Natural language generation (NLG) is a type of artificial intelligence (AI) that allows computers to generate human-quality text. This technology has the potential to revolutionize the way marketers create and distribute content.
Here are some of the benefits of NLG for marketers:
- Increased content output: NLG can help marketers create more content, faster. This is because NLG can automatically generate text from data, without the need for human writers. This can be a huge time-saver for marketers, who can then focus on other tasks, such as developing marketing strategies and creating creative content.
- Improved content quality: NLG can help marketers improve the quality of their content. This is because NLG can use data to generate text that is more accurate, relevant, and engaging. This can help marketers attract more readers and improve their conversion rates.
- Personalized content: NLG can help marketers create personalized content for their customers. This is because NLG can use data to generate text that is tailored to the individual interests and needs of each customer. This can help marketers build stronger relationships with their customers and increase customer loyalty.
- Reduced costs: NLG can help marketers reduce their costs. This is because NLG can automate many of the tasks that are currently done by human writers. This can free up human resources to focus on other tasks, such as developing marketing strategies and creating creative content.
Overall, NLG is a powerful tool that can help marketers improve the quality, quantity, and personalization of their content. This can lead to increased engagement, conversion rates, and customer loyalty.
Here are some specific examples of how marketers are using NLG:
- The Associated Press: The Associated Press uses NLG to generate earnings reports, which are then published on their website and distributed to news outlets around the world. This has allowed the AP to increase the number of earnings reports they produce by 15 times.
- Salesforce: Salesforce uses NLG to create personalized sales pitches for their customers. This is done by using data about the customer’s business and interests to generate a pitch that is tailored to their specific needs.
- HubSpot: HubSpot uses NLG to create customer support articles. This is done by using data about customer inquiries to generate articles that address the most common questions.
These are just a few examples of how marketers are using NLG to improve their content marketing efforts. As NLG technology continues to develop, we can expect to see even more innovative and creative ways for marketers to use this technology to reach their target audiences.
Here are some tips for marketers who are considering using NLG:
- Start small: NLG is a powerful tool, but it’s important to start small and gradually scale up your use of the technology. This will help you to get a better understanding of how NLG can work for your business and avoid any potential problems.
- Choose the right NLG platform: There are a number of different NLG platforms available, so it’s important to choose one that is right for your needs. Consider factors such as the features offered, the price, and the level of support that is available.
- Train your NLG model: NLG models are trained on data, so it’s important to provide your model with high-quality data. This will help to ensure that the text that your model generates is accurate, relevant, and engaging.
- Monitor your results: It’s important to monitor the results of your NLG campaigns to see how they are performing. This will help you to identify any areas where you can improve your campaigns and make sure that you are getting the most out of your investment in NLG.
NLG is a powerful tool that has the potential to revolutionize the way marketers create and distribute content. By following these tips, you can ensure that you are using NLG to its full potential and getting the most out of your investment in this technology.