequence leading to actual output in daily record Note, in calculating platform actual conversion commodity amount and the amount of money, only takes the record being labeled as 1.Therefore, refer to not affect click class Target statistics, uniqueization of order sequence identify, reach the purpose of efficient monitoring, in data storage, introduce one layer of order Relational structure data, connection third party, daily record, backstage transaction data, system need to ensure that the order sequence of the inside storage is all New effectively actual conversion Commodity Flow corresponding order id, it can return invalid order sequence mark in Update log, and energy Accurate correlation goes out Commodity Flow inversion quantity and the amount of money.
Step 15: refering to Fig. 3, represent stream (amount of representing of search engine record paid advertisement popularization activity, i.e. page exposure Light), click steam (behavior of user's pay-per-click advertisement, often click on a search engine all can collect certain expense to website platform With), output stream (user passes through paid advertisement landing website platform, and lower single act occurs, and order sequence is recorded) and Effective conversion Commodity Flow (order sequence being carried out be identified as effectively buying commodity after pay status, examination & verification state etc. judge), Input stream (website spends to the input of paid advertisement, and that is, user spends to the click of paid advertisement) can be transferred through above step and obtains Take, thus be accordingly used in monitoring paid advertisement measure of effectiveness index can also be calculated, and mainly have: clicking rate (click volume/represent Amount), output capacity (commodity amount/click volume), click on spend (cost/click volume), input-output ratio (goods amount/cost), visitor (effective conversion goods amount of certain paid advertisement/effectively conversion commodity are always golden for univalent (goods amount/number of users), contribution rate Volume), the wherein amount of representing, cost is derived from third party.After these achievement datas to paid advertisement carry out multidimensional analysis, persistently supervise Survey history and up-to-date index variation tendency, website promotion department can be according to Evaluated effect and Monitoring Status to paid advertisement Promote input to adjust and control.Principle substantially is, by paid promotion put into by each supply and demand control within the specific limits it is ensured that There is metastable drain user it is impossible to persistently reducing or run off, clicking rate, output capacity controlling more than certain threshold values, as far as possible Output capacity can be lifted by methods such as seo, operation operations, make input-output ratio, objective unit price is relatively stable and has increased;Pay The input taking advertisement wants the reasonable selection way of promotion and method, and its coverage rate and rate of precision can be from largely affecting to click on Cost, the contribution rate of potential user, paid advertisement and each dimension, click on cost and will be less than history average, paid advertisement and each dimension The contribution rate of degree will meet certain allocation proportion, and such as fetching expense word contribution rate adds up before ranking 90% 10 key words, leads to Cross correlation technique and identify that contribution rate is more than the common trait of 30% these key words, reorganize existing ranking word, then draw Enter industry hot word, search in Website hot word, SA key word etc., equalize the contribution rate of existing ranking word, coverage rate, precisely Rate.
Refering to shown in Fig. 4, the system structure diagram of embodiment of the present invention paid advertisement effect monitoring regulation and control, comprising: number According to source module 41, data preprocessing module 42, paid advertisement effect monitoring regulation and control module 43.
Data source modules 41, promote routine data, website user's access log data, platform for typing third-party charging Backstage transaction data and user-defined paid advertisement recruitment evaluation rule.
Data preprocessing module 42, carries out data cleansing to data source basic data according to rule and associates, and generates and pays The multidimensional analysis table of expense word recruitment evaluation.Including three submodules: order association submodule, access order sequence submodule Block, order split output submodule.Order association submodule mainly stores the access behavior of user and the order sequence of generation, closes Key is the effective source that can distinguish order sequence, and labelling multi-user's identity, many sessions, many paid advertisements, many channels produce Order effectiveness.Order associates submodule, will access order sequence and backstage real trade that order sequence submodule produces Data associates, the order that filtration payment is unsuccessful, examination & verification is not passed through, and further duplicate removal is because across sky, the cross-platform weight leading to Multiple order.Order split output submodule, mainly to order associate submodule in duplicate removal order association split out commodity id, The amount of money, consumption reimbursement labelling, purchase product id etc., such as in insurance industry, an order id may correspond to multiple declaration form id, needs to protect Card effectively convert Commodity Flow be all pay after confirm that declaration form is accepted insurance, and website obtains the part of certain income and effectively converts guarantor Single.
Paid advertisement effect monitoring regulation and control module 43 is it is simply that obtaining one based on the multidimensional analysis table of data preprocessing module and being Row analysis dimension and index, as objective unit price, the contribution rate of each dimension of paid advertisement, popularization puts into and transaction output ratio, click are opened Pin.The historical variations trend that user can be directed to these indexs makes total evaluation, and the input strategy of following paid advertisement is done Go out corresponding adjustment and control.
The foregoing is only a kind of embodiment of the present invention, not in order to limit patent of the present invention, all in patent of the present invention Spirit and principle within any modification, equivalent and improvement of being made etc., all to be included in the protection model of patent of the present invention Within enclosing.

Claims (5)

1. a kind of method of paid advertisement effect monitoring regulation and control, is characterized in that comprising the steps:
Step 1: website platform specialty popularizing department sets advertisement serving policy, according to website platform input, popularization plan and group Do not throw in paid advertisement in the channels such as search engine, Extension Software Platform, then according to user, the click of advertisement is added up to spend;
Step 2: user is landed described website platform by paid advertisement, user and described website platform occur a series of interacts, And entering the flow process generation order sequence that places an order, effectively conversion pay invoice is docked with website platform background system;Website platform will Interaction on described website platform for the user splits into Commodity Flow, the reimbursement returned goods including the consumption stream and generation that payment occurs Stream, here need to process various special discount information, rate etc.;Effectively conversion pay invoice is docked with website platform background system When, it is crucial that accurate order (uniqueization) is processed, need clearly to navigate to according to set rule be which kind of paid advertisement, which Kind of mode, which Extension Software Platform, when, which people, which session bring;Handed over using third party's data, daily record data, backstage The association process of easy data;
Precisely uniquely change process has two clear and definite targets to order: one, plays effective restriction effect to daily record data, in advertisement putting When, choosing can effectively be deleted to the contribution rate ranking of website platform according to accurately paid advertisement, according to channels, popularization The input of platform and mode spends to compare and active policy is effectively adjusted;2nd, guarantee effectively to convert pay invoice with splitting Commodity transaction amount out and goods amount occur without the phenomenon of multi-to-multi, but the relation of one-to-many;
Step 3: after to third party's data, daily record data, the association process of backstage transaction data, obtain put into stream, represent stream, The data storages such as click steam, output stream are in corresponding module, and then count clicking rate, output capacity, objective unit price, contribution rate, input Several key regulation index data such as output ratio, click cost;
On the premise of not considering to promote cost input, the higher the better for clicking rate, output capacity, but the good ratio putting into output of regulation and control The strategy of example is, under the conditions of each Extension Software Platform ensures that paid advertisement brings stable user, suitable control spends, and so that input is produced Go out and than increased in stable, click on to spend and be less than history average level.
2. the method for paid advertisement effect monitoring regulation and control according to claim 1, is characterized in that contribution rate strategy is: pay Advertisement keyword, takes the front n of contribution rate of accumulative total 90%, its output amount of money be respectively p (1), p (2) ... p (n), Gross Output The amount of money is p, has p (1)/p+p (2)/p+ ... p (n)/p=1.If p (i)/p > m, i=1,2 ... ..., n;M is that subjectivity is adjustable to be set Definite value, such as takes 0.5-0.6, and p (i) corresponding paying word can suitably reduce input weight, and the input weight of minimizing can be assigned to Above some industry hot words, search in Website hot word, SA key word:
P ' (1)/p '+p ' (2)/p '+... p ' (n)/p '+q (1)/p '+q (2)/p '+...+q (m)/p '=1, wherein p ' they are to adjust Whole paying word puts into the Gross Output amount of money after weight, and p ' (n) is that the front n key word of contribution rate of accumulative total 90% before adjustment is adjusting The output amount of money afterwards, q (m) is the hot word newly distributed and the put into weight output amount of money after the adjustment.
3. the method for paid advertisement effect monitoring regulation and control according to claim 2, is characterized in that contribution rate is followed user and gone through History preference, and adjusted according to industrial characteristic, SA;Other contribution rate indexs, in practical application, are also do so Monitoring and regulation and control, need first to monitor the up-to-date contribution ranking of each dimension every time, comprehensively determine the tune of paid promotion further according to ranking Whole strategy and scheme.
4., according to the method for the paid advertisement effect monitoring regulation and control described in claim 2, it is characterized in that user-defined paying extensively Accuse recruitment evaluation rule, order sequence need to associate out the commodity output amount of money as output, rather than user's actual delivery order gold Volume, does not consider the means of similar advertising campaign in this Evaluated effect;User can after placing an order order downloaded information, also can insure Select after success not pay or cross-platform again insure, order serial number need to uniquely be changed by the data of final storage.
5. a kind of system of paid advertisement effect monitoring regulation and control, sets up in website platform or independently sets up, it is characterized in that including number According to source module, data preprocessing module, paid advertisement effect monitoring regulation and control module;
Described data source modules, promote routine data, the user access logses data of website, platform for typing third-party charging Backstage transaction data and user-defined paid advertisement recruitment evaluation rule;
Third-party charging promote routine data comprise the amount of representing under each Extension Software Platform, each channels for the paying word, click volume, Spend, the true output data in backstage of scarce website platform;Website user's access log packet contains user, access time, access Session, session step, platform, channels, paying word, the landing page, advertising plan, the self-defined group of advertisement, order sequence, Be not excluded for because Network Abnormal, user pay link and redirect the reasons such as disappearance and cause daily record data imperfect situations such as;Platform backstage Transaction data mainly include exchange hour, order id, commodity output id (an order id may have multiple commodity outputs id, one Individual order shares the full condition such as subtract of special discount, integration), the commodity output amount of money, commodity purchasing return of goods state;
Described data preprocessing module, carries out data cleansing to data source basic data according to rule and associates, and generates and pays The multidimensional analysis table of word recruitment evaluation;Data preprocessing module includes three submodules: order association submodule, access order Sequence submodule, order fractionation output submodule:
Described access order sequence submodule, including 1) daily record basic data removes reptile, Exception Filter ip accesses, labelling is paid Word lands and accesses, divides landing page insurance kind;2) if insurance industry, user also to be filtered place an order after to the download of declaration form and look into Ask the record of operation, these are identified by the url address of accession page;3) positioning accesses which order id in data is user By paid promotion word landing website, normally place an order after website occurs a series of correlation behaviors generation, limits user here Access and lower single act must take place in same session, same user preferred cookie coupling, space-time adopts ip+agent Combinations matches;4) order id can because user identity, many sessions, many paid advertisements, many channels exist repeat record it is to be ensured that The uniqueness in order conversion source;5) order sequence presses user, access time, platform, the splicing of session duplicate removal;6) by all payings The landing promoting landing user accesses behavior and the merging storage of order sequence, does not produce being empty of order sequence;
Described order associates submodule, and the order sequence and backstage real trade data that access the generation of order sequence submodule are done Association, filters and pays unsuccessful order, and the actual delivery time of record order, payment platform, are easy to further duplicate removal simultaneously Because across sky, the cross-platform repetition order id leading to;Order pay the same day corresponding log recording have disappearance by daily record recently Access time supplement, the cross-platform payment that places an order belongs to regular traffic category, and the corresponding log recording of order payment platform has scarce That loses is supplemented by nearest access platform in daily record;
Described order splits output submodule, and the duplicate removal order association mainly order being associated in submodule splits out commodity Id, the amount of money, consumption reimbursement labelling, purchase product id;
Described paid advertisement effect monitoring regulation and control module it is simply that obtained a series of based on the multidimensional analysis table of data preprocessing module Analysis dimension and index, as objective unit price, the contribution rate of each dimension of paid advertisement, popularization input and transaction output ratio, click expense; The historical variations trend that user can be directed to these indexs makes total evaluation, and makes phase to the input strategy of following paid advertisement The adjustment answered and control.
CN201610692758.5A 2016-08-19 2016-08-19 Method for monitoring effectiveness of television advertisements Pending CN106355432A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610692758.5A CN106355432A (en) 2016-08-19 2016-08-19 Method for monitoring effectiveness of television advertisements

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610692758.5A CN106355432A (en) 2016-08-19 2016-08-19 Method for monitoring effectiveness of television advertisements

Publications (1)

Publication Number Publication Date
CN106355432A true CN106355432A (en) 2017-01-25

Family

ID=57843850

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610692758.5A Pending CN106355432A (en) 2016-08-19 2016-08-19 Method for monitoring effectiveness of television advertisements

Country Status (1)

Country Link
CN (1) CN106355432A (en)

Cited By (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107665444A (en) * 2017-05-19 2018-02-06 新站保险代理股份有限公司 A kind of web advertisement acute effect evaluation method and system based on the online behavior of user
CN108074138A (en) * 2018-01-04 2018-05-25 厦门清谷信息技术有限公司 A kind of method and device weighed advertisement and launched
CN108270644A (en) * 2017-12-15 2018-07-10 海南智媒云图科技股份有限公司 Based on multi-platform page flow monitoring method, electronic equipment and storage medium
CN108876479A (en) * 2018-07-18 2018-11-23 口口相传(北京)网络技术有限公司 The channel attribution method and device of object entity
CN109040000A (en) * 2017-06-12 2018-12-18 北京京东尚科信息技术有限公司 IP address-based user identification method and system
CN109191183A (en) * 2018-08-10 2019-01-11 宜人恒业科技发展(北京)有限公司 A kind of advertisement dispensing dynamic debugging system based on big data
CN109886748A (en) * 2019-02-20 2019-06-14 广州宏数科技有限公司 A kind of advertisement intelligent put-on method and system
CN109978304A (en) * 2017-12-28 2019-07-05 北京京东尚科信息技术有限公司 The appraisal procedure and device of object-oriented
CN110020893A (en) * 2019-04-03 2019-07-16 阿里巴巴集团控股有限公司 A kind of advertisement contribution degree determines method, device and equipment
CN110245969A (en) * 2018-03-09 2019-09-17 腾讯科技(深圳)有限公司 Promotion message processing method, device, electronic equipment and computer-readable medium
CN110324414A (en) * 2019-06-27 2019-10-11 上海淇馥信息技术有限公司 The method, apparatus and electronic equipment of resource-niche assignment of traffic
CN110389963A (en) * 2019-06-18 2019-10-29 深圳壹账通智能科技有限公司 The recognition methods of channel effect, device, equipment and storage medium based on big data
CN110399556A (en) * 2019-07-23 2019-11-01 广州创力信息科技有限公司 A kind of seo optimization keyword charging method
CN110659918A (en) * 2018-06-28 2020-01-07 上海传漾广告有限公司 Optimization method for tracking and analyzing network advertisements
CN110659943A (en) * 2019-09-27 2020-01-07 上海淇玥信息技术有限公司 Method and device for adjusting delivery channel based on user structure characteristics and electronic equipment
CN110766449A (en) * 2019-09-27 2020-02-07 北京奥维互娱科技有限公司 Advertisement budget allocation system and method
CN110766470A (en) * 2019-10-28 2020-02-07 晓推(武汉)信息科技有限公司 Method, device, equipment and storage medium for setting advertisement account delivery data
CN110995532A (en) * 2019-11-19 2020-04-10 上海易点时空网络有限公司 Data processing method and system for resource bit and server
CN111683146A (en) * 2020-06-08 2020-09-18 北京明略昭辉科技有限公司 Method and device for processing jump instruction and electronic equipment
CN111815357A (en) * 2020-07-09 2020-10-23 湖南数客星球信息技术有限公司 Big data intelligent advertisement system and method based on amazon search word bank
CN111861573A (en) * 2020-07-24 2020-10-30 网易传媒科技(北京)有限公司 Information delivery processing method and device, storage medium and electronic equipment
CN112241893A (en) * 2019-07-16 2021-01-19 北京国双科技有限公司 Order effect evaluation method and device, machine-readable storage medium and processor
CN112348572A (en) * 2020-10-21 2021-02-09 厦门羽星科技股份有限公司 Statistical method and system for network advertisement effect
CN112418904A (en) * 2020-09-08 2021-02-26 珠海南方数字娱乐公共服务中心 Brand promotion application ratio calculation method based on new media platform
CN112445824A (en) * 2020-11-11 2021-03-05 北京思特奇信息技术股份有限公司 Abnormal order user information sharing system and method based on block chain
CN113259353A (en) * 2021-05-13 2021-08-13 北京有竹居网络技术有限公司 Information processing method and device and electronic equipment
CN113283928A (en) * 2021-04-28 2021-08-20 北京大生在线科技有限公司 Multidimensional conversion tracking data uploading system
CN113344619A (en) * 2021-05-31 2021-09-03 北京达佳互联信息技术有限公司 Resource release control method, device, server and storage medium
CN114140178A (en) * 2022-02-07 2022-03-04 北京派瑞威行互联技术有限公司 Advertisement putting acceptance comprehensive evaluation system
TWI777106B (en) * 2018-12-29 2022-09-11 大陸商中國銀聯股份有限公司 Method, device, network device and computer-readable storage medium for determining preferential amount
CN115169337A (en) * 2022-08-24 2022-10-11 中教畅享(北京)科技有限公司 Method for calculating keyword score in commodity title optimization

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070156524A1 (en) * 2005-08-26 2007-07-05 Spot Runner, Inc., A Delware Corporation Systems and Methods For Content Customization
CN102567477A (en) * 2011-06-16 2012-07-11 北京亿赞普网络技术有限公司 Website value evaluation method and device
CN103136695A (en) * 2013-03-26 2013-06-05 明日互动(北京)广告传媒有限公司 Analytical method and system of media placement
CN103136696A (en) * 2013-03-26 2013-06-05 明日互动(北京)广告传媒有限公司 Management method of media placement and system thereof
CN103295150A (en) * 2013-05-20 2013-09-11 厦门告之告信息技术有限公司 Advertising release system and advertising release method capable of accurately quantizing and counting release effects

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070156524A1 (en) * 2005-08-26 2007-07-05 Spot Runner, Inc., A Delware Corporation Systems and Methods For Content Customization
CN102567477A (en) * 2011-06-16 2012-07-11 北京亿赞普网络技术有限公司 Website value evaluation method and device
CN103136695A (en) * 2013-03-26 2013-06-05 明日互动(北京)广告传媒有限公司 Analytical method and system of media placement
CN103136696A (en) * 2013-03-26 2013-06-05 明日互动(北京)广告传媒有限公司 Management method of media placement and system thereof
CN103295150A (en) * 2013-05-20 2013-09-11 厦门告之告信息技术有限公司 Advertising release system and advertising release method capable of accurately quantizing and counting release effects

Cited By (44)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107665444A (en) * 2017-05-19 2018-02-06 新站保险代理股份有限公司 A kind of web advertisement acute effect evaluation method and system based on the online behavior of user
CN107665444B (en) * 2017-05-19 2021-05-18 南京新贝金服科技有限公司 Network advertisement instant effect evaluation method and system based on user online behavior
CN109040000A (en) * 2017-06-12 2018-12-18 北京京东尚科信息技术有限公司 IP address-based user identification method and system
CN109040000B (en) * 2017-06-12 2022-01-07 北京京东尚科信息技术有限公司 User identification method and system based on IP address
CN108270644A (en) * 2017-12-15 2018-07-10 海南智媒云图科技股份有限公司 Based on multi-platform page flow monitoring method, electronic equipment and storage medium
CN108270644B (en) * 2017-12-15 2020-11-24 广东智媒云图科技股份有限公司 Page flow monitoring method based on multiple platforms, electronic equipment and storage medium
CN109978304A (en) * 2017-12-28 2019-07-05 北京京东尚科信息技术有限公司 The appraisal procedure and device of object-oriented
CN108074138A (en) * 2018-01-04 2018-05-25 厦门清谷信息技术有限公司 A kind of method and device weighed advertisement and launched
CN110245969B (en) * 2018-03-09 2022-11-22 腾讯科技(深圳)有限公司 Promotion information processing method and device, electronic equipment and computer readable medium
CN110245969A (en) * 2018-03-09 2019-09-17 腾讯科技(深圳)有限公司 Promotion message processing method, device, electronic equipment and computer-readable medium
CN110659918A (en) * 2018-06-28 2020-01-07 上海传漾广告有限公司 Optimization method for tracking and analyzing network advertisements
CN108876479B (en) * 2018-07-18 2020-06-16 口口相传(北京)网络技术有限公司 Channel attribution method and device for object entity
CN108876479A (en) * 2018-07-18 2018-11-23 口口相传(北京)网络技术有限公司 The channel attribution method and device of object entity
CN109191183A (en) * 2018-08-10 2019-01-11 宜人恒业科技发展(北京)有限公司 A kind of advertisement dispensing dynamic debugging system based on big data
TWI777106B (en) * 2018-12-29 2022-09-11 大陸商中國銀聯股份有限公司 Method, device, network device and computer-readable storage medium for determining preferential amount
CN109886748A (en) * 2019-02-20 2019-06-14 广州宏数科技有限公司 A kind of advertisement intelligent put-on method and system
CN110020893B (en) * 2019-04-03 2022-12-27 创新先进技术有限公司 Method, device and equipment for determining contribution degree of advertisement
CN110020893A (en) * 2019-04-03 2019-07-16 阿里巴巴集团控股有限公司 A kind of advertisement contribution degree determines method, device and equipment
CN110389963A (en) * 2019-06-18 2019-10-29 深圳壹账通智能科技有限公司 The recognition methods of channel effect, device, equipment and storage medium based on big data
CN110389963B (en) * 2019-06-18 2022-03-18 深圳壹账通智能科技有限公司 Channel effect identification method, device, equipment and storage medium based on big data
CN110324414B (en) * 2019-06-27 2022-01-11 上海淇馥信息技术有限公司 Resource bit flow distribution method and device and electronic equipment
CN110324414A (en) * 2019-06-27 2019-10-11 上海淇馥信息技术有限公司 The method, apparatus and electronic equipment of resource-niche assignment of traffic
CN112241893A (en) * 2019-07-16 2021-01-19 北京国双科技有限公司 Order effect evaluation method and device, machine-readable storage medium and processor
CN110399556A (en) * 2019-07-23 2019-11-01 广州创力信息科技有限公司 A kind of seo optimization keyword charging method
CN110766449A (en) * 2019-09-27 2020-02-07 北京奥维互娱科技有限公司 Advertisement budget allocation system and method
CN110659943B (en) * 2019-09-27 2023-03-31 上海淇玥信息技术有限公司 Method and device for adjusting delivery channel based on user structure characteristics and electronic equipment
CN110659943A (en) * 2019-09-27 2020-01-07 上海淇玥信息技术有限公司 Method and device for adjusting delivery channel based on user structure characteristics and electronic equipment
CN110766470A (en) * 2019-10-28 2020-02-07 晓推(武汉)信息科技有限公司 Method, device, equipment and storage medium for setting advertisement account delivery data
CN110995532A (en) * 2019-11-19 2020-04-10 上海易点时空网络有限公司 Data processing method and system for resource bit and server
CN111683146B (en) * 2020-06-08 2022-11-11 北京明略昭辉科技有限公司 Method and device for processing jump instruction and electronic equipment
CN111683146A (en) * 2020-06-08 2020-09-18 北京明略昭辉科技有限公司 Method and device for processing jump instruction and electronic equipment
CN111815357A (en) * 2020-07-09 2020-10-23 湖南数客星球信息技术有限公司 Big data intelligent advertisement system and method based on amazon search word bank
CN111861573A (en) * 2020-07-24 2020-10-30 网易传媒科技(北京)有限公司 Information delivery processing method and device, storage medium and electronic equipment
CN112418904A (en) * 2020-09-08 2021-02-26 珠海南方数字娱乐公共服务中心 Brand promotion application ratio calculation method based on new media platform
CN112348572A (en) * 2020-10-21 2021-02-09 厦门羽星科技股份有限公司 Statistical method and system for network advertisement effect
CN112445824A (en) * 2020-11-11 2021-03-05 北京思特奇信息技术股份有限公司 Abnormal order user information sharing system and method based on block chain
CN112445824B (en) * 2020-11-11 2024-02-02 北京思特奇信息技术股份有限公司 Abnormal order user information sharing system and method based on block chain
CN113283928A (en) * 2021-04-28 2021-08-20 北京大生在线科技有限公司 Multidimensional conversion tracking data uploading system
CN113259353A (en) * 2021-05-13 2021-08-13 北京有竹居网络技术有限公司 Information processing method and device and electronic equipment
CN113344619A (en) * 2021-05-31 2021-09-03 北京达佳互联信息技术有限公司 Resource release control method, device, server and storage medium
CN114140178A (en) * 2022-02-07 2022-03-04 北京派瑞威行互联技术有限公司 Advertisement putting acceptance comprehensive evaluation system
CN114140178B (en) * 2022-02-07 2022-04-29 北京派瑞威行互联技术有限公司 Advertisement putting acceptance comprehensive evaluation system
CN115169337A (en) * 2022-08-24 2022-10-11 中教畅享(北京)科技有限公司 Method for calculating keyword score in commodity title optimization
CN115169337B (en) * 2022-08-24 2023-02-14 中教畅享(北京)科技有限公司 Method for calculating keyword score in commodity title optimization

Similar Documents

Publication Publication Date Title
CN106355432A (en) Method for monitoring effectiveness of television advertisements
KR100786795B1 (en) Internet advertising service system and method thereof
TWI603273B (en) Method and device for placing information search
JP4922263B2 (en) Method and system for correcting CTR
Han et al. Segmentation of telecom customers based on customer value by decision tree model
CN104424595A (en) Tax administration monitoring method and tax administration monitoring system thereof
US20100241510A1 (en) Method and Apparatus for Monitoring Effectiveness of Online Advertisement
CN103136696A (en) Management method of media placement and system thereof
US11216850B2 (en) Predictive platform for determining incremental lift
CN107146089A (en) The single recognition methods of one kind brush and device, electronic equipment
US20090327030A1 (en) Systems and Methods for Creating an Index to Measure a Performance of Digital Ads as Defined by an Advertiser
CN107665444A (en) A kind of web advertisement acute effect evaluation method and system based on the online behavior of user
JP2008204486A5 (en)
KR20060116864A (en) System and method for conducting an auction-based ranking of search results on a computer network
US20080208815A1 (en) Method And System For Optimizing Investments In Web Marketing
US20090327029A1 (en) Systems and Methods for Utilizing Normalized Impressions To Optimize Digital Ads
KR101703529B1 (en) Market analysis service provision method in accordance with market analysis thereof
JP6978551B2 (en) Patent evaluation system
CN109460816A (en) A kind of user's behavior prediction method based on deep learning
US20150302467A1 (en) System and method for real time selection of an optimal offer out of several competitive offers based on context
US20040143488A1 (en) System and method for integration of actual product costs
US20040139035A1 (en) System and method for integration of value-added product costs
KR101725228B1 (en) System and method for bidding automatically based on bidding related history data in keyword advertisement, and bidding management server
KR20170094935A (en) System for providing enterprise information and method
KR20170037760A (en) System and method for bidding automatically using correlation of bidding related data in keyword advertisement, and bidding management server

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20170125