分析差异

分析的概念似乎很简单：某一操作发生了多少次？实际上，许多因素（如不同浏览器如何定义每个操作、客户的隐私设置，甚至是客户的 Internet 连接）都可能使获得准确数字变得困难。

本页相关主题

• Shopify 与其他软件之间的差异

• 访客数量差异

Shopify 与其他软件之间的差异

有时，您会看到 Shopify 分析和第三方跟踪服务（例如 Google Analytics）之间的结果不同。

可能有许多原因导致跟踪结果存在差异：

• 页面重新加载次数和独立访客数量的计算结果之间的差异。Google 会计算每个页面的重新加载字数，但浏览器不会计算缓存页面的重新加载次数。

• 流量定义方式的差异。例如，某些分析软件会将搜索机器人视为访客，而其他软件不会。

• Google 只会对启用了 JavaScript 和 Cookie 的访客计数。某些访客可能不允许 Cookie 或 JavaScript。

• 客户可以使用浏览器扩展来阻止 Google Analytics 跟踪他们的流量和购买。

• 由于报告时区不同，可能会出现差异。在此处阅读有关更改 Google 时区的信息。

• 每种服务都不太可能使用相同的跟踪机制，因此不会同等记录您的访客。记录机制的详细信息是专有信息，不会进行共享。

访客数量差异

某些报告包含一个 Visitors 列，显示了与特定动作或特征相关联的不同人员的数量。给出的总数为近似值。

某些报告（如按时间段显示访客数）可以在多个行中将客户计为访客。例如，客户可能通过社交媒体访问您的商店，并在几天后直接访问。这会导致 Direct 行和 Social 行都显示值 1。由于这两个访客数量均来自同一人，因此访客总值也显示为 1，而不是计算它们的总和 2。相比之下，Sessions 列会显示该网站被访问了两次。

其他报告则会将访问次数相加，以便在报告中显示总数近似值。在其他报告中使用这些报告的总数时，得到的总数可能高于或低于各行相加的总和。

Shopify商户官网原文详情：

Analytics discrepancies

The concept of analytics seems simple: how many times did a certain action take place? In reality, there are many factors, such as how different browsers define each action, the customer's privacy settings, and even the customer's internet connection, that can make reaching an accurate number difficult.

On this page

• Discrepancies between Shopify and other software

• Visitor number discrepancies

Discrepancies between Shopify and other software

You sometimes see different results between Shopify analytics and third-party tracking services such as Google Analytics.

There are many possible reasons for differences in tracking results:

• Differences in how page reloads and unique visitors are counted. Google counts every page reload, but a browser doesn't count reloads of cached pages.

• Differences in how sessions are defined. For example, some analytics software counts search bots as visitors, while other software doesn’t.

• Google can only count visitors with JavaScript and cookies enabled. Some visitors might not allow cookies or JavaScript.

• Customers can use browser extensions to block Google Analytics from tracking their sessions and purchases.

• Discrepancies might be introduced because of different reporting time zones. Read about changing your Google time zone here.

• It’s unlikely that identical tracking mechanisms are being used by each of the services, so your visitors aren't recorded equally. Details of recording mechanisms are proprietary information and are never shared.

Visitor number discrepancies

Some reports include a Visitors column to show how many unique people are connected to a particular action or trait. The total given is an approximation.

Some reports, such as Sessions over time, can have a customer counted as a visitor for multiple rows. For example, a customer might reach your store through social media, and then visit it directly a few days later. This results in both the Direct and Social rows showing a value of 1. Because both visitor numbers came from a single person, the total visitors value is also shown as 1 instead of adding them together for 2. In contrast, the Sessions column shows that the website was visited twice.

Other reports do add up the visitors so that an approximated total can be shown in the report. When the totals of these reports are used in other reports, the resulting total can be higher or lower than the addition of the individual rows.

文章内容来源：Shopify商户官方网站