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CN106789136A - OA operation analysis implementation method and device based on user behavior - Google Patents

OA operation analysis implementation method and device based on user behavior Download PDF

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Publication number
CN106789136A
CN106789136A CN201510802638.1A CN201510802638A CN106789136A CN 106789136 A CN106789136 A CN 106789136A CN 201510802638 A CN201510802638 A CN 201510802638A CN 106789136 A CN106789136 A CN 106789136A
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Prior art keywords
user
user behavior
time period
behavior record
terminal type
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Inventor
苑晓龙
胡勇
高维国
刘胜飏
朱海
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Peking University Founder Group Co Ltd
Beijing Founder Electronics Co Ltd
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Peking University Founder Group Co Ltd
Beijing Founder Electronics Co Ltd
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Priority to CN201510802638.1A priority Critical patent/CN106789136A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/535Tracking the activity of the user

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

本发明涉及信息处理技术,尤其涉及一种基于用户行为的运营分析实现方法及装置。该方法包括:获取预设时间内目标网站上的用户行为记录;至少按照地区维度、时间段维度、终端类型维度以及网络类型维度对所述用户行为记录进行统计处理;根据用户的调取指示,将所述统计处理结果显示给用户。本发明实施例的基于用户行为的运营分析实现方法及装置,能够为运营活动效果评价提供较为精确的数据支持,提高运营活动评价的准确性。

The present invention relates to information processing technology, and in particular to a method and device for realizing operation analysis based on user behavior. The method includes: acquiring user behavior records on the target website within a preset time period; performing statistical processing on the user behavior records at least according to the dimension of region, time period, terminal type and network type; according to the calling instruction of the user, The statistical processing result is displayed to the user. The method and device for implementing user behavior-based operation analysis in the embodiments of the present invention can provide more accurate data support for the evaluation of operation activity effects, and improve the accuracy of operation activity evaluation.

Description

基于用户行为的运营分析实现方法及装置Implementation method and device for operation analysis based on user behavior

技术领域technical field

本发明涉及信息处理技术,尤其涉及一种基于用户行为的运营分析实现方法及装置。The present invention relates to information processing technology, and in particular to a method and device for realizing operation analysis based on user behavior.

背景技术Background technique

为了推广商品、服务、游戏等,商家会在网站上进行一系列的运营活动。当前监测运营活动效果的方式一般是根据用户量或利润等来评价运营活动的效果,评价的结果多为成功或失败,难以对运营活动效果评价提供准确依据。In order to promote products, services, games, etc., merchants will carry out a series of operational activities on the website. The current method of monitoring the effect of operating activities is generally to evaluate the effect of operating activities based on the number of users or profits. The results of the evaluation are mostly success or failure, and it is difficult to provide an accurate basis for evaluating the effect of operating activities.

发明内容Contents of the invention

本发明实施例提供了一种基于用户行为的运营分析实现方法及装置,以为运营活动效果评价提供较为精确的数据支持,提高运营活动评价的准确性。Embodiments of the present invention provide a method and device for implementing operation analysis based on user behavior, so as to provide more accurate data support for evaluating the effect of operation activities and improve the accuracy of operation activity evaluation.

第一方面,本发明实施例提供了一种基于用户行为的运营分析实现方法,包括:In the first aspect, the embodiment of the present invention provides a method for implementing operation analysis based on user behavior, including:

获取预设时间内目标网站上的用户行为记录;Obtain user behavior records on the target website within a preset period of time;

至少按照地区维度、时间段维度、终端类型维度以及网络类型维度对所述用户行为记录进行统计处理;Perform statistical processing on the user behavior records at least according to the dimension of region, time period, terminal type and network type;

根据用户的调取指示,将所述统计处理结果显示给用户。According to the calling instruction of the user, the statistical processing result is displayed to the user.

可选的,按照地区维度对所述用户行为记录进行统计处理,包括:Optionally, perform statistical processing on the user behavior records according to the regional dimension, including:

根据用户登录所述目标网站的IP记录,对所述用户行为记录按预设区域进行划分,得到各区域用户行为记录;According to the IP record of the user logging into the target website, the user behavior records are divided into preset areas to obtain user behavior records in each area;

根据所述各区域用户行为记录,确定以下至少一项信息,包括:According to the user behavior records in each area, determine at least one of the following information, including:

各区域新用户增长量;Growth of new users in each region;

预设时间内各区域的活动用户量;The number of active users in each area within the preset time;

预设时间内各区域中用户的在线时长;The online duration of users in each area within the preset time;

预设时间内各区域的留存用户量。The number of retained users in each region within a preset period of time.

可选的,按照时间段维度对所述用户行为记录进行统计处理包括:Optionally, performing statistical processing on the user behavior records according to the time period dimension includes:

根据用户对所述目标网站的登录记录,对所述用户行为记录按预设时间段进行划分,得到各时间段用户行为记录;According to the login record of the user to the target website, divide the user behavior record according to the preset time period, and obtain the user behavior record in each time period;

根据所述各时间段用户行为记录,确定以下至少一种信息,包括:According to the user behavior records in each time period, at least one of the following information is determined, including:

各时间段内新用户增长量;New user growth in each time period;

各时间段内的活动用户量;The number of active users in each time period;

各时间段内的用户在线时长;The online duration of users in each time period;

各时间段内的留存用户量。The number of retained users in each time period.

可选的,按照终端类型维度对所述用户行为记录进行统计处理包括:Optionally, performing statistical processing on the user behavior records according to the terminal type dimension includes:

根据用户登录所述目标网站所使用的终端类型,对所述用户行为记录按照预设终端类型划分标准进行划分,得到各终端类型用户行为记录;According to the terminal type used by the user to log in to the target website, the user behavior record is divided according to the preset terminal type classification standard to obtain the user behavior record of each terminal type;

根据所述各终端类型用户行为记录,得到以下至少一种信息,包括:According to the user behavior records of each terminal type, at least one of the following information is obtained, including:

对应各终端类型的新用户增长量;Corresponding to the growth of new users of each terminal type;

对应各终端类型的活动用户量;The number of active users corresponding to each terminal type;

对应各终端类型的用户在线时长;The online duration of users corresponding to each terminal type;

对应各终端类型的留存用户量。Corresponding to the number of retained users of each terminal type.

可选的,按照网络类型维度对所述用户行为记录进行统计处理,包括:Optionally, perform statistical processing on the user behavior records according to the network type dimension, including:

根据用户登录所述目标网站所使用的网络类型,对所述用户行为记录按照预设网络类型划分标准进行划分,得到各网络类型用户行为记录;According to the network type used by the user to log in to the target website, the user behavior record is divided according to the preset network type classification standard, and the user behavior record of each network type is obtained;

根据所述各网络类型用户行为记录,得到以下至少一种信息,包括:According to the user behavior records of each network type, at least one of the following information is obtained, including:

对应各网络类型的新用户增长量;Corresponding to the growth of new users of each network type;

对应各网络类型的活动用户量;The number of active users corresponding to each network type;

对应各网络类型的用户在线时长;Corresponding to the online duration of users of each network type;

对应各网络类型的存留用户量。Corresponding to the number of reserved users of each network type.

第二方面,本发明实施例提供了一种基于用户行为的运营分析实现装置,包括:In the second aspect, the embodiment of the present invention provides a device for implementing user behavior-based operation analysis, including:

行为记录获取模块,用于获取预设时间内目标网站上的用户行为记录;A behavior record acquisition module, configured to acquire user behavior records on the target website within a preset period of time;

统计处理模块,用于至少按照地区维度、时间段维度、终端类型维度以及网络类型维度对所述用户行为记录进行统计处理;A statistical processing module, configured to perform statistical processing on the user behavior records at least according to the dimension of region, time period, terminal type and network type;

显示模块,用于根据用户的调取指示,将所述统计处理结果显示给用户。The display module is configured to display the statistical processing results to the user according to the calling instruction of the user.

可选的,所述统计处理模块,具体用于:Optionally, the statistical processing module is specifically used for:

根据用户登录所述目标网站的IP记录,对所述用户行为记录按预设区域进行划分,得到各区域用户行为记录;According to the IP record of the user logging into the target website, the user behavior records are divided into preset areas to obtain user behavior records in each area;

根据所述各区域用户行为记录,确定以下至少一项信息,包括:According to the user behavior records in each area, determine at least one of the following information, including:

各区域新用户增长量;Growth of new users in each region;

预设时间内各区域的活动用户量;The number of active users in each area within the preset time;

预设时间内各区域中用户的在线时长;The online duration of users in each area within the preset time;

预设时间内各区域的留存用户量。The number of retained users in each region within a preset period of time.

可选的,所述统计处理模块,具体用于:Optionally, the statistical processing module is specifically used for:

根据用户对所述目标网站的登录记录,对所述用户行为记录按预设时间段进行划分,得到各时间段用户行为记录;According to the login record of the user to the target website, divide the user behavior record according to the preset time period, and obtain the user behavior record in each time period;

根据所述各时间段用户行为记录,确定以下至少一种信息,包括:According to the user behavior records in each time period, at least one of the following information is determined, including:

各时间段内新用户增长量;New user growth in each time period;

各时间段内的活动用户量;The number of active users in each time period;

各时间段内的用户在线时长;The online duration of users in each time period;

各时间段内的留存用户量。The number of retained users in each time period.

可选的,所述统计处理模块,具体用于:Optionally, the statistical processing module is specifically used for:

根据用户登录所述目标网站所使用的终端类型,对所述用户行为记录按照预设终端类型划分标准进行划分,得到各终端类型用户行为记录;According to the terminal type used by the user to log in to the target website, the user behavior record is divided according to the preset terminal type classification standard to obtain the user behavior record of each terminal type;

根据所述各终端类型用户行为记录,得到以下至少一种信息,包括:According to the user behavior records of each terminal type, at least one of the following information is obtained, including:

对应各终端类型的新用户增长量;Corresponding to the growth of new users of each terminal type;

对应各终端类型的活动用户量;The number of active users corresponding to each terminal type;

对应各终端类型的用户在线时长;The online duration of users corresponding to each terminal type;

对应各终端类型的留存用户量。Corresponding to the number of retained users of each terminal type.

可选的,所述统计处理模块,具体用于:Optionally, the statistical processing module is specifically used for:

根据用户登录所述目标网站所使用的网络类型,对所述用户行为记录按照预设网络类型划分标准进行划分,得到各网络类型用户行为记录;According to the network type used by the user to log in to the target website, the user behavior record is divided according to the preset network type classification standard, and the user behavior record of each network type is obtained;

根据所述各网络类型用户行为记录,得到以下至少一种信息,包括:According to the user behavior records of each network type, at least one of the following information is obtained, including:

对应各网络类型的新用户增长量;Corresponding to the growth of new users of each network type;

对应各网络类型的活动用户量;The number of active users corresponding to each network type;

对应各网络类型的用户在线时长;Corresponding to the online duration of users of each network type;

对应各网络类型的存留用户量。Corresponding to the number of reserved users of each network type.

本发明实施例的基于用户行为的运营分析实现方法及装置,采集预设时间内目标网站上的用户行为记录,并至少从地区维度、时间段维度、终端类型维度以及网络类型维度等方面对用户行为记录进行统计处理,从而为评价运营活动效果提供较为准确的数据支持,提高运营活动评价的准确性。The method and device for implementing user behavior-based operation analysis in the embodiments of the present invention collect user behavior records on the target website within a preset time period, and at least analyze user behavior from the aspects of region dimension, time period dimension, terminal type dimension, and network type dimension. Behavior records are statistically processed to provide more accurate data support for evaluating the effects of operational activities and improve the accuracy of operational activity evaluations.

附图说明Description of drawings

为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative effort.

图1示出了本发明实施例基于用户行为的运营分析实现方法的流程图;FIG. 1 shows a flow chart of a method for implementing an operation analysis based on user behavior in an embodiment of the present invention;

图2示出了实现本发明实施例基于用户行为的运营实现方法的系统架构图;FIG. 2 shows a system architecture diagram for implementing a user behavior-based operation implementation method according to an embodiment of the present invention;

图3示出了本发明实施例基于用户行为的运营分析实现装置的结构示意图。FIG. 3 shows a schematic structural diagram of an apparatus for implementing user behavior-based operation analysis according to an embodiment of the present invention.

具体实施方式detailed description

下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”“第四”等(如果存在)是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换,以便这里描述的本发明的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外,术语“包括”和“具有”以及他们的任何变形,意图在于覆盖不排他的包含,例如,包含了一系列步骤或器的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或器,而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或器。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, eg, a process, method, system, product, or device comprising a sequence of steps or means need not be limited to the expressly listed Instead, other steps or means not explicitly listed or inherent to the process, method, product, or apparatus may be included.

为了提高对运营活动评价的准确性,本发明实施例采集预设时间内目标网站上的用户行为记录,通过对目标网站上的用户行为记录进行统计处理,从而为评价运营活动效果提供较为准确的数据支持,提高运营活动效果评价的准确性。In order to improve the accuracy of the evaluation of operational activities, the embodiment of the present invention collects user behavior records on the target website within a preset time period, and performs statistical processing on the user behavior records on the target website, thereby providing more accurate information for evaluating the effect of operational activities. Data support to improve the accuracy of the evaluation of the effect of operational activities.

图1示出了本发明实施例基于用户行为的运营分析实现方法的流程图,主要步骤包括:Figure 1 shows a flow chart of a method for implementing an operation analysis based on user behavior in an embodiment of the present invention, and the main steps include:

步骤S11:获取预设时间内目标网站上的用户行为记录。Step S11: Obtain user behavior records on the target website within a preset time period.

其中,预设时间内目标网站上产生的用户行为记录包括以下至少一种:Among them, the user behavior records generated on the target website within a preset period include at least one of the following:

用户注册记录;user registration records;

用户登录记录;User login records;

用户登录IP记录;User login IP record;

用户在目标网站上的网页浏览记录;User's web browsing history on the target website;

用户在目标网站上的评论记录;Records of user comments on the target website;

用户在目标网站上的评论记录;Records of user comments on the target website;

用户在目标网站上的分享记录;User's sharing history on the target website;

用户在目标网站上的收藏记录;User's favorite records on the target website;

用户在目标网站上的退出登录记录;User logout records on the target website;

用户在目标网站上的注销记录;Logout records of the user on the target website;

用户登录目标网站所使用的终端类型;The terminal type used by the user to log in to the target website;

用户登录目标网站所使用的网络类型。The type of network the user is using to log in to the target website.

步骤S12:至少按照地区维度、时间段维度、终端类型维度以及网络类型维度对用户行为记录进行统计处理。Step S12: Perform statistical processing on the user behavior records at least according to the dimension of region, time period, terminal type and network type.

步骤S13:根据用户的调取指示,将统计处理结果显示给用户。Step S13: Display the statistical processing results to the user according to the calling instruction of the user.

本发明实施例中,对在预设时间内目标网站上的用户行为记录至少从地区维度、时间段维度、终端类型维度以及网络类型维度进行统计处理,从而可以从上述各个维度展示运营活动的效果,为评估运营活动效果提供细致准确的数据支持。In the embodiment of the present invention, the user behavior records on the target website within the preset time period are statistically processed at least from the dimension of the region, the dimension of the time period, the dimension of the terminal type and the dimension of the network type, so that the effect of the operation activities can be displayed from the above-mentioned various dimensions , to provide detailed and accurate data support for evaluating the effects of operational activities.

在上述实施例中,按照地区维度对用户行为记录进行统计处理,包括:根据用户登录目标网站的IP记录,确定用户所在区域,并按照区域对用户行为记录进行划分,得到各区域用户行为记录;根据各区域用户行为记录,确定以下至少一项信息,包括:In the above embodiment, statistical processing is performed on the user behavior records according to the regional dimension, including: determining the region where the user is located according to the IP record of the user logging into the target website, and dividing the user behavior records according to the regions to obtain the user behavior records in each region; Based on user behavior records in each region, determine at least one of the following information, including:

各区域新用户增长量;Growth of new users in each region;

预设时间内各区域的活动用户量;The number of active users in each area within the preset time;

预设时间内各区域中用户的在线时长;The online duration of users in each area within the preset time;

预设时间内各区域的留存用户量。The number of retained users in each region within a preset period of time.

本发明实施例中按照区域对用户行为记录进行统计分析,可以确定运营活动在各区域的实际效果,如一运营活动在A地区的新用户增长量以及活动用户量等参数远远大于B地区的相关参数,说明该运营活动在A地区比较具有吸引力,从而也能够促使活动运营厂家对活动按照区域进行及时调整。In the embodiment of the present invention, the user behavior records are statistically analyzed according to the region, and the actual effect of the operation activity in each region can be determined. For example, the parameters such as the growth of new users and the number of active users of an operation activity in the A region are far greater than those in the B region. Parameters, indicating that the operation activity is more attractive in region A, which can also prompt the activity operator to adjust the activity according to the region in time.

本发明实施例中,按照时间段维度对用户行为记录进行统计处理包括:根据用户对目标网站的登录记录,对用户行为记录按预设时间段进行划分,得到各时间段用户行为记录;根据各时间段用户行为记录,确定以下至少一种信息,包括:In the embodiment of the present invention, the statistical processing of the user behavior records according to the dimension of the time period includes: according to the user's login records to the target website, dividing the user behavior records according to the preset time periods to obtain the user behavior records of each time period; Time period user behavior records, determine at least one of the following information, including:

各时间段内新用户增长量;New user growth in each time period;

各时间段内的活动用户量;The number of active users in each time period;

各时间段内的用户在线时长;The online duration of users in each time period;

各时间段内的留存用户量。The number of retained users in each time period.

本发明实施例中按照时间段对用户行为记录进行统计分析,其中该时间段可以为比较长的季度时间段、月时间段、周时间段,也可以为更为精确的小时时间段,从而可以统计分析出用户参与运营活动的时间以及相关行为,如在运营活动的初始时间段有数量较多的新用户加入,但一段时间后,该部分用户的存留用户量却下降明显,说明该运营活动仅仅能引起用户短时间的兴趣,并不能获取一部分的忠诚用户,那么此类运营工作的必要性就需要慎重的考虑。In the embodiment of the present invention, the user behavior records are statistically analyzed according to the time period, wherein the time period can be a relatively long quarterly time period, monthly time period, weekly time period, or a more precise hourly time period, so that Statistical analysis shows the time and related behaviors of users participating in operation activities. For example, a large number of new users join in the initial period of operation activities, but after a period of time, the number of retained users of this part of users drops significantly, indicating that the operation activities It can only arouse the short-term interest of users, but cannot acquire a part of loyal users, so the necessity of this kind of operation needs to be carefully considered.

本发明实施例中,按照终端类型维度对用户行为记录进行统计处理包括:根据用户登录目标网站所使用的终端类型,对用户行为记录按照预设终端类型划分标准进行划分,得到各终端类型用户行为记录;根据各终端类型用户行为记录,得到以下至少一种信息,包括:In the embodiment of the present invention, the statistical processing of user behavior records according to the terminal type dimension includes: according to the terminal type used by the user to log in to the target website, the user behavior records are divided according to the preset terminal type classification standard, and the user behavior of each terminal type is obtained. Records; according to the user behavior records of each terminal type, at least one of the following information is obtained, including:

对应各终端类型的新用户增长量;Corresponding to the growth of new users of each terminal type;

对应各终端类型的活动用户量;The number of active users corresponding to each terminal type;

对应各终端类型的用户在线时长;The online duration of users corresponding to each terminal type;

对应各终端类型的留存用户量。Corresponding to the number of retained users of each terminal type.

本发明实施例中,按照终端类型对用户行为记录进行统计分析,可以确定用户参与运营活动的方式,如根据用户登录目标网站所使用的终端类型确定80%的用户是通过移动终端登录的目标网站,则可以确定用户习惯使用移动终端参与当前的运营活动,可以促使商家对运营活动方式的调整。In the embodiment of the present invention, the user behavior records are statistically analyzed according to the terminal type to determine the way the user participates in the operation activities. For example, according to the terminal type used by the user to log in to the target website, it is determined that 80% of the users log in to the target website through mobile terminals , it can be determined that users are accustomed to using mobile terminals to participate in current operating activities, which can prompt merchants to adjust their operating methods.

本发明实施例中,按照网络类型维度对用户行为记录进行统计处理,包括:根据用户登录目标网站所使用的网络类型,对用户行为记录按照预设网络类型划分标准进行划分,得到各网络类型用户行为记录;根据各网络类型用户行为记录,得到以下至少一种信息,包括:In the embodiment of the present invention, the user behavior records are statistically processed according to the network type dimension, including: according to the network type used by the user to log in to the target website, the user behavior records are divided according to the preset network type classification standard, and the user behavior records of each network type are obtained. Behavior records: According to user behavior records of various network types, at least one of the following information is obtained, including:

对应各网络类型的新用户增长量;Corresponding to the growth of new users of each network type;

对应各网络类型的活动用户量;The number of active users corresponding to each network type;

对应各网络类型的用户在线时长;Corresponding to the online duration of users of each network type;

对应各网络类型的存留用户量。Corresponding to the number of reserved users of each network type.

图2示出了实现本发明实施例基于用户行为的运营实现方法的系统结构图。从图2可以看出,该系统包括应用程序接口1、kafka2、实时计算系统3、分布式文档存储数据库4、数据仓库工具5、应用程序协调服务集群9、资源管理器6、关系型数据库管理系统7以及展示平台8。FIG. 2 shows a system structure diagram for implementing a user behavior-based operation implementation method according to an embodiment of the present invention. As can be seen from Figure 2, the system includes application program interface 1, kafka2, real-time computing system 3, distributed document storage database 4, data warehouse tool 5, application program coordination service cluster 9, resource manager 6, relational database management System 7 and display platform 8 .

其中,应用程序接口1用于输入用户行为记录,具体的该应用程序接口1可以为REST(Representational State Transfer,表述性状态传递)应用程序接口1。Wherein, the application program interface 1 is used for inputting user behavior records, specifically, the application program interface 1 may be a REST (Representational State Transfer, representational state transfer) application program interface 1 .

Kafk a是一种高吞吐量的分布式发布订阅消息系统用于接收应用程序接口1输入的用户行为记录,并存储到Kafka2的不同分区中。Kafk a is a high-throughput distributed publish-subscribe message system used to receive user behavior records input by application program interface 1 and store them in different partitions of Kafka2.

实时计算系统3的不同拓扑对kafka2中的数据进行处理,并实时迭代计算不同维度的数据,计算的结果写入分布式文档存储数据库4及数据仓库工具5中。The different topologies of the real-time computing system 3 process the data in kafka2, and iteratively calculate the data of different dimensions in real time, and the calculated results are written into the distributed document storage database 4 and the data warehouse tool 5 .

本实施例中,实时计算系统3可以为storm,其中,storm是一个分布式、可容错的实时计算系统3。分布式文档存储数据库4可以采用MongoDB实现,MongoDB是一个基于分布式文件存储的数据库,由C++语言编写,旨在为WEB应用提供可扩展的高性能数据存储解决方案。数据仓库工具5可以采用Hive,Hive是基于Hadoop的一种数据仓库工具,可以将结构化的数据文件映射为一张数据库表,并提供简单的查询功能。In this embodiment, the real-time computing system 3 may be storm, wherein storm is a distributed, fault-tolerant real-time computing system 3 . Distributed document storage database 4 can be implemented using MongoDB, which is a database based on distributed file storage, written in C++ language, and aims to provide scalable high-performance data storage solutions for WEB applications. The data warehouse tool 5 can use Hive, which is a Hadoop-based data warehouse tool that can map structured data files into a database table and provide simple query functions.

对于Hive中的数据,可以采用MR(memory read,存储器读出)任务进行不同维度的处理分析,最后将分析的结果导入到关系型数据库管理系统7(如MySQL)中。For the data in Hive, MR (memory read, memory read) tasks can be used for processing and analysis in different dimensions, and finally the analysis results are imported into the relational database management system 7 (such as MySQL).

用户通过展示平台8可以从分布式文档存储数据库4以及关系型数据库管理系统7中获取对用户行为记录进行分析处理后的结果。Through the display platform 8 , the user can obtain the analysis and processing results of the user behavior records from the distributed document storage database 4 and the relational database management system 7 .

图3示出了本发明实施例基于用户行为的运营分析实现装置的结构示意图,包括:行为记录获取模块21、统计处理模块22以及显示模块23;Fig. 3 shows a schematic structural diagram of a device for implementing user behavior-based operation analysis according to an embodiment of the present invention, including: a behavior record acquisition module 21, a statistical processing module 22, and a display module 23;

其中,行为记录获取模块21,用于获取预设时间内目标网站上的用户行为记录;Wherein, the behavior record obtaining module 21 is used to obtain user behavior records on the target website within a preset time;

统计处理模块22,用于至少按照地区维度、时间段维度、终端类型维度以及网络类型维度对用户行为记录进行统计处理;A statistical processing module 22, configured to perform statistical processing on user behavior records at least according to the dimension of region, time period, terminal type and network type;

显示模块23,用于根据用户的调取指示,将统计处理结果显示给用户。The display module 23 is configured to display the statistical processing results to the user according to the calling instruction of the user.

在上述实施例中,统计处理模块22,具体用于:In the above embodiment, the statistics processing module 22 is specifically used for:

根据用户登录目标网站的IP记录,对用户行为记录按预设区域进行划分,得到各区域用户行为记录;According to the IP record of the user logging into the target website, the user behavior records are divided into preset areas, and the user behavior records of each area are obtained;

根据各区域用户行为记录,确定以下至少一项信息,包括:Based on user behavior records in each region, determine at least one of the following information, including:

各区域新用户增长量;Growth of new users in each region;

预设时间内各区域的活动用户量;The number of active users in each area within the preset time;

预设时间内各区域中用户的在线时长;The online duration of users in each area within the preset time;

预设时间内各区域的留存用户量。The number of retained users in each region within a preset period of time.

在上述实施例中,统计处理模块22,具体用于:In the above embodiment, the statistics processing module 22 is specifically used for:

根据用户对目标网站的登录记录,对用户行为记录按预设时间段进行划分,得到各时间段用户行为记录;According to the user's login records to the target website, the user behavior records are divided according to the preset time period, and the user behavior records of each time period are obtained;

根据各时间段用户行为记录,确定以下至少一种信息,包括:According to user behavior records in each time period, determine at least one of the following information, including:

各时间段内新用户增长量;New user growth in each time period;

各时间段内的活动用户量;The number of active users in each time period;

各时间段内的用户在线时长;The online duration of users in each time period;

各时间段内的留存用户量。The number of retained users in each time period.

在上述实施例中,统计处理模块22,具体用于:In the above embodiment, the statistics processing module 22 is specifically used for:

根据用户登录目标网站所使用的终端类型,对用户行为记录按照预设终端类型划分标准进行划分,得到各终端类型用户行为记录;According to the terminal type used by the user to log in to the target website, the user behavior record is divided according to the preset terminal type classification standard, and the user behavior record of each terminal type is obtained;

根据各终端类型用户行为记录,得到以下至少一种信息,包括:According to the user behavior records of each terminal type, at least one of the following information is obtained, including:

对应各终端类型的新用户增长量;Corresponding to the growth of new users of each terminal type;

对应各终端类型的活动用户量;The number of active users corresponding to each terminal type;

对应各终端类型的用户在线时长;The online duration of users corresponding to each terminal type;

对应各终端类型的留存用户量。Corresponding to the number of retained users of each terminal type.

在上述实施例中,统计处理模块22,具体用于:In the above embodiment, the statistics processing module 22 is specifically used for:

根据用户登录目标网站所使用的网络类型,对用户行为记录按照预设网络类型划分标准进行划分,得到各网络类型用户行为记录;According to the network type used by the user to log in to the target website, the user behavior record is divided according to the preset network type classification standard, and the user behavior record of each network type is obtained;

根据各网络类型用户行为记录,得到以下至少一种信息,包括:According to the user behavior records of each network type, at least one of the following information is obtained, including:

对应各网络类型的新用户增长量;Corresponding to the growth of new users of each network type;

对应各网络类型的活动用户量;The number of active users corresponding to each network type;

对应各网络类型的用户在线时长;Corresponding to the online duration of users of each network type;

对应各网络类型的存留用户量。Corresponding to the number of reserved users of each network type.

本发明实施例基于用户行为的运营分析实现方法及装置,按照不同维度对用户行为记录进行细致划分得到分析运营活动效果的不同维度指标,从而可以:(1)在不同维度分析运营活动的效果;(2)根据统计确定的用户兴趣点指导运营活动分析工作;(3)根据统计分析的结果能够为运营活动效果评价提供数据支持,从而可以对运营活动进行及时调整。The embodiment of the present invention is based on the user behavior operation analysis method and device, and divides the user behavior records according to different dimensions to obtain different dimensional indicators for analyzing the effects of operation activities, so as to: (1) analyze the effects of operation activities in different dimensions; (2) According to the statistically determined points of interest of users to guide the analysis of operation activities; (3) According to the results of statistical analysis, it can provide data support for the evaluation of the effect of operation activities, so that the operation activities can be adjusted in time.

本领域普通技术人员可以理解:实现上述各方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成。前述的程序可以存储于一计算机可读取存储介质中。该程序在执行时,执行包括上述各方法实施例的步骤;而前述的存储介质包括:ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

最后应说明的是:以上各实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述各实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分或者全部技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (10)

1. a kind of OA operation analysis implementation method based on user behavior, it is characterised in that including:
Obtain the user behavior record in Preset Time on targeted website;
At least according to regional dimension, time period dimension, terminal type dimension and network type dimension to institute Stating user behavior record carries out statistical disposition;
Instruction is transferred according to user, the statistical disposition result is shown to user.
2. method according to claim 1, it is characterised in that according to regional dimension to the user Behavior record carries out statistical disposition, including:
The IP records of targeted website, predeterminable area is pressed to user behavior record according to User logs in Divided, obtained each zone user behavior record;
According to each zone user behavior record, it is determined that following at least one information, including:
Each new user's increment in region;
The active user amount in each region in Preset Time;
In Preset Time in each region user online hours;
The retention customer volume in each region in Preset Time.
3. method according to claim 1, it is characterised in that according to time period dimension to the use Family behavior record carries out statistical disposition to be included:
According to user to the login record of the targeted website, the user behavior is recorded at preset timed intervals Duan Jinhang is divided, and obtains each time period user behavior record;
Recorded according to each time period user behavior, it is determined that following at least one information, including:
New user's increment in each time period;
Active user amount in each time period;
User's online hours in each time period;
Retention customer volume in each time period.
4. method according to claim 1, it is characterised in that according to terminal type dimension to described User behavior record carries out statistical disposition to be included:
The terminal type that the targeted website according to User logs in is used, presses to user behavior record Divided according to the default terminal type criteria for classifying, obtained each terminal type user behavior record;
Recorded according to each terminal type user behavior, obtain following at least one information, including:
New user's increment of each terminal type of correspondence;
The active user amount of each terminal type of correspondence;
User's online hours of each terminal type of correspondence;
The retention customer volume of each terminal type of correspondence.
5. method according to claim 1, it is characterised in that according to network type dimension to described User behavior record carries out statistical disposition, including:
The network type that the targeted website according to User logs in is used, presses to user behavior record Divided according to the default network type criteria for classifying, obtained each network-type user behavior record;
According to each network-type user behavior record, following at least one information is obtained, including:
New user's increment of each network type of correspondence;
The active user amount of each network type of correspondence;
User's online hours of each network type of correspondence;
Correspond to each network type retains customer volume.
6. device is realized in a kind of OA operation analysis based on user behavior, it is characterised in that including:
Behavior record acquisition module, for obtaining the user behavior record in Preset Time on targeted website;
Statistical disposition module, at least according to regional dimension, time period dimension, terminal type dimension with And network type dimension carries out statistical disposition to user behavior record;
Display module, for transferring instruction according to user, user is shown to by the statistical disposition result.
7. device according to claim 6, it is characterised in that the statistical disposition module, specifically For:
The IP records of targeted website, predeterminable area is pressed to user behavior record according to User logs in Divided, obtained each zone user behavior record;
According to each zone user behavior record, it is determined that following at least one information, including:
Each new user's increment in region;
The active user amount in each region in Preset Time;
In Preset Time in each region user online hours;
The retention customer volume in each region in Preset Time.
8. device according to claim 6, it is characterised in that the statistical disposition module, specifically For:
According to user to the login record of the targeted website, the user behavior is recorded at preset timed intervals Duan Jinhang is divided, and obtains each time period user behavior record;
Recorded according to each time period user behavior, it is determined that following at least one information, including:
New user's increment in each time period;
Active user amount in each time period;
User's online hours in each time period;
Retention customer volume in each time period.
9. device according to claim 6, it is characterised in that the statistical disposition module, specifically For:
The terminal type that the targeted website according to User logs in is used, presses to user behavior record Divided according to the default terminal type criteria for classifying, obtained each terminal type user behavior record;
Recorded according to each terminal type user behavior, obtain following at least one information, including:
New user's increment of each terminal type of correspondence;
The active user amount of each terminal type of correspondence;
User's online hours of each terminal type of correspondence;
The retention customer volume of each terminal type of correspondence.
10. device according to claim 6, it is characterised in that the statistical disposition module, tool Body is used for:
The network type that the targeted website according to User logs in is used, presses to user behavior record Divided according to the default network type criteria for classifying, obtained each network-type user behavior record;
According to each network-type user behavior record, following at least one information is obtained, including:
New user's increment of each network type of correspondence;
The active user amount of each network type of correspondence;
User's online hours of each network type of correspondence;
Correspond to each network type retains customer volume.
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Application publication date: 20170531