谷歌云請更正這張卡片的信息

Have you ever noticed the (not set) value instead of actual value in Google Analytics? This means that Google Analytics doesn’t have data on this value or can’t interpret it. It’s obvious that this value is a fly in the ointment for you as a marketing specialist. You have numbers, but it’s not clear what they mean and how you can use them in your data analysis.

您是否曾經在Google Analytics(分析)中注意到(未設置)值而不是實際值？ 這意味著Google Analytics(分析)沒有該值的數據或無法解釋該數據。 顯然，對于您作為營銷專家而言，這種價值是美中不足。 您有數字，但不清楚它們的含義以及如何在數據分析中使用它們。

Additionally, getting a (not set) value in a number of standard Google Analytics reports is a warning sign of some error in how analytics is implemented on your site. It’s especially important to observe this value when setting up analytics for the first time and when adding new functionality.

此外，在許多標準Google Analytics(分析)報告中獲得(未設置)值是一個警告信號，表明在您的網站上實施分析的方式存在一些錯誤。 首次設置分析和添加新功能時，請務必遵守此值。

受眾群體報告 (Audience reports)

地理和移動報告組 (Geo and Mobile report groups)

Google Analytics gets the data for these reports automatically with the help of cookies, ad identifiers for mobile devices, and so on.

Google Analytics(分析)借助Cookie，移動設備的廣告標識符等自動獲取這些報告的數據。

You may find the (not set) value in the Geo — Language report. For example, Google Analytics couldn’t define the language for 1.24% of website visitors in the report shown in this screenshot:

您可能會在“地理位置-語言”報告中找到(未設置)值。 例如，在此屏幕快照所示的報告中，Google Analytics(分析)無法為1.24％的網站訪問者定義語言：

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The Geo — Location report is nearly the same:

地理位置-位置報告幾乎相同：

Image courtesy of the author圖片由作者提供

The Mobile — Devices report shows us that 3% of visitors’ devices weren’t identified:

移動設備報告顯示了3％的訪客設備未被識別：

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Generally, you can expect to find the (not set) value for 1% of visitors at a minimum. This value is displayed for various reasons which, unfortunately, we can’t influence:

通常，您可以期望找到至少1％的訪問者的(未設置)值。 出于各種原因顯示此值，不幸的是，我們無法影響：

• Deleted cookies
  刪除的Cookie
• JavaScript disabled in the user’s browser
  在用戶瀏覽器中禁用了JavaScript
• Couldn’t detect the location based on IP or couldn’t detect the IP at all
  無法檢測到基于IP的位置，或者根本無法檢測到IP
• Variety of blockers (AdBlocker, etc.)
  各種攔截器(AdBlocker等)

技術報告組 (The Technology report group)

Here’s one more interesting report: Technology — Browser & OS. Each time a visitor enters the website, their browser sends a string with the User Agent. This string contains information about the platform sending the request, including data on the browser. GA receives this information, but sometimes it may be unavailable. As a result, we get the (not set) value in the report:

這是另一個有趣的報告：技術-瀏覽器和操作系統。 每次訪問者進入網站時，他們的瀏覽器都會向用戶代理發送一個字符串。 該字符串包含有關發送請求的平臺的信息，包括瀏覽器上的數據。 GA會收到此信息，但有時可能不可用。 結果，我們在報告中獲得(未設置)值：

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If the number of unique visitors with (not set) values is less than 5% in a report, that’s considered normal. If it’s higher, you should check your traffic — maybe it’s caused by spambots. They can send GA any fake hits with the help of the Measurement Protocol. To do this, it’s enough for them to know your Google Analytics Resource ID.

如果報表中具有(未設置)值的唯一身份訪問者人數少于5％，則認為這是正常現象。 如果流量較高，則應檢查流量-可能是由垃圾郵件引起的。 他們可以借助Measurement Protocol將GA的任何虛假匹配項發送給GA。 為此，他們足以知道您的Google Analytics(分析)資源ID。

There are two types of spambots. The first visits your website and generates false traffic. These bots can send HTTP requests with fake referrer titles to mask themselves. They can even use the name of another popular website in the URL for this purpose. And thanks to their ability to execute JavaScript code, they can’t be filtered as bots by GA.

水龍頭有兩種類型。 第一次訪問您的網站并產生虛假流量。 這些漫游器可以發送帶有虛假引薦來源標題的HTTP請求來掩蓋自己。 他們甚至可以為此目的在URL中使用另一個受歡迎的網站的名稱。 而且由于它們具有執行JavaScript代碼的能力，因此GA無法將它們過濾為機器人。

Spambots of the second type send fake hits without visiting your website. This spam is called ghost spam.

第二種垃圾郵件發送者不會訪問您的網站而發送假冒的點擊。 該垃圾郵件稱為“鬼垃圾郵件”。

In our example, up to 14.95% of visitors’ browsers were undefined. And the average session duration is nearly two minutes with transactions. To investigate this suspicious situation, we need to go deeper and open Acquisition — All Traffic — Referrals:

在我們的示例中，多達14.95％的訪問者瀏覽器未定義。 交易的平均會話持續時間將近兩分鐘。 要調查這種可疑情況，我們需要更深入，更開放地進行“獲取”“所有流量”“引薦”：

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Pay attention to sources of referrals where the bounce rate is close to 0% or 100% and the number of sessions exceeds 10. As we can see, this happens in strings 5 to 9. Most probably, these are bots. The second sign of spam is strange source names: iloveyou and ithinkaboutyou, in our example.

請注意引薦來源的跳出率接近0％或100％，并且會話數超過10。如我們所見，這發生在字符串5到9中。很可能是機器人。 垃圾郵件的第二個標志是奇怪的源名稱：在我們的示例中為iloveyou和ithinkaboutyou 。

Also, pay attention to visitors with the source name spamcampaign22 in string 8. They conducted 264 transactions — one per visitor. If we hadn’t manually placed this data in the property, our guess about spam traffic would be proven true.

另外，請注意字符串8中源名稱為spamcampaign22的訪客。他們進行了264筆交易-每個訪客一個。 如果我們沒有將這些數據手動放置在媒體資源中，那么我們對垃圾郵件流量的猜測將被證明是正確的。

Let’s add hostname as a secondary dimension:

讓我們添加主機名作為次級維度：

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In this case, our website is called example. com. Precisely this host needs to be in all rows of the report. But all suspicious referral sources have the value (not set), as we can see. We’ve finally found the ghost spam! In fact, Facebook and Instagram traffic is partially ghost spam too. This means these bots sent fake hits to GA and tried to make them as realistic as possible.

在這種情況下，我們的網站稱為示例。 com。 確切地說，此主機需要位于報表的所有行中。 但是，正如我們所看到的，所有可疑的引薦來源都具有該值(未設置)。 我們終于找到了垃圾郵件！ 實際上，Facebook和Instagram流量也部分是垃圾郵件。 這意味著這些漫游器向GA發送了虛假匹配，并試圖使其盡可能逼真。

If all bots were to also send a host value, as in string 9 of the report (hostname ghost), we’d never know that we had excessive data on visitors and referrals.

如果所有漫游器也都發送主機值，如報告的字符串9(主機名ghost )，我們將永遠不會知道訪問者和引薦的數據過多。

Ignoring (not set) in these reports leads to sales data corruption, sending fake transactions to the property. As a result, you’ll see events that aren’t in your specification and views of products that you’ve never sold.

在這些報告中忽略(未設置)會導致銷售數據損壞，將虛假交易發送到該物業。 結果，您將看到規格之外的事件以及從未出售過的產品的視圖。

If you’ve already set up data export from Google Analytics to Google BigQuery (either standard or with the help of OWOX BI Pipeline), this fake data will increase the weight of the database tables. Because of this, data processing will be slower and you’ll spend more on data storage and processing.

如果您已經設置了將數據從Google Analytics(分析)導出到Google BigQuery(無論是標準方法還是在OWOX BI Pipeline的幫助下)，那么這些虛假數據將增加數據庫表的權重。 因此，數據處理將變慢，您將在數據存儲和處理上花費更多。

如何擺脫垃圾郵件流量 (How to get rid of spam traffic)

First, you must exclude bot traffic. Open View settings and check the box Exclude all hits from known bots and spiders in the Bot filtering setting. This will exclude visible bots.

首先，您必須排除漫游器流量。 打開“ 查看設置”，然后選中“ 漫游器 過濾”設置中的排除來自已知漫游器和蜘蛛的所有匹配 。 這將排除可見的機器人。

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You can also apply the filter to referral sources. To do so, open View settings, go to the Filters submenu, then click Add filter. Now set the type of filter to Custom, check Exclude, and choose the Referral filter field. In the Filter template string, type the name of the suspicious source whose traffic you’d like to exclude from your reports.

您也可以將過濾器應用于引薦來源。 為此，請打開“ 查看設置” ，進入“ 過濾器”子菜單，然后單擊“ 添加過濾器” 。 現在將過濾器的類型設置為Custom ，選中Exclude ，然后選擇Referral filter字段。 在“ 過濾器模板”字符串中，輸入您要從報告中排除其流量的可疑來源的名稱。

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The limitation of this method is that we can’t exclude traffic from bots using URLs of real websites. Otherwise, legitimate traffic coming from those websites would be filtered too. In this case, we might try blocking based on IP address instead of the source. If you’ve set up a flow in OWOX BI Pipeline, then it’s not a big deal to get the IP addresses of bots. But if bots don’t visit the website, IP blocking will have no effect.

這種方法的局限性是我們不能使用真實網站的網址排除來自機器人的流量。 否則，來自那些網站的合法流量也將被過濾。 在這種情況下，我們可以嘗試基于IP地址而不是源進行阻止。 如果您已經在OWOX BI Pipeline中設置了流程，那么獲取機器人的IP地址就沒什么大不了的了。 但是，如果漫游器不訪問該網站，則IP阻止將無效。

To eliminate ghost spam, try the hostname filter. While setting up the filter, choose Include and then in the Filter Pattern field type your website’s domain name.

要消除虛假垃圾郵件，請嘗試使用主機名過濾器。 設置過濾器時，選擇包括 ，然后在過濾器模式字段中輸入您的網站的域名。

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流量來源報告 (Traffic Sources reports)

The Traffic Sources reports help you to estimate the efficiency of ad sources and channels. With the help of these reports, you can compare expenses and revenues for each campaign you’ve launched, analyze traffic quality, and increase sales as a result. If you see the value (not set) in these reports, you couldn’t define where to invest more, which campaigns need to be changed, and which campaigns should simply be ended.

流量來源報告可幫助您估算廣告來源和渠道的效率。 借助這些報告，您可以比較已啟動的每個廣告系列的費用和收入，分析流量質量并因此增加銷售額。 如果您在這些報告中看到該值(未設置)，則無法定義在何處進行更多投資，哪些廣告系列需要更改以及哪些廣告系列應僅終止。

If you don’t have trustworthy data, you can’t set the retargeting properly or choose the audience segment for a certain campaign. Obviously, untrustworthy data also can’t be applied for enhanced reports such as cohort analysis, income forecasting, and customer lifetime value (CLV).

如果您沒有可信賴的數據，則無法正確設置重定向目標或選擇特定廣告系列的細分受眾群。 顯然，不可信賴的數據也不能用于增強的報告，例如隊列分析，收入預測和客戶生命周期價值(CLV) 。

所有路況報告 (All Traffic reports)

Let’s look at some examples of All Traffic reports. Let’s assume that you’d like to know what channel gives you the newest visitors. To find out, let’s open the All traffic — Channels report and choose the channel as the main parameter. We can observe the value (not set) for 7.19% of new visitors in string 4. But which particular channel or channels are hiding in this string is unclear.

讓我們看看“所有點擊量”報告的一些示例。 假設您想知道哪個頻道為您提供了最新的訪問者。 為了找出答案，我們打開“所有流量-渠道”報告，然后選擇渠道作為主要參數。 我們可以在字符串4中觀察到7.19％的新訪問者的值(未設置)，但是尚不清楚該字符串中隱藏了哪個特定頻道。

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In the All Traffic — Source/Medium report you can see a similar situation:

在“所有流量-來源/媒介”報告中，您可以看到類似的情況：

Image courtesy of the author圖片由作者提供

Why does this report display the (not set) value? Because part of the channels and sources are automatically identified by Google Analytics: organic search, referrals from other websites, direct traffic. But for a special campaign or ad services you need UTM tagging. Problems appear if UTM tags contain errors.

為什么此報告顯示(未設置)值？ 由于Google Analytics(分析)會自動識別部分渠道和來源：自然搜索，來自其他網站的引薦， 直接流量 。 但是，對于特殊的廣告系列或廣告服務，您需要使用UTM標簽。 如果UTM標簽包含錯誤，則會出現問題。

UTM tags are code fragments included in the URL from the ad message and that lead to the target website. Here’s an example:

UTM標簽是廣告消息的URL中包含的代碼段，這些代碼段通向目標網站。 這是一個例子：

site.com/? utm_source=google&utm_medium=cpc&utm_campaign=test

site.com/？ utm_source = google＆utm_medium = cpc＆utm_campaign = test

There are three obligatory UTM parameters: utm_source, utm_medium, and utm_campaign. There are also two optional parameters: utm_term and utm_content. The values of these parameters can be google, cpc, or test.

有三個強制性的UTM參數：utm_source，utm_medium和utm_campaign。 還有兩個可選參數：utm_term和utm_content。 這些參數的值可以是google，cpc或test。

Typical errors in UTM codes leading to (not set) in reports include:

導致(未設置)報告的UTM代碼中的典型錯誤包括：

• A misspelled parameter.
  參數拼寫錯誤。
• No equals sign between a parameter and its value.
  參數及其值之間沒有等號。
• Pairs of parameters and values not being separated by an ampersand (&).
  成對的參數和值不以“＆”號分隔。
• Other syntax errors: duplicate question marks, etc.
  其他語法錯誤：重復的問號等。

To avoid these mistakes, use specialized URL creation tools to help yourself with URL tagging.

為避免這些錯誤，請使用專門的URL創建工具來幫助自己進行URL標記。

廣告活動報告 (Campaign reports)

In the Campaign — Organic keywords report you may see two kinds of interesting values: (not set) and (not provided).

在廣告系列-自然關鍵字報告中，您可能會看到兩種有趣的值：(未設置)和(未提供)。

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The (not set) value means that Google Analytics couldn’t define exactly which request brought organic traffic to your website. This may be caused by:

(未設置)值表示Google Analytics(分析)無法準確定義哪個請求為您的網站帶來了自然流量。 這可能是由于：

• A few old search systems that don’t send information on keywords
  一些舊的搜索系統無法發送有關關鍵字的信息
• Forgetting to set the keyword in a campaign with manual UTM tagging
  忘記在帶有手動UTM標記的廣告系列中設置關鍵字
• Traffic from links in emails
  來自電子郵件鏈接的流量

The (not provided) value is generally more common in this report. It means that a visitor has searched with the help of the HTTPS protocol. Google must hide keyword information in this case according to its privacy policy.

(未提供)值通常在此報告中更常見。 這意味著訪問者已經借??助HTTPS協議進行了搜索。 在這種情況下，Google必須根據其隱私權政策隱藏關鍵字信息。

Google Ads報告 (Google Ads reports)

This group of reports will help you to estimate the efficiency of your ads in the Google Display Network and let you know what users do after clicking on ads. The (not set) value helps you optimize expenses on paid traffic.

這組報告將幫助您估算廣告在Google展示廣告網絡中的效率，并讓您知道用戶點擊廣告后的行為。 (未設置)值可幫助您優化付費流量的費用。

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Google Ads報告中的一個(未設置)值可能是由以下原因引起的 (A (not set) value in the Google Ads reports can be caused by a few things)

1. Improper integration of Google Ads and Google Analytics (Check that you’ve connected the right views in GA and accounts in Ads.)

1. Google Ads和Google Analytics ( 分析)集成不當(請檢查您是否已關聯Google Analytics ( 分析)中的正確視圖和Ads中的帳戶。)

2. The auto-tagging in Google Ads being turned off. When a visitor clicks on an ad message, the Google Click Identifier (GCI) value is added to the target URL. It’s saved in a new Google Analytics cookies file on the website’s domain. Thanks to this functionality, we can see the data on campaigns and expenses from Google Ads in Google Analytics reports.

2. Google Ads的自動標記功能已關閉 。 訪客點擊廣告消息時，會將Google點擊標識符(GCI)值添加到目標URL。 它已保存在網站域上的新Google Analytics(分析)Cookie文件中。 借助此功能，我們可以在Google Analytics(分析)報告中查看來自Google Ads的廣告系列數據和費用。

If automatic tagging isn’t available for your website, you can tag links manually. To do that, open the Google Analytics resource preferences and check the box Allow manual tagging.

如果您的網站無法使用自動標記，則可以手動標記鏈接。 為此，請打開Goog??le Analytics(分析)資源偏好設置，然后選中允許手動標記框。

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3. Using both manual and automatic tagging at the same time.

3.同時使用手動和自動標記。

4. Void clicks. Google Ads understands these as clicks made by bots or malware, or double or triple clicks with no use for the advertiser. You can find more information on void clicks and what to do with them in the Google Help Center.

4.無效點擊。 Google Ads會將其理解為機器人或惡意軟件所進行的點擊，或雙擊或三次單擊而無須廣告客戶。 您可以在Google幫助中心中找到有關無效點擊以及如何處理的更多信息。

5. Redirects. While redirecting from one URL to another, gclid might get lost. As a result, you’ll see (not set). You can detect and fix this problem with Chrome Developer Tools. Read more in the Google Analytics Help Center.

5.重定向。 從一個URL重定向到另一個URL時， gclid可能會丟失。 結果，您將看到(未設置)。 您可以使用Chrome開發者工具檢測并解決此問題。 在Google Analytics(分析)幫助中心中了解更多信息。

6. Syntax and gclid problems, for example, if the register changes in the URL, or if your website cuts the gclid parameter because it has more than 100 symbols, or if your website settings forbid processing of the request that’s needed for properly processing tags. You may resolve this problem by making sure that all scripts run correctly.

6.語法和gclid問題，例如，如果寄存器中的URL發生了更改，或者您的網站因為有超過100個符號而削減了gclid參數，或者您的網站設置禁止處理正確處理標簽所需的請求。 您可以通過確保所有腳本正確運行來解決此問題。

行為報告 (Behavior reports)

You may find the (not set) value in the Site Content — Landing Pages report:

您可能會在“網站內容-著陸頁”報告中找到(未設置)值：

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This report shows from which pages visitors start their sessions. The landing page is the page where new visitors get acquainted with your website. Check the bounce rate here. The bounce rate is the percentage of visitors who leave without taking any actions on the page.

該報告顯示訪問者從哪些頁面開始其會話。 到達頁面是新訪客熟悉您的網站的頁面。 在此處檢查跳出率。 跳出率是未采取任何措施就離開的訪客所占的百分比。

If you have no data in this report, you can’t define which pages need improvement on the basis of high bounce rates.

如果此報告中沒有數據，則無法基于高跳出率來定義哪些頁面需要改進。

You may also find the (not set) value in the other report in the Site Content reports group if you choose the main dimension, Content Grouping:

如果選擇主要維度“內容分組”，您也可能會在“網站內容”報告組的另一個報告中找到(未設置)值：

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You can divide the content of your website into logical groups, such as Brands or Product categories to compare their efficiency in one report. Obviously, if you find (not set) in place of category names, the comparison will be pointless.

您可以將網站內容分為邏輯組，例如品牌或產品類別，以在一個報告中比較其效率。 顯然，如果找到(未設置)類別名稱，則比較將毫無意義。

在“行為”報告中，(如果未設置)可能會出現 (In the Behavior reports, (not set) may appear if)

1. The session ended at midnight or after 30 minutes of visitor standby. Any actions completed after these 30 minutes will be marked as a new session. If this action is the only hit in the session, the landing page value will be (not set).

1.會議在午夜或訪客待機30分鐘后結束。 在這30分鐘之后完成的所有操作都將被標記為新會話。 如果此操作是會話中唯一的點擊，則著陸頁值將為(未設置)。

2. A session has no page or screen views. This may happen if you set a filter deleting specific page views or screen and page tracking settings are wrong. Check the Google Help Center to clear this up.

2.會話沒有頁面或屏幕視圖。 如果您設置了刪除特定頁面視圖的過濾器，或者屏幕和頁面跟蹤設置錯誤，則可能會發生這種情況。 檢查Google幫助中心以清除此問題。

3. You’ve used two tracking codes at a time (analytics. js and gtag. js), in which case hits in the framework of one session will not be linked. You should use one code. Google Analytics recommends using gtag. js.

3.您一次使用了兩個跟蹤代碼(analytics.js和gtag.js)，在這種情況下，一次會話框架內的匹配不會鏈接。 您應該使用一個代碼。 Google Analytics(分析)建議使用gtag。 js 。

4. If the (not set) value appears in content grouping reports, it may be caused by a <title> tag in the header of your page that’s created with errors or not created at all. To know which pages cause the problem, use the additional page parameter. Maybe your GA tracking code is launching before the <title> tag. In this case, switch the order.

4.如果(未設置)值出現在內容分組報告中，則可能是由頁面標題中的<title>標記引起的，該標記創建時帶有錯誤或根本沒有創建。 要知道哪些頁面導致了問題，請使用附加頁面參數。 也許您的GA跟蹤代碼正在<title>標記之前啟動。 在這種情況下，請切換順序。

轉化報告 (Conversions reports)

These reports help to track conversions on your website and analyze buyers’ behavior. They contain useful information on transactions, products, goals, and more.

這些報告有助于跟蹤您網站上的轉化并分析買家的行為。 它們包含有關交易，產品，目標等的有用信息。

電子商務報告組 (E-commerce reports group)

The (not set) value in the E-commerce — Product List Performance report makes it impossible to know which products are the most popular, which lists should be moved or need improvement, and which should be deleted from this website section.

“電子商務-產品列表效果”報告中的(未設置)值使您無法知道哪些產品最受歡迎，哪些列表應該移動或需要改進，哪些應該從此網站部分中刪除。

Image courtesy of the author圖片由作者提供

Without accurate data, you can’t personalize campaigns for audience segments. For example, you can’t set the discount block on the product card, then separate a segment with those visitors who looked at discounts while buying other products and send them an email with special offers.

沒有準確的數據，您將無法針對細分受眾群個性化廣告系列。 例如，您不能在產品卡上設置折扣塊，然后將細分與那些在購買其他產品時看到折扣的訪問者分開，然后向他們發送包含特殊優惠的電子郵件。

Let’s take a closer look at another example. Let’s say that you’ve launched an internal promotion on your website to create a segment that’s interested in your campaign to send emails with personal offers. If you open E-commerce — Marketing — Internal Promotion and see the (not set) value, this means part of your audience isn’t defined. As a result, you lose the opportunity to add these users to your segment and earn more.

讓我們仔細看看另一個例子。 假設您已經在網站上啟動了內部促銷活動，以創建一個對廣告系列感興趣的細分，以發送包含個人優惠的電子郵件。 如果您打開“電子商務”“市場營銷”“內部促銷”并看到(未設置)值，則意味著未定義部分受眾。 結果，您失去了將這些用戶添加到細分受眾群并獲得更多收入的機會。

Image courtesy of the author圖片由作者提供

Typically, the (not set) value appears in e-commerce reports because the enhanced e-commerce tracking code is missing the values for separate parameters: product list, order coupon, product coupon, etc. To resolve this, you need to set enhanced e-commerce correctly to send values of the necessary parameter along with hits to Google Analytics.

通常，(未設置)值會出現在電子商務報告中，因為增強型電子商務跟蹤代碼缺少單獨參數的值：產品列表，訂單優惠券，產品優惠券等。要解決此問題，您需要設置增強型正確進行電子商務，以將必要參數的值以及匹配數據發送到Google Analytics(分析)。

目標報告 (Goals reports)

The Goals — Reverse Goal Path report shows on which page a visitor achieved their goal and the three pages they visited before that.

“目標-反向目標路徑”報告顯示訪問者實現目標的頁面以及在此之前訪問的三頁。

Image courtesy of the author圖片由作者提供

The (not set) value will always be present in this report because a visitor can achieve their goal in fewer than three steps. If a visitor enters the website and registers right off the bat, steps 2 and 3 will be (not set), as in string 2 in the screenshot above.

(未設置)值將始終存在于此報告中，因為訪問者可以通過少于三個步驟來實現其目標。 如果訪客進入網站并立即進行注冊，則將設置(未設置)步驟2和3，如上面屏幕快照中的字符串2所示。

結論 (Conclusion)

The (not set) value can be found in most Google Analytics reports. It indicates that the system either doesn’t have data or doesn’t recognize it. This happens for various reasons. Some of them we can resolve, some of them we can’t, but we can take this into account when analyzing data.

在大多數Google Analytics(分析)報告中都可以找到(未設置)值。 它表明系統沒有數據或無法識別它。 發生這種情況的原因有很多。 其中一些我們可以解決，有些我們無法解決，但是我們在分析數據時可以考慮到這一點。

If you ignore the (not set) values in your reports, it’ll be costly for your business. Who likes to invest money in inefficient measures? Data corruption leads to misinterpreting reports and shaky decisions.

如果您忽略報告中的(未設置)值，則對您的業務而言將是昂貴的。 誰喜歡在低效措施上投資？ 數據損壞會導致對報告的誤解和不穩定的決策。

翻譯自: https://towardsdatascience.com/how-to-recognize-and-correct-the-not-set-value-in-google-analytics-reports-1441ff26cd2f

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總結

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