- Posted on 2019-06-22 14:53:04.0
Human Race has always thought of making computers with human-like sensory perception and decision-making capabilities. Look at the growth of the technology field, how far they have come that technology has now taken control over our lives. Artificial Intelligence is one of the great inventions in the field of computer technology using which it can provide you suggestions on whatever you search over the internet, and even come with recommendations based on your preferences and search history.
In the field of Content Marketing, as human, it might not be possible for us to go through each data that we acquire on a day-to-day basis but AI organizes according to your consumer preferences and it helps to restructure and update processes accordingly at a time when a lot of content is being piled up.
Artificial Intelligence and Content Marketing complement each other totally as It can help digital marketers make sense of the ever-increasing amount of data on the web, speed up the content creation process, and take advantage of personalized advertising, among other things.
Significance of Artificial Intelligence in content marketing-
1) Content Creation-
AI helps the marketers to understand the ever-changing world of content marketing by analyzing and tracking user data and helps marketers to make sense of user intent. AI has introduced terms like personalized advertising and personalized content to make it easier for the marketer to target their potential customer and serve them according to their needs and preferences.
2) Chatbots are used to communicate with the user in Real-Time-
Chatbots are a computer program that makes use of AI in order to mimic conversation with users. Chatbots answers the queries of the user in real-time in order to carry out the conversation and also used as a promotional tool.
It has made the customer support process easier.
Facebook Messenger, Uber, Grofers - these are some companies that provide chatbot service to their customers to help them and reply to their queries in real-time.
3) Customized News Feed Algorithm-
AI customizes the news feed of users' social media networks including Instagram, Twitter, and Facebook. With this marketer can make sure that only the people who want to see these posts would get to see it. It also makes users see only the ads in which they might be interested in.
4) Hyper-Personalized Contents-
It is quite evident that AI can provide highly personalized content as per your needs. Personalization is often considered as the most difficult phase for the marketer as it is quite challenging to collect accurate and appropriate data and then draw a conclusion based on these data.
5) Local and Global customer targeting-
It is very important for a marketer to target its customers at a local and global level both but it is the biggest concern for the marketer that how can we reach both markets in the available time. Geography and culture are two factors that are hindering this aim of the marketer. Though social media has pulled the world closer marketers are still looking for ways to reach out to their customers clearing all the language and cultural barriers in order to make a great impact.
Taking these factors into consideration, AI is considered to be more focussed on providing location-based targeting with the help of local maps and areas.
6) Predictive Analytics-
Predictive analytics, the practice of extracting information from data sets to predict future trends, can be used to great effect in improving customer service and customer experience.
Using predictive analytics, marketers can reverse-engineer the experience of customers and actions to determine which marketing strategies resulted in a positive outcome.
Demand-based price changing is nothing new. AI helps to analyze the data pattern of customers and predicts what they are likely to willing to pay, and also their receptiveness to special offers. This helps the marketer to target them with more precision and calculate the exact level of discount needed(or not needed) to pull in a sale.
Dynamic pricing can also be used to compare product pricing of businesses with that of their competitors to determine if their pricing is too high, about the same, or too low.
8) Sales Forecasting-
Sales forecasting is another prediction-based application of AI – this time, for sales.
Using past sales data, industry-wide comparisons and economic trends, artificial intelligence can forecast sales outcomes and help companies to inform business decisions and predict short and long-term performance.
AI helps the marketer to design content in such a way that it increases the sales of the company and make a more and greater impact on their customer.
Conclusion As we discussed above, AI has completely changed that way of Content Marketing as it was before. AI has given new scopes in the field of content marketing and has made it a more effective tool for digital marketing.