Big Data And Artificial Intelligence Marketing

With Big Data and Artificial Intelligence marketing, businesses can drive consumer engagement and better understand their behavior

Big Data and Artificial Intelligence (AI) are having a big impact on the business landscape. As per estimates, big data and AI will drive revenue worth around US$9.5 trillion per year by 2025 across various industry segments. One of the key contributors will be big data and artificial intelligence marketing.

AI-powered marketing

In recent years, various AI-based marketing tools and platforms have been launched. Some examples include Salesforce Einstein, Adobe Sensei, HubSpot AI, etc. With the help of these AI platforms, the marketing functions can be optimized and executed in a flawless manner. One of the strengths of AI-powered marketing has been noted in areas like predictive analysis. AI can easily analyze vast datasets and predict consumer behavior in a precise manner. This can be a huge advantage to businesses that are operating in a highly competitive industry.

With the help of AI tools like virtual assistants and chatbots, consumer queries and concerns can be addressed in a 24/7 environment. The cost to the company is also reduced with these automated AI tools. With the help of AI tools, marketers can also automate their social media campaigns. Moreover, all the marketing needs such as advertisement copy, social media posts, banners, posters can be created with the help of AI tools.

Big Data marketing

With big data tools like Spark and Hadoop, vast datasets can be easily processed and analyzed. With data-driven reports, marketers can make more effective decisions regarding their marketing campaigns and strategies. Big data can handle both structured and unstructured data and can detect opportunities in real time. One of the focus areas is behavior analytics, wherein big data helps understand how customers will respond to a product or service.

Another important aspect is sentiment analysis, where customer response is measured for various marketing campaigns, forums, posts, etc. linked to a brand. With big data tools, marketers can better understand the impact of ongoing campaigns. Accordingly, a course correction can be done in line with consumer preferences.

Machine learning in marketing

An integral part of AI, machine learning (ML) can analyze huge datasets without the need of any extensive pre-programming. Machine learning can be used by marketers to derive actionable insights. It can facilitate personalized advertising, make product recommendations and predict customer churn to rival offerings.

Machine learning relies on various advanced algorithms to achieve the desired goals. For example, classification algorithms are used to predict consumer behavior based on their previous online purchases. Regression algorithms analyze past sales data to predict future revenue potential. Clustering algorithms define various customer groups and accordingly generate personalized marketing strategies.

Big data and artificial intelligence marketing will continue to improve business-consumer engagement in the future. Even better results are expected to be achieved when quantum computing goes mainstream and becomes an integral part of AI. In the coming years, the marketing function will see increased automation, less human intervention and higher percentage of target fulfillment. All thanks to the constantly evolving big data and artificial intelligence marketing.