Chat GPT and Use Cases: The Rise of AI Technology in Analytics

There have been many instances where businesses are now promoting and utilizing AI technology for analytical data use cases.

Photo courtesy of Rolf Van Root

Recently we have been seeing the rise of new AI technology and seeing how it has impacted many different industries. Chat GPT has been among one the more popular AI technologies that many people have been using. People are using Chat GPT to write their Instagram captions, school papers, or even business proposals. There are different opinions on whether or not we should be using Chat GPT. Many concerns are about the fear of technology taking over the human creative mind. While this is certainly a tangible argument and fear, there are a lot of positives to AI technology. Within business, AI technology can make things go faster and easier. 

In this article, we will be discussing and breaking down Chat GPT data analytics use cases. This will deepen your understanding of the AI technology used within business and analytics. 

Understanding the uses of Chat GPT

Before we begin examining how Chat GPT is used within analytics, there must be a solid grasp of what Chat GPT does. Chat GPT is an AI chatbot that was developed by Open AI. PC Guide describes it as “effectively it’s a simulated chatbot primarily designed for customer service; people use it for various other purposes too though. These range from writing essays to drafting business plans to generate code.” There are different types of “subscriptions” you can use when visiting the Chat GPT website. The AI is free to use but there is a possible option to use Chat GPT Pro which is rumored to have many more features and access to new technologies embedded within the program. The pro plan is said to cost $42.00 a month. Currently, there has been no public announcement from Open AI of this plan but many people have been speculating. 

Chat GPT relies on NLP (Natural Language Processing), which mimics a person's ability to process language. This tool is rather useful for researchers to understand how the technology is working and being used by its users. The entirety of it is interesting to people like you and me, mostly because it has become a big part of our lives. But just how can this technology be used ? 

How to begin using Chat GPT for analytics

  In order for anyone to begin using Chat GPT, you must create an account. When you visit the Chat GPT website or the Open AI website, there are banners on top of the screen that direct you to where you can sign up to be able to use Chat GPT. Once you have your account, you can begin to use it for analytical data and purposes. 

It’s important to ask the bot a series of practice questions so that you understand how to use it. It can be as easy or as complicated as you like. Get a feel for using the website because it’ll make it easier for you to transition into using it for analytical purposes. 

Examples of analytical conversations with Chat GPT

A classic example of how to start using Chat GPT is to ask it the question you’re asking yourself: how do I use Chat GPT as an analytics professional? These next few examples will be questions imputed by me and answers by the Chat GPT bot. 

There are many capabilities that Chat GPT offers. Photo courtesy of Emiliano Vittorios.

How do I use Chat GPT as an analytics professional?

Chat GPT:

As an analytics professional, you can use Chat GPT in several ways to assist in your work:

  1. Text Generation: You can use Chat GPT to generate new text based on a given prompt. For example, you can generate new product descriptions, social media posts, or marketing copy using Chat GPT. This can be helpful when you need to quickly create content for your business or when you're looking for inspiration.

  1. Sentiment Analysis: You can use Chat GPT to analyze the sentiment of customer reviews, social media posts, or other text-based data. Chat GPT can help you identify positive, negative, or neutral sentiments in text, which can help you better understand customer feedback and make data-driven decisions.

  1. Language Translation: You can use Chat GPT to translate text from one language to another. This can be useful when you're working with multilingual data or communicating with clients or partners in other countries.

  1. Chatbots: You can use Chat GPT to create chatbots that can answer customer questions or provide support. Chatbots can help you automate customer service tasks and free up time for other work.

  1. Data Analysis: You can use Chat GPT to analyze large amounts of text-based data, such as customer reviews or social media posts, to identify trends, insights, or patterns. Chat GPT can help you quickly analyze large volumes of data and provide insights that can inform your business decisions.

Overall, Chat GPT can be a powerful tool for analytics professionals. By leveraging its natural language processing capabilities, you can automate tasks, generate insights, and improve customer experiences.

What are the most important KPIs for an online makeup company?

The most important KPIs for an online makeup company will depend on the specific goals and objectives of the business. However, here are some common KPIs that online makeup companies may use:

  1. Sales: This is the most fundamental KPI for any e-commerce business, including an online makeup company. Tracking sales performance will help you understand how well your products are selling and identify areas where you may need to improve.

  1. Conversion rate: This measures the percentage of website visitors who make a purchase. A higher conversion rate indicates that your website is effective in persuading visitors to buy your products.

  1. Average order value (AOV): This metric measures the average amount that customers spend on each order. Tracking AOV can help you understand how much revenue you generate per transaction and identify opportunities to increase revenue by promoting higher-priced products or offering discounts on larger orders.

  1. Customer retention rate: This measures the percentage of customers who return to make a repeat purchase. A higher retention rate indicates that your products and customer service are meeting customers' needs and expectations.

  1. Customer lifetime value (CLV): This metric measures the total revenue a customer is expected to generate for your business over their lifetime. Tracking CLV can help you identify which customers are the most valuable to your business and allocate resources accordingly.

  1. Website traffic: This measures the number of visitors to your website. Tracking website traffic can help you understand how effective your marketing efforts are at driving traffic to your site.

  1. Social media engagement: This measures the level of engagement your brand is receiving on social media platforms, such as likes, comments, shares, and followers. Tracking social media engagement can help you understand how well your content resonates with your target audience and identify opportunities to improve.

Overall, these KPIs can help an online makeup company track its performance, identify areas for improvement, and make data-driven decisions to achieve its business goals.

You can adjust any questions to fit your specific needs. This is why AI and analytics becomes an essential tool for frameworks and outlines. Photo courtesy of Charles Deluvio.

How can I create a more user-friendly experience for my online customers?

Creating a more user-friendly experience for your online customers can help improve customer satisfaction, increase conversions, and drive revenue. Here are some tips to create a more user-friendly experience for your online customers:

  1. Simplify Navigation: Make it easy for customers to find what they're looking for by organizing your products and categories in a logical and easy-to-navigate manner. Use clear and concise labeling, and avoid cluttering your website with too many options.

  1. Optimize Your Site's Speed: A slow website can lead to frustration and lost customers. Ensure that your website is optimized for speed by compressing images, using a content delivery network (CDN), and minimizing the number of HTTP requests.

  1. Make it Mobile-Friendly: More and more customers are using their smartphones and tablets to browse and shop online. Make sure your website is optimized for mobile devices by using a responsive design that adjusts to different screen sizes.

  1. Streamline Checkout: Simplify the checkout process by removing unnecessary steps and fields, and allowing customers to checkout as guests without requiring them to create an account. Use progress indicators to show customers how far they are in the checkout process.

  1. Provide Clear Product Information: Provide customers with clear and detailed information about your products, including high-quality images, product descriptions, and customer reviews. This can help customers make informed purchase decisions.

  1. Offer Live Chat Support: Provide customers with the option to chat with a live customer support representative. This can help address any questions or concerns they may have in real-time, leading to a more positive customer experience.

  1. Personalize the Experience: Use customer data and preferences to personalize the shopping experience. For example, you can suggest related products or provide personalized product recommendations based on their browsing and purchase history.

Overall, creating a more user-friendly experience for your online customers requires a focus on simplicity, speed, and personalization. By implementing these tips, you can improve the customer experience, increase customer loyalty, and ultimately drive more revenue for your business.

Can you provide me with the mathematical formulas for the 3 metrics according to the most important KPIs for an online makeup company?

Yes, here are the mathematical formulas for three of the most important KPIs for an online makeup company:

  1. Sales: This measures the total amount of revenue generated by the online makeup company.

Formula: Sales = Units Sold * Average Selling Price, where Units Sold is the total number of products sold and Average Selling Price is the average price per unit.

  1. Conversion rate: This measures the percentage of website visitors who make a purchase.

Formula: Conversion Rate = (Number of Purchases / Number of Website Visitors) * 100, where Number of Purchases is the total number of purchases made and Number of Website Visitors is the total number of visitors to the website.

  1. Customer lifetime value (CLV): This measures the total revenue a customer is expected to generate for the business over their lifetime.

Formula: CLV = Average Purchase Value * Average Purchase Frequency * Customer Lifespan, where Average Purchase Value is the average amount spent per purchase, Average Purchase Frequency is the average number of purchases made per year, and Customer Lifespan is the average number of years a customer remains a customer.

Note that these are just examples of how these KPIs can be measured mathematically, and the actual formulas used may vary depending on the specific business and industry. Additionally, it's important to ensure that the data used to calculate these KPIs is accurate and consistent over time to ensure meaningful insights.

Will you use Chat GPT for your analytical data questions and problems?

Many of the examples above are generalized questions with generalized answers. It can serve as a basic framework for something that you can add and take away from later. It can point you in the right direction and allow you to use your time researching other components to add to the framework. Of course, many companies have chosen to use the traditional method of analytical data research. After reading this article and perhaps trying Chat GPT, what works better for your company and its users? Let us know how it goes! 

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