7 Powerful Applications of Artificial Intelligence in Marketing

7 Powerful Applications of Artificial Intelligence in Marketing
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AI is already hot, I think hotter than Hollywood actress Alexandra Daddario. Thought leaders are talking from the best of their sense about this future generation technology. In fact, it holds that much of potential in its womb.

Including marketing and sales, AI offers massive benefits for almost every sector of the business world. And if you’re a marketer and striving to skyrocket customer experience, artificial intelligence has huge opportunities to make it a reality. Let’s explore:

7 Powerful Applications of Artificial Intelligence in Marketing

1. Content Creation

AI has not yet got smart enough to write a political opinion column or a blog post to turn visitors into customers, but there are certain areas where AI can write meaningful content.

AI content writing applications can pick elements from a dataset and create an article that reads well. AI application can write reports on regular, data-focused events, quarter reports, sports, and market data. AI writing can be more useful to you if you need it for some financial researches.

2. Content Curation

AI-powered content curation allows you to curate content that is more relevant to your customers’ tastes. If you don’t want to pay more to create content, content curation is the best option you go can with.

The AI software searches across the web and curates the content according to your requirements and provides curated content with citations.

3. Voice Search

Voice search is getting prevalence, with Google Personal Assistant, and Apple Siri has been gaining attention. But this technology is already a part of Google search. This is where SEOs require to have a future strategy. Companies that master voice search can get big gains in organic traffic.

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4. Programmatic Media Buying

Machine learning algorithms can aid your Programmatic Media buying effort to use propensity models to more effectively target ads.

Programmatic ads require to be sensible considering Google’s recent brand safety scandal. It was once found that ads placed programmatically through Google’s ad network appeared on the websites owned by terrorists. AI can here eliminate questionable sites and place ads only on the relevant sites.

5. Propensity Modelling

Machine learning enables propensity modeling. With a huge amount of historical data being fed up, the machine learning program leverages this data to create a propensity model, which helps make accurate predictions.

6. Predictive Analytics

Predictive analytics is already making a huge impact on the sales of e-commerce companies. An algorithm built to make predictive analysis understands customers’ purchase intent, with access to their previous buying pattern and the buying patterns of customers coming in the same category. In fact, it doesn’t directly impact marketing effort but is well capable to boost the same.

7. Chatbots

Chatbots are already cool stuff for marketers to roll in prospective customers and turn them into real customers. Chatbots, being powered by artificial intelligence, can understand queries pushed by real users and push back the relevant answers that could be humorous and exciting as well. Businesses would think chatbots need a heavy cost, but in reality, they are not.


Yes, AI is really changing the way how marketers market their products and get ROI. So a large number of mobile app development companies USA, India, and UK have widened their service portfolio with marketing automation, chatbot development, and many other AI-powered services. In fact, it is really a healthy move for the AI market.