To Recognize Users Across Different Devices, What Is Required For User Id?

Explanation: – The User ID enables the association of one or more sessions (and any activity within those sessions) with a unique and persistent ID that you send to Analytics. To implement the User ID, you must be able to generate your own unique IDs, consistently assign IDs to users, and include these IDs wherever you send data to Analytics.

What feature must be enabled to recognize users accross different devices?

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What is the user ID policy for Google Analytics?

Limits –

• The User-ID feature is built for use with Google Analytics technologies. All implementations must comply with the Analytics SDK / User-ID Feature Policy,
• The user IDs you send to Google Analytics must be fewer than 256 characters long.
• Any data in your Analytics account collected and recorded prior to implementation won’t be reprocessed and associated with a user ID.
• User-ID data collected in one property can’t be shared or mixed with data in other properties.

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How do I enable user ID in Google Analytics 4?

Add Custom Definitions in Google Analytics 4 UI – Let’s create custom definitions for that User ID variable. Go to your GA4 account, and click Configure > Custom definitions on the left sidebar. Click to Create custom dimensions and add user ID definition. Scope should be User, and user property should be user_ID, which is configured before on GTM. Save it and go to DebugView for testing. Visit your website and check your User ID definitions in real-time. Congrats, now you can use this custom User-scoped definition on your report and analysis.

What is User pseudo ID?

Reporting Identity – In Google Analytics 4, “Reporting Identity” refers to the user identifier(s) that are used to generate reports. You have an option to configure this under your property settings (I’ve written more about what this means HERE ), but what is relevant to this article is to understand that Google prefers to use the user_id to identify users because it is considered to be the most reliable.

All events that are generated for a user (with a User ID or not) will include a “user pseudo ID” (sometimes this is displayed as the “Device ID” or “App-Instance ID” in reports). On the web, this is supplied by a first-party cookie, and was known as the “client ID” in previous versions of Google Analytics.

For Android and iOS apps, this is set to the App-Instance ID, ID STITCHING If the user lands on a website unauthenticated, and then authenticates and begins passing a User ID in a later event, Google Analytics 4 will use the “User Pseudo ID” to attribute the User ID to previous events where the User ID was not set.

In the example above, the User Explorer report will only display one “App-instance ID” (which is the User Pseudo ID) set to “12345” for both of these events. BUT, if more events are detected by the same User Pseudo ID without the User ID set then these will not be attributed to the User ID. In this example, the User Explorer report will show you two App-instance IDs: “12345”, and “abc”.

This next part can be counterintuitive: The first two events can be attributed to both of these App-instance IDs. If you drill down into “12345” you will see two events, but if you drill down into “abc” you will see all 3 events.

What feature must be enabled in a third party Analytics tool to recognize users across different devices?

Track individual users in Google Analytics and get a singular view of your customer journeys. When it comes to monitoring and measuring web traffic, most people will turn to Google Analytics. That doesn’t come as a surprise. Google Analytics is great for providing a general overview of traffic coming in and going out of your website, but in order to truly harness the power of Analytics, you need to focus on collecting and collating individual data instead.

• While many marketers believe it’s out of the question to track individual users in Google Analytics, it’s not impossible.
• If your application or website has a login authentication system, then it is possible to track users in Google Analytics with its User ID tracking feature.
• In this guide, we’ll show you how to get started with User ID tracking in Google Analytics and help you make better sense of your marketing data.

Topics we’ll discuss:

What is Google Analytics User ID feature How to track individual users in Universal Analytics How to track individual users in GA4 What are limitations of tracking individual visitors in Analytics

TL;DR 👉 A User ID in Google Analytics is a feature that allows tracking of user activity across devices and sessions by assigning a unique ID to each user. 👉 There is a dedicated report in GA4 called “User Exploration”. You can click through and see the different interactions each anonymous visitor has completed on your website.

• 👉 There are two major flaws with user tracking in Google Analytics.
• It requires users to log in to work, and Analytics can’t track personally identifiable information.
• 👉 Without personally identifiable information, the link between your marketing, website and revenue is effectively broken.
• 👉 With first-party visitor-level attribution, you can follow individual users, track customer journeys, and better understand the performance of your digital marketing efforts.

Learn more on how to track website visitors,

What is the user ID feature?

Limitations of User ID – Through the User ID feature, you can not track users and their activity from the very first time they visited your website and before they decided to sign up and log in. Thus, the User ID feature works well only for logged in users.

Now not all the users who visit your website login. So you may not be able to track a large portion of the users’ conversion journey. In order to overcome this limitation, you can keep your users logged in unless they explicitly logged out. For example, Facebook keeps its users logged in all the time unless they explicitly logged out.

In this way, Facebook is able to collect most of the cross-device behaviour data about its users. Here are a few more User ID limitations:

• Assigning User ID: Google Analytics on its own cannot generate or assign a User ID. This is generally done by the authentication system you use, Once the user signs up, or logs in, to your website, the User ID is passed to Google Analytics.
• Product integration: You can connect Google Ads or Search Ads 360 with the User ID view, but you cannot integrate (connect) User ID view with Display & Video 360, Campaign Manager 360 and Google Ad Manager.
• Feature limitations: A few Google Analytics features are not available in the User ID view:
  • Real-time reporting: Google Analytics does not show real-time data for User ID view. Data in the User ID view comes from the identified sessions. To protect individual user data (PII regulations) real-time view is not supported in User ID views.
  • Demographics and interest reports: The PII regulations also apply to demographics and interest reports which combine gender, age, and interest details of the users. Hence you won’t see any demographics and interest reports in the User ID view.
• Blocking extensions – Adblockers and script blockers: If any of the website users are using the blocking extensions which block Google Analytics script and Google Tag Manager script and prohibit sending data to Google Analytics, this can affect the data that you collect including the User ID feature.

How does Google Analytics assign user ID?

To send a user ID to Analytics, add the user_id parameter to the config command in the measurement code on each page of your website. Using the following snippet, replace G-XXXXXXXX with your tag ID and USER_ID with the generated user ID. });

What is a user ID example?

Since the userid identifies you to the computer, it is natural for it to be used to identify you to other computer systems. For example: The person Joe B. User could have this userid, ‘jbu3470’. The userid is made up of the person’s initials and the digits of some personal identification number.

What is user ID tracking with Google Analytics 4?

The user ID feature in Google Analytics 4 allows us to count the users accurately and will enable us to measure their activity across different sessions, devices, and platforms. There are three basic requirements for this feature to work. First, we need a unique User ID for each user.

What is the difference between client ID and user ID in Google Analytics 4?

1. Browser vs User – As you have seen earlier, the Client ID is stored in a cookie, and therefore only tracks the same user across the same browser and device. On the other hand, the User ID focuses on the user, tracking him or her across a range of devices and browsers.

What is user ID in Google API?

Your user Id is your email address, or whatever you use in the user id field when using a Google login form.

How many types of user ID are there?

Methods of user identification. – The main difference among user identification processes lies in the type of device they are connected through and whether they are using a web browser or mobile app. The following methods provide user identification in web browsers:

– text files with small pieces of data stored by a web browser on a user’s computer when accessing the web site.ETags – an HTTP response header used to improve the efficiency of cache and save traffic – a technique, which analyses users’ specific and unique configuration of software and determines his device or browserEvercookies – cookie files that are saved to various storage locations in a user’s browser or device.HTML 5 Local Storage – is a newer way of storing data on the client’s computer.

Mobile devices have two types of user identification: mobile web browsers and in-app identifications. Web browsers on smartphones and tablets use the same cookie method as implemented in desktop browsers. But in-app user identification varies and consist of the following methods:

Advertising IDs – a unique, user ID for advertising provided by Google’s Android ID (AID), Apple’s ID for Advertising (IDFA) and Microsoft’s Advertising ID (Advertising Identifier).Webview – technology that creates and stores cookies inside a safe location of the device.

In fact, most of the stated above methods have a number of challenges due to privacy regulations, so that alternative solutions appeared on the digital market. One of these solutions is Universal ID, a method of identifying user IDs by managing the cookie-syncing and ID-matching processes on behalf of different AdTech platforms.

What is User_pseudo_id in GA?

User_pseudo_id is a value that’s created by the data stream or the app data stream to identify a user uniquely on that particular client.

Which tool is used to analyze user data?

24. Excel – Microsoft Excel is the most common tool used for manipulating spreadsheets and building analyses. With decades of development behind it, Excel can support almost any standard analytics workflow and is extendable through its native programming language, Visual Basic.

1. Excel is suitable for simple analysis, but it is not suited for analyzing big data — it has a limit of around 1 million rows — and it does not have good support for collaboration or versioning.
2. Enterprises should consider more modern cloud-based analytics platforms for large and collaborative analyses.

Data analysis tools work best with accessible data centralized in a data warehouse. Stitch is a simple data pipeline that that can populate your preferred data warehouse for fast and easy analytics using more than 100 data sources. Try Stitch for free today,

Which of the four types of data Analytics seeks to recognize what is going on as well as the likely forecast and make decisions to achieve the optimal results possible?

Predictive Analytics Predictive analytics is used to make predictions about future trends or events and answers the question, ‘What might happen in the future?’

How to identify users web analytics tools need to report on?

Web Analytics Tools – An average web analytics tool offers hundreds of metrics. All of them are interesting but only a few would be useful for measuring the website’s performance. Focus on what is important to get meaningful insights on your website, and start your web analytics initiative by defining realistic and measurable objectives for your site.

In order to identify the users, web analytics tools need to report on user sessions (also referred to as visits). There are different techniques to identify users such as IP addresses, user agent and IP address combination, cookies, and authenticated user. Nowadays, the most common user identification technique is via cookies which are small packets of data that are usually deposited on the user’s computer hard disk when the person visits a website.

How to track individual engagement across multiple sessions and multiple devices?

Create a User-ID – In order to track users across multiple devices, you would need to assign your own user-ids to the user. Follow the steps below to create a user id in google analytics. Step #1: Log in to your analytics account, navigate to the admin section and from under the property column click on,js tracking info >> User-ID, find user id Step #2: Inside the user-id, read the policy and switch the toggle on, to accept the agreement and click next step. user id policy Step #3: Setting up user-id does require a change in analytics tracking code. Insert the line of code that is shown in step two into your analytics tracking code. ga(‘set’, ‘userId’, }); Here is how analytics tracking code looks after inserting the user id line of code. change analytics tracking code To accomplish this process, you would need a developer help, if you don’t belong to any programming background. You would need to write code that would pull the login ids from the authentication system and send to GA as the user id. For further information and help regarding user-id setup click here, For setting up user id using google tag manager click here, Step #4: Turn on/off session unification about session unification Click on the toggle button to turn the feature on. Step #5: Create a user-id view So far, your current analytics view does not display cross-device reports. To view and analyze data from sessions in which a user-id is detected, you will need to create a new view. create a new view Follow the steps ahead to create a view in your analytics account.

Which can be used to track users across multiple Web pages?

How many websites are you managing in Google Analytics? – Of the people we surveyed, nearly 50% are managing 10 or more websites or properties in Google Analytics. When you are juggling that many Google Analytics sites, you need a defined framework, or else you may find yourself with a lot of incomplete or missing reporting data. “In Analytics, your business is an “Account,” and a website is a “Property,” says Andy Crestodina of Orbit Media, “So keep things organized and put every site under the same account. It’s like a family with grandparents and parents. Within each property, there can be many different “Views.” These are like the kids.” Yoann Bierling of International Consulting adds, “When sharing access with other contributors, make sure that they have access to the right accounts or properties. Managing these two dimensions correctly can greatly simplify collaboration with other actors that need to access some analytics of some of the sites.” Since Google allows you to have up to 50 properties in one account, this is the simplest option for tracking multiple sites.

You can simply list all of your websites as “different properties” under this account. Stein Jurgen of Smartphones Revealed says, “We collect all of our websites on the same analytics account. Otherwise, you can easily spend too much time on making an overview of all your websites if you have many.” David Ehrentreu of Calibrate Media adds, “Keep it simple! There is no need to make things complicated.

Make sure when you create a new Google Analytics property to create it from the top-level (Account Level.) Since it is possible to make multiple tracking properties on one website.” “Always nest your Google Analytics accounts for multiple sites under one main tracking ID.,” says William Chin-Fook of Pickfu.com,

1. What that means is you set up one account and then set-up your different websites under this account.
2. This will make it easier to keep tracking of Google Analytics properties and also organize them (and any views) as you create them.” Arvind Patil of SRV Media chimes in, “Use a single account id in Google Analytics and add multiple sites as different properties to track performance and traffic data.

In order to track the customized details, you can create different views under a single property.” In addition to creating a property for each site, you’ll also want to set up multiple views for each property. “Make sure to create multiple views for each property,” says Alex Kalavrezos of Healthy Links,

“In each view, have your data filtered properly so you can see data from organic, paid, social, etc. It’s way easier to analyze that way.” “Create custom views so you can isolate sessions that start or end on a particular subdomain,” adds Joseph Colarusso of CORE Search Marketing, Lewis Peters of Online Turf adds, “One of the first things I do when taking over a new analytics account is ensuring that the data is as accurate as possible, by utilizing views.

A view enables you to see your data from a certain perspective – and so you can have many views within one GA property. By default, you will have 1 view named simply ‘all website data.” There are 3 views I recommend setting up for each website you want to track in GA:

• Your main view, where all appropriate internal filters & any goals should be enabled here.
• A raw backup view, just in case something goes wrong with your main view
• A test view that can be used safely as a testing environment without risking losing your main data.”

Kim Doughty of Leadhub recommends taking this process a step further by starring specific views. “When using Google Analytics for multiple websites, the best thing you can do, especially at an agency level, is to star the view you are using most,” says Doughty.

For one client, we may have more than one Google Analytics view, which can confuse team members working on the same account. Staring the view prevents us from sending inaccurate analytics reporting to clients and allows us to stay organized on an agency level.” An alternative way to set this up to add multiple sites in your main Google Analytics as unique accounts.

This allows you to track each site with unique Analytics tracking codes. Jennifer Neylon of Supplement Warehouse says, “Create multiple Google Accounts per each website that you want to track. This way, you can track each website’s behavior completely separately from each other.” “I’m the Co-Founder of ND2A Group, which owns a portfolio of websites which are visited over 2M times per month,” says Robert Janes of ND2A Group,

“I am currently managing 17 websites with Google Analytics. The most helpful tip that I can give anyone is to group websites by category or function. For instance, here at ND2A, we have multiple websites that are in the health space, so I created an analytics account called “ND2A Health” and create property tags for each website, app, and YouTube channel.” Khris Steven of Khrisdigital adds, “In using Google Analytics for multiple domains or websites, you have to create a new account in your existing Analytics account from the Account column.

Here are a few tips to follow:

• Make sure you enter an Account Name different from the one you have already.
• Use a specific descriptive name so that you can easily tell what the new account is for when you see the name in the Account list.
• Then make sure to accept the default to add the account to your current organization.
• And finally, if you plan on tracking more than one property in this account, use a specific and descriptive name. Then fill in other necessary details.”

Abhijith VM of Geek’s Framework adds, “Perfect account property and view naming could save you a ton of time while doing analysis. This is especially valid if you are working for an agency where hundreds of analytics accounts are connected to one master account.

1. The common practice is for clients to share access to their GA properties.
2. Chances are they haven’t thought about properly naming their properties.
3. I’ve seen many using generic names.
4. So it’s better to rename the properties and the views.” Jonathan Delfs of Trendhim says, “Implement (at least) two accounts on your websites: 1) One general account for catching all your domains.

Really useful to get good tracking of traffic you get in through one channel to site A – where you link to site B. Then you can get a better overview of what you get from your ad spend.2) Add another account/view uniquely per domain/market, to get a single view of that market.

Great to avoid sampled data, when your sites get too big to fit a standard free Analytics plan.” Drew Beechler of High Alpha adds, “Make sure you set up a custom filter in order to display the full URL string. This will let you use the same GA tracking code on multiple websites and create custom segments around different URL strings to view the different website viewers.” Consider setting up a centralized Google Analytics reporting tool, that will give you a quick performance overview of all the websites you manage in one place and save yourself time each time you need to check up on KPIs.

“Making sure you are using a roll-up account will help you get an overview of all of your websites in one place – but will still allow you to see the data for each website separately,” says Jill Caren of 2 Dogs Media, Patricio Quiroz of Code Authority adds, “Roll-up reporting will collect data from multiple Google Analytics properties, which will allow you to see that data in the same report if you would like.

An example of this would be if you own several properties in different countries, you could then collect this data to compare metrics globally and drill down even further to compare properties in different countries. The advantage of the roll-up reporting is that you have two options in aggregating your data.

You can set up individual analytics properties that will include data from a single website, and then you have the multiple property view to include all of your properties.” “To use Google Analytics on multiple websites, my one tip is to use Google Tag Manager,” says Samuel Schmitt,

With GTM you will be able to set up different Google Analytics tracking for different environments. In other words, each website will have its own Google Analytics Tracking ID (UA-XXXXXX-X), and everything managed centrally from Google Tag Manager.” Omar Fonseca of Medicare Plan Finder adds, “Google Analytics is the one-stop-shop for all website performance, traffic data, and analytics.

When you have multiple websites to track, you can use a single account to add multiple sites in Google Analytics, which can be done in two ways. You can either add all your sites under a single Analytics account as different properties or add a unique Analytics account ID to each individual site.

Then the most important step happens; multiple websites means a multitude of codes to enter in your website. In order to keep all your codes in one place, which will provide you with only one handy code needed for your website, you must set up your subdomains correctly using Google Tag Manager (GTM).

GTM allows site owners to store, manage, and deploy all your tags to your site from one location. That way, if you are tracking data with multiple different programs instead of having all those scripts within your header which slow your website down significantly.

GTM produces one script, which represents all of your tags in GTM, so Google only has to read one script instead of many. With site speed being so important, this reduces the requested resources and keeps your website running smoothly and fast!” Krzysztof Surowiecki of Hexe Data adds, “I recommend having a detailed Google Analytics implementation framework according to which all new site implementations are carried out.

Such a framework defines, among others, basic GA configuration rules. It defines any additional elements that are added to the standard GA configuration, e.g., events, custom dimensions, calculated metrics, etc. It defines the naming of elements. In addition, all implementations are implemented through the tag manager, which allows for quick and efficient management.” “The most important thing to do is always to make sure that you are looking at the right site,” says Andrea Bailey of Tandem Interactive,

1. Use the Google Tag Assistant to check that the analytics code matches what you are looking at.
2. From here, it is important to focus on one site at a time to ensure that you do not get confused.
3. Taking screenshots if you are looking to compare clients side-by-side or jumping around can be helpful as well.

If you check the analytics frequently, you will also start to become more familiar with each site’s trends and be less likely to get confused.” “Create a custom web analytics dashboard that has all the most important information for your niche, and use that for all your websites’ analytics,” says Toni JV of JVT Media,

1. This will obviously differ from every website and business depending on their goals, but if you work in a specific niche, oftentimes, you can duplicate the dashboards from your other website’s analytics, saving you time and headache.
2. Now you can quickly go and look at the most important data for your website without getting confused and overwhelmed.

And most importantly, keep it simple. You don’t want to overcomplicate this and overwhelm yourself by tracking too many websites and too much data all at once.” Jasmine Hippe of Augurian adds, “To easily view all of your Google Analytics data in one spot, I recommend using Google Data Studio. They have templated reports, or you can create your own custom report to bubble up insights from all of your GA properties in one easy-to-access spot.” You can also use a custom dashboard software like Databox.

Will Craig of LeaseFetcher says, “Google Analytics is our website tracking treasure chest containing all our own, as well as, all our clients’ traffic and performance data. When analyzing data from multiple sites on Google Analytics, we highly recommend that you consider cross-domain traffic. Implementing cross-domain traffic means that cookies from one site are passed onto the next, ensuring that the visit data is reliable and accurate.

If you decide not to implement cross-domain tracking, all of your sites will appear within the same referral traffic report, which obviously affects the accuracy of this data.” Noriko Harada of 45/RPM adds, “This is the first and most important thing you need to do. This will affect how you see data from referral traffic to eCommerce transactions. If you miss this, the data you see on GA might not be right, and you might lose some opportunities to improve paid and organic efforts.” Once you implement cross-domain tracking, you’ll also want to update your referral exclusion list within Google Analytics to ensure the most accurate site data.

In some situations, a company has multiple websites that as a whole are treated as one,” adds Dylan Zsigray of Kiwi Creative, “For example, a website could have multiple subdomains (e.g., a blog) that are technically “independent” but are normally treated as part of the parent site. While a user may see a different UI for each site, you treat them as joint as they serve a larger purpose.

To avoid having inaccurate data in Google Analytics for your goals, it is beneficial to add sites to the referral exclusion list for each applicable property. This ensures that if a user leaves your site and goes to one of your subdomains, they will not be counted as an inbound referral each time.

In other words, a user will travel in-between your sites freely without messing with your data.” Aqsa Tabassam of Brandnic adds, “If you are using Google Analytics for multiple websites and these websites have their subdomains as well, along with the primary domains. This situation might cause a discrepancy in analytics provided by Google and your private web traffic tracker.” “With any cross-domain setup, you should also remember to add any domains you’re tracking to the Referral Exclusion List,” says Anthony Espinoza of TopSpot Internet Marketing,

“Any websites added here will ensure the original, accurate source is kept and will prevent “self-referrals.” This feature is only available to the Universal Analytics version of the tracking code, so make sure the code is up to the latest standard.” Axel DeAngelis of NameFeedback.com says, “For microsites/subdomains, it’s important to set up referral exclusions so that users who click from your main domain to your subdomain only count as one session.” Carol Hill of Analyticshelp adds, “Make sure that cross-domain is working correctly on all websites and add the websites to the referral exclusion list in Google Analytics.” “If you’re using Google Analytics on multiple websites, be sure to adjust your settings to block known bots automatically,” says Stan Mead of Summit Home Buyers LLC,

1. Bot Traffic describes any non-human traffic to a website.
2. Some bots are acceptable, but some are malicious and can skew your data.” “Using annotations allows you to identify changes that have been made to your websites as you monitor sessions, users, and behaviors across your web properties globally,” says Daniel Kraciun of find.jobs,

“Annotations is one of the most usable and undervalued features within Google Analytics for multi-site management.” *** In sum, if you have multiple websites, there are two main ways to configure Google Analytics.

• You can add all of your sites as different properties under your main account.
• Or, you can add multiple sites in your main Google Analytics as unique accounts.

Which two ways should users access Salesforce from their mobile devices?

3. Access In-app Notifications – Agents in your team can quickly respond to approval requests, look into new cases or reply to Chatter mentions (on Salesforce records) instantly from within the Salesforce app using in-app notifications. This means even if your team is out in the field, they won’t be missing any important news or update.

You might not always have wifi, and that’s okay! The Salesforce mobile app allows its users to access CRM on two levels: caching frequently accessed records while offline, and Offline Edit, which allows users to create, edit and delete records when they are offline. While Salesforce customizations and components can be configured for productivity and faster navigation, it can all be for nothing if you can’t access them in one-on-one situations when teams need them the most.

This is why we set up mobile access to Salesforce for a lot of clients with field teams. Whether it is to access customer history, post events, send emails, or book meetings, all of it can be done on the go through your mobile devices. This is something that boosts productivity notably, especially for sales representatives and service technicians who are constantly on the field.

What feature must be enabled to use multi channel funnels?

Apply Insights from Multi Channel Funnel Reports with DemandJump – All this reporting from across different channels teaches you a lot about the content your customers love. But the keyword insights and competitor analysis you need to make the most of this knowledge mean looking through more reports and spending lots of time in thought and deliberation.

• We developed DemandJump to integrate directly with Google Analytics and Adwords, collecting all these insights in one place.
• Backed by the power of machine learning, our platform presents all these multi channel insights along real-time keyword trend insights.
• This lets you make more informed and efficient strategic choices about everything from pay-per-click to content creation.

Let us show you just how easy multi channel marketing attribution can be. Schedule some time today! Please Share:

What feature would be used to collect how many times users downloaded a product catalog?

Who downloaded a product catalog? – The most common way to collect how many users downloaded your product catalog is via Google Analytics. Simply go to > Behavior > Events > Product Catalog. This feature would provide you with very basic data on the performance of your product catalog. It will tell you how many times users downloaded a product catalog from your page. The problem with this method is that it doesn’t provide the exact download information. Here are some scenarios where the number of downloads won’t be accurate: How? Consider this scenario: Mike lives in a rural area, where his internet connection often fails him. He downloads your pdf catalog, but he loses internet connection halfway through. So he clicks “download” again. This time the download is successful. The problem is, that in this case, the Google Analytics report would show you, that 2 users downloaded your report. Now, imagine that you have 100 “Mike’s” on your website every month-it’s a quick way to get your results distorted.

Which of the following types of traffic uses auto tagging?

Answer: Search engine traffic other than Google.