How NLG Can Help You in Digital Marketing

Natural language generation (NLG), a subset of artificial intelligence(AI), is an important tool for businesses to enhance their digital marketing efforts. NLG technology enables computers to automatically generate human-like natural language from structured data. Using NLG, marketers can quickly and efficiently generate content for their digital marketing campaigns without having to manually write the content. 

According to recent reports, the market for "AI in Marketing" is anticipated to reach US$ 48.8 billion by 2030, exhibiting a CAGR of 28.6% throughout the forecast period (2021-2030). This growth is driven by a thorough analysis of the market by application (ad optimization, content curation), technology, vertical (BFSI, government), and deployment (on-cloud).

Source

We'll provide an in-depth explanation of how NLG is helping digital marketers to convert their traditional methods into more advanced ones. 

Let us first understand the use cases of NLG in the digital marketing ecosystem and its impact.

What is NLG in Digital Marketing?

NLG in digital marketing is the process of creating written content from structured data. It uses algorithms and AI programs to convert structured data into written or spoken content. 

Digital marketers use it to generate automated content such as blog posts, product descriptions, reports, and email campaigns. In short, NLG provides digital marketers with various benefits, along with the ability to quickly and cost-effectively generate personalized content for a wide range of customers.

How does NLG Affect Digital Marketing? 

Businesses are increasingly relying on technology to help them better understand their customers and create more personalized and engaging experiences. NLG quickly and accurately generates large volumes of content based on data. This helps marketers who need to keep up with the ever-changing landscape of digital marketing. NLG can also help marketers better understand their customer's preferences and interests. 

Use Cases of NLG in Digital Marketing

Popular use cases of NLG in digital marketing are:

Audience targeting

NLG helps businesses to better understand their customers by analyzing customer data and generating insights from it. Thus, they can target their marketing efforts and tailor their content to better meet the needs of their target audience.

Digital marketers also use NLG for the following:

• To create content quickly and accurately to target specific audiences more effectively
• Quickly generate content about specific topics and target it to specific audiences
• Using data-driven insights to personalize the content.
  

Sentiment Analysis

Sentiment analysis helps marketers understand how customers perceive their brand and products and help them develop strategies to improve customer experience and increase sales. 

For instance, by analyzing customer feedback, marketers can identify customer pain points and areas of improvement, as well as develop better campaigns and strategies to target customers. 

In digital marketing, sentiment analysis can be used for the following:

• Analyze customer feedback
• Measure customer satisfaction
• Gain insight into customer preferences and opinions
• Optimize customer experiences
• Increase customer loyalty
  

Ad Targeting

NLG is used for ad targeting by creating personalized ads based on customer data. It is also used to analyze customer data, such as demographics, location, purchase history, and online behavior, and then generate relevant, personalized ads that target specific customers.

Digital marketers use NLG for the following:

• Create personalized ads to increase the chances that customers will click on the ads
• Automate the process of creating ads and can help marketers save time and money.
  

Topic Extraction

Topic extraction is the process of identifying topics and keywords from a large set of digital content (such as web pages, blogs, articles, and other media). Topic extraction techniques can be used to identify the main topics of a website, blog post, or other digital content, as well as to find related keywords and topics.

NLG is used for topic extraction in digital marketing by:

• Analyzing large amounts of data and extracting key insights that can be used for further analysis. This includes identifying trends, uncovering customer insights, and understanding customer behavior.
• Process large datasets and generate reports. This will help digital marketers understand customer preferences and identify new opportunities.
  

Optimizing Content for SEO

SEO ranking is an important factor in digital marketing because it determines how easily people can find a business online. It is based on various factors, including the quality and relevance of the content, the structure of the website, and the overall online presence. 

Using NLG, digital marketers can improve their SEO rankings by:

• Generating content that is customized to the user's search query and is optimized for various search engine algorithms. 
• Optimizing content for voice search. This ensures that the content is seen by more people, which can improve the website's SEO ranking.
  

Automated Marketing

Automated marketing is popular as businesses look for ways to increase efficiency and reach their target audience most cost-effectively. It helps automate labor-intensive tasks such as creating campaigns, tracking customer behavior, and analyzing data. By eliminating the need for manual labor, automated marketing allows marketers to focus on more important things, such as creating content and nurturing relationships with customers. 

For automated marketing, NLG is used for the following:

• Generating personalized recommendations for products and services
• Producing product descriptions for online stores
• Creating a dynamic content for display ads tailored to the interests of the target audience. 
  

Smart content generation and curation

Content generation and curation create an engaging experience for one's audience and build brand awareness and loyalty. It enables digital marketers to create content that resonates with their target audience while also providing value.

This can help drive conversions and leads and build relationships with customers. NLG-based content creation and curation help digital marketers save time and resources and create more effective campaigns.

NLG creates smart content generation and curation by:

• Generating personalized messages and recommendations tailored to each customer's individual needs
• Creating personalized content for customer emails, web pages, and social media posts
• Generating visuals like infographics, images, and videos
• Curating content from third-party sources to help digital marketers find relevant content for campaigns. 
  

Predictive analytics

Predictive analytics is a powerful tool that enables businesses to gain valuable insights into customer behavior and anticipate future trends. It can identify potential customer segments, predict customer preferences, and help to plan effective marketing strategies.

In simple words, by leveraging NLG for predictive analytics, marketers can better understand customer needs and behavior and ultimately increase ROI.

NLG can help marketers harness predictive analytics by:

• Generating insights by analyzing data from multiple sources enables businesses to make better decisions about their marketing strategies.
• Identifying patterns in data and forecasting future outcomes to enable digital marketers to make more informed decisions.
  

Virtual Assistants 

Virtual assistants like chatbots help marketers with various tasks, including scheduling content, responding to customer inquiries, providing customer service, and more. Digital businesses save time and money while still providing quality customer service.

NLG can be used to deploy virtual assistants that assist in a variety of ways, such as:

• Automating tasks such as creating and managing campaigns
• Managing customer service and automating responses to customer queries
• Scheduling ads and posts
• Creating personalized customer experiences by providing personalized recommendations
  

Personalization

Personalization allows businesses to form meaningful connections with their customers and prospects. Due to advancements in machine learning algorithms, personalization has become more affordable in recent years. 

Personalized messages are more likely to be seen, heard, and acted upon, compared to generic or standard messages. Additionally, personalization can help brands stand out in the increasingly competitive digital marketing landscape.

NLG can be used for personalization in the following ways:

• Creating highly targeted campaigns that are more likely to convert
• Generating more leads and sales for businesses.
  

Benefits of NLG in Digital Marketing

Quickly and accurately generate large amounts of content

By using NLG, businesses can reduce the time spent on creating and updating their digital marketing content, allowing them to focus their efforts on other aspects of their campaigns. 

Measure and analyze the results of digital marketing campaigns

By using NLG, businesses can make data-driven decisions about their campaigns, identify areas of improvement, and make informed decisions about how to best optimize their campaigns for maximum results.

Challenges of NLG in Digital Marketing

Since NLG is still developing, some challenges exist in the digital marketing space. These include the following:

Reliance on data

For NLG to work properly, it must be trained on a large quantity and quality of data. This data must be accurate and up-to-date to generate content that is both relevant and accurate.

Need for human intervention

Although NLG can generate content on its own, it still needs to be overseen by a human to ensure that the content is accurate and up-to-date. This means that marketers must be willing to invest in hiring and training staff who can monitor and refine the generated content.

Managing quality

Creating quality content is essential for digital marketing success, but it can be difficult to manage the quality of content when using NLG due to the lack of specific data needed. Digital marketers must be able to monitor the quality of content generated by NLG and be quick to make changes when necessary.

Creating personalized messages

Personalizing content is key in digital marketing, but NLG often relies on generic templates and language, which can make it difficult to create personalized messages for each customer.

Conclusion

NLG is revolutionizing the way marketers create content. Marketers are saving time and money while creating more engaging and personalized content. It is quickly becoming an essential tool in digital marketing and one that all marketers should take advantage of.

NLG software has a broad range of applications across industries. Its strength lies in its ability to adapt to specific brand voices, enabling digital marketers to build relationships with specific audiences.

Cogent Consulting assists companies by designing and implementing technology solutions that meet their specific business needs, leveraging data to gain competitive insights, and developing effective business strategies. It also helps businesses optimize IT operations and improve processes to maximize efficiency and cost savings. Contact to facilitate a successful transition to digital transformation.