How AI impacts Marketing Industry


In the competitive world, businesses are required to be innovative and should try to adopt new technologies in order to sustain in this horse race. Therefore, Marketing teams should invest and implant technologies like Artificial Intelligence (AI), Big Data and Machine Learning (ML).

AI could help marketers in different ways such as helps in achieving customer engagement, in predicting trends in the market as well as among the customers, price optimization, etc.  AI also helps in better qualitative marketing decision-making. 

AI is raising as an integral part of marketing, and experts urge companies to understand AI and how does it affect both marketers and consumers. 

The most popular word in the marketing sector is AI analytics. The company cognizant defines AI analytics as automating data analysis with the help of algorithms of artificial algorithms (AI) and machine learning (ML). For example, natural language processing (NLP), speech analytics transcription, etc.  Therefore, when artificial intelligence (AI) is incorporated in businesses, it helps marketers in meeting the challenges in the supply chain, risk management, understanding customer preference, and expectations and use the insights obtained to increase the customer engagement. AI can handle the last amount od customer information that marketers cannot do.

Artificial Intelligence (AI) helps marketers in precise predictions. Using these predictions marketers can target in the areas where they don’t have any prior knowledge. It helps to generate creative ads, to find out possible risks and ways to tackle the risks and avoid them, and to use the time more productively like AI analytics. This makes marketers be more confident about the success of brand campaigns, offer, and sale.

With Artificial Intelligence (AI) tools, marketers understood the importance of AI in consumer search, purchase decision making, etc. The tools also help in understanding how to advertise, how to handle customer relationships, and how to provide after-sale support to customers. With the help of AI, the work burden is reduced and automated for the employees that include lead sorting, scheduling meetings, personalizing content, inbound email sorting, A/B testing for subject lines in emails, social media monitoring, information clustering, advertisements, etc.

In the coming years, there is a high probability for companies to depend on AI for more than 75% to put forward good results.


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