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About this Book

A business house may spend countless hours and invest loads of pecuniary resources in an attempt to rekindle social media marketing. Also, with so many social media enterprises queued up in the market place, it is painstaking to stand out from the crowd and virtually connect with the target audience. Besides, social media is no longer just about engaging in chatting and news feedback. It is now a full-fledged dashboard for advertising, marketing, e-commerce, customer care services and so on. But, with the advent of artificial intelligence (AI), social media marketing has been simplified to deal with and the results are also much reliable.

Therefore, artificial marketing can be defined as the calibrated use of customer-centric data from both online and offline origins and computational conjecture like machine learning. AI, laced with these features, predicts customer’s digital actions and inactions on web platforms and allows businesses to prudently target the right customers with the right content at the right moment across the admissible channels.

Embracing artificial intelligence in marketing was once construed to be an idea of marketing automation, which only prodigious or sizeable business houses could thrive in. However, today, in the broader realm of modern marketing scenario, even minuscule or undersized businesses have digested the veracity of AI and are in a position to apply for online algorithms or the offline machine learning modules in order to create noteworthy insights and prediction models in relation to customer behaviors.

The most distinct plusses post adopting artificial intelligence in marketing can be bulleted as:
AI influenced content
Elegant content initiation
Programmatic media purchase
Voice search
Predictiveness evaluation
Propensity modeling
Advertisement focusing
Lead scoring
Web and app personalization
Dynamic pricing
Re targetting
Chatbots
Marketing mechanization
Predictive customer service
Dynamic emails (1:1)

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Artificial intelligence or AI as abbreviated has been a catchword for nearly a decade now, but notwithstanding, a feeling creeps up as though it is a bottleneck for a few to find it difficult to comprehend what predictive analytics and machine learning can do for business enterprises. Ignorance is the key factor in this context that looms large not on the majority but a few segments of stakeholders, which will certainly disappear with the induction of proper training modules.

The rise in productivity of workers has become the essence for both large and small scale industries, including niche markets. Increasing productivity relates not only to concerns regarding reshaping production methods but also transforming processing and optimization of specialization and wisdom more appropriate. Overhead costs in many companies may exceed those attributed to direct labor element. Artificial intelligence from the perspective of industrial growth has an enormous contribution in reducing to some extent, the bugbear of overhead costs. Therefore, AI systems open up another dimension to enhance an organization’s internal operations and functionalities. However, it should be acknowledged that implementing a knowledge system for internal use can have a pronounced impact on the working processes of the multiple ingredients within an organizational structure.

There are plenty of examples as to how artificial intelligence transforms the methods to operate, shop, market and sell, enabling the stakeholders to accomplish things that would never have been feasible without the induction of AI. This does not necessarily entail that AI is vastly overrated. It is just that when it comes to revamping a business, pattern recognition algorithms are the tiny components to pay attention to. Almost everyone has to be fine-tuned to the work ethics of artificial intelligence, especially people who are likely to trust their own decisions.

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There are over 3 billion active web visitors, who are well conversant with the attributes of social media. Chiefly among the active users are the existing and potential customers. The issue is how to open the door through which the prospective buyers can be reached. In the wake of the modern, fast-paced environment, Artificial intelligence in marketing can assist a business in a great way to create more effective marketing and social media schemes. Market strategists are already in the process of reaping a substantial return on investments (ROI) from AI applications as more businesses are being attracted to this technology day in and day out.

While there are hundreds of probable AI applications in the market place but a few unique components have impressed all and sundry in a rational approach. Principal features amongst them are image recognition and machine vision, customer segmentation, content generation including personalization of content, programmatic advertising, buyer personas, social media monitoring, customer service, and social engagement, content optimization and curation, chatbots, email marketing, machine learning, predictive analysis, etc.

It is evident that having artificial intelligence in marketing in the lap, it is designed to deliver plenty of positives while venturing upon digital marketing strategy. AI is entitled to be labeled as the new face of productivity, efficiency, and profitability since opting for an effective technology construe to a high return on investments.

The selection and commitment to embark on a new era of transition driven by the distinct rudiments of AI should be a coveted aspiration for the stakeholders. It is further clarified that artificial intelligence has not been introduced to create any job crisis, but on the contrary, the launching of AI and its effective implementation will hone the marketers’ acumen to reach out to the broader spectrum of related audiences. The market strategists are now able to unleash their honest strategic and creative skills. However, in the direction of turning AI more fruitful, the respective professionals must adapt to the changing scenario and get in line with the worth of artificial intelligence in marketing. The right decision at the right time is the essence of any rational deliberation and that determines the growth and progress of any country in the perspective e-commerce analogy. There is no better moment for marketing professionals to continue to test how artificial intelligence strategies can produce extremely personalized perceptions for their customers.

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By means of artificial intelligence marketing, the once uphill task has now become a straight forward method of research and interpretation, to say the least.

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