GPT-3 For Marketing: Use Cases

Artificial intelligence has come a long way, and is fully capable of plugging the gaps in your content strategy, from creating content indistinguishable from that written by a human to content ideation and outlining.

GPT-3 is one of the most popular and easily accessible tools for AI copywriting, content creation and content planning. Blog posts, social media posts, website pages, product descriptions, advertisement texts — all can be created in a matter of minutes using GPT-3.

What Is GPT-3 Marketing

GPT-3 is the largest language model in the world that relies on machine learning and deep learning to create human-like texts. Learning from a large array of text from all over the Internet, the model learns how text is structured and written, what words usually go together, which allows it to create comprehensive texts on any topic.

GPT-3 is a third version of the language prediction model made by OpenAI, and ChatGPT is a chat version of the model available to the general public.

For content creators and marketers, GPT-3 is a powerful tool for content generation, especially useful if you are looking to scale your content creation efforts without spending a lot of money on new employees. The two biggest selling points of using GPT-3 for marketing are:

• Speed: GPT-3 can create long blog posts, multiple social media posts, or create a comprehensive content plan in a few minutes

• Cost: Compared to hiring multiple employees, GPT-3 is much less expensive even if you choose to get a custom system system developed

How To Use GPT-3 For Marketing

AI has already transformed the way content is created, and has proven to be an ally for marketers There are multiple ways of introducing GPT-3 into your marketing efforts:

• Scale marketing efforts: It takes GPT-3 a very small time to generate a large, high quality piece content, which is one of the biggest benefits of GPT-3 for marketing. While human writers can be limited by many factors, AI can work around the clock creating content in a fraction of the time.

• Content personalization: The competition for the user’s attention has driven brands to personalize their content to create a connection with their potential clients. Personalization of email marketing, social media posts, and landing pages can be easily done by AI on a large scale.

• Generate content ideas: Content generation is only a part of what GPT-3 and other language models are capable of. GPT-3 can analyze your clients’ interests and opinions, study their pain points to generate new content ideas and create a data-driven content plan. AI can also measure engagement and take this data into account when suggesting content topics.

• Understand your customer better: AI is capable of analyzing large amounts of data and detecting patterns in it. GPT-3 can go through your clients’ social media posts and product reviews to determine customer sentiment that can help you understand your clients better and create better content with your customers in mind.

Benefits Of Using GPT-3 In Marketing

The Best Language Model So Far

GPT-3 is the most advanced language model available on the market. If you are looking to implement an AI language model into your marketing operations, GPT-3 is the best way to go about it.

Cost Effective

GPT-3 combines in it two factors that allow it to save you a lot of money on content generation. First, it creates human-like content that people cannot differentiate from those that are actually written by humans. Secondly, it does it in a matter of minutes. These factors combined is what makes GPT-3 extremely cost effective: it can automate the task of content creation in record time, freeing your employees’ time to do more creative tasks.

Versatility

GPT-3 can handle any of your content generation needs: from short Instagram captions to web pages and leaflets, the famous language model can handle it all. Apart from content generation, GPT-3 excels at data analysis and data extraction. You can feed GPT-3 any text, document or web page, and it can extract relevant and useful data.

SEO Optimization

GPT-3 can perform keyword research, analyze competitors’ content, and generate SEO-optimized content, pushing your website up on search results. It can also optimize your existing content to be more SEO-friendly.

Flexibility

GPT-3 has an API that can be integrated into custom software, existing software or a mobile app. The API is well documented and easy to work with, making it a perfect tool for those who want to integrate GPT-3 into their workflow seamlessly.

GPT-3 Use Cases

Instagram Captions Based on Photos

Modern digital marketing is a competitive field where marketers need to take advantage of any opportunity which might give them an edge on competition. Scaling of content production has become a huge task for marketers since the online positioning of a company is just as important, if not more so, than its offline presence.

Managing multiple social media accounts and websites can become very time consuming and tedious, while the importance of social media and its influence on sales grows every day. Social media content can be automated by using GPT-3, greatly reducing the time it takes to manage social media accounts.

Scaling of social media marketing efforts is one of the most relevant tasks for any digital marketing campaign, since post frequency and level of engagement are two of the most relevant factors when it comes to the success of the marketing campaign on any social media. Automatic generation of captions solves both of these problems. The texts are generated within seconds, while the texts themselves are created to maximize engagement.

A computer vision machine learning model is first used to detect objects present in the photo, after which GPT-3 is used to generate text along with appropriate hashtags and emojis.

The social media captions which are indistinguishable from those written by real users in tone and grammatical structure.

Marketing Text Generation Based On Customer Sentiment

Marketing a new product on a market oversaturated with products and ad campaigns is getting increasingly difficult. Companies struggle with ways to position their products to stand out among competitors, while the move to online selling platforms have added a new layer of work - creation of online marketing materials, like blog posts, ad campaigns, brochures, e-books, social media posts, and white papers.

One of the most important factors marketers need to take into account when positioning the product on the market is how it compares to competitors and what factors favorably distinguish the product. Another important part to determine is what problems are determining what paint points the product solves for the customer. Analyzing these factors is key to a successful marketing campaign.

GPT-3 can analyze product pages from major online marketplaces like Amazon, analyze customer reviews to extract what customers are saying about the product, and generate a product description page based on the customers’ needs and pain points. This information can then be used as the basis for any marketing content or as marketing content in itself in the form of a script for a promotional video or a social media post.

Extraction Of Customer Sentiment From Product Reviews

In the age of product marketplaces and steep competition, keeping an eye out for customer feedback is essential for marketing products. Since online shopping grew in popularity exponentially in the last couple of years, the competition within the online marketplaces has grown to the point where just putting the product online is not enough to achieve high sales. Product marketing now can give businesses a crucial advantage over their competitors, and a consumer-driven marketing campaign can significantly boost sales.

The customer feedback pulled from the reviews in a concise form can help create convincing marketing materials, like product descriptions and articles, as well as study competitors' weak points and conduct customer-based market research.

GPT-3 can be used to extract main features customers write about in their reviews on marketplaces, and group them by theme, as well as detect customer sentiments, i.e. determine if the feature is viewed as positive or negative.