A-Fu Design

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Google Analytics 4 (GA4) is the latest version of Google’s analytics platform, designed to help you better understand and optimize your website’s SEO performance. GA4 has been designed to make it easier for businesses to track and optimize their SEO performance, by providing more comprehensive data than ever before.

In this article, we’ll be exploring how you can use GA4 to improve your SEO performance. We’ll look at the benefits of using GA4 for SEO, how to set it up, and the advanced tactics you can use to get the most out of it. So, let’s get started.

Introduction to Google Analytics 4

Google Analytics 4 (GA4) is the latest version of the Google Analytics platform. It’s designed to help businesses better understand and optimize their SEO performance, by providing them with more comprehensive data than ever before.

GA4 is built on the same platform as Google Analytics, but it offers a range of new features, including improved data collection, more detailed reports, and better insights into customer behavior. It also allows businesses to track their SEO performance across multiple devices and channels, as well as track conversions.

GA4 is designed to be easier to use than previous versions of Google Analytics, making it easier for businesses to understand and optimize their SEO performance.

Benefits of using GA4 for SEO

There are a number of benefits to using GA4 for SEO, including improved data collection, more detailed reports, and better insights into customer behavior.

For starters, GA4’s improved data collection capabilities allow businesses to track their SEO performance across multiple devices and channels. This means that businesses can gain a better understanding of how their SEO efforts are performing, and make adjustments accordingly.

GA4 also provides businesses with more detailed reports, allowing them to easily track their SEO performance over time. This makes it easier to spot trends, such as changes in traffic or conversions, and make the necessary adjustments.

Finally, GA4 offers businesses better insights into customer behavior. This allows businesses to better understand how customers interact with their website, and make the necessary changes to improve the user experience and optimize their SEO performance.

Setting up GA4

Setting up GA4 is relatively straightforward. All you need to do is sign up for a Google Analytics account and create your GA4 property. Then, you’ll be able to install the tracking code on your website so that GA4 can start collecting data.

Once you’ve set up GA4, you’ll be able to start tracking your SEO performance. This includes tracking traffic, conversions, and more. You’ll also be able to create custom reports and track specific SEO metrics, such as organic search traffic and keyword rankings.

Analyzing data in GA4

Once you’ve set up GA4 and started collecting data, you’ll be able to analyze the data to gain insights into your SEO performance. GA4 offers businesses a range of data analysis tools, including custom reports, dashboards, and data visualizations.

Using these tools, businesses can gain detailed insights into their SEO performance, such as which keywords are driving traffic, which pages are performing best, and where their visitors are coming from. This data can then be used to identify areas for improvement and optimize their SEO performance.

Optimizing SEO with GA4

Once you’ve analyzed the data in GA4, you’ll be able to start optimizing your SEO performance. GA4 offers a range of optimization tools, such as A/B testing and remarketing campaigns.

Using A/B testing, businesses can test different versions of their website to determine which version performs best. This allows businesses to identify areas for improvement and make the necessary changes to optimize their SEO performance.

Remarketing campaigns allow businesses to target visitors who have already visited their website, and provide them with personalized content and offers. This can help businesses increase their conversion rate and optimize their SEO performance.

Google Analytics 4 SEO metrics

In order to optimize your SEO performance with GA4, you’ll need to track a range of SEO metrics. Some of the most important SEO metrics to track in GA4 include:

Organic search traffic
Keyword rankings
Site speed
Backlinks
Bounce rate
Average time on page
Conversions

Tracking these metrics in GA4 will help you gain insights into your SEO performance, and make the necessary changes to optimize it.

Best Google Analytics 4 SEO practices

Once you’ve set up GA4 and started tracking your SEO performance, there are a number of best practices you should follow to get the most out of it.

First, it’s important to keep your data up to date. This means regularly checking your GA4 dashboard and making sure all of your data is accurate. This will ensure that your SEO performance is being accurately tracked and optimized.

Second, you should focus on tracking the most important SEO metrics, such as organic search traffic and keyword rankings. This will help you gain insights into your SEO performance and make the necessary changes to optimize it.

Finally, you should track your SEO performance over time. This will help you spot trends in your SEO performance, and make the necessary adjustments to optimize it.

Advanced SEO tactics with GA4

In addition to tracking and optimizing your SEO performance with GA4, there are a number of advanced SEO tactics you can use to get the most out of it.

For starters, you can use GA4 to track the performance of your content marketing efforts. This will help you identify which content is performing best, and make the necessary changes to improve your SEO performance.

You can also use GA4 to track the performance of your link building campaigns. This will help you identify which links are providing the most value, and make the necessary changes to optimize your SEO performance.

Finally, you can use GA4 to track the performance of your technical SEO efforts. This will help you identify any issues with your website’s structure or code, and make the necessary changes to improve your SEO performance.

Tips for improving SEO with GA4

Now that you know how to use GA4 to optimize your SEO performance, here are a few tips for improving it:

Track the most important SEO metrics, such as organic search traffic, keyword rankings, and conversions.
Track your SEO performance over time to spot trends and make the necessary adjustments.
Use advanced SEO tactics, such as content marketing and link building, to optimize your SEO performance.
Make sure to keep your data up to date to ensure accurate tracking and optimization.
Focus on improving the user experience to optimize your SEO performance.

By following these tips, you’ll be able to get the most out of GA4 and optimize your SEO performance.

Conclusion

Google Analytics 4 (GA4) is a powerful tool for tracking and optimizing your SEO performance. It offers businesses improved data collection, more detailed reports, and better insights into customer behavior.

By setting up GA4 and tracking the most important SEO metrics, businesses can gain detailed insights into their SEO performance, and make the necessary changes to optimize it. Additionally, businesses can use advanced SEO tactics, such as content marketing and link building, to further optimize their SEO performance.

By following the tips outlined in this article, businesses can get the most out of GA4 and optimize their SEO performance.

No 意見

ClickHouse是一個用於分析(OLAP)的列式資料庫管理系統(DBMS)。

ClickHouse 列式資料庫管理系統

DEB 安裝

1.首先安裝三個軟體。用於驗證和導入 list

sudo apt-get install apt-transport-https ca-certificates dirmngr

2.接下來，我們將導入PGP簽名密鑰以驗證已安裝的軟體包。

sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv E0C56BD4

3.將 clickhouse 的來源寫入到伺服器的列表當中。

如果想使用最新的版本，可以使用 testing 取代掉 stable (testing 只推薦使用於測試環境)。

echo "deb https://repo.clickhouse.com/deb/stable/ main/" | sudo tee \
    /etc/apt/sources.list.d/clickhouse.list

4.更新列表的來源內容

sudo apt-get update

5.安裝 clickhouse 伺服器與用戶端

sudo apt-get install -y clickhouse-server clickhouse-client

6.啟動伺服器

sudo service clickhouse-server start

7.可以開始使用 clickhouse 了

clickhouse-client

deb 各版本的手動下載包連結
https://repo.clickhouse.com/deb/stable/main/

預設用於本機端地連線，如需要外部連線需要設定

設定檔位置

/etc/clickhouse-server/config.xml

新增或修改允許所有 HOST 連線

<listen_host>::</listen_host>

重新啟動 clickhouse

sudo service clickhouse-server restart

基本的資料導入建立說明

下載測試資料，檔案大約1G。

curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv

建立資料庫

clickhouse-client --query "CREATE DATABASE IF NOT EXISTS tutorial"

如有建立密碼請加入參數

clickhouse-client --query "CREATE DATABASE IF NOT EXISTS tutorial" --password=我的密碼

建立兩張表

CREATE TABLE tutorial.hits_v1
(
    `WatchID` UInt64,
    `JavaEnable` UInt8,
    `Title` String,
    `GoodEvent` Int16,
    `EventTime` DateTime,
    `EventDate` Date,
    `CounterID` UInt32,
    `ClientIP` UInt32,
    `ClientIP6` FixedString(16),
    `RegionID` UInt32,
    `UserID` UInt64,
    `CounterClass` Int8,
    `OS` UInt8,
    `UserAgent` UInt8,
    `URL` String,
    `Referer` String,
    `URLDomain` String,
    `RefererDomain` String,
    `Refresh` UInt8,
    `IsRobot` UInt8,
    `RefererCategories` Array(UInt16),
    `URLCategories` Array(UInt16),
    `URLRegions` Array(UInt32),
    `RefererRegions` Array(UInt32),
    `ResolutionWidth` UInt16,
    `ResolutionHeight` UInt16,
    `ResolutionDepth` UInt8,
    `FlashMajor` UInt8,
    `FlashMinor` UInt8,
    `FlashMinor2` String,
    `NetMajor` UInt8,
    `NetMinor` UInt8,
    `UserAgentMajor` UInt16,
    `UserAgentMinor` FixedString(2),
    `CookieEnable` UInt8,
    `JavascriptEnable` UInt8,
    `IsMobile` UInt8,
    `MobilePhone` UInt8,
    `MobilePhoneModel` String,
    `Params` String,
    `IPNetworkID` UInt32,
    `TraficSourceID` Int8,
    `SearchEngineID` UInt16,
    `SearchPhrase` String,
    `AdvEngineID` UInt8,
    `IsArtifical` UInt8,
    `WindowClientWidth` UInt16,
    `WindowClientHeight` UInt16,
    `ClientTimeZone` Int16,
    `ClientEventTime` DateTime,
    `SilverlightVersion1` UInt8,
    `SilverlightVersion2` UInt8,
    `SilverlightVersion3` UInt32,
    `SilverlightVersion4` UInt16,
    `PageCharset` String,
    `CodeVersion` UInt32,
    `IsLink` UInt8,
    `IsDownload` UInt8,
    `IsNotBounce` UInt8,
    `FUniqID` UInt64,
    `HID` UInt32,
    `IsOldCounter` UInt8,
    `IsEvent` UInt8,
    `IsParameter` UInt8,
    `DontCountHits` UInt8,
    `WithHash` UInt8,
    `HitColor` FixedString(1),
    `UTCEventTime` DateTime,
    `Age` UInt8,
    `Sex` UInt8,
    `Income` UInt8,
    `Interests` UInt16,
    `Robotness` UInt8,
    `GeneralInterests` Array(UInt16),
    `RemoteIP` UInt32,
    `RemoteIP6` FixedString(16),
    `WindowName` Int32,
    `OpenerName` Int32,
    `HistoryLength` Int16,
    `BrowserLanguage` FixedString(2),
    `BrowserCountry` FixedString(2),
    `SocialNetwork` String,
    `SocialAction` String,
    `HTTPError` UInt16,
    `SendTiming` Int32,
    `DNSTiming` Int32,
    `ConnectTiming` Int32,
    `ResponseStartTiming` Int32,
    `ResponseEndTiming` Int32,
    `FetchTiming` Int32,
    `RedirectTiming` Int32,
    `DOMInteractiveTiming` Int32,
    `DOMContentLoadedTiming` Int32,
    `DOMCompleteTiming` Int32,
    `LoadEventStartTiming` Int32,
    `LoadEventEndTiming` Int32,
    `NSToDOMContentLoadedTiming` Int32,
    `FirstPaintTiming` Int32,
    `RedirectCount` Int8,
    `SocialSourceNetworkID` UInt8,
    `SocialSourcePage` String,
    `ParamPrice` Int64,
    `ParamOrderID` String,
    `ParamCurrency` FixedString(3),
    `ParamCurrencyID` UInt16,
    `GoalsReached` Array(UInt32),
    `OpenstatServiceName` String,
    `OpenstatCampaignID` String,
    `OpenstatAdID` String,
    `OpenstatSourceID` String,
    `UTMSource` String,
    `UTMMedium` String,
    `UTMCampaign` String,
    `UTMContent` String,
    `UTMTerm` String,
    `FromTag` String,
    `HasGCLID` UInt8,
    `RefererHash` UInt64,
    `URLHash` UInt64,
    `CLID` UInt32,
    `YCLID` UInt64,
    `ShareService` String,
    `ShareURL` String,
    `ShareTitle` String,
    `ParsedParams` Nested(
        Key1 String,
        Key2 String,
        Key3 String,
        Key4 String,
        Key5 String,
        ValueDouble Float64),
    `IslandID` FixedString(16),
    `RequestNum` UInt32,
    `RequestTry` UInt8
)
ENGINE = MergeTree()
PARTITION BY toYYYYMM(EventDate)
ORDER BY (CounterID, EventDate, intHash32(UserID))
SAMPLE BY intHash32(UserID)

CREATE TABLE tutorial.visits_v1
(
    `CounterID` UInt32,
    `StartDate` Date,
    `Sign` Int8,
    `IsNew` UInt8,
    `VisitID` UInt64,
    `UserID` UInt64,
    `StartTime` DateTime,
    `Duration` UInt32,
    `UTCStartTime` DateTime,
    `PageViews` Int32,
    `Hits` Int32,
    `IsBounce` UInt8,
    `Referer` String,
    `StartURL` String,
    `RefererDomain` String,
    `StartURLDomain` String,
    `EndURL` String,
    `LinkURL` String,
    `IsDownload` UInt8,
    `TraficSourceID` Int8,
    `SearchEngineID` UInt16,
    `SearchPhrase` String,
    `AdvEngineID` UInt8,
    `PlaceID` Int32,
    `RefererCategories` Array(UInt16),
    `URLCategories` Array(UInt16),
    `URLRegions` Array(UInt32),
    `RefererRegions` Array(UInt32),
    `IsYandex` UInt8,
    `GoalReachesDepth` Int32,
    `GoalReachesURL` Int32,
    `GoalReachesAny` Int32,
    `SocialSourceNetworkID` UInt8,
    `SocialSourcePage` String,
    `MobilePhoneModel` String,
    `ClientEventTime` DateTime,
    `RegionID` UInt32,
    `ClientIP` UInt32,
    `ClientIP6` FixedString(16),
    `RemoteIP` UInt32,
    `RemoteIP6` FixedString(16),
    `IPNetworkID` UInt32,
    `SilverlightVersion3` UInt32,
    `CodeVersion` UInt32,
    `ResolutionWidth` UInt16,
    `ResolutionHeight` UInt16,
    `UserAgentMajor` UInt16,
    `UserAgentMinor` UInt16,
    `WindowClientWidth` UInt16,
    `WindowClientHeight` UInt16,
    `SilverlightVersion2` UInt8,
    `SilverlightVersion4` UInt16,
    `FlashVersion3` UInt16,
    `FlashVersion4` UInt16,
    `ClientTimeZone` Int16,
    `OS` UInt8,
    `UserAgent` UInt8,
    `ResolutionDepth` UInt8,
    `FlashMajor` UInt8,
    `FlashMinor` UInt8,
    `NetMajor` UInt8,
    `NetMinor` UInt8,
    `MobilePhone` UInt8,
    `SilverlightVersion1` UInt8,
    `Age` UInt8,
    `Sex` UInt8,
    `Income` UInt8,
    `JavaEnable` UInt8,
    `CookieEnable` UInt8,
    `JavascriptEnable` UInt8,
    `IsMobile` UInt8,
    `BrowserLanguage` UInt16,
    `BrowserCountry` UInt16,
    `Interests` UInt16,
    `Robotness` UInt8,
    `GeneralInterests` Array(UInt16),
    `Params` Array(String),
    `Goals` Nested(
        ID UInt32,
        Serial UInt32,
        EventTime DateTime,
        Price Int64,
        OrderID String,
        CurrencyID UInt32),
    `WatchIDs` Array(UInt64),
    `ParamSumPrice` Int64,
    `ParamCurrency` FixedString(3),
    `ParamCurrencyID` UInt16,
    `ClickLogID` UInt64,
    `ClickEventID` Int32,
    `ClickGoodEvent` Int32,
    `ClickEventTime` DateTime,
    `ClickPriorityID` Int32,
    `ClickPhraseID` Int32,
    `ClickPageID` Int32,
    `ClickPlaceID` Int32,
    `ClickTypeID` Int32,
    `ClickResourceID` Int32,
    `ClickCost` UInt32,
    `ClickClientIP` UInt32,
    `ClickDomainID` UInt32,
    `ClickURL` String,
    `ClickAttempt` UInt8,
    `ClickOrderID` UInt32,
    `ClickBannerID` UInt32,
    `ClickMarketCategoryID` UInt32,
    `ClickMarketPP` UInt32,
    `ClickMarketCategoryName` String,
    `ClickMarketPPName` String,
    `ClickAWAPSCampaignName` String,
    `ClickPageName` String,
    `ClickTargetType` UInt16,
    `ClickTargetPhraseID` UInt64,
    `ClickContextType` UInt8,
    `ClickSelectType` Int8,
    `ClickOptions` String,
    `ClickGroupBannerID` Int32,
    `OpenstatServiceName` String,
    `OpenstatCampaignID` String,
    `OpenstatAdID` String,
    `OpenstatSourceID` String,
    `UTMSource` String,
    `UTMMedium` String,
    `UTMCampaign` String,
    `UTMContent` String,
    `UTMTerm` String,
    `FromTag` String,
    `HasGCLID` UInt8,
    `FirstVisit` DateTime,
    `PredLastVisit` Date,
    `LastVisit` Date,
    `TotalVisits` UInt32,
    `TraficSource` Nested(
        ID Int8,
        SearchEngineID UInt16,
        AdvEngineID UInt8,
        PlaceID UInt16,
        SocialSourceNetworkID UInt8,
        Domain String,
        SearchPhrase String,
        SocialSourcePage String),
    `Attendance` FixedString(16),
    `CLID` UInt32,
    `YCLID` UInt64,
    `NormalizedRefererHash` UInt64,
    `SearchPhraseHash` UInt64,
    `RefererDomainHash` UInt64,
    `NormalizedStartURLHash` UInt64,
    `StartURLDomainHash` UInt64,
    `NormalizedEndURLHash` UInt64,
    `TopLevelDomain` UInt64,
    `URLScheme` UInt64,
    `OpenstatServiceNameHash` UInt64,
    `OpenstatCampaignIDHash` UInt64,
    `OpenstatAdIDHash` UInt64,
    `OpenstatSourceIDHash` UInt64,
    `UTMSourceHash` UInt64,
    `UTMMediumHash` UInt64,
    `UTMCampaignHash` UInt64,
    `UTMContentHash` UInt64,
    `UTMTermHash` UInt64,
    `FromHash` UInt64,
    `WebVisorEnabled` UInt8,
    `WebVisorActivity` UInt32,
    `ParsedParams` Nested(
        Key1 String,
        Key2 String,
        Key3 String,
        Key4 String,
        Key5 String,
        ValueDouble Float64),
    `Market` Nested(
        Type UInt8,
        GoalID UInt32,
        OrderID String,
        OrderPrice Int64,
        PP UInt32,
        DirectPlaceID UInt32,
        DirectOrderID UInt32,
        DirectBannerID UInt32,
        GoodID String,
        GoodName String,
        GoodQuantity Int32,
        GoodPrice Int64),
    `IslandID` FixedString(16)
)
ENGINE = CollapsingMergeTree(Sign)
PARTITION BY toYYYYMM(StartDate)
ORDER BY (CounterID, StartDate, intHash32(UserID), VisitID)
SAMPLE BY intHash32(UserID)

接下來匯入資料

clickhouse-client --query "INSERT INTO tutorial.hits_v1 FORMAT TSV" --max_insert_block_size=100000 < hits_v1.tsv
clickhouse-client --query "INSERT INTO tutorial.visits_v1 FORMAT TSV" --max_insert_block_size=100000 < visits_v1.tsv

可以使用查詢來鑒察是否匯入成功

clickhouse-client --query "SELECT COUNT(*) FROM tutorial.hits_v1"
clickhouse-client --query "SELECT COUNT(*) FROM tutorial.visits_v1"

接下來就可以使用各項工具來玩玩這個來自俄羅斯的列式資料庫。

No 意見

A-Fu Design

Introduction to Google Analytics 4

Benefits of using GA4 for SEO

Setting up GA4

Analyzing data in GA4

Optimizing SEO with GA4

Google Analytics 4 SEO metrics

Best Google Analytics 4 SEO practices

Advanced SEO tactics with GA4

Tips for improving SEO with GA4

Conclusion

ClickHouse是一個用於分析(OLAP)的列式資料庫管理系統(DBMS)。

DEB 安裝

基本的資料導入建立說明

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