Content is the king! It can be difficult to create high-quality content, especially if you have to use a lot of resources. But you can still do a lot if you are aware of the latest trends in content marketing. Modern content automation tools can be a great help for your business. Content automation refers to the process of automatically generating content using technologies such as Artificial Intelligence (AI) and Natural Language Programming (NLP).
Many of these content generators you will find online use NLG, or Natural Language Generation technology that is based on NLP. These auto-generators use text interpretation and auto-generation to create content. Marketers have seen a 14% rise in sales productivity, and a 12% decrease in overhead with these marketing automation technologies.
The content marketing industry has seen one of the biggest benefits of content automation. Many organizations have been able to produce content on a regular basis and reduce other costs such as website development or investment in an app. Businesses can use content automation to free up resources for other mission-critical tasks.
These benefits aren’t just for large corporations. Small businesses can benefit from marketing automation to automate tedious tasks such as updating product descriptions or prices, and making sure that new leads are added to your CRM system for follow-up. We will be discussing how automation is revolutionizing content marketing forever. Let’s start by discussing how content automation works.
What is Content Automation?
Content Automation refers to the creation of content using AI algorithms that analyze human interactions, search behaviour, and other aspects. For content marketing campaigns, you need many types of content, including ebooks, landing pages and blogs, as well as articles. Content automation can be used to create any type of content, not just written text. Complementary automation tools can also help schedule social media posts and automate the posting process for your website.
Written text is the most common type of content that is now auto-generated. It was difficult to transition to content automation as the technology needed to achieve these innovative features was only available in 2015. This technology was introduced by Elon Musk’s Open AI. OpenAI’s innovations GPT-2, GPT-3, and GPT-3 paved the way to content automation.
Let’s look at the technology that drives such automation.
How does content automation work?
GPT-3, or third generation Generative Pretrained Transformer, is a neural network model that can generate written content. This will require a keyword or search phrase that is related to the content you are trying to create. Like all such efforts it depends on the execution of marketing automation strategies.
Unsupervised learning is used to train algorithmic models that generate content. This includes SEO-worthy content. The unsupervised learning approach doesn’t require human supervision or intervention to train the model. It analyzes large amounts of data and generates output based upon that information.
Content auto generation is, in layman’s terms: It works as a self-learning robot that learns through data and creates engaging content.
These are just a few examples of content automation.
- Washington Post used an AI writer to generate over 850 stories for its presidential election and the 2016 Olympic Games (VentureHarbour).
- Techgrabyte created a Batman movie script for him.
- In 2018, (Singularityhub), an AI writer wrote a novel.
- The Guardian used an AI-based content automating tool to engage audiences (The Guardian).
NLP, or Natural Language Programming, is another important technology that plays an essential role in content marketing.
What is NLP?
NLU and NLG are two technologies that have been combined to create NLP. NLU is for Natural Language Understanding. This technology interprets the intent of the user and creates data sets to train algorithms to optimize content creation. However, this “optimization” has more to do language learning and imitation rather than strategy. This interpretations allow machines to better understand human language through linguistic science. NLU uses linguistic science to interpret through.
- Sound- Phonology
- Word formation and Morphology
- Sentence structure and Syntax
NLG, or Natural Language Generation, uses the output of NLU to train algorithms and create content. It is therefore central to many use cases, such as auto-content generation and social media auto-post scheduling.
Gartner reports that more than 25% of businesses will use Natural Language Programming technologies before the end of 2022, according to Gartner. This shows how NLP/GPT-3 technologies can transform content marketing. Let’s now discuss the best content automation services that you can use in your marketing campaigns.
Automation transforms regular emails into a marketing channel.
Before we get to content automation, it is important to remember that email automation is an effective tool in both the content and inbound marketing realms. Email is the most common method of communication for businesses with prospects. This includes when they are recruiting customer advocates, acquiring customers, and maintaining partner relationships.
This is made even more difficult by large businesses and startups that use digitalization to drive their growth. Automation is possible with digital communication. Email automation has been used by marketers for years as a marketing channel.
This was only possible with email marketing, and it was not separated from regular emails. This was until recently. Some clever marketers discovered that they could transform all company emails into marketing elements by using their company email signatures.
Email Signature Marketing (ESM), a new channel for marketing, makes use of large amounts of outbound email generated by businesses to run automated ESM campaign. A business with 100 employees will receive around 90,000. These campaigns can be run monthly, as an average employee sends out 40 emails per day.
Do you see the potential for impact? However, there is one major problem in running automated ESM campaigns: the technical difficulty of setting the email signatures for every employee. This process must be simplified. You could end up with your IT manager emailing hundreds to thousands of employees asking them to change their signatures manually every time you update your campaign.
These clever marketers realized that there are tools available that provide central email signature management. For example, the WiseStamp signature manger is one such tool. This signature management software allows you to run multiple automated campaigns for specified groups of employees by department, location or job title.
You can’t miss the chance to automate your email signature marketing with a signature management software. This is a great opportunity to use your regular email for branding, marketing, and lead generation.
Top Content Automation Services
Two ways to use content automation services are available. The first is to use the existing CMS or Content Management Systems to integrate with the available services.
The second option is to use NLP-based algorithms to create custom content automation services. This will require asset management, skilled professionals and infrastructure. Let’s now discuss the top content automation services that are based on NLP and can be integrated directly into your marketing campaigns.
GPT-3’s content automation service is a market leader because of its backend technology. OpenAI backend technology is used to support it. It has 175 billion models for automating content generation and one of the largest resources of Machine Learning Algorithms. GPT-3 also offers integration via a custom Application Programming Interface that allows you to automate content generation for marketing campaigns.
2. IBM Watson
CTAs are a key component of eCommerce landing page designs and homepage designs. Imagine if your landing page could automatically generate the hero text that matches the CTA. IBM Watson is here to help.
You can create unique content for eCommerce, Agriculture Finance, Healthcare or other purposes with the help of this tool. IBM offers cloud-based services that provide additional benefits for businesses, in addition to the customizations.
Two aspects of user engagement are content and presentation. Gensim is an excellent tool for creating content.
It uses memory optimizations and the aggregation linguistic data to train algorithms that automate content creation. You only need to install the Python packages that Gensim and they will be integrated into your existing system. These packages allow for linguistic-based analysis and interpretation of data, followed by generation.
4. Berkeley Neural Parser
It can be difficult to understand human language in a machine. Customizable NLP services are available. Berkeley Neural Parser, which leverages Python-based Machine Learning algorithms and supports 11 languages, is one of the most innovative.
It converts the sentence’s syntax into machine-friendly phrases. Its user-friendly interface makes this one of the most accessible options for non-technical users.
It can be used with a Natural Language Toolkit (NLTK), a collection of Python-based programs that assist in human language interpretation. It is simple to use and includes many features such as text extraction, sentence classification, sentiment analysis, translations, and spelling correction. You can also quickly create several prototypes for your marketing projects to test the A/B process.
Content automation will continue to grow exponentially as a result of the huge demand for content online. Businesses are increasingly looking for innovative technologies to automate content marketing campaigns. SEO, or Search Engine Optimization is a key component of content marketing. With content marketing automation, it’s possible to enhance this for greater results.
Scoop.it Blog: Content Automation: How is it changing content market marketing
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