Tricks and tweaks for Google Analytics and Google Tag Manager

Simo Ahava discusses data quality and the importance of a data-driven process and culture. He advocates for breaking down silos between teams by implementing a shared data layer and involving stakeholders from all teams in iterative development through a definition of done that incorporates data tracking requirements. Empowering developers to facilitate data collection and analysis, and hiring hybrid profiles with both business and technical skills can also improve data quality.

Google have release Google Analytics 4. The biggest differences in that Google Analytics 4 includes a new data model that changes the way data is collected, stored and filtered. Google has promised plenty of new features over coming months, but here some of the big new things you'll find in GA4. Read the full post at https://bit.ly/Google-Analytics-4

My talk from Digital Elite Day 2020 (Conversion Elite track). I go over the main changes in browser tracking protections since as early as 2003 (Safari version 1). Then I discuss the impact these tracking protections have on digital analytics, advertising, and experimentation.

The document discusses upgrading from Google Analytics classic (analytics.js) tag to the new Google Analytics 4 (gtag.js) tag. It highlights benefits like future-proof conversion measurement, codeless tag management, and faster integration with other Google products. It then provides a quick overview of key differences between Universal Analytics and GA4 like combining app and web data, new data model, and moving to a cookieless approach. It recommends actions for users to start using GA4 like adding the configuration tag, enabling enhanced measurement, and planning custom event tracking.

Google Analytics with an Intro to Google Tag Manager for Austin WordPress Meetup. This was an intermediate session where we took a deeper look into Google Analytics. We also introduced Google Tag Manager as a better way to run tracking code on a website.

The document discusses Firebase Analytics, a tool for capturing user data across an app stack. It automatically captures events like app opens and purchases. Developers can choose from predefined events or customize their own. The data is then accessible in Firebase's dashboard for analyzing metrics like active users, revenue, and retention. Firebase Analytics seamlessly integrates with other Firebase tools to build audiences and send tailored notifications. It aims to help developers better understand users and improve the app experience at each stage of the user journey.

This document provides an overview of getting started with analytics. It includes recommendations to install Google Tag Manager and Google Analytics to properly track data. It also suggests defining marketing funnels and using UTM codes to track marketing campaigns. A checklist is proposed to use templates for analytics inquiries. Resources are shared on the digital marketing measurement model, startup analytics pyramids, and the official Analytics developer documentation.

A brief introduction to Google Analytics for Beginners from Global Media Insight. Learn more about the website analytics, basic terms, concepts and reports in Google Analytics from this presentation made in Dubai, UAE.

From the SMX West Conference in San Jose, California, March 21-23, 2017. SESSION: How To Use Event Tracking To Improve Marketing Performance. PRESENTATION: Let's Start Using Event Tracking For More Than Email Clicks - Given by Joe Martinez, @MilwaukeePPC - Granular, Senior Manager, Paid Media & Community. #SMX #22C2

1) The document discusses Google's Hummingbird update and Secure Search, which encrypts all search activity. It emphasizes the importance of quality content that is frequent, fresh, and unique. 2) It recommends focusing content strategies on keywords, updating stale content, and using techniques like FAQs, Google Authorship, and Publisher Markup to demonstrate content ownership. 3) While SEO reporting may change with Secure Search hiding keywords, the key factors of tracking revenue from organic search, focusing on content, and using multi-touch attribution remain the same.

The document provides an overview of getting started with Google Analytics. It discusses the history of Google Analytics and its acquisition of Urchin. It outlines what is needed to create a Google Analytics account including a Google account, website, and website code access. It then guides the reader through setting up a Google Analytics account, configuring tracking and profile settings, setting up goals and filters, and controlling user access. Resources for additional help are also provided.

While content is essential to many agencies, creating an efficient content production system can be challenging—so let us show you how. In this presentation, Seeker founder, Gareth Simpson, demonstrates how to scale your content marketing efforts by using smart systems and automation. By taking a process-driven approach, you can scale your creative output and keep creatives happy. It’s a win-win.

This document discusses hidden quirks, misleading metrics, and tips/tricks related to using Google Analytics. Some key points covered include: - The definition of a "session" in Google Analytics is arbitrary and can misrepresent how users actually interact with a site. - Metrics like "average time on page" and "bounce rate" are misleading since they are averages that obscure individual session behaviors. - Attributes like landing pages and sources/mediums are not always accurate in Google Analytics due to technical issues. - There are ways to potentially sabotage or falsify a site's analytics data if an attacker knows the tracking ID. - Workarounds and advanced features exist but are not

Michael Fridmans's presentation from the Google Analytics User Conference in Sydney and Melbourne in 2013. The presentation covers tips and techniques for getting your analysis noticed by managers and HiPPOS.

Intent-Based Analytics with Google Analytics and Google Tag Manager. Map google funnel with the marketing funnel. Learn how to track visitor intent through GA and GTM

1) The document discusses various ways to integrate Google Analytics data with other data sources. It describes using custom dimensions and metrics, data import, and measurement protocol to bring external data into Google Analytics. 2) Methods for extracting data from Google Analytics include reporting APIs and BigQuery, which allow querying aggregated Analytics data. 3) The goal is to connect web data from Google Analytics to other sources of data like CRM systems in order to provide a more complete view of customers and marketing performance. This can help illuminate the relationship between marketing, user behavior, and ROI.

This material was presented at the Google Analytics Master Classes in Singapore and Kuala Lumpur on March 9 & 11 respectively. Vinoaj Vijeyakumaar's session covers a case study from Amari Hotels about using GA funnel visualization reports to increase site conversions.

Google Tag Manager is an incredibly powerful tool and one you're likely not using to its full potential. In my talk from MozCon 2016, I delivered 29 rapid-fire tips intended to empower marketers to overcome the insurmountable odds and circumnavigate road blocks using this incredibly powerful marketing tool.

Here's the slides from my MeasureCamp presentation on Google Tag Manager, the data layer, and the tool-specific data model. Here's an accompanying blog post as well: http://www.simoahava.com/analytics/google-tag-manager-data-model/

My slides from the Searchlove Boston conference in May 2016. The presentation covers actionable tips and tricks for working with Google Tag Manager and Google Analytics.

This document provides an overview of Google Tag Manager (GTM): - GTM is a tag management system that allows marketing teams to manage JavaScript tags that integrate third-party software onto websites. It replaces individual tags with a single container tag that arranges and fires tags based on business rules. - The document demonstrates how to set up basic Google Analytics and Criteo tracking using GTM, including creating tags, variables, and triggers. - It also discusses enhancing GTM implementation with a data layer, which is a JavaScript object that passes information to GTM tags, such as product labels and click events.

The document discusses how weather data can be collected from website visitors and analyzed. It describes a system that uses a weather API to determine the weather based on a visitor's IP address, then tracks metrics like sessions, revenue and average order value according to the weather type. Implementation details are provided, such as using Google Tag Manager and storing the weather data in a custom dimension for analysis in Google Analytics. Some caveats of the system are also mentioned, such as it only capturing the current weather for a visitor's location.

Slides from my first talk at SMX München on March 17, 2015. The talk was about inspiring a critical approach to the metrics and dimensions we access through tools like Google Analytics. Sometimes we have to tweak the data collection mechanism to get more relevant results in our tools. In fact, I want to say that the quality of data in these platforms is directly proportional to your understanding of how the data is collected and aggregated. So be critical! Make the most of the metrics and dimensions, and ensure that the data you're using to grow your business is relevant.

The document discusses tag management systems and how they operate in the stateless web environment. It notes that TMS inject JavaScript and act as message buses to update data models. While TMS were originally developed for non-technical marketers, they now serve both marketing and technical functions, including injecting tags and metadata, fixing code errors, and loading libraries. The document cautions against using TMS to fix underlying website issues and recommends proper integration with backend systems.

Here's my list of 10 JavaScript (related) concepts that I think all web analysts should understand at least on a basic level. A solid grasp of JavaScript is a base requirement for anyone working with the web browser.

This document contains questions and answers about configuring and using Google Tag Manager. It covers topics like how Tag Manager can help manage website tags, when tags should fire, setting up triggers, using built-in and custom variables, and setting up tags for Google Analytics tracking and Google Ads conversions/remarketing. The assessments contain multiple choice questions testing understanding of Tag Manager fundamentals, implementing the data layer, and using Tag Manager for analytics and advertising integrations like dynamic remarketing.

Der Vortrag "Google Tag Manager Advanced" auf der SEOCampixx 2016 von Jan Berens und Thomas Czernik.

My slides from the Emerce Conversion 2015 conference. Here's a nice method of reconfiguring a data collection platform such as Google Analytics so it gives you best possible data for YOUR business alone.

Google Tag Manager allows you to manage tracking tags through a single snippet of code and a web interface, rather than having to directly code each tag individually. It uses tags to send data to third parties, triggers to determine when tags should fire based on conditions, and variables to customize tag values. The document provides examples of how to use GTM to track Google Analytics events for an ecommerce funnel, integrate Intercom on a landing page only, and track Google Adwords conversions. Resources for learning more about GTM are also listed.

This document provides an overview and training on using Universal Analytics and Google Tag Manager (GTM). It discusses setting up tracking in UA using GTM, including tags, rules, macros and sample tag implementations. It emphasizes that building a strategic "smart data layer" based on business objectives and questions leads to better decisions. Specifically, it recommends dividing unique purchases by unique pageviews to measure conversion rates, and capturing profit metrics using server-side tagging to provide more actionable analytics.

圖靈數位於2016年6月29日晚上於web analytics101 聚會分享，主題主講 Google tag manager 代碼管理工具介紹與應用。 版權屬圖靈數位所有，如要轉載請事前告知，謝謝

Google Analytics Google Tag Manager GA goal setting Button-click tracking (event tracking)

Slides from my talk at MeasureCamp VII (London) in September 2015. Some key findings about Data Layers and how they are integrated with tag management solutions and organisations.

The slides from my talk at GPeC Summit, Romania, on 11 May 2015. I introduce the Enhanced Ecommerce reports for Google Analytics, but before I do, I outline my ideology for using Enhanced Ecommerce. It's not just a flashy set of reports, it's an optimization tool and a hypothesis machine. I'm less interested in successful transactions and more in things like abandonment and lack of engagement. Enhanced Ecommerce lets us expand the somewhat broken concept of a session-based conversion rate, and granularly investigate its components and particles. This way we can analyze not only transactions, visits, and visitors, but the products themselves, too.

This document provides an introduction and overview of Google Tag Manager. It begins by explaining why companies use GTM, noting that it allows tags to be added and managed without developer resources. It then reviews the basic user interface and components of GTM including accounts, containers, tags, triggers, variables and versions. Specific details are given about what each component represents and how they work together. The document concludes by giving a example of how to set up tracking of banner clicks with GTM.

This document summarizes a presentation about Google Tag Manager for beginners. The presentation covers introducing Google Tag Manager and what it is used for. It then discusses setting up a basic Google Analytics tracking implementation using Google Tag Manager, including creating a container, tag, and rule. Finally, it discusses enhancing the implementation with a data layer, including defining macros to map to tags and using the data layer to trigger tags on interactions.

This document discusses how to set up A/B tests using Google Tag Manager. It explains two ground rules for A/B testing: 1) visitors are randomly assigned to variations, and 2) visitors stay in the same condition. Commercial tools like Optimizely and VWO are mentioned as doing fancy GUIs and ugly code well. The document then discusses replicating A/B test logic in GTM by assigning visitors randomly to conditions A or B, storing this in a cookie, and loading the proper code variation. It provides details on configuring the test, assigning visitors, using cookies, and triggering events and analytics. The goal is to allow setting up A/B tests for free using GTM's functionality.

This document outlines tactics for optimizing mobile app tracking presented in a webinar by Tatvic. The webinar covered implementing Google Analytics for mobile apps using the native SDK or Google Tag Manager, setting up campaign tracking with utm parameters, tracking app uninstalls, and integrating Google Analytics with Google Play Store analytics. Key points included benefits of tracking campaigns, uninstalls, and Play Store data, as well as considerations for proper implementation like setting up the data layer, user IDs, events, and dimensions.

Know which marketing channel is your best performer and how to better diversify your marketing spend across various channels through cross channel tracking with the help of Google Analytics. Join Ravi, the co-founder of Tatvic Analytics and make the most of what cross channel tracking can do for an integrated marketing approach.

Basecamp – is a project management tool. This is simple and easy to understand presentation. Try to learn new tool today! .

This document summarizes a webinar about analyzing Google Analytics data with R. The webinar covered an introduction to R, why use R for Google Analytics data, getting started with R and the Google Analytics API, and provided three examples of real-life applications including predicting product revenue, assessing marketing campaign value over time, and creating visualizations with ggplot2. Speakers included Kushan Shah from Tatvic and Andy Granowitz from Google Analytics.

Google Analytics is one of the most valuable sources of information we can have to identify SEO opportunities, make decisions and optimize the sites we work for. However, we don’t generally use it to drive SEO benefit. In this webinar, Alexander Holl (CEO of 121WATT & Leader of German Advisory Board, SMX Munich), will show you how to use Google Analytics to drive SEO Benefit. You’ll learn: * Why use Organic Search Sources Feature of Universal Analytics? * How to Improve the data quality by detecting Spam Referrals & Bots * How to use 404 Reports to Detect Lost Link Opportunities * Reporting & Analyzing Google Panda ... plus, much more!

Check out this presentation by Marketo's Mike Tomita to discover how to leverage your website data and build better relationships with your customers!

Now JavaScript is becoming handled better and better by search engines the opportunities for web design & development are really beginning to grow. More than that, however, is that SEOs may be able to benefit from using JavaScript when optimising their content. In this presentation, Chris Green shows you the Do's and Don'ts of JavaScript Content optimisation.

DevOps Drivent Development is my experiment to find the way to improve technical practice and process in your company to get better product delivery by make DevOps focus on doing DevOps then improve and scale it

The document appears to be a series of tweets from a Hootsuite account promoting an event called #pitchtour on the crowdfunding platform Indiegogo. The tweets target different locations and audiences around the world, encouraging entrepreneurs and businesses to build their brand, launch products, and increase sales by exhibiting on #pitchtour. The tweets provide links to the Indiegogo campaign page and are translated into various languages to reach a global audience.

This document discusses analytics and how to set up analytics tracking for marketing purposes. It recommends creating a detailed tracking plan that outlines the key events and pages to track, how to identify individual users, and defining important funnel events. The plan should include why each data point is important, how the data will be collected, and when tracking will occur. Proper formatting and consistency is also advised to make the tracking plan useful over time. The document provides examples of tracking plans for common events like sign ups, referrals and important pages. It also discusses how analytics can help segment users and measure marketing channel effectiveness.

Check out this on-demand digital marketing bootcamp with Marketo's Michael Berger for a deep dive into marketing automation and the tools you'll need to make the evaluation process easier!

Learn how you can apply data science and big data analytics methodologies to digital marketing to improve marketing performance, predict campaign success, customer churn, and content popularity.

An Intranet strategy driving behaviour through technological change. Presented by Christine Rübner Hultmann, COWI at Intranätverk 2015: Gothenburg, 21 May. A presentation about the challenges for the COWIportal today and how the strategy can create value in the line of business by a new portal frontpage concept and an efficient portal process site concept for business support by centralizing and standardizing the services.

Revisit the slides form the talk given by Agata Adamiak at MeasureFest 2023 - the Fringe event which is a part of brightonSEO. Is your team still missing Universal Analytics? In this talk, Agata showed a series of tools you can create to get your team excited about using Google Analytics 4. This is how you inspire regular marketers to find insights in GA4. Agata Adamiak runs Business Ahead, a Google Analytics consultancy specialising in governance and process optimisation. In her 10+ year digital marketing career she’s worked at well-established companies like Brother, Assurant and the Post Office. She now regularly partners with international growing companies to achieve higher profitability from their websites. Her approach is to introduce new ways for regular marketers to find valuable insights in Google Analytics. In her MeasureFest 2023 talk, she shared the exact framework she uses to empower global companies to become data-driven with the help of Google Analytics 4.

El evento de la comunidad Magento. 28 octubre 2019, Madrid. Teatro Goya. Organizado por @interactiv4 http://Meet-magento.es.

The document discusses Agile software engineering practices that help deliver business value, including practices like test-driven development, evolutionary design, refactoring, continuous integration and delivery. It provides an overview of an Agile development process involving planning, refinement, review, and retrospective meetings each week. Various Agile tools and techniques are also mentioned such as backlog decomposition, acceptance criteria, pair programming, code review, test automation, and frequent releases. The goal of these practices is to lower costs and time to market while increasing value, quality, flexibility, and visibility delivered to the business.

Speaker: Matt Harasymczuk Language: Polish Agile to nie tylko Scrum, Kanban i Lean. To również praktyki takie jak Continuous Integration, Delivery i Deployment, TDD, BDD, Code Review i Pair Programming. To techniki, które wspierają dowożenie wartości biznesowych i wytwarzanie oprogramowania szytego na miarę. Jak dobrać odpowiednie narzędzia aby zwiększyć efektywność naszego developmentu? - Jak obniżyć "time to market"? - Jak zwiększyć "value to market"? - Jak zwiększyć "quality to market"? - Jak zwiększyć elastyczność rozwiązania? - Jak zwiększyć zasięg widoczności oprogramowania? - Jak obiżyć koszt? - Jak zwiększyć czas żywotności software? To są tematy, o których chciałbym opowiedzieć na wykładzie. 4Developers: http://4developers.org.pl/pl/

The document is a presentation by Ellen Gomes on how to improve content creation. It provides 7 tips for creating winning content: 1) identify your audience, 2) define your goals, 3) invest wisely in different content types like guides, ebooks and blogs, 4) work smarter, 5) practice safe experimentation, 6) make content creation a habit, and 7) continue learning from industry leaders and competitors. The presentation encourages tracking key metrics to improve content over time.

Every day, millions of advertising campaigns are happening around the world. As campaign owners, measuring the ongoing campaign effectiveness (e.g “how many distinct users saw my online ad VS how many distinct users saw my online ad, clicked it and purchased my product?”) is super important. However, this task (often referred to as “funnel analysis”) is not an easy task, especially if the chronological order of events matters. One way to mitigate this challenge is combining Apache Druid and Apache DataSketches, to provide fast analytics on large volumes of data. However, while that combination can answer some of these questions, it still can’t answer the question “how many distinct users viewed the brand’s homepage FIRST and THEN viewed product X page?” In this talk, we will discuss how we combine Spark, Druid and DataSketches to answer such questions at scale.

A global invitation to celebrate the exhibition industry, highlighting its impact on the economy, jobs, business, innovation and local investment.

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