BigQuery is a data warehouse from Google. It is used to manipulate Google Analytics data in a way that is many times simply not possible by using the Google Analytics user interface.
What sort of skills and qualifications are required to become a good digital analyst? What makes a good analyst a great analyst? Learn all of this and more from industry top experts.
Learn the expert tips to pass the 2019 GAIQ (Google Analytics Individual Qualification) Test to become a Google Analytics Certified Individual. Get GAIQ Sample Questions.
Learn to send data to Universal Analytics using the measurement protocol in plain English. Learn to send event tracking data and ecommerce data to Universal Analytics.
Learn to use Google Analytics API without any coding and access un-sampled data in any format you want and/or merge Google Analytics data with other data sources.
Learn about how to give Google Analytics access. Learn about the various Google Analytics access levels. Learn about the various users’ permissions in GA.
Learn to share Dashboards, Custom Reports, Segments, Goals, Attribution Models, Remarketing audience, etc in Google Analytics through this step by step guide.
Through GA Discover report you can quickly access various Google tools like Google Analytics App, Google Analytics Demo Account, Custom Alerts, Google Spreadsheet Add-On.
Learn everything about custom campaigns in Google Analytics. Learn to correctly use UTM parameters in your ad URLs. Learn about manual and auto-tagging.
Goals sets are specifically created to categorize different types of goals for your website. Every goal that you create in Google Analytics is assigned a numeric ID called the ‘goal slot ID’.
As the name suggests, the destination goal is a goal to a particular destination. In GA, this destination is denoted via a visit to a specific page(s) (pageviews) or viewing of a screen (screenview).
Direct traffic is increasing day by day and if you don’t do anything about it now, then one day all you will see in your analytics reports will be direct traffic: little to no referral data, just direct traffic and ‘not provided’ keywords.
Direct traffic is that Google Analytics session (or visit) that starts without a referrer being passed by a user’s web browser.
This is the most accurate definition of direct traffic. All other definitions of direct traffic are lame, as they do not accurately describe, what direct traffic really is.
When you create a new Google Analytics property, the GA4 property is now the default property. But you can still create a Universal Analytics property in parallel.
One of the most frequently asked questions by a beginner in Google Analytics is where to put the Google Analytics tracking code on a website.
Google recommends that you put the tracking code immediately after the <head> tag of every web page you want to track. However, the code placement can differ from website to website.
There is a common misconception that you need access to a website and its corresponding Google Analytics account before you can learn Google Analytics.
In this article, I will show you how to learn both Universal Analytics and Google Analytics 4 even when you don’t have a website and fully functional Google Analytics reporting views.
Google Analytics reports a placeholder called ‘(not set)’ when it doesn’t receive any value for a particular dimension.
There could be many reasons for (not set) appearing in your GA reports. You can learn about these various reasons as well as learn how to remove (not set) from your reports via this article.
Setting up goals (also known as conversions) is the fundamental requirement in Google Analytics. Otherwise, there is no point in tracking data.
Goals tell you how good or bad your marketing campaigns/efforts are in achieving your website objectives.
You can set up the following types of Goals in Google Analytics: a) Destination goals b) Duration goals c) Pages/Screens per session goals d) Events goals.
Both Google Analytics and adobe analytics have their pros and cons and it could be difficult to decide which one to use.
Ideally, you should be using both. It is always best practice to use at least two analytic tools so that you can quickly detect any big anomaly in analytics data. If that is not possible then use a tool that can best meet your needs.
Learn all about Google analytics segments vs Filters.
The segment in Google Analytics allow you to change your data on the fly but it does not change your data permanently. Whereas filters change the data permanently.
Learn all about Google Analytics Form Tracking through this easy-to-understand step by step tutorial.
Form submission on a website is the most common but important interaction to track in Google Analytics. When a user on the website submits a form, it generates a lead for you.
Learn to use Google Analytics Real-time Reporting API.
In order to use the GA real-time reporting API, you need to make sure that the following prerequisites are met: Google Analytics API is enabled, you have the credentials to access the API…
Learn all about real-time Reports in Google Analytics.
Real-time reports provide an overview of what is currently going on your website. The reports are updated in real-time and every hit to Google Analytics servers gets monitored here.
Oribi Analytics vs. Google Analytics: Which one is better? This guide will compare Google Analytics with Oribi Analytics. You’ll learn about the pros and cons of each solution.
Google has introduced a new tool for GA 360 customers called ‘Advanced Analysis’. This is a major feature, as it completely changes the way you analyse and segment data in Google Analytics.
Learn to use Advanced Analysis in Google Analytics 360 through this step by step tutorial.
Use this Google Analytics Audit Checklist to make sure that you are tracking your Google Analytics data correctly. You need accurate data to do an accurate analysis.
Any analysis based on flawed data will not be accurate and could also result in financial loss.
We have found that Cloudflare impact Google Analytics Stats. For example, Cloudflare ‘Rocket Loader’ feature can automatically add type = ‘text/rocketscript’ to all the JavaScript codes embedded on your website.
Learn to fix Clicks and Sessions Discrepancy in Google Analytics. Many times it happens that clicks from Google Ads and Google Analytics sessions do not match.
Learn to fix Missing Ecommerce Data in Google Analytics through this step by step guide. Google Analytics crawlers make a regular and periodic diagnostic of your website and provide you notifications as a reminder to look into the issue and fix it.
Learn to fix Missing Campaign Parameters in Google Analytics through this step by step guide. You get the missing campaign parameters notification when you are running non-AdWords marketing campaigns (like email, affiliate, etc) that are either untagged or not tagged correctly.
Learn to configure a goal flow in Google Analytics through this step by step guide. Generally, you get a “Configure a goal flow” notification when you have not set up funnel pages for your tracked goals.
Learn to fix No Hits in Google Analytics. When you get the ‘No Hits’ notification then it could mean, your Google Analytics tracking has stopped working.
Either someone has removed the GA tracking code or the tracking code has broken or is not firing anymore.
Learn to fix self-referrals in Google Analytics. Self-referral is referral traffic that is generated by your website domain. If you see your website domain in the referrals report, then that means there are some issues with your Google Analytics set-up.
Learn to fix Tracking Code Mismatch in Google Analytics. You get this notification when some or all of the web pages on your website have got Google analytics tracking code which is meant for another web property.
Articles on specialised tracking in Google Analytics
Learn to track monthly recurring revenue (subscription tracking) and lifetime value through Google Analytics. The analysis of the revenue generated through recurring products/services is called recurring revenue analytics.
SAAS (Software as a service) businesses often collect recurring revenue via monthly/yearly subscription fees. However, tracking subscription payments in Google Analytics is a bit tricky.
If you are using a cookie consent popup to comply with GDPR, which allow a website user to accept or decline cookies, you would want to track the impact of this cookie consent on your website traffic, sales and conversions over time.
Learn all about phone call tracking. Learn to track phone calls, call conversions, ‘Qualified’ and ‘won’ phone leads in Google Analytics.
If you are in the business of generating leads through phone calls then it is imperative that you attribute phone calls to the correct traffic source in your Google Analytics reports.
Understanding exactly which marketing channels and keywords are driving phone calls is invaluable.
Learn to use the new Scroll depth trigger in Google Tag Manager, to track how far website visitors scroll content on your website. The ‘scroll depth’ metric is used to measure how far users scroll contents on your website.
Your website users can scroll your contents both vertically and horizontally. So we can have two types of scroll depth metrics: Vertical Scroll Depth and Horizontal Scroll Depth.
The one thing that you don’t know about PayPal.com and the referral exclusion list.
Whenever a customer leaves your website to make payment via Paypal and then return to your website, Google Analytics often attribute sales to paypal.com instead of the original traffic source.
Postbacks (or Mobile App Postbacks) allow Google Analytics to ping (send conversion data) a third party mobile advertising network whenever it detects a mobile app install (‘first launch’) or in-app conversion (like transaction) from that network.
Through this article you will learn to send a virtual pageview to Google Analytics when a user clicks on: a link, an image link, a button, the button embedded across a website, a form submit button.
You will learn to track single page checkout steps via virtual pageviews in Google Analytics. You will learn to track sales funnel across websites via cross-domain tracking and virtual pageviews.
In this article, I will show how to create a site search funnel in Google Analytics and then use it to optimize your website for traffic and conversions.
I have been using a new tool called ‘Keyword hero’ with great success and thought you will also benefit from it. Through this tool, you can get (not provided) keywords data back in Google Analytics.
Learn to track offline conversions (Webform leads, Phone Leads) in Google Analytics. Learn to use Coupons and vanity URLs for tracking offline leads online.
Learn to integrate your Google Analytics account with your YouTube channel. Learn to track the traffic from external links embedded in your YouTube videos.
Learn to track Facebook ad campaigns in Google Analytics. Understand how Facebook traffic moves through the checkout process. Determine top traffic generating web pages shared on Facebook.
Learn all about virtual pageviews in Google Analytics. What is a virtual pageview? when to use virtual pageviews, naming conventions for virtual pageviews.
Learn to implement Cross-Domain Tracking in Google Analytics across sub-domains, primary domains and top-level domains through this easy step by step guide.
Learn to set up AMP on your WordPress website and track traffic on AMP pages in Google Analytics. Google also strongly recommend, making your website AMP compliant.
How to track Twitter social interactions (tweets, clicks and follows) and Linkedin interactions (shares) in Google Analytics with and without Google Tag Manager.
What is Open Graph Protocol and why do you need it? Learn to implement Open Graph Protocol for Facebook on your website. Open Graph Protocol Meta Tags.
According to Google, more than 90% of retail sales still happen in physical stores and not online. Many people use the internet to research a particular product but often visit a physical location to make a purchase.
As a result, businesses that advertise online but sell in physical stores have a hard time understanding how their online ads and websites are driving offline store visits.
Articles on Google Analytics Attribution Modelling
Get my best selling books on Attribution Modelling
Learn to implement attribution modelling in your organisation
Understand the customer purchase journey across devices
Determine the most effective marketing channels for investment
Learn all about default and Custom Attribution Models in Google Analytics. The default attribution models are pre-built models that define how credit for conversion should be distributed to various interactions (or touchpoints) in a conversion path before the custom credit rules are applied.
The following are some general guidelines you can use while selecting an attribution model in Google Analytics. #1 Least Amount of buying consideration = Last Touch Attribution Model.
Learn about attribution modelling in Google Analytics. Learn about Acquisition channels, Multi-Channel Funnel Reports, Conversion Paths, Channel Labels
All of the data you see in Google Analytics reports today lie to you unless you know exactly how to interpret it correctly. Learn to avoid the mistake of crediting conversions to the wrong marketing channels.
Introduction to Marketing Mix Modelling (MMM). Why do you need Attribution Modelling and how it is different from MMM. Learn to integrate Attribution Modelling into Marketing Mix Modelling.
True multi-channel analytics is nonline analytics. When we talk about nonline analytics, we do not measure just the online customer purchase journey or just the offline customer journey.
Learn to track offline conversions (Webform leads, Phone Leads) in Google Analytics. Learn to use Coupons and vanity URLs for tracking offline leads online.
Learn to explain attribution modelling to your clients that actually make sense to them. Attribution modelling is the process of understanding the buying behaviour of your website visitors and determining the most effective marketing channels for investment.
Learn the tricks and tips to achieve success in Attribution Modelling. Understand customers’ purchase journey, learn the concept of ‘missing touchpoints’.
Learn to win at the Zero Moment of Truth (or ZMOT) in order to increase conversions and sales on your website. ZMOT is the most powerful moment in a customer journey to purchase.
Learn to use the Law of Diminishing Returns in allocating marketing budgets. Understand the role of assisted marketing channels to stay away from the point of diminishing returns.
Historical data in web analytics is important because it helps in optimizing marketing campaigns but when interpreted incorrectly can result in monetary loss.
TV attribution modelling is the process of understanding the impact of TV ad network(s), TV program(s) and TV ad airing slot(s) on your website traffic, sales and other online users’ activities.
Understand Cross-Device Reports in Google Analytics via Google Signals. Learn about Device Overlap report, Device Paths report, Channels report, Acquisition Device reports.
Learn all about Model Explorer Tool in Google Analytics. Through this tool, you can determine how the Data-Driven Attribution model values were calculated.
Google Analytics now provides a free cross channel Data-Driven Attribution (DDA) Model to all users via the new ‘Attribution’ tool (still in beta). Earlier the data-driven attribution model was available only to Google Analytics 360 users. Now it is available to all Google Analytics users.
Use the Attributed Conversions setting if you want to see the change in the goal conversions between two attribution models in the ‘Model comparison’ report. Use the Attributed Revenue setting if you want to see the change in revenue between two attribution models in the ‘Model comparison’ report.
In the context of attribution reports, the marketing channels are referred to as attribution channels. Attribution channels can be broadly classified into two categories: free and paid. Free means you are not paying any fees for the traffic, and paid means you are paying fees for the traffic.
You can add more than one Google Analytics Property to your attribution project. Data from connected GA properties are available from the connection date forward. Only properties from the same Google Analytics account can be connected to your attribution project. You can not connect properties that belong to other GA accounts.
A conversion credit model is a rule or set of rules or a data-driven algorithm that determines how credit for conversions should be attributed/distributed to one or more touchpoints on conversion paths. It is another name for an attribution model. Through the conversion credit models, you can evaluate the effectiveness of your marketing campaigns.
A conversion lag (known as ‘time lag’ in GA multi-channel funnels reports) is the number of days to conversions. The length of conversion lag depends upon the amount of buying consideration involved. In the offline world, the conversion lag is known by the name of the ‘sales cycle’.
Through conversion path length report you can determine the number of touchpoints it takes for users to convert on your website. A touchpoint is an exposure to a marketing channel. The length of the conversion path depends upon the amount of buying consideration involved.
Through the Conversion Paths report, you can understand your customers’ paths to conversion for a particular conversion type, conversion credit model (aka attribution model) and conversion path length.
Use the conversion time setting if you want the model comparison report to include only those touchpoints that lead to conversions and that happened with the date range you selected. Use the Interaction time setting if you want the model comparison report to include all touchpoints that happened with the date range you selected.
In the context of an attribution project, a conversion type can be a goal conversion and/or e-commerce transaction which has been defined in one or more GA properties. What that means, if you have goal conversions and/or ecommerce transactions defined in multiple GA properties, you may choose to use them in the same Attribution project.
The model comparison report (or attribution model comparison report) is used to compare different attribution models to each other. This comparison is carried out to determine how a marketing channel can be valued from a different perspective.
Just like GA properties inherit user permissions from their corresponding GA account, the attribution projects also inherit user permissions from their corresponding GA account. What that means is that any user with GA account level permission has access to your Attribution project(s), unless you specify otherwise.
Attribution modelling is full of jargon and in order to understand the definition of attribution modelling, you would first need to understand this jargon.
Through the Google Ads performance report, you can analyze the performance of your Google Ads at the account level, campaign level and ad group level under different attribution models.
The last non-direct click attribution model assigns 100% of the credit for conversions to the last non-direct interaction on a conversion path. Google Analytics uses this model by default for non-multi-channel funnel reports
The last Google Ads click model assigns 100% credit for conversions to the last Google Ads click on a conversion path. Use this model, if you just want to understand the role of Google ads on conversion paths.
The position-based attribution model in Google Analytics assigns 40% of the conversion credit to the first interaction, 20% of the conversion credit to the middle interactions and 40% of the conversion credit to the last interaction on a conversion path.
The first interaction attribution model in Google Analytics assigns 100% credit for a conversion to the first interaction on a conversion path. This model is also known as the first touch attribution model
The last interaction attribution model in Google Analytics assigns 100% credit for a conversion to the last interaction on a conversion path. This model is also known as the last touch attribution model.
Learn all about Assisted Conversions and Assisted Conversion Value in Google Analytics ‘Assisted Conversions report‘. The assisted conversions are the number of conversions assisted by a marketing channel.
Learn all about ‘Last Click or Direct Conversions‘ and ‘Last Click or Direct Conversion Value‘ in Google Analytics ‘Assisted Conversions report’. The Last Click or Direct Conversions are the number of conversions completed by a marketing channel.
Learn all about ‘Assisted / Last Click or Direct Conversions‘ in Google Analytics ‘Assisted Conversions report‘. The ‘Assisted / Last Click or Direct Conversions’ ratio is calculated as thenumber of assisted conversions / number of last-click conversions.
Learn all about First Click Conversions and First Click Conversion Value in Google Analytics ‘Assisted Conversions report‘. The First Click Conversions are the number of conversions initiated by a marketing channel.
Learn all about ‘First / Last Click or Direct Conversions‘ in Google Analytics ‘Assisted Conversions report‘. The ‘First / Last Click or Direct Conversions’ is a ratio metric that is calculated as the number of first click conversions / number of last-click conversions
An attribution problem occurs in online marketing when you can not determine the primary source of conversion or you do not know the conversion paths followed by your website users.
Following are the benefits of Attribution Modelling in Online Marketing and Business: Attribution Modelling helps in finding and fixing attribution issues. It helps in understanding the buying behaviour of website users….
Following are the top barriers to implementing Attribution Modelling: 1) A work culture that is not data-driven 2) Lack of business agility 3) A work culture that does not encourage innovation ….
Learn about the Future of Attribution Modeling. The world of conversion attribution without cookies. In case you haven’t noticed, analytics platforms are not becoming smarter in tracking customers’ purchase journey anonymously.
Articles on getting started with Google Tag Manager
Whenever you give GTM account access to a person, you give that access either at the account level or at the container level. The access given at the account level is called the ‘Account permissions‘. The access given at the container level is called the ‘Container permissions‘.
A container file is a JSON file (a file with the extension .json). This file can contain certain or all tags, triggers, and variables you want to import.
Through the import container feature, you can import a container file (workspace or version file) to your GTM account. Through the ‘export container’ feature, you can export a container file to your GTM account.
Learn all about Google Tag Manager Data Layers with a lot of examples. Create simple and complex data layers in minutes. Learn about GTM datalayer push.
This article is related to installing Google Tag Manager (GTM) and deploying various marketing and analytics tags. Google Tag Manager set-up includes thirteen steps.
Through the Google Tag Manager preview and debug console window, you can make sure that your tags, triggers, variables and data layers work as expected.
By default, what you actually preview and debug is the deployment of the current container draft on your website. You preview and debug the container draft on your website as if it is currently deployed.
Google Analytics identifies a user as unique through a combination of a unique random number and the first timestamp (i.e. the time of the first visit). This combination is called the ‘Client ID’. You can send client ID to GA as a custom dimension via GTM.
In this article, I am going to explain the building blocks of Regular Expressions (or REGEX), so that you can understand them and use them in Google Analytics and Google Tag Manager.
A Lookup table variable is a user-defined variable in Google Tag Manager. As the name suggests this type of variable is used to lookup for the value that matches a given input pattern.
The Regex table variable in GTM is very much similar to the lookup table variable. Make sure you understand, how a lookup table variable works before you decide to use the more advanced regex table variable.
Before you implement event tracking via Google Tag Manager (GTM), make sure that you have enabled all the ‘built-in variables‘ of type: pages, clicks, and forms. By doing this, these variables will be available to you when you create tags and triggers later on.
Before you start tracking virtual pageviews via Google Tag Manager (GTM), make sure that you have enabled all the ‘built-in variables‘ of type: Pages, Clicks and Forms. By doing that these variables will be available to you when you create tags and triggers later on.
When you use Google Tag Manager (GTM) to add tags on a website, you get more control over When the tag should fire, When the tag should not fire, Where the tag should fire, Where the tag should not fire and What the tag should do, when it gets fired (executed).
To install Google Analytics on a website via Google Tag Manager (GTM) follow the steps below: Step-1: Login to your Google Analytics account and then open your reporting view.
In order to install Google Tag Manager (GTM) on your website, follow the steps below: Step-1: Create a new Google account (if you don’t already have one). You would need a Google account in order to create a GTM account.
The container tag provides all the functionality needed for Google Tag Manager (GTM), to run and deploy tags on your website. It is used to hold one or more marketing and analytics tags and their corresponding triggers and variables.
In Google Tag Manager (GTM), a template makes it easy to deploy and share a tag or variable with others within your company. The template which is used to deploy a tag on a website is called the tag template and the template which is used to deploy a variable is called the variable template.
In Google Tag Manager, through folders, you can organize tags, triggers, and variables by project name, team name, etc. For example, you can group all of the tags, triggers and variables related to ‘video tracking’ by creating a folder called ‘video tracking’ and then adding all of the related tags, triggers, and variables to it.
If your GTM container has got more than 50 tags, 50 triggers or 50 variables then the tag/trigger/variable list is paginated. By default, only 50 tags/triggers/variables are displayed at a time on a page which speeds up the user interface.
In Google Tag Manager you can search for a particular tag, trigger or variable by using the inbuilt search box. You can see this search box embedded on the left-hand side in your GTM workspace.
Learn to reduce bounce rate in Google Analytics. The most powerful method to reduce bounce rate is to adjust it by calculating the time spent on a page.
Beginner’s guide to Key Performance Indicators with examples. Learn to find Good KPIs and determine KPI performance. Learn about internal & external KPIs.
Learn all about Google Tag Manager Data Layers with a lot of examples. Create simple and complex data layers in minutes. Learn about GTM data layer push.
Get started with Google Tag Manager (GTM). Learn to use it through this step by step tutorial. Download FREE PDF e-book on Google Tag Manager (72 pages).
Learn everything about goals and sales funnels in Google Analytics. Learn to set up correct funnel visualization reports. Learn about funnel optimization.
Predictive analytics is an area of statistical analysis in which we extract information from data and then analyze it to identify patterns and make predictions about future outcomes/events.
Predictive marketing is the application of predictive analytics in marketing. It can help you answer the following questions:
What prompted me to write this article is the volume of misleading information floating across the internet regarding growing blog traffic exponentially and that too from the gurus who themselves run a low traffic website.
In this article, I have shared the strategies which work and don’t work for growing blog traffic to million visitors.
Frequently Asked Questions About Google Analytics Tutorial
What is the difference between Google Analytics and Universal Analytics?
Universal Analytics is a new and better version of Google Analytics. Universal Analytics (UA) provides more ways to collect and integrate different types of data than Google Analytics (GA).
Through UA you can integrate data across multiple devices and platforms. This is something that is not possible with GA. Consequently, UA provides a better understanding of the relationship between online and offline marketing channels that drive sales and conversions than GA.
What is the difference between Google Analytics (GA) and Google Tag Manager (GTM)?
GTM is a tag management tool. Whereas Google Analytics is a website/mobile app tracking tool. ‘GTM’ is primarily used to route data from one data source to another (like from your website to Google Analytics or from your website to a data warehouse). It is not a data source in itself. Whereas Google Analytics is a data source in itself.
What is the difference between Google Analytics And Google Analytics 360?
GA 360 is the paid version of Google Analytics which is meant for big companies that can afford to spend tens of thousands of dollars on an analytics tool(s). In the context of the GA premium, the free version of Google Analytics is called ‘Standard Google Analytics’.
What is the difference between Digital Analytics and Google Analytics?
Digital Analytics is a core skill. Google Analytics is just a tool used to implement digital analytics. You can also implement digital analytics via other tools like Adobe Analytics, Kissmetrics, etc. You learn data analysis and interpretation from digital analytics and not from Google Analytics. You learn to set up KPIs, strategies and measurement frameworks for your business from digital analytics and not from Google Analytics.
What is the Google Analytics Individual Qualification (GAIQ) Exam?
Google Analytics Individual Qualification (or Google Analytics IQ or GAIQ) is an exam conducted by Google to test your knowledge of Digital Analytics and Google Analytics platform. Once you pass this exam, you get a certificate from Google through which you can demonstrate your proficiency in Google Analytics to your client/employer
Get weekly practical tips on GA4 and/or BigQuery to accurately track and read your analytics data.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and BeyondSECOND EDITION OUT NOW!
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
About the Author
Himanshu Sharma
Founder, OptimizeSmart.com
Over 15 years of experience in digital analytics and marketing
Author of four best-selling books on digital analytics and conversion optimization
Nominated for Digital Analytics Association Awards for Excellence
Runs one of the most popular blogs in the world on digital analytics
Consultant to countless small and big businesses over the decade
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of all the cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
