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How to Setup Google Analytics using Google Tag Manager?



Google Tag Manager 6d4d7b82

Do you want to set up Google Tag Manager? If you already have a Google account, Google Tag Manager (GTM) is very easy to create and install. Here, in this blog, you will get a brief knowledge of how to manage Google Tags with each option highlighted.

But before going further, let us know some basics about GTM:

Google Tag Manager is a free tool that allows you to manage and deploy marketing tags ( tracking pixels) on your website and a mobile app without modifying the code. In simple words, it is a way you can easily update measurement codes and related code fragments collectively on your website or mobile applications.

Google Tag Manger

Let’s consider the steps to install GTM (Google Tag Manager) today:

Step #1 Go To The GTM Account Page:

To get started, first create a GTM account. Go to the official website of Google Tag Manager“. And click on the main call-to-action to create a new Google Tag Manager account. If you already have on Gmail (Google Ads, Google Analytics, etc.), you will automatically log in to Google Tag Manager. Otherwise, you have to create a new account first.

Step #2 Create a GTM Account:

After logging in, you will be asked to create a new Google Tag Manager account. For this, follow the below process:

  • First, in tag manager, click on accounts and then create an account.

create account

  • Enter an account name and fill the other optionally indicate if you won’t share data with Google.

add account

  • After this, click on CONTINUE.

Step 3: Setup Your GTM Container

A container is where you will easily manage all your tags.

  • After clicking on the CONTINUE Create container page will appear.

Screenshot 12

  • Enter a descriptive container name with the name of your site (But make sure don’t use HTTPS:// or HTTPS://)
  • Select the type of content where the container will use Web, AMP, Android, or iOS.
  • Then click on “CREATE”.

Step 4: Accept the Data Processing Terms Required by GTM:

Here you have to read all the terms and conditions of the services agreement. Click “yes” by scroll down to the very bottom of the page and then click on the checkbox.

“I accept the Data Processing Terms As Required By GDPR, Learn More.”

Step 5: Open GTM Container:

In this step, click on your container’s name, which you create, and click on your GTM tracking code ID. Once you click, you would see the code for installing a tag manager.

Step 6: Install GTM:

Important consideration:

“Before moving further to the next steps, make sure that you audit the current tags installed in the code of your website, app, or AMP pages. Plus, create an analytics migration plan”.

To install the GTM, you have to copy (highlighted below) code and paste it within the <head> section of every page of your site. And click on the “ok” button. Here, you will see the GTM user interface. But, sometimes, not all vendor tags are currently supported by GTM, and for those that are not for this, you might want to check with the vendor’s technical support to make sure their tracking code works with GTM.

install code

Step 6: Analyze the Coverage of GTM Container Tracking Code:

Once you install the code, now it’s time to test that code is running on every page. Several tools that you can use for this process, but one of these is Google Tag Assistant Legacy. A free tool commonly used by several professionals to analyze small sites!

Congratulations! You have successfully installed your GTM Google Tag Manager!!

tag assistant legacy

How to Setup Google Analytics with Google Tag Manager

Once you are successfully entering the code snippet on your website, you will need to set a tag.

Start by clicking on the new tag. 

By clicking on the untitled field, you can rename the tag. Then click on the big icon where it says choose a tag type to start setup.

add new tag

Once you click, there are different types of tags that will appear on-page. You have to select “Google Analytics: Universal Analytics.”

choose universal analytics

Now, under Google Analytics settings, click on the dropdown menu and select a “NEW VARIABLE.”

add variable

Here, give a name to your variable and enter your Google Analytics “TRACKING ID” After that, click “SAVE” when you are done.

In the next step, you will have to set up a trigger. For this, click on the big icon where it says “choose a trigger to make this tag fire.”

choose trigger

Here select All Pages for basic Google analytic implementation and click on the Save button at the top.

Now, you are ready to publish your Google Analytics tag.

Screenshot 13

After that, you will have to submit a Newly Created Tag. For this, select tag from the left appearing options. Then select Google Analytics Tag and click on the submit button.

That’s all! You have successfully implemented Google Analytics with Google Tag Manager. And now, it will execute on every page. Now, all you will have to do is wait for a few hours for Google Analytics to collect your website’s data. Then, you can log in to your Google Analytics account and analyze or view your website’s reports.

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Exploring the Evolution of Language Translation: A Comparative Analysis of AI Chatbots and Google Translate




A Comparative Analysis of AI Chatbots and Google Translate

According to an article on PCMag, while Google Translate makes translating sentences into over 100 languages easy, regular users acknowledge that there’s still room for improvement.

In theory, large language models (LLMs) such as ChatGPT are expected to bring about a new era in language translation. These models consume vast amounts of text-based training data and real-time feedback from users worldwide, enabling them to quickly learn to generate coherent, human-like sentences in a wide range of languages.

However, despite the anticipation that ChatGPT would revolutionize translation, previous experiences have shown that such expectations are often inaccurate, posing challenges for translation accuracy. To put these claims to the test, PCMag conducted a blind test, asking fluent speakers of eight non-English languages to evaluate the translation results from various AI services.

The test compared ChatGPT (both the free and paid versions) to Google Translate, as well as to other competing chatbots such as Microsoft Copilot and Google Gemini. The evaluation involved comparing the translation quality for two test paragraphs across different languages, including Polish, French, Korean, Spanish, Arabic, Tagalog, and Amharic.

In the first test conducted in June 2023, participants consistently favored AI chatbots over Google Translate. ChatGPT, Google Bard (now Gemini), and Microsoft Bing outperformed Google Translate, with ChatGPT receiving the highest praise. ChatGPT demonstrated superior performance in converting colloquialisms, while Google Translate often provided literal translations that lacked cultural nuance.

For instance, ChatGPT accurately translated colloquial expressions like “blow off steam,” whereas Google Translate produced more literal translations that failed to resonate across cultures. Participants appreciated ChatGPT’s ability to maintain consistent levels of formality and its consideration of gender options in translations.

The success of AI chatbots like ChatGPT can be attributed to reinforcement learning with human feedback (RLHF), which allows these models to learn from human preferences and produce culturally appropriate translations, particularly for non-native speakers. However, it’s essential to note that while AI chatbots outperformed Google Translate, they still had limitations and occasional inaccuracies.

In a subsequent test, PCMag evaluated different versions of ChatGPT, including the free and paid versions, as well as language-specific AI agents from OpenAI’s GPTStore. The paid version of ChatGPT, known as ChatGPT Plus, consistently delivered the best translations across various languages. However, Google Translate also showed improvement, performing surprisingly well compared to previous tests.

Overall, while ChatGPT Plus emerged as the preferred choice for translation, Google Translate demonstrated notable improvement, challenging the notion that AI chatbots are always superior to traditional translation tools.


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Google Implements Stricter Guidelines for Mass Email Senders to Gmail Users



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Beginning in April, Gmail senders bombarding users with unwanted mass emails will encounter a surge in message rejections unless they comply with the freshly minted Gmail email sender protocols, Google cautions.

Fresh Guidelines for Dispatching Mass Emails to Gmail Inboxes In an elucidative piece featured on Forbes, it was highlighted that novel regulations are being ushered in to shield Gmail users from the deluge of unsolicited mass emails. Initially, there were reports surfacing about certain marketers receiving error notifications pertaining to messages dispatched to Gmail accounts. Nonetheless, a Google representative clarified that these specific errors, denoted as 550-5.7.56, weren’t novel but rather stemmed from existing authentication prerequisites.

Moreover, Google has verified that commencing from April, they will initiate “the rejection of a portion of non-compliant email traffic, progressively escalating the rejection rate over time.” Google elaborates that, for instance, if 75% of the traffic adheres to the new email sender authentication criteria, then a portion of the remaining non-conforming 25% will face rejection. The exact proportion remains undisclosed. Google does assert that the implementation of the new regulations will be executed in a “step-by-step fashion.”

This cautious and methodical strategy seems to have already kicked off, with transient errors affecting a “fraction of their non-compliant email traffic” coming into play this month. Additionally, Google stipulates that bulk senders will be granted until June 1 to integrate “one-click unsubscribe” in all commercial or promotional correspondence.

Exclusively Personal Gmail Accounts Subject to Rejection These alterations exclusively affect bulk emails dispatched to personal Gmail accounts. Entities sending out mass emails, specifically those transmitting a minimum of 5,000 messages daily to Gmail accounts, will be mandated to authenticate outgoing emails and “refrain from dispatching unsolicited emails.” The 5,000 message threshold is tabulated based on emails transmitted from the same principal domain, irrespective of the employment of subdomains. Once the threshold is met, the domain is categorized as a permanent bulk sender.

These guidelines do not extend to communications directed at Google Workspace accounts, although all senders, including those utilizing Google Workspace, are required to adhere to the updated criteria.

Augmented Security and Enhanced Oversight for Gmail Users A Google spokesperson emphasized that these requisites are being rolled out to “fortify sender-side security and augment user control over inbox contents even further.” For the recipient, this translates to heightened trust in the authenticity of the email sender, thus mitigating the risk of falling prey to phishing attempts, a tactic frequently exploited by malevolent entities capitalizing on authentication vulnerabilities. “If anything,” the spokesperson concludes, “meeting these stipulations should facilitate senders in reaching their intended recipients more efficiently, with reduced risks of spoofing and hijacking by malicious actors.”

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Google’s Next-Gen AI Chatbot, Gemini, Faces Delays: What to Expect When It Finally Launches




Google AI Chatbot Gemini

In an unexpected turn of events, Google has chosen to postpone the much-anticipated debut of its revolutionary generative AI model, Gemini. Initially poised to make waves this week, the unveiling has now been rescheduled for early next year, specifically in January.

Gemini is set to redefine the landscape of conversational AI, representing Google’s most potent endeavor in this domain to date. Positioned as a multimodal AI chatbot, Gemini boasts the capability to process diverse data types. This includes a unique proficiency in comprehending and generating text, images, and various content formats, even going so far as to create an entire website based on a combination of sketches and written descriptions.

Originally, Google had planned an elaborate series of launch events spanning California, New York, and Washington. Regrettably, these events have been canceled due to concerns about Gemini’s responsiveness to non-English prompts. According to anonymous sources cited by The Information, Google’s Chief Executive, Sundar Pichai, personally decided to postpone the launch, acknowledging the importance of global support as a key feature of Gemini’s capabilities.

Gemini is expected to surpass the renowned ChatGPT, powered by OpenAI’s GPT-4 model, and preliminary private tests have shown promising results. Fueled by significantly enhanced computing power, Gemini has outperformed GPT-4, particularly in FLOPS (Floating Point Operations Per Second), owing to its access to a multitude of high-end AI accelerators through the Google Cloud platform.

SemiAnalysis, a research firm affiliated with Substack Inc., expressed in an August blog post that Gemini appears poised to “blow OpenAI’s model out of the water.” The extensive compute power at Google’s disposal has evidently contributed to Gemini’s superior performance.

Google’s Vice President and Manager of Bard and Google Assistant, Sissie Hsiao, offered insights into Gemini’s capabilities, citing examples like generating novel images in response to specific requests, such as illustrating the steps to ice a three-layer cake.

While Google’s current generative AI offering, Bard, has showcased noteworthy accomplishments, it has struggled to achieve the same level of consumer awareness as ChatGPT. Gemini, with its unparalleled capabilities, is expected to be a game-changer, demonstrating impressive multimodal functionalities never seen before.

During the initial announcement at Google’s I/O developer conference in May, the company emphasized Gemini’s multimodal prowess and its developer-friendly nature. An application programming interface (API) is under development, allowing developers to seamlessly integrate Gemini into third-party applications.

As the world awaits the delayed unveiling of Gemini, the stakes are high, with Google aiming to revolutionize the AI landscape and solidify its position as a leader in generative artificial intelligence. The postponed launch only adds to the anticipation surrounding Gemini’s eventual debut in the coming year.

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