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When it comes to A/B testing, it’s essential to choose the right tool to help you optimize your website and improve your conversion rate. This article will compare four popular A/B testing services:,, AB Rocket, and ABlyft.

Convert is an all-in-one optimization platform that offers A/B testing, personalization, and web analytics tools. It’s designed to help businesses increase conversion rates and maximize ROI. Some of the key features of include:

  • Visual Editor:’s visual editor allows you to create and edit your website’s pages and content without any coding knowledge.
  • Real-time Reports: provides real-time reports that allow you to monitor your website’s performance and make data-driven decisions.
  • Advanced Targeting: With, you can target specific segments of your audience based on their location, behavior, and other factors.

Pricing:’s pricing starts at $99 per month for the A/B testing plan.

Pros: offers a wide range of features, including personalization and web analytics tools. Its visual editor is easy to use and requires no coding knowledge.

Cons: can be expensive for smaller businesses. Its pricing may be a barrier for those just starting with A/B testing.


VWO is a popular A/B testing and conversion optimization platform that allows businesses to test different versions of their website or app to see which version performs better. VWO offers a variety of testing options, including A/B testing, multivariate testing, and split URL testing. Some of VWO’s key features include its drag-and-drop editor, heatmaps, and session recordings. VWO also integrates with various third-party tools like Google Analytics and Optimizely. VWO offers a free trial, with pricing starting at $199/month for the standard plan.


  • User-friendly interface
  • Robust reporting and analytics
  • Wide range of testing options
  • Integration with third-party tools


  • It can be expensive for small businesses
  • Limited customization options


AB Rocket (

AB Rocket is a newer A/B testing tool that offers a streamlined testing experience. AB Rocket’s key features include its simple interface and its focus on speed. AB Rocket also provides various testing options, including A/B testing, split URL testing, and multivariate testing. Pricing for AB Rocket starts at $29/month for the basic plan.


  • Affordable pricing
  • User-friendly interface
  • Multiple testing options
  • Fast and easy to set up


  • Limited integrations with third-party tools
  • Fewer features than some other A/B testing platforms


Ablyft (

Ablyft is another A/B testing platform that makes testing simple and easy. Some of Ablyft’s key features include its drag-and-drop editor and its focus on providing actionable insights. Ablyft offers a variety of testing options, including A/B testing and split URL testing. Ablyft also offers a free trial, with pricing starting at $49/month for the basic plan.


  • Affordable pricing
  • User-friendly interface
  • Actionable insights
  • Drag-and-drop editor


  • Limited customization options
  • Fewer features than some other A/B testing platforms


Overall, each A/B testing platform has its strengths and weaknesses. VWO is a robust platform with a wide range of testing options, but it can be expensive for smaller businesses. AB Rocket and Ablyft offer more affordable pricing options but may have fewer features than other A/B testing platforms. Ultimately, the right platform for you will depend on your specific needs and budget.

Google Analytics 4 (GA4) offers advanced tracking capabilities for web analytics. If you already have a GA4 tracking setup on your website and want to move towards a server-side tracking model, it’s important to take certain steps to ensure a smooth transition. In this article, we’ll discuss how to set up dual-tagging for GA4 tracking, which involves duplicating existing tags to collect data for both client-side and server-side hits.

  1. Set Up a New GA4 Property for Server-Side Dispatch. Setting up a new GA4 property for server-side dispatch is important if you plan to move towards server-side tracking. This allows you to copy existing tags one by one until you have a dual-tagged GA4 setup on your website.
  2. Use Dual-Tagging for Parity Between Client-Side and Server-Side Measurement. Dual-tagging means duplicating your existing tagging to collect data to a GA4 property for client-side hits and to a GA4 property for server-side hits. This allows you to ensure that your server-side measurement is at parity with your client-side measurement.
  3. Modify Tags to Collect to the Server. If you intend to move all data collection to your server container, you need to wait until your server-side measurement is at parity with your client-side measurement. At that point, you can modify your tags to collect to the server and remove your dual-tagging setup in the process.
  4. Consider a Hybrid Collection Approach. You can also choose to collect some data directly from the browser to vendors and have some pass through the server container. This type of hybrid collection is very common and can be a useful approach for many websites.

By following these steps, you can ensure a smooth transition toward server-side tracking while maintaining the integrity of your existing GA4 tracking setup.

Setting up a server Google Tag Manager container can seem daunting at first, but it is a crucial step in utilizing server-side tagging. This article will walk you through the steps to set up a new server container.

Before you begin, make sure you have a Tag Manager account, a web container or Google tag as a data source, and a Google Analytics 4 property. It is also recommended to have a subdomain for your server environment.

The automatic provisioning setup is the easiest way to deploy a server container. Open Google Tag Manager and create a new container, selecting “Server” as the container type. Click “Automatically provision tagging server,” choose or create a billing account, and Google will deploy a tagging server onto App Engine with a testing configuration. The Default URL will be automatically generated, which you can check to see if your server works.

If you want more control over the deployment, you can use scripted deployment or manual deployment options. The scripted deployment requires running a shell script, while manual deployment allows you to deploy the Docker image in any Docker environment that allows public HTTP access. Keep in mind that these options can get very involved and may incur additional costs.

In conclusion, setting up a server Google Tag Manager container may take some effort, but it is a necessary step in utilizing server-side tagging. With the automatic provisioning setup, you can easily deploy a tagging server onto App Engine with a testing configuration. However, you can use the scripted or manual deployment options if you want more control over the deployment.

Ranking your website on Google search can seem like a daunting task, but with the right strategy and effort, it is achievable. In this article, we’ll walk you through the steps involved in starting to rank your website on Google search.

Step 1: Identify Your Keywords. The first step in ranking your website on Google search is to identify the keywords that you want to rank for. These are the phrases that people are searching for when they’re looking for products or services that you offer. You can use Google’s Keyword Planner or other keyword research tools to find keywords that are relevant to your business and have a high search volume.

Step 2: Optimize Your Website. Once you have identified your keywords, the next step is to optimize your website. This involves ensuring that your website’s content, structure, and meta tags are all optimized for your target keywords. Some important on-page optimization elements include keyword-rich title tags, meta descriptions, and header tags.

Step 3: Build Quality Backlinks. Backlinks are links from other websites to your website. Google sees these links as a vote of confidence in your website’s content and quality. The more high-quality backlinks you have, the more likely you are to rank higher on Google search. You can build backlinks by creating high-quality content, guest posting on other websites, and participating in online forums and communities.

Step 4: Create High-Quality Content. Creating high-quality content is key to ranking your website on Google search. This includes blog posts, articles, videos, and other types of content that are informative, engaging, and relevant to your target audience. By creating high-quality content, you can attract more visitors to your website, which can help to boost your search engine rankings.

Step 5: Monitor and Analyze Your Results. Finally, monitoring and analyzing your search engine rankings and traffic is important. By tracking your progress, you can identify what’s working well and what’s not and make adjustments to your strategy as needed. You can use tools like Google Analytics and Google Search Console to track your website’s performance on Google search and gain insights into how to improve your rankings. As part of the SmartMetrics SEO audit, we offer access to premium SEO tools that you can use to monitor and track your and your competitor’s metrics. You can learn more about our SEO services here.

Google Tag Manager (GTM) is a powerful tool that allows website owners to manage and deploy marketing and analytics tags on their websites without having to modify the website’s code. In this article, we’ll walk you through the steps to set up a new GTM container and add it to your website.

Step 1: First, sign up for Google Tag Manager. If you already have a Google account, simply go to the GTM website and sign in using your Google credentials. If you don’t have a Google account, you’ll need to create one first.

Step 2: Create a New Container Once you’re signed in to GTM, the next step is to create a new container. Click on the “Create Container” button and give your container a name. Choose the container type as “Web” and select the relevant country where your website is hosted.

Step 3: Install GTM on Your Website After creating the container, you’ll be presented with a GTM installation code. Copy and paste this code into your website’s header section, just above the closing </head> tag. This will install GTM on your website.

Step 4: If you’re planning on working with SmartMetrics analytics experts, please share access to your newly created GTM container. To add SmartMetrics support to a Tag Manager account:

  • Click Admin.
  • In the Account column, select User Management.
  • Click +.
  • Select Add new users.
  • Enter email
  • Set Account Permissions as Administrator
  • Click Invite.

Server-side tagging is a powerful tool that can help improve user privacy, optimize performance, and improve data quality. Here are some of the key benefits of using server-side tagging:

Improving Privacy Controls: By controlling marketing data flow, you can ensure better user privacy and security. With server-side tagging, the data flows from the user to your server container, giving you control over HTTP requests before sending them to your marketing partners. You can validate, parse, anonymize, or even block HTTP requests to ensure privacy by acknowledging cookie consent and anonymizing user data.

Optimizing Client-Side Performance: Solid client-side performance is vital for any website that wants to compete for the user’s attention. With server-side tagging, the client needs to do less work. Instead of dispatching multiple almost identical requests to different vendors upon a conversion event, only a single stream of data needs to be sent to the server container. Similarly, the amount of JavaScript libraries that need to be loaded in the client is greatly reduced.

Improving Data Quality: By moving data processing away from the client and into the server, you can leverage mechanisms to improve data quality. For example, moving to first-party context with the data flowing from the user’s browser means that browser cookies can be set with the HttpOnly flag, making them more durable and more secure. Additionally, server-side processes can enrich the data with information that should not be exposed to the browser, including API secrets, business-sensitive data, and user data.

By taking advantage of the custom templates used in the server-side tagging environment, you can normalize the data collected and processed by the server without relying on outdated and potentially dangerous third-party JavaScript.

You’ve probably heard of website tagging if you’re part of a marketing or analytics team. This process involves adding code snippets to your website or app to gather data for measurement by a marketing team or partner. Previously, the only option available was client-side tagging, executing tags on the user’s device. However, with server-side tagging, the tags are executed on a server instead.

Server-side tagging doesn’t replace client-side tagging but provides an additional layer of control between the user and marketing vendors. This results in improved page speed, more restrictive content security policies, improved privacy, and more secure and durable cookies.

A server container is a JavaScript application that runs on Node.js, while a web container runs in the browser. The former digests HTTP requests, utilizes sandboxed JavaScript, and is costlier to maintain, while the latter uses the dataLayer, can deploy HTML tags and is cost-free.

Regarding server-side tagging, the tags must be placed in a Tag Manager server container. The container works with a Tag Manager web container or the gtag.js library to collect data from the web browser and dispatch it to the server-side tagging environment.

A client is a Tag Manager resource only available in server containers. It parses incoming HTTP requests to generate event data objects for tags to utilize. The triggers in a server container are related to the event data object, and not all clients generate event data objects. Variables in a server container usually reference items in the event data object.

While server-side tagging is excellent for controlling data, some tags still need to run in the browser or app to collect data about user interactions on a web page. For this, you must place the GA4 Configuration tag in the web browser to dispatch information to the server-side tagging endpoint. Similarly, you need to place a GA4 Event tag in the Tag Manager web container to collect custom events related to website interactions.

In summary, server-side tagging provides a layer of control for data collected by marketing vendors. It complements client-side tagging and is executed on a server using a Tag Manager server container. While some tags still need to run in the browser or app, server-side tagging provides benefits such as improved page speed, content security policies, privacy, and secure cookies.

As a developer, you probably know how important it is to write descriptive and informative commit messages when working with version control systems like Git. However, coming up with a good commit message can sometimes be challenging, especially when working on a large codebase or waiting for time. What if there was a way to automate this process and have a tool generate commit messages for you? Try the AI Commits package, which writes your Git commit messages for you, powered by ChatGPT.

With AI Commits, you can say goodbye to the tedious task of writing commit messages and let ChatGPT do the work for you. The process is simple: after making changes to the codebase, instead of writing a commit message yourself, you run the CLI, which prompts you with a few questions about your changes. Once you provide your answers, ChatGPT generates a descriptive and informative commit message based on the context of your changes.

The benefits of using such a tool are numerous. For one, it saves time, freeing you to focus on more critical aspects of your work. Additionally, it ensures that your commit messages are consistently formatted and informative, improving the quality of your commit history. Of course, the quality of the generated commit messages will depend on the accuracy of the AI model powering this tool. However, with ChatGPT’s state-of-the-art natural language processing capabilities, you can expect high-quality and contextually relevant messages that accurately reflect the changes you’ve made.

In conclusion, AI Commits is a powerful tool that can save you time and improve the quality of your commit history. With ChatGPT’s advanced AI capabilities, you can trust that your generated commit messages will accurately reflect the changes you’ve made, allowing you to focus on what matters – writing great code.

The “Awesome ChatGPT Prompts” repository is a platform for exploring the capabilities of the ChatGPT model, which is a large language model developed by OpenAI. The model is designed to generate human-like text in response to a given prompt.

This repository is a collection of prompt examples that can be used with ChatGPT to generate coherent and diverse responses. It provides users with a wide range of prompts that can be used as inspiration for creating new ones. Additionally, the repository encourages users to add their own prompts to the list, creating an opportunity for collaborative learning.

To start using this repository, users need to clone it and use the prompts provided in the file as input for ChatGPT. The prompts can be used to test the model’s ability to generate text that continues the conversation or expands on the given prompt. The repository also encourages users to experiment with ChatGPT by generating new prompts using the provided examples as inspiration.

The “Awesome ChatGPT Prompts” repository is a useful resource for anyone interested in exploring the capabilities of the ChatGPT model. It provides a platform for collaborative learning and experimentation, allowing users to develop new ideas and expand the possibilities of this advanced language model.