CN104240105A - Software promotion method - Google Patents
Software promotion method Download PDFInfo
- Publication number
- CN104240105A CN104240105A CN201310253405.1A CN201310253405A CN104240105A CN 104240105 A CN104240105 A CN 104240105A CN 201310253405 A CN201310253405 A CN 201310253405A CN 104240105 A CN104240105 A CN 104240105A
- Authority
- CN
- China
- Prior art keywords
- software
- user
- recommendation
- information
- request
- 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
Landscapes
- Information Transfer Between Computers (AREA)
Abstract
The invention provides a software promotion method. The method comprises the following steps that a software server receives a recommendation request of a client side, obtains a recommendation mode in which a request user sends the request and effective information of the request user and generates and records a unique identifier related to the request user; the software server sends software recommendation information containing the effective information and the unique identifier of the request user to a recommendation user in the recommendation mode; the software server obtains valid software registration information related to the unique identifier and conducts marking and statistics; the request user is awarded by the software server according to the statistical result on the basis of rules. According to the software promotion method, on the starting point that the request user who has registered and used software recommends the software, credibility is high, and the probability that the recommendation user uses the software is large; the software server enables the unique identifier to be related to valid registration, statistics is carried out on the valid registration, the request user is awarded on the basis of the rules, the software recommendation enthusiasm of the user is improved, and meanwhile the number of software users is truly increased geometrically.
Description
Technical field
The present invention relates to internet arena, particularly utilize the method that a kind of software of internet is promoted.
Background technology
Internet develop the network marketing making enterprise more and more pay attention to product rapidly, and intensification internet is familiar with along with netizen, the distribution not too large effect that the mass-sending of the similar web advertisement of advertiser, mail, message mass-sending, forum top are pasted.Software is promoted, various forms of Internet advertising can bring no small puzzlement to user, easily cause the repulsion of user, and owing to worrying that software product carries virus, function and advertisement and describes the reasons such as difference is too large, user initiatively uses the enthusiasm of software very low.
Application number be 201210220976.0 patent of invention on November 28th, 2012 disclose a kind of software promote method, the method is: at least recommend other people by a communication channel after running software, and meet setting quantity, soft ware authorization could be obtained, otherwise can only operating software trial edition, or limited number of time uses, or stop.Adopt popularization software in this way and can obtain customer's approval and a large amount of use.But adopt and there is certain problem in this way:
1) recommendation function is integrated in software, and after running software, user could recommend other people, defines the effective means of recommendation;
2) only judge in the step of the method that user sends recommendation information whether success, do not recommend user whether really to download the function of use software, cannot ensure that number of users increases fast.
Summary of the invention
For Problems existing in existing software promotion method, the present invention proposes a kind of method that software is promoted, software server receives the recommendation request that client sends, and obtains the way of recommendation and self effective information of request user transmission, generates with the unique identification of request user-association and record; Then, software server sends software recommend information according to the way of recommendation to recommendation user; User is recommended to use software by unique identification registration; Software server adds up the active registration information that is associated with unique identification and regularly rewards request user.For realizing foregoing invention content, present invention employs following technical scheme, the program comprises the following steps:
S1. software server receives the recommendation request of client, obtains the way of recommendation and self effective information of request user transmission, generates with the unique identification of request user-association and record;
S2. software server asks user self effective information and uniquely identified software recommend information to recommending user according to the way of recommendation to recommending user's transmission to comprise;
S3. software server obtains the software active registration information associated with unique identification and to go forward side by side row labels and statistics;
S4. software server is according to statistics regularly rewards request user.
Further, the described way of recommendation is mainly one of the instant messaging, micro-letter, microblogging, note, mailbox or its combination of recommending user.
Further, user self effective information is asked to refer to the information of recommending user can identify request user fast.
Further, recommend user to be at least a request user specifies can receiving package containing the user of uniquely identified software recommend information;
Further, described recommendation user can also be the user that the unsolicited user that can obtain software recommend information by information association specifies.Software server does not directly send message to such user, but passes through the association of other approach, and such user has noticed software recommend information;
Further, recommend user can convert the role of request user to, send recommendation request to software server, again perform correlation step of the present invention.
Further, ask user can select to add additional information in client in S1 and be sent to software server in the lump, additional information comprises the in-service evaluation information to software product.
Further, award form comprises spatial content, commission, integration, rank.
The present invention is to register the software of the request user recommendation using software as starting point, with a high credibility, recommends user to use the possibility of software large; Unique identification associates with active registration by software server, and statistics active registration, regularly rewards request user, improves the enthusiasm that user recommends software, really makes software users number become geometric growth simultaneously.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method that a kind of software provided by the present invention is promoted;
Fig. 2 is the process flow diagram of the embodiment of the method that a kind of software provided by the present invention is promoted;
Fig. 3 is the hardware systems environment map of the method realization that a kind of software provided by the present invention is promoted.
Embodiment
The method that a kind of software mentioned to make the present invention is promoted and advantage thereof clearly clearly, further describe in detail the present invention referring to accompanying drawing.
Fig. 1 is the process flow diagram of the method that a kind of software provided by the present invention is promoted, and as shown in the figure, the method comprises the following steps:
Step 101, software server receives the recommendation request of client, obtains the way of recommendation and self effective information of request user transmission, generates with the unique identification of request user-association and record.
Request user sends recommendation request by client to software server, the request user of indication of the present invention is the user that registration used software, be familiar with the feature of software and useful effectiveness, want to recommend this software by network to the friend be familiar with, colleague or other parties.
Client can be fixed clients and mobile client, comprises PC, notebook computer, panel computer, smart mobile phone etc.
Self effective information of request user can be the specific pet name, name, telephone number, and information specific to other request users.
Request user can select to send additional information to software server simultaneously, and additional information comprises the in-service evaluation information to software product, also can be that request user thinks important in software recommend other information influential.
Unique identification can be 32 bit sequence number of encryption, also can the unique symbol that generates according to other pre-defined rules of software server, can by the user that succeeds in registration and request user efficient association by this mark.The unique identification that different request users is corresponding different.
Step 102, software server asks user self effective information and uniquely identified software recommend information to recommending user according to the way of recommendation to recommending user's transmission to comprise.
The kind of the way of recommendation is a lot, is mainly one of the instant messaging, micro-letter, microblogging, mailbox or its combination of recommending user.Recommend user can be request user determine can sending object, also can be other Internet users be associated with by sending object, such as by the user that microblogging, discussion group, QQ space correlation are arrived, user is recommended to be registered by unique identification and use software.
Software server can also send additional information to recommending user, and additional information mainly comprises product introduction, or other information.
Step 103, software server obtains the software active registration information associated with unique identification and to go forward side by side row labels and statistics.
The data-base recording of software server has the unique identification and sending object that sent, and database preserves the data that software registration uses, and by marking and adding up the software registration information associated with this unique identification, determines the recommendation effect of asking user.Wherein, active registration information refers to the data message recommending user registration success, or recommends user registration success and the data message of continuous a period of time use software, needs to be determined by the feature of software vendor according to software.
Recommend user directly to complete on the net register and use software, namely software is B/S pattern; Or download software client after completing registration to use, namely software is B/S+C/S pattern.
Step 104, software server is according to statistics regularly rewards request user.
Rewarding rule is the programmed logic that software vendor sets in advance, and recommend successful quantity, the prize outcome that Auto-matching is different according to request user, award form comprises but spatial content, commission, integration, rank.
Fig. 2 is the process flow diagram of the embodiment of the method that a kind of software provided by the present invention is promoted, and as shown in the figure, this embodiment comprises the following steps:
Step 201, request user sends recommendation request by client to software server.
Request user sends recommendation request by fixed clients or mobile client to software server, and this software is recommended in request.The way of recommendation that request user sends and self effective information are to software server, simultaneously, request user can add additional information, such as to the in-service evaluation information of software product, or ask other information that user thinks important, make recommendation user understand software product better, and be sent to software server.
Step 202, software server receives the recommendation request of client, obtains the way of recommendation and self effective information of request user transmission, generates with the unique identification of request user-association and record.
The way of recommendation is mainly one of the instant messaging, micro-letter, microblogging, note, mailbox or its combination of recommending user, if the mode of note then needs software server that module or the peripheral hardware of note cat or similar functions are housed.
Step 203, software server judges whether to send software recommend information according to the way of recommendation.
Comprising of getting recommends the way of recommendation of user profile to compare with the way of recommendation stored in database by software server, check whether existing software recommend information sends record, if sent software recommend information before, to step 204, otherwise, to step 205.
Whether step 204, realize active registration by this recommendation information.
Database can the way of recommendation of storage resource request user, because including unique identification in former recommendation information, therefore can checking the active registration information associated with unique identification, if realize active registration, then directly terminating, recommending user without the need to registering again; If unrealized active registration, then to step 205.
Step 205, software server sends to comprise asks user self effective information and uniquely identified software recommend information to recommending user.
Meanwhile, software server can send request the additional information of user and/or software product introduction to recommending user.Software server sends the recommendation user comprising uniquely identified software recommend information and specify to it, also has an other class to recommend user to get by information association the software recommend information that it sends to designated user.
Step 206, recommends user to carry out software registration and use.
This method mainly pays close attention to the active registration information of recommending user, therefore the way of recommendation of not carrying out the recommendation user registered will directly be preserved in a database.
Recommend user to carry out software registration and use by software recommend information, can be directly jump to the software registration page by unique identification, also can be by unique identification to software download page, can also be other forms of registration and use.
Step 207, software server obtains the software active registration information associated with unique identification and to go forward side by side row labels and statistics.
Software server gets the registration and use information of recommending user, marks the software registration associated with unique identification in database and use information and adds up.
Step 208, software server is according to statistics regularly rewards request user.
The built-in programmed logic of rewarding rule of software server, according to the statistics of data in database, the award rule rewards request user that coupling is corresponding.
In addition, also can add up separately and specify and the non-designated log-on message recommending user, according to statistics regularly rewards request user.
Fig. 3 is the hardware systems environment map of the method realization that a kind of software provided by the present invention is promoted, as shown in the figure, wherein, the form of expression of request subscription client and recommendation subscription client can be PC, notebook computer, panel computer, smart mobile phone etc., is not limited to the display format on icon; Software server can icon display form, also can be the server being placed on high in the clouds, all data of such user all can be stored in high in the clouds.
Request user realizes data for the present invention by client and inputs first, and software server receives the request content that client sends, and generates and records the unique identification with request user-association; Software server sends software recommend information to recommending user according to the way of recommendation obtained, and recommends user to obtain recommendation information by client; Recommend user to select registration and use software need be mutual with software server, software server preserves the service data of recommending user; Recommend the active registration information of user in software server staqtistical data base and be associated with corresponding request user, the bonus requirements that coupling is corresponding, rewards request user, completes the output of bonus data.
Meanwhile, for optimization data stores and data management, software server carries out data check and comparison in the process of executable operations, grants its registration, otherwise directly terminate qualified recommendation user data.
The above is to preferably embodiment of the present invention, and the art personnel should be appreciated that described embodiment and non-limiting protection scope of the present invention.Do not departing under Spirit Essence of the present invention and principle, can carry out changing or revising in details, all should be encompassed within right of the present invention.
Claims (8)
1. a method for software popularization, it is characterized in that, the method comprises the following steps:
S1. software server receives the recommendation request of client, obtains the way of recommendation and self effective information of request user transmission, generates with the unique identification of request user-association and record;
S2. software server asks user self effective information and uniquely identified software recommend information to recommending user according to the way of recommendation to recommending user's transmission to comprise;
S3. software server obtains the software active registration information associated with unique identification and to go forward side by side row labels and statistics;
S4. software server is according to statistics regularly rewards request user.
2. the method for a kind of software popularization as claimed in claim 1, is characterized in that, the described way of recommendation is mainly one of the instant messaging, micro-letter, microblogging, note, mailbox or its combination of recommending user.
3. the method for a kind of software popularization as claimed in claim 1, it is characterized in that, self effective information of described request user refers to the information of recommending user can identify request user fast.
4. the method for a kind of software popularization as claimed in claim 1, it is characterized in that, described recommendation user is at least the user of the received software recommend information that a request user specifies.
5. the method for a kind of software popularization as claimed in claim 4, it is characterized in that, described recommendation user can also be the user that the unsolicited user that can obtain software recommend information by information association specifies.
6. the method for a kind of software popularization as claimed in claim 1, is characterized in that, asks user can select to add additional information in client and be sent to software server in the lump in described step S1.
7. the method for a kind of software popularization as claimed in claim 6, it is characterized in that, described additional information comprises the in-service evaluation information to software product.
8. the method for a kind of software popularization as claimed in claim 1, it is characterized in that, described award form comprises spatial content, commission, integration, rank.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310253405.1A CN104240105A (en) | 2013-06-21 | 2013-06-21 | Software promotion method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310253405.1A CN104240105A (en) | 2013-06-21 | 2013-06-21 | Software promotion method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104240105A true CN104240105A (en) | 2014-12-24 |
Family
ID=52228121
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310253405.1A Pending CN104240105A (en) | 2013-06-21 | 2013-06-21 | Software promotion method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104240105A (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105094950A (en) * | 2015-08-03 | 2015-11-25 | 深圳市阿拉互联网金融服务有限公司 | Associated data display method and device |
| CN105160556A (en) * | 2015-09-08 | 2015-12-16 | 曾庆义 | Content promotion performance acquisition method and system |
| CN105187399A (en) * | 2015-08-12 | 2015-12-23 | 南京钱宝信息传媒有限公司 | Resource processing method and device |
| CN106157066A (en) * | 2015-03-23 | 2016-11-23 | 阿里巴巴集团控股有限公司 | Mapping relations processing method, system and information processing platform equipment |
| CN106157086A (en) * | 2015-04-10 | 2016-11-23 | 乐点股份有限公司 | Method for prompting old member to recommend new member to complete registration by using two awards |
| CN106850417A (en) * | 2017-04-06 | 2017-06-13 | 北京深思数盾科技股份有限公司 | A kind of method and device for setting up user-association relation |
| CN106980945A (en) * | 2017-05-12 | 2017-07-25 | 北京拓殖智业科技有限公司 | A kind of examination information system of business promotion person |
| CN107609910A (en) * | 2017-08-18 | 2018-01-19 | 广州今也社教育科技有限公司 | Data processing method based on trustship, registration recommendation method and relevant device |
| CN107682386A (en) * | 2017-05-10 | 2018-02-09 | 平安科技（深圳）有限公司 | Monitoring method, equipment and the storage medium of unloading information are installed |
| US9947037B2 (en) | 2016-09-14 | 2018-04-17 | International Business Machines Corporation | Software recommendation services for targeted user groups |
| CN108306973A (en) * | 2018-02-07 | 2018-07-20 | 尚国庆 | House property medium services platform user stage division and its platform |
| CN108389081A (en) * | 2018-02-28 | 2018-08-10 | 深圳春沐源控股有限公司 | Commercial product recommending bonusing method and server |
| CN108924036A (en) * | 2018-06-27 | 2018-11-30 | 上海掌门科技有限公司 | Method and apparatus for distributing resource, getting resource |
| CN110046924A (en) * | 2018-01-17 | 2019-07-23 | 毕红卫 | Utilize the method and device of unique encodings tracking information propagation path |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101464983A (en) * | 2007-12-18 | 2009-06-24 | 汤溪蔚 | Electronic commercial matters application method and system |
| US20100017307A1 (en) * | 2008-07-16 | 2010-01-21 | Pipit Interactive, Inc. | Method and system for on-line, real-time, interactive collaborative visualization |
| CN101697538A (en) * | 2009-10-21 | 2010-04-21 | 深圳市融创天下科技发展有限公司 | Method for quickly spreading registration among broad community of users in network system |
| CN202433966U (en) * | 2011-10-28 | 2012-09-12 | 徐蔚 | Information processing system for realizing recommendation commission instant transaction through embedding mobile terminal of purchase software client |
-
2013
- 2013-06-21 CN CN201310253405.1A patent/CN104240105A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101464983A (en) * | 2007-12-18 | 2009-06-24 | 汤溪蔚 | Electronic commercial matters application method and system |
| US20100017307A1 (en) * | 2008-07-16 | 2010-01-21 | Pipit Interactive, Inc. | Method and system for on-line, real-time, interactive collaborative visualization |
| CN101697538A (en) * | 2009-10-21 | 2010-04-21 | 深圳市融创天下科技发展有限公司 | Method for quickly spreading registration among broad community of users in network system |
| CN202433966U (en) * | 2011-10-28 | 2012-09-12 | 徐蔚 | Information processing system for realizing recommendation commission instant transaction through embedding mobile terminal of purchase software client |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106157066A (en) * | 2015-03-23 | 2016-11-23 | 阿里巴巴集团控股有限公司 | Mapping relations processing method, system and information processing platform equipment |
| CN106157086A (en) * | 2015-04-10 | 2016-11-23 | 乐点股份有限公司 | Method for prompting old member to recommend new member to complete registration by using two awards |
| CN105094950A (en) * | 2015-08-03 | 2015-11-25 | 深圳市阿拉互联网金融服务有限公司 | Associated data display method and device |
| CN105187399A (en) * | 2015-08-12 | 2015-12-23 | 南京钱宝信息传媒有限公司 | Resource processing method and device |
| CN105160556A (en) * | 2015-09-08 | 2015-12-16 | 曾庆义 | Content promotion performance acquisition method and system |
| US9947037B2 (en) | 2016-09-14 | 2018-04-17 | International Business Machines Corporation | Software recommendation services for targeted user groups |
| CN106850417A (en) * | 2017-04-06 | 2017-06-13 | 北京深思数盾科技股份有限公司 | A kind of method and device for setting up user-association relation |
| CN107682386A (en) * | 2017-05-10 | 2018-02-09 | 平安科技（深圳）有限公司 | Monitoring method, equipment and the storage medium of unloading information are installed |
| CN107682386B (en) * | 2017-05-10 | 2020-02-14 | 平安科技（深圳）有限公司 | Method and device for monitoring installation and uninstallation information and storage medium |
| CN106980945A (en) * | 2017-05-12 | 2017-07-25 | 北京拓殖智业科技有限公司 | A kind of examination information system of business promotion person |
| CN107609910A (en) * | 2017-08-18 | 2018-01-19 | 广州今也社教育科技有限公司 | Data processing method based on trustship, registration recommendation method and relevant device |
| CN110046924A (en) * | 2018-01-17 | 2019-07-23 | 毕红卫 | Utilize the method and device of unique encodings tracking information propagation path |
| CN108306973A (en) * | 2018-02-07 | 2018-07-20 | 尚国庆 | House property medium services platform user stage division and its platform |
| CN108389081A (en) * | 2018-02-28 | 2018-08-10 | 深圳春沐源控股有限公司 | Commercial product recommending bonusing method and server |
| WO2019165768A1 (en) * | 2018-02-28 | 2019-09-06 | 深圳春沐源控股有限公司 | Commodity recommendation reward method and server |
| CN108924036A (en) * | 2018-06-27 | 2018-11-30 | 上海掌门科技有限公司 | Method and apparatus for distributing resource, getting resource |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104240105A (en) | Software promotion method | |
| US9838145B2 (en) | Method and system for transmitting and/or receiving advertisement and data contents and providing multiple value added services on electronic communication device with a display mechanism | |
| CN101690106B (en) | Method and system for providing targeted information based on a user profile in a mobile environment | |
| US11062335B2 (en) | Online survey spawning, administration and management | |
| Sinisalo et al. | Mobile customer relationship management: underlying issues and challenges | |
| US20090176520A1 (en) | Generating User Contexts for Targeted Advertising | |
| US20160307131A1 (en) | Method, apparatus, and system for controlling delivery task in social networking platform | |
| WO2015055067A1 (en) | Method and apparatus for pushing messages | |
| US20120284108A1 (en) | Loyalty program systems and methods | |
| US8688515B2 (en) | Method and system for secure distribution and tracking of information via multiple social networks | |
| US20090192869A1 (en) | Marketing Control Center | |
| CN104240106A (en) | Software promotion method | |
| US9028330B2 (en) | Gaming system | |
| JP2012505480A (en) | Managing Internet advertising and promotional content | |
| CN109716376A (en) | Recall the electronic information in electronic information activity | |
| CN108509806A (en) | A kind of big data precision marketing system and equipment with secret protection | |
| CN103493088A (en) | Label privileges | |
| CN107249040A (en) | Verify device, storage medium, using and system | |
| CN105741069A (en) | Two-dimensional code based material delivery system and use method therefor | |
| CN112446736A (en) | Click through rate CTR prediction method and device | |
| CN102739698A (en) | Method for using community sharing to assist mobile terminal advertisement publishing and system thereof | |
| CN103729177B (en) | For providing the information providing system and method for information | |
| CN105608607A (en) | Internet-based prize distribution system | |
| CN111178971A (en) | Advertisement putting control method and device, electronic equipment and storage medium | |
| CN111311426A (en) | Method, device and storage medium for managing private domain flow |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141224 |
|
| WD01 | Invention patent application deemed withdrawn after publication |