How AI and Machine Learning are Changing The Approach to Marketing

The future is almost here and it will change the marketing industry. Marketers need to prepare for the impact of machine learning (ML) and artificial intelligence (AI) by allowing themselves to become a part of this smart and interconnected digital universe.

 

While there was buzz for quite some time regarding the concept of AI, advanced analytics and the next generation of customer service are finally becoming a reality. According to research projections, by 2020, 85% of customer interaction will not involve a human agent.

But we could say that chatbots have already successfully replaced worldwide customer service representatives, with 34% of consumers in 2017 who preferred this type of customer care. Chatbots are a part of the AI revolution, and they are everywhere.

In fact, many initial interactions between an organization and a consumer are handled via bots. These programs are designed to respond based on the provided keywords, and they do it at lightning speed and at a cheaper rate than human employees. It’s a win-win for thriving corporations and impatient online customers.

However, that’s not the only shift in business practice that’s experiencing major optimization. Digital assistants and other advanced technological solutions that were once only science fiction are taking us a step closer to breaking the limits of marketing.

How? With relevant content, broader marketing reach, new market opportunities, and an overall shift in communication with technology, customers, brands, and services.

 

What Does AI and ML Really Mean?

Artificial intelligence and machine learning are two different terms that are often used interchangeably. While AI is a much wider concept of smart machines, machine learning is just one feature of an AI’s capabilities. In other words, artificial intelligence is a machine that can perform what is known as machine learning and use it to solve a variety of complex problems on its own.

In the early stages of development, ML signifies the learning process a machine performs without explicit previous programming. This special ML technique is called deep learning and it involves an artificial network of neurons that mimic the way our brain works. To put it simply, we can give a bunch of data to a machine and watch how it learns by itself.

A neural network system is designed to receive and process information the same way the human brain does. The machine can learn to recognize patterns, make statements, and provide more accurate estimations depending on the data it’s given. But that’s not the end of it.

Another important aspect of AI is the option for human collaboration with the machines. Thanks to natural language processing (NLP), we can enjoy seamless communication and interaction between people and electronic devices, such as the one we share with Siri.

Technology is evolving to the point that devices can now learn how to communicate with us on an organic and natural level. After all, the goal is for computers to achieve human-like understanding of languages and text. And once the objective is completed, they will not only understand, they will also draw their own conclusions, summarize, and naturally communicate.

Reshaping the Marketing Field: What Can Marketers Expect?

How will AI technology make a difference for marketers? In the years to come, the industry will face a significant shift in personalization and relevance at scale. With increasing customer expectations, businesses will need to implement more innovations that will transform client interactions.
“Meeting customer expectations in the new decade means shifting from being ‘customer focused’ to ‘customer committed.’ This deliberate transformation requires fundamental change in how B-to-B companies think, act, and collaborate.”
When it comes to meeting customers’ expectations, companies will need all the help available. Why? Because by 2020, consumers will become the key brand differentiators. Shoppers’ satisfaction with products and services will drive their loyalty.
AI will empower marketers by opening doors to lucrative market opportunities and better customer relations. From tailored marketing campaigns and interactive website design to far-reaching digital ad platforms, AI promises to increase brand competitiveness by conquering a vast amount of data and expanding marketing strategies to new heights.

Examples of AI and ML Technology in Marketing Today

AI in marketing is already behind the scenes of many marketers’ decisions. In fact, research from Marketing Automation Insider suggests marketing automation has grown into a $1.65 billion industry in just the past five years.
In spite of AI’s prevalence, 63% of people still don’t realize that they are using it on a daily basis. However, this doesn’t deter businesses; 68% of CMOs reported that their companies have incorporated, or plan to incorporate, AI into their operations. And 55% of companies expect AI to have a greater impact on marketing and digital communication than social media networks have.
Some brands understand precisely the power and benefits of AI systems. Google, an AI pioneer, used the RankBrain AI algorithm to help find relevance in the enormous sea of search queries back in 2015. This is the perfect example of how NLP (natural language processing) could navigate marketers throughout big data and toward relevant content.
Furthermore, the Grid in website design is also a part of AI technology. It’s often used to automate sites with intelligent image recognition, cropping, and algorithms that make a tailored landscape that evolves over time when you add content to it. Imagine a website that designs itself. Sounds scary and tempting at the same time, right?
AI algorithms can do so much more. They can reach and affect product pricing as well. By using machine learning, marketers can pinpoint the ideal price based on pricing and sales trends, inventory capacity, and other company factors. Even better, AI can provide crucial information to entrepreneurs, such as how and why the customer might come into contact with the company.
This predictive AI technique is widely used by USAA, and it improved their guessing rate from 50% to 88%. The system can analyze thousands of factors and accurately recognize the patterns of human behavior for each consumer. Hence, customer service is enhanced once the AI knows how users will contact the center and for what products.
Let’s not forget that deep insights into customer behavior and preferences lead to personalized ad targeting. The deep learning approach benefits marketing via better data analysis that can show how people reacted to previous and recent digital ads. “Deep learning [is] able to handle more signal for better detection of trends in user behavior.”
Machine learning can also help optimize your product catalog, improve lead conversion, boost branding, and increase the likelihood of a user clicking the ad. AI will bring the customers and marketers closer than ever before, and the audience won’t mind; their efforts are drastically reduced because their actions are anticipated.

The Main Fronts on which AI will Impact Marketing

AI in marketing is developing, and with it, the future of marketing. So, let’s review all the branches of marketing AI will transform, considering the fact that each application will have significant implications on both marketers and the customer journey.

Building Social Media Reputation

The most popular strategy for building a positive corporate reputation relies on social media platforms. Facebook, LinkedIn, and Twitter are now common channels for marketers to raise awareness and monetize products and services via ads.
However, those platforms began to research how users perceive ads, which led to AI algorithms fueling news feeds according to consumer preferences. That’s good news for enthusiastic marketers who can use this data to make ads that customers will respond to positively.
AI Content Development & Content Curation
Aside from informing and supporting smart marketing decisions, some AI functions can also generate content for attracting customers to the website. For example, in 2016, the Wordsmith program produced more than 1.5 billion pieces of content, up from 300 million in 2013.
The writing system can efficiently track data and language structure for generating human-like articles. Although the content mostly focuses on data reports, marketers, especially those in finance, can benefit from market reports the AI program provides.
Nevertheless, AI content curation is here to help engage customers more. With this technique, brands can better entertain their visitors by presenting them with content that’s relevant to them.
It’s also an excellent strategy for subscription management, because recommendations gradually become better as the number of users grows. How? Through the use of machine learning algorithms that remember where shoppers left off and analyze the patterns.
Automated Marketing
How can marketing automation assist with sales? AI-powered technology can measure the success and rank sales based on a prospect’s chances of conversion.
Marketers who use machine learning and AI algorithms for sales will have access to customized marketing programs, improved email campaigns, and add a lead scoreboard to the mix. So AI systems will change the current market and marketing efforts in general.

Personalized Web & App Experience
Online shoppers are constantly seeking transparent and innovative businesses, but beyond a clear message and interesting site design, responsiveness is what matters the most. By applying the predictive AI model, customers can get good customer service with quality content on all fronts, including both web and app experience.
Loyal customers will have more in-depth information about products or services they have shown interest in, while new visitors will be engaged with informative content that will retain their interest.

Email AI Marketing
As previously mentioned, AI can help with email marketing optimization. By applying insights generated from AI technology, marketers can discover a subscriber’s tendency to buy certain products and then feature the most relevant products to that consumer. Once they open a newsletter, the email will display potential deals, products, and pricing the company has to offer.

Predictive Analytics
Marketers will finally have accurate insights and predictions to lean on when it comes to productivity. Although the propensity model is only as successful as the data it processes, this type of help could allow organizations to stay ahead of their competitors.
The predictive AI technology will lead the way to new marketing concepts and shape the design of advertising campaigns. Predicting the prices, lead conversions, repeat purchases, trends, and so much more will become the new marketing norm and the main formula for increasing revenue.

Programmatic Advertising
Programmatic marketing can use machine learning and predicting algorithms to effectively target ads to the most important and returning customers. However, not all social platforms are safe for your ads. Ever since Google suffered a safety network scandal due to ads of certain companies appearing on questionable websites, marketers are now a bit careful about posting ads.
But AI can help increase network safety by recognizing the suspicious sites and removing them from the list of channels. In other words, artificial intelligence in programmatic marketing can show marketers the best options for placing their targeted ads.

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