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流量的秘密:Google Analytics网站分析与优化技巧(第3版)

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你知道如何通过量化网站的各类数据来制定相应的营销方案吗?你知道有些看似不可以量化的网站信息也是可以量化的吗?哪种市场营销活动最有成效?如何量化这些效果?如何留住访客?如何提高自己网站的影响力和竞争力?《流量的秘密:Google Analytics网站分析与优化技巧(第3版)》将运用Google Analytics分析工具,帮你完美解决这些问题,教你获取真正有价值的信息。
《流量的秘密:Google Analytics网站分析与优化技巧(第3版)》讲述了安装和部署Google Analytics最实用的技术,将较大化网站潜力所需的知识奉献给读者。通过了解网站的访客,你可以如手术刀般精准地调整网页内容和营销预算,以期获得更佳的投资回报率。
Catalogue

第一部分 衡量成功
第1章 为什么了解网站流量对你的业务至关重要
1.1 网站效果评估——为什么要这样做
1.2 网站分析可以提供的信息
1.3 从哪里开始
1.4 网站分析可以辅助你做出的决策
1.5 网站分析的投资回报率
1.6 网站分析如何帮助你了解网站流量
1.7 网站分析在企业中的位置
1.8 Google Analytics有什么独特之处
1.9 从哪里获得网站分析相关的帮助
1.9.1 谷歌提供的资源(免费)
1.9.2 非谷歌提供的资源(免费)
1.9.3 Google Analytics官方认证合作伙伴(付费)
1.10 总结

第2章 网站分析的现有方法及其准确性
2.1 页面标签与日志文件
2.2 网站分析中的cookie
2.3 了解网站分析数据的准确性
2.3.1 影响日志文件中访客数据准确性的因素
2.3.2 影响页面标签访客数据准确性的因素
2.3.3 使用cookie时影响访客数据的因素
2.3.4 比较不同网站分析供应商的数据
2.3.5 为什么PPC服务供应商的数据与网站分析报告不符
2.3.6 数据的错误应用:谎言、该死的谎言、统计数字
2.3.7 提高网站分析数据的准确性
2.4 网站分析行业对隐私权的思考
2.5 总结

第3章 Google Analytics的特性、优势和局限
3.1 Google Analytics的主要特点和功能
3.1.1 标准功能
3.1.2 高级功能
3.2 Google Analytics如何工作
3.2.1 了解Google Analytics追踪代码
3.2.2 默认情况不追踪什么
3.2.3 默认的归因模式
3.2.4 Google Analytics的限制
3.3 Google Analytics不能做什么
3.4 关于Google Analytics高级版
3.5 Google Analytics与隐私权
3.6 Urchin是什么
3.6.1 Google Analytics与Urchin的不同点
3.6.2 Urchin的优点
3.6.3 选择Google Analytics或Urchin的标准
3.7 总结

第二部分 使用Google Analytics分析报告
第4章 Google Analytics应用界面
4.1 可发现性与初步报告访问
4.2 报告布局
4.2.1 维度与指标
4.2.2 数据表
4.2.3 日期范围选择器
4.2.4 指标数据汇总
4.2.5 图表选项
4.2.6 报表视图
4.2.7 绘制选定行
4.2.8 次级维度
4.2.9 更改显示维度
4.2.10 报表排序
4.2.11 报表内容搜索
4.2.12 报表过滤器(高级)
4.2.13 图表显示和注释
4.2.14 报告分组
4.2.15 选项卡式视图
4.2.16 高级细分
4.2.17 导出
4.2.18 电子邮件报告
4.2.19 添加到信息中心
4.3 总结

第5章 报告解读
5.1 首页功能概述
5.1.1 实时报告
5.1.2 智能事件
5.1.3 流可视化
5.1.4 信息中心
5.2 热门标准报告
5.2.1 多渠道路径
5.2.2 社交报告
5.2.3 访客:地理位置报告
5.2.4 电子商务:概述报告
5.2.5 动态图表
5.2.6 目标和渠道报告
5.2.7 访客:移动报告
5.2.8 流量来源:搜索引擎优化
5.2.9 AdWords:广告系列
5.2.10 AdWords:关键字报告
5.2.11 AdWords:匹配的搜索查询报告
5.2.12 AdWords:关键字位置报告
5.2.13 内容:导航摘要
5.2.14 内容:网站速度
5.2.15 站内搜索:使用情况报告
5.2.16 内容:网页内分析
5.3 理解报告采样
5.4 总结

第三部分 Google Analytics实施
第6章 入门:初始设置
6.1 创建Google Analytics账户
6.1.1 基本账户信息
6.1.2 配置数据共享设置
6.1.3 接受服务条款
6.2 标记网页
6.2.1 了解Google Analytics跟踪代码
6.2.2 部署GATC-标记页面
6.3 备份:本地备份数据
6.4 使用账户、网络媒体资源和配置文件
6.4.1 创建一个新的配置文件
6.4.2 创建新的网络媒体资源
6.4.3 创建新账户
6.4.4 汇总报告
6.4.5 汇总报告、多个配置文件和多个网络媒体资源之间的选择
6.5 代理商和托管服务提供商:客户账户的设置
6.6 整合AdWords数据
6.7 整合AdSense数据
6.8 整合网站管理工具数据
6.9 整合Feedburner
6.10 跟踪移动访客
6.11 实施前常见的问题
6.12 概述

第7章 高级实施
7.1 _trackPageview: Google Analytics的主要函数
7.1.1 利用虚拟页面跟踪可读性较差的URL
7.1.2 使用虚拟页面监测文件下载
7.1.3 使用虚拟页面跟踪表单完成度
7.1.4 虚拟页面与事件跟踪
7.2 跟踪电子商务交易
7.2.1 跟踪安全的电子商务交易
7.2.2 使用第三方支付网关
7.2.3 当第三方支付网关不允许跟踪时怎么办
7.2.4 跟踪负交易
7.3 营销活动跟踪
7.3.1 给着陆页URL添加营销活动参数
7.3.2 创建自定义广告字段
7.4 事件跟踪
7.4.1 设置事件跟踪
7.4.2 _trackEvent函数
7.4.3 定义事件报告的结构
7.4.4 使用事件跟踪监测Flash视频及动画
7.4.5 使用事件跟踪Banner和其他出站链接
7.4.6 使用事件跟踪监测mailto:单击事件
7.4.7 跟踪嵌入的YouTube视频
7.5 自定义GATC
7.5.1 跨子域跟踪
7.5.2 跨多个顶级域跟踪
7.5.3 控制超时设置
7.5.4 设置来源忽略偏好
7.5.5 网站测速采样率
7.5.6 隐去IP地址
7.5.7 控制数据采集采样率
7.6 总结

第8章 最佳配置指南
8.1 初始设置
8.1.1 设置默认页面
8.1.2 排除不必要的参数
8.1.3 货币设置
8.1.4 启用电子商务报告
8.1.5 AdWords费用来源设置
8.1.6 启用站内搜索
8.2 目标转化和渠道
8.2.1 定义目标的重要性
8.2.2 不同的渠道(漏斗)形状表示的含义
8.2.3 目标的设置过程
8.2.4 渠道的配置过程
8.2.5 跟踪有相同URL步骤的渠道
8.3 细分的重要性
8.4 选择高级细分还是配置文件过滤器
8.5 配置文件细分:用过滤器细分访客
8.5.1 创建配置文件过滤器
8.5.2 过滤器的逻辑
8.5.3 自定义过滤器:可用字段
8.5.4 5种常用的过滤器
8.6 报告细分:使用高级细分对访客进行细分
8.6.1 默认高级细分
8.6.2 自定义高级细分
8.6.3 自定义细分例子
8.7 创建自定义智能提醒
8.8 总结

第9章 定制Google Analytics
9.1 为什么要对现有Google Analytics进行定制
9.2 自定义报告
9.2.1 周几的自定义报告
9.2.2 页面的唯一访客
9.2.3 联盟渠道的表现
9.2.4 改进的AdWords报告
9.2.5 管理自定义报告
9.3 定制搜索引擎验证列表
9.3.1 区分区域性的搜索引擎
9.3.2 为SEO添加新的搜索引擎
9.4 标记访客、会话和页面
9.5 跟踪错误页面和损坏的链接
9.6 追踪来自PPC 网络联盟的流量
9.7 网页内分析:区分指向相同页面的链接
9.8 匹配订单和具体的推荐来源数据
9.9 跟踪营销活动链接和文件下载
9.10 改变目标转化归属的引荐来源
9.11 汇总报告
9.11.1 跟踪汇总订单
9.11.2 汇总技术的影响
9.11.3 改进提示:简化汇总的页面浏览数据
9.12 总结

第四部分 利用访客数据驱动网站优化
第10章 专注于关键绩效指标
10.1 设置目标和关键成果
10.2 KPI的选择和准备
10.2.1 什么是KPI
10.2.2 准备KPI
10.3 展示KPI
10.3.1 通过细分呈现层次化的KPI
10.3.2 行业基准
10.4 不同工作职位的KPI示例
10.4.1 电子商务经理的KPI示例
10.4.2 营销和传播的KPI示例
10.4.3 社交媒体的KPI示例
10.4.4 内容创建者的KPI示例
10.4.5 网站管理员KPI的示例
10.5 使用KPI衡量Web 2.0
10.6 总结

第11章 现实世界的任务
11.1 识别和优化表现较差的网页
11.1.1 使用着陆网页(跳出率)
11.1.2 渠道优化案例研究
11.2 衡量站内搜索的效果
11.2.1 站内搜索对收入的影响
11.2.2 站内搜索影响的总结
11.3 优化搜索引擎营销
11.3.1 关键字挖掘
11.3.2 广告活动优化(AdWords)
11.3.3 归因优化
11.3.4 着陆页优化和SEO
11.3.5 AdWords按时段优化
11.3.6 AdWords广告内容优化
11.4 非电子商务网站的货币化
11.4.1 方法1:赋予目标价值
11.4.2 方法2:伪电子商务跟踪
11.5 跟踪线下营销
11.5.1 使用虚拟URL跟踪线下访客
11.5.2 使用编码URL跟踪线下访客
11.5.3 结合搜索来跟踪线下访客
11.5.4 结合URL缩短工具跟踪线下访客
11.5.5 结合快速响应码跟踪线下访客
11.5.6 总结和案例研究
11.6 Google Website Optimizer简介
11.6.1 常见的误解
11.6.2 AMAT:哪些地方适合使用测试
11.6.3 选择测试类型
11.6.4 入门:实施多变量实验
11.6.5 Calyx Flowers:一个零售网站多变量测试案例研究
11.6.6 YouTube:一个内容发布网站的多变量案例研究
11.7 总结

第12章 Google Analytics与第三方应用程序的整合
12.1 提取Google Analytics的信息
12.1.1 利用JavaScript向CRM导入数据
12.1.2 利用PHP向CRM导入数据
12.2 使用Google Analytics核心报告API
12.2.1 基础知识——如何使用核心报告API
12.2.2 API应用示例
12.3 示例应用程序案例研究
12.3.1 Google Analytics与电子表格的集成
12.3.2 调查工具:客户之声的整合
12.4 Google Analytics的人口统计学
12.5 Google Analytics客户来电跟踪
12.6 Google Analytics视频点播跟踪
12.7 Google Analytics移动应用程序跟踪
12.8 整合Website Optimizer与Google Analytics
12.9 总结

附录A 正则表达式概述
A.1 理解基本原理
A.2 正则表达式的例子

附录B 有用的工具
B.1 协助你审核GATC部署的工具
B.2 浏览器附加组件
B.3 GATC插件
B.4 桌面辅助应用程序

附录C 推荐阅读
C.1 网站分析及相关领域的书籍
C.2 网络资源
C.3 网站分析博客

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2种选择
欣叶 御大福 芋头麻薯 180g

周销量 600+

$1.66 $1.99 83折
Yami
欣葉
2种选择
欣叶 御大福 芋头麻薯 180g

周销量 600+

$1.66 $1.99 83折
Yami
欣葉
2种选择
欣叶 御大福 芋头麻薯 180g

周销量 600+

$1.66 $1.99 83折
Yami
欣葉
2种选择
欣叶 御大福 芋头麻薯 180g

周销量 600+

$1.66 $1.99 83折

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