Businesses are constantly looking for ways to stand out and engage with their target audience. One of the tools in question to achieve this differentiation is language generation.
If you’re new to the language generation conversation, let’s start with a short overview.
Generative AI is a type of AI that creates new content like images, text, or audio based on what it has learned from existing data. It's like a computer version of a human artist or writer, creating new works from what it has learned from examples of existing works.
Advanced Language Generation (ALG AI) is a subset of generative AI that focuses on generating text, using advanced machine learning techniques, such as deep learning, to generate human-like text. This can include generating written content, such as news articles or social media posts, as well as speech, such as in virtual assistants and text-to-speech systems. ALG models can be fine-tuned to generate text in specific styles, formats, or languages, and can also be used to summarize or translate text.
A leading example is ChatGPT, a conversation-oriented system that responds like a chatbot in natural conversational language. According to Dr. Lance Eliot, a world-renowned expert on AI and ML shared in Forbes, “ChatGPT is a general-purpose AI interactive conversational-oriented system, essentially a seemingly innocuous general chatbot."
The possibilities of use seem endless, but of course require checking sources and validating responses. But, to have some fun, let’s look at applying this advanced language generation in seven marketing use cases.
One of the most obvious applications of ALG AI in marketing is content creation. Blog posts, social media posts, and email campaigns are all crucial components of a successful digital marketing strategy. However, creating high-quality, engaging content can be time-consuming and challenging. Advanced Language Generation can help generate the first draft of text that is both informative and captivating, but my recommendation is to always apply a human review to this type of content. According to a study by the Content Marketing Institute, 73% of B2B marketers and 70% of B2C marketers use content marketing to reach their target audience. Businesses can create more effective content in less time, which can help them achieve their marketing goals more efficiently.
Lead generation is another area of application. By integrating ALG AI with chatbots or virtual assistants, businesses can engage with potential customers and collect their contact information. This allows businesses to build a database of leads that they can nurture and convert into customers. According to a study by Hubspot, businesses that have a strong lead generation strategy can increase their customer base by 55%. Imagine personalized and engaging responses at scale and in real-time to drive improved lead generation and increased conversions.
Another key use case in marketing is product descriptions. A well-written product description can make a difference when it comes to driving sales and helping make your brand’s customer journey a smoother process. A tool like ChatGPT can generate detailed and compelling product descriptions that are optimized to increase conversions. According to a study by nosto, 64% of users return online purchases due to poor product descriptions.
In addition to these use cases, ALG AI can help with customer service inquiries. With the ability to understand natural language, it can provide accurate and helpful responses to common questions. This can help businesses improve their customer service efforts and increase customer satisfaction. According to a study by the Qualtrics XM institute, 89% of companies with customer experiences significantly above average led to financially outperforming their peers.
Amazingly, it could also be used for market research. With its ability to analyze large amounts of data, ALG AI could potentially help businesses identify market trends and customer needs. This information can then be used to inform marketing strategies and improve targeting efforts. According to a study by McKinsey, data-driven companies are 23 times more likely to acquire customers, 6 times as likely to retain customers, and 19 times as likely to be profitable as a result.
AI can also be used to generate persuasive ad copy for various platforms and media. Ad copy is a crucial part of any advertising campaign, and a well-written ad can significantly increase conversions and grab viewer’s attention. Consider ad copy that is tailored to target audience and optimized for conversions all while generating new versions based on the inputs you provide. Take, for example, a Mint Mobile ad written by Advanced Language Generation and read by the owner Ryan Reynolds. According to a case study by AdEspresso, using A/B testing on ad copy can cut costs by as much as 75%.
Last is training content development. I have a neighbor who’s been interested in creating a video series on advanced Excel skill sets. Within a day, with some tweaking and rewriting of some content, he had a full course with script in hand to record videos on advanced Excel skill sets.
AI has endless applications, but Advanced Language Generation is one of the coolest ones I’ve seen. It’s a powerful tool that can be used to revolutionize marketing strategies. From content creation to lead generation and product descriptions, it can help businesses achieve their marketing goals more efficiently and effectively. It may be worth dabbling in to create more effective content for testing, improve lead generation efforts, increase conversions, and improve customer service experiences.
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Note: This article was written with the assistance of ChatGPT, and ALG AI platform.