10 AI Tools for Google Analytics

AI Tools for Google Analytics are software programs that use artificial intelligence to perform a variety of tasks. These tools help improve operations, provide insights based on data, and automate repetitive tasks. AI is widely used in many fields such as banking and healthcare because it can make existing processes more efficient through machine learning and natural language processing.

10 AI Tools for Google Analytics

AI-powered tools for Google Analytics can automate many tasks that used to take hours. They can identify trends, predict outcomes, and even suggest changes to improve your website’s performance. By using these tools, you can gain deeper insights into your audience and how they interact with your site. In this article, we will explore 10 of the best AI tools for Google Analytics.

1. Tableau

Tableau is a powerful tool among the top 10 AI tools for Google Analytics. It’s great because you don’t need to know programming to use it. With just a few easy commands, you can analyze your data. Creating reports is simple, and you can send them to many people at once. The way Tableau presents information is very clear and straightforward, making it easy for anyone to understand the data.

Features

• Creating and sharing reports with others is a simple process.
• The data presentation language is really clear and easy to understand.
• It includes an automated job management system.

Pros	Cons
It is also usable by others with less technological expertise. Its algorithm does the automatic data cleansing and modification. The presentation of data is clear and understandable.	Some advanced features may need high technological knowledge. Costs for professional plans are expensive. It has steep learning curve.

Pricing

• Free version
• 70$ per month

Link: https://www.tableau.com/

2. ChatGPT

One of the best free AI tools for Google Analytics is ChatGPT. It uses existing data to find useful patterns. Besides analyzing data, ChatGPT also comes up with solutions to problems. This makes it a helpful tool for anyone looking to get more insights from their Google Analytics data.

Features

• ChatGPT searches the database for patterns and trends.
• It can forecast the future by applying regression analysis and statistical techniques.
• In order to carry out the commands, it learns the user’s basic everyday language.

Pros	Cons
ChatGPT improves a user’s capacity to make decisions. All it takes to analyze data is a simple set of English questions. It can understand user’s everyday language.	Users must use particular caution to protect the privacy of their data. Occasionally, the outcomes it produces might not always be really relevant. It lacks few of the advance features required for analytics.

Pricing

• ChatGPT 3.5 – Free
• ChatGPT 4 – $20 per month

Link: https://chat.openai.com/

3. Polymer

Polymer stands out in this list of AI tools because of its unique features. It’s often used to change pictures and make dashboards using Google Sheets and Excel. This makes it a special addition for anyone using Google Analytics to understand and visualize their data better.

Features

• A library called Polymer allows web components to be created using capabilities like encapsulation, data binding, and templating all in one package.
• A formal language for defining custom elements and their behaviors is offered by Polymer.
• JavaScript, HTML, and CSS can be easily packed into reusable components with Polymer.

Pros	Cons
It is easily usable by those without much technology knowledge. It produces elegant dashboards. Strong two-way data linking provided by Polymer makes it possible for data models and views to synchronize effectively.	Too few features make it unsuitable for professional use. All data that Polymer can process is spreadsheet-based. It has steep learning curve.

Pricing

• Free trial
• Starter plan at $50.
• Pro plan at $100.
• Team plan at $250.

Link: https://www.polymersearch.com/

4. MonkeyLearn

AI tools for Google Analytics, such as Monkeylearn, can understand text and assist in organizing a given database. Some of its more advanced features include sentiment analysis, classification, and chart creation.

Features

• It is capable of analyzing a wide range of data, including transcripts, graphics, and texts.
• It is able to comprehend the sentiment by analyzing the textual data.
• It can adjust the dataset to the user’s specifications.

Pros	Cons
This is a special AI tool for Google Analytics because it works incredibly well for understanding unstructured data. The sentiment analysis and sorting are expertly handled by MonkeyLearn. It has user friendly interface.	It requires great technological understanding. Users must use extreme caution since text analysis may give rise to privacy issues. It is expensive for limited features.

Pricing:

• $299 for organisations.

Link: https://monkeylearn.com/

5. Microsoft PowerBI

Microsoft PowerBI is an AI tool for google analytics. Its capabilities and user interface make it one of the top AI tool for google analytics.It’s a powerful tool that helps you turn your scattered data into clear, easy-to-understand visuals, like charts and graphs.

Features

• Through data analysis, many charts with improved visuals are created.
• All file types can be processed by Microsoft PowerBI.
• Data for the future is predicted via an Azure Machine Learning capability.

Pros	Cons
For organizations, this software is beneficial. This software makes it possible to efficiently edit and visualize data. It has user friendly interface.	Inexperienced people could struggle greatly without the right information. Additional knowledge may be needed for advanced functionalities. It has data connectivity limitations.

Pricing

• Free plan.
• Pro plan – $10 per month.
• Premium plan – $20 per month.

Link: https://www.microsoft.com/en-us/power-platform/products/power-bi

6. Sisense

Sisense is considered one of the best AI tools for Google Analytics because it’s easy for developers to use and has a simple drop-down interface. Sisense uses advanced AI and natural language processing to solve problems in Google Analytics. This makes it a great choice for anyone looking to get more out of their data with less effort.

Features

• It doesn’t call for extensive programming expertise.
• Among users, a unique drop-down interface is well-known.
• Natural language processing is capable of processing common language questions.

Pros	Cons
It offers effective choices for the google analytics People with little experience with code can benefit from Sisense’s no-code functionality. It provides single stack solutions	Beginners could encounter difficulties when using it. It has highly complex advanced features. It has customization limitations

Pricing

• $65 per month.

Link: https://www.sisense.com/

7. Akkio

Akkio is a leading AI tool that works great with Google Analytics. It’s really good at making predictions for large sets of data by only looking at smaller ones. This means it can help you understand big trends from just a little information. Plus, Akkio is user-friendly for everyone, whether you have a technical background or not. This makes it a handy tool for anyone wanting to get more insights from their Google Analytics data.

Features

• It can analyze a database to produce patterns for the future.
• You don’t need to be technical to produce reports with different kinds of diagrams.
• When it comes to producing marketing and sales reports, Akkio is extremely effective.

Pros	Cons
Beginners may pick up this AI tool for Google analytics with simple. It takes very little time to generate reports from a database. It is a no code plateform	Sometimes, the prediction it makes might not be correct. There are no advanced options for large-scale analysis. It has steep learning curve

Pricing

• Varies from $49/month to $1999/month

Link: https://www.akkio.com/

8. Google Looker

Google Looker is a part of Google Cloud that helps with analysis. It’s easy to use right from your browser. This tool provides handy features for Google Analytics, making it simpler to handle and understand your data. With Google Looker, you can access powerful analytics capabilities to enhance your Google Analytics experience.

Features

• It facilitates the analysis and study of data.
• To handle big databases, it has a cloud-based database administration system.
• Integrated analytics can be used by Google Looker to construct applications.

Pros	Cons
Its cloud-based processing is highly scalable and reliable It is one of the AI tools for Google analytics that doesn’t require device storage for executing the analysis. It has powerful data visualization	Because reports are not created automatically, a great deal of manual labor is required. Users must complete difficult processes in order to receive analysis. The customization features are limited

Pricing

• Free version

Link: https://cloud.google.com/looker?hl=en

9. Qlik Sense

For users at every level, Qlik is an extremely helpful AI tool for Google analytics. It offers a wide range of analytics and visual representation possibilities. Users don’t need to be highly technical to create interactive dashboards, reports, and visualizations because of its user-friendly interface and simple tools.

Features

• Qlik’s dashboard is highly interactive.
• It offers special capabilities for working as a team.
• It is well-known for beginners as well as professionals.

Pros	Cons
This AI application facilitates collaboration and opens up a positive path for professional teams. Even without highly developed technological abilities, it is accessible. It uses an associative data model, allowing users to explore data.	It may be tough for beginners to use. Some more features can be needed for more advanced knowledge. It is entirely dependent on internet connectivity.

Pricing

• Standard plan – $20/month.
• Premium plan – $270/month.

Link: https://www.qlik.com/us

10. Splunk

Splunk is a handy tool that works well with Google Analytics for managing and organizing data. It’s great at searching, watching, and analyzing information from many different sources. This is especially useful for businesses in areas like security and monitoring. Using Splunk can help companies make better decisions by providing clear insights into their data.

Features

• It collects data from several sources using a centralized data management system.
• A Splunk analysis can be completed quickly.
• This AI tool for google analytics makes it simple to address security-related issues.

Pros	Cons
It collected information from many sources. It is an analytical instrument that is prompt and efficiently It provides real time monitoring and alerting.	It is limited in what kinds of analyses it can perform. For best use, it requires specialization. Users may have concerns about data security.

Pricing

• $150 per month

Link: https://www.splunk.com/

Conclusion

Exploring AI tools for Google Analytics gives you many options, each with its own benefits. Tools like Tableau are easy to use, MonkeyLearn excels in analyzing text, and ChatGPT has impressive abilities that make analyzing data simpler.

The best tool for you depends on what you need for your work. It could be about the cost, how powerful the analysis is, or how easy the tool is to use. The main purpose of using these tools with Google Analytics is to help businesses of all sizes make smart decisions for their growth, not just to gather data.

10 AI Tools for Google Analytics – FAQs

Does Google Analytics have AI tools?

To sum up, Google Analytics 4 introduced powerful AI-driven features like predictive metrics and predictive audiences.

What does this new term “Introducing Google Analytics AI” mean?

Analytics Intelligence is a group of functionalities that applies machine learning to help you to extend your analysis of your data and also to become more effective in the development of an action plan.

What are AI-based methods in data analysis?

AI algorithms can discern the general patterns, correlations, anomalies, and trends by collecting the data. Using it manually for your data analyste needs a few days or weeks. What should never be forgotten is the existence of system bias which can either cause instability in supply or demand.