How is AI Easing Out the Work for Marketers Today?

by October 9, 2019 0 comments

In the age of technology, if a marketer doesn’t use artificial intelligence in his strategies, he already lagging. The technology helps marketers to form their strategies and also execute them. Influenced by the era of disruption, the new marketing terms include – artificial intelligence, neural networks, deep learning, big data, automation, etc. These give rise to marketing in such a competitive culture. AI in marketing plays an important role by removing the occurrence of human errors like delay, biased approach, and other petty errors.

Here are the top 5 examples of AI in a Marketing application.


The Usage of Chatbots

As we all know chatbot is an AI-powered service that helps interaction via a chat interface. It is one of the best examples of AI and automation implementation in marketing. Observing the market, we can log that, there exist two types of chatbots today:

  • Chatbots designed to serve in a chat screen of a website or a bot operating in any chatbox of the social networking sites.
  • Another variety of chatbots are virtual assistants like Apple’s Siri, Google Assistant, Amazon’s Alexa, and Microsoft’s Cortana. These assistants are powered by AI to help users provide a variety of information through conversations.


Personalized Recommendations

Nowadays e-commerce sites, blogs, and many social media websites use AI to analyze user activities on the internet and recommend them products and content for better conversions and to make them spend more time on a particular website. Marketers look for modes and methods to engage with the user. They use AI to act as an intelligent salesman and provide recommendations for users based on their activities, interests, and opinions.


Personalized Pricing

When a user is looking for a product to buy on the internet, he seldom gets discounts or less price for that product because the bots on those websites know when he needs a product. The cookies, searches, and other activities are monitored to provide the user with personalized pricing or dynamic pricing in response to his customer generated by e-commerce websites in real-time.

Notably, dynamic pricing is a strategy where the price is provided relying upon the demand, the availability and the profile of the customer. AI is used to decide and design personalized offers for customers.


Relevant Ad Search

If user has searched for a product on Amazon, there is a probability that he will see the same or relatable ad on Instagram or Facebook. This is because user activities, interests, and device are taken into consideration before serving them an advertisement. Marketers try to make the most out of advertisements by making them relevant and targeted for the user. The relatable advertisement is most likely to appear in front of the user concerning a product he recently searched about or from a website he recently visited.


AI in Data Analysis for Marketing

Data analysis is one of the most useful examples of AI in marketing. Currently, marketers need not guess what will work for what audience. Several data points attached to the target audience are present there that can be accurately analyzed by AI bots in order to understand which message is going to appeal to whom. As AI is closing the gap by moving beyond human limitations, it can analyze data on a scale no human can.

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