Google增强型分析>未跟踪自定义维度

时间:2017-02-21 13:22:34

标签: google-analytics e-commerce

我们有一个使用增强分析的网站。在查看产品列表的页面上,跟踪代码如下所示:

window.ga=window.ga||function(){(ga.q=ga.q||[]).push(arguments)};ga.l=+new Date;
ga.l = +new Date;
ga('create', 'xxxxxx', 'auto', {
    anonymizeIp: true
});

ga('require', 'ec');
ga('set', 'currencyCode', 'EUR');
ga('ec:addImpression', {
    'id': '5',
    'name': 'Lorem Ipsum',
    'category': 'Lorem',
    'list': 'lorem-list',
    'dimension1': '15',
    'dimension2': 'Lorem'
});
ga('ec:addImpression', {
    'id': '6',
    'name': 'Lorem Ipsum',
    'category': 'Lorem',
    'list': 'lorem-list',
    'dimension1': '16',
    'dimension2': 'Lorem'
});
ga('ec:addImpression', {
    'id': '7',
    'name': 'Lorem Ipsum',
    'category': 'Lorem',
    'list': 'lorem-list',
    'dimension1': '17',
    'dimension2': 'Lorem'
});    
ga('send', 'pageview');

正确衡量展示次数(ID,名称,类别,列表等),但所有测量的自定义维度(dimension1和dimension2)似乎都为空(现在已经收集了3周)。

据我所知,代码完全如文档中所述:https://developers.google.com/analytics/devguides/collection/analyticsjs/enhanced-ecommerce#measuring-activities

我在监督什么?

更新:根据要求使用chrome GA调试(匿名)调试日志:调试正确提供尺寸的地方:

analytics_debug.js:10 Running analytics_debug.js. This script is intended for testing and debugging only.
log @ analytics_debug.js:10
J @ analytics_debug.js:9
(anonymous) @ analytics_debug.js:76
(anonymous) @ analytics_debug.js:76
analytics_debug.js:10 Initializing Google Analytics.
analytics_debug.js:10 Loading resource for plugin: ec
analytics_debug.js:10 Loading script: "https://www.google-analytics.com/plugins/ua/ec.js"
analytics_debug.js:10 Running command: ga("create", "UA-xxx-1", "auto", {anonymizeIp: true})
analytics_debug.js:10 Creating new tracker: t0
analytics_debug.js:10 Auto cookieDomain found: "myclient.nl"
analytics_debug.js:10 This field cannot be set in a create method. Please use ga("set", "anonymizeIp", true);
log @ analytics_debug.js:10
J @ analytics_debug.js:9
Td @ analytics_debug.js:13
ad @ analytics_debug.js:51
Z.create @ analytics_debug.js:69
Y.b.(anonymous function) @ analytics_debug.js:38
jf.R @ analytics_debug.js:68
jf.H @ analytics_debug.js:66
Z.P @ analytics_debug.js:73
cd @ analytics_debug.js:59
A @ analytics_debug.js:59
(anonymous) @ analytics_debug.js:76
(anonymous) @ analytics_debug.js:76
analytics_debug.js:10 Running command: ga("require", "ec")
analytics_debug.js:10 Waiting on require of "ec" to be fulfilled.
analytics_debug.js:10 Registered new plugin: ga(provide, "render", Function)
analytics_debug.js:10 Running command: ga("require", "ec")
analytics_debug.js:10 Waiting on require of "ec" to be fulfilled.
analytics_debug.js:10 Executing Google Analytics commands.
analytics_debug.js:10 Registered new plugin: ga(provide, "ec", Function)
analytics_debug.js:10 Running command: ga("require", "ec")
analytics_debug.js:10 Plugin "ec" intialized on tracker "t0".
analytics_debug.js:10 Running command: ga("set", "currencyCode", "EUR")
analytics_debug.js:10 Running command: ga("ec:addImpression", {id: "1", name: "xxxx", category: "xxx", list: "xxxx", dimension1: "7", dimension2: "xxx"})
analytics_debug.js:10 Running command: ga("ec:addImpression", {id: "2", name: "xxxx", category: "xxx", list: "xxxx", dimension1: "7", dimension2: "xxx"})
analytics_debug.js:10 Running command: ga("ec:addImpression", {id: "3", name: "xxxx", category: "xxx", list: "xxxx", dimension1: "7", dimension2: "xxx"})
analytics_debug.js:10 Running command: ga("ec:addImpression", {id: "7", name: "xxxx", category: "xxx", list: "xxxx", dimension1: "7", dimension2: "xxx"})
analytics_debug.js:10 Running command: ga("ec:addImpression", {id: "8", name: "xxxx", category: "xxx", list: "xxxx", dimension1: "7", dimension2: "xxx"})
analytics_debug.js:10 Running command: ga("send", "pageview")
analytics_debug.js:10 
Sent beacon:

analytics_debug.js:10 _j1                                              (&jid)       
analytics_debug.js:10 adSenseId                                        (&a)         xxxxxxxxx
analytics_debug.js:10 apiVersion                                       (&v)         1
analytics_debug.js:10 clientId                                         (&cid)       xxxxxxxxx
analytics_debug.js:10 currencyCode                                     (&cu)        EUR
analytics_debug.js:10 ec:impression list "1" name                      (&il1nm)     xxx
analytics_debug.js:10 ec:impression list "1" product "1" category      (&il1pi1ca)  xxx
analytics_debug.js:10 ec:impression list "1" product "1" dimension "1" (&il1pi1cd1) 7
analytics_debug.js:10 ec:impression list "1" product "1" dimension "2" (&il1pi1cd2) xxx
analytics_debug.js:10 ec:impression list "1" product "1" id            (&il1pi1id)  1
analytics_debug.js:10 ec:impression list "1" product "1" name          (&il1pi1nm)  xxx
analytics_debug.js:10 ec:impression list "1" product "2" category      (&il1pi2ca)  xxx
analytics_debug.js:10 ec:impression list "1" product "2" dimension "1" (&il1pi2cd1) 7
analytics_debug.js:10 ec:impression list "1" product "2" dimension "2" (&il1pi2cd2) xxx
analytics_debug.js:10 ec:impression list "1" product "2" id            (&il1pi2id)  2
analytics_debug.js:10 ec:impression list "1" product "2" name          (&il1pi2nm)  xxx
analytics_debug.js:10 ec:impression list "1" product "3" category      (&il1pi3ca)  xxx
analytics_debug.js:10 ec:impression list "1" product "3" dimension "1" (&il1pi3cd1) 7
analytics_debug.js:10 ec:impression list "1" product "3" dimension "2" (&il1pi3cd2) xxx
analytics_debug.js:10 ec:impression list "1" product "3" id            (&il1pi3id)  3
analytics_debug.js:10 ec:impression list "1" product "3" name          (&il1pi3nm)  xxx
analytics_debug.js:10 ec:impression list "1" product "4" category      (&il1pi4ca)  xxx
analytics_debug.js:10 ec:impression list "1" product "4" dimension "1" (&il1pi4cd1) 7
analytics_debug.js:10 ec:impression list "1" product "4" dimension "2" (&il1pi4cd2) xxx
analytics_debug.js:10 ec:impression list "1" product "4" id            (&il1pi4id)  7
analytics_debug.js:10 ec:impression list "1" product "4" name          (&il1pi4nm)  xxx
analytics_debug.js:10 ec:impression list "1" product "5" category      (&il1pi5ca)  xxx
analytics_debug.js:10 ec:impression list "1" product "5" dimension "1" (&il1pi5cd1) 7
analytics_debug.js:10 ec:impression list "1" product "5" dimension "2" (&il1pi5cd2) xxx
analytics_debug.js:10 ec:impression list "1" product "5" id            (&il1pi5id)  8
analytics_debug.js:10 ec:impression list "1" product "5" name          (&il1pi5nm)  xxx
analytics_debug.js:10 encoding                                         (&de)        UTF-8
analytics_debug.js:10 hitType                                          (&t)         pageview
analytics_debug.js:10 javaEnabled                                      (&je)        0
analytics_debug.js:10 language                                         (&ul)        en-us
analytics_debug.js:10 location                                         (&dl)        https://www.myclient.nl/xxxx
analytics_debug.js:10 screenColors                                     (&sd)        24-bit
analytics_debug.js:10 screenResolution                                 (&sr)        1680x1050
analytics_debug.js:10 title                                            (&dt)        xxxxx - myclient
analytics_debug.js:10 trackingId                                       (&tid)       UA-xxxx-1
analytics_debug.js:10 viewportSize                                     (&vp)        1610x494

1 个答案:

答案 0 :(得分:1)

我的假设是有两个问题。

1)您正在使用产品范围的自定义维度。

由于您的自定义尺寸是产品范围,因此请务必注意,这些尺寸不会通过增强型电子商务的所有阶段归因于ID。这意味着自定义维度仅包含与其发送的匹配相关的数据。在这种情况下,您可以检索的唯一指标是'展示次数'。如果您想使用其他相关指标查看此自定义维度,则需要将其包含在每个增强型电子商务热门中。

链接以获取更多增强型电子商务归因信息:https://support.google.com/analytics/answer/6014841?hl=en#product_attribution

这导致我们:

2)您可能在自定义尺寸上使用了错误的指标。

由于这些维度仅在发送时具有相关性,并且根据您提供的示例,唯一可以创建的报告是:

尺寸:

尺寸1,尺寸2

度量:

曝光

在提供的自定义报告示例(包含作者/网页浏览量)中,使用的指标是综合浏览量。由于您的维度不是与网页视图匹配一起发送的匹配级别维度,因此没有“页面浏览量”'可用于这些自定义维度的指标,导致它们为空的原因。