Our world today is fast-paced and digital-oriented; this makes artificial intelligence (AI) to become one of the most effective social media and marketing tools. AI has helped businesses to attract, create, and nurture prospects.
Digital marketing is getting more popular with the introduction of innovative software applications and tools. Now, it’s difficult to lose the job of a digital marketer because new applications are being created daily. Technology has changed how businesses operate and AI automation is no exception to that rule.
If you’re worried if this new technology will replace the jobs of digital marketers in the future, that is difficult to predict. Even though artificial intelligence is likely here to stay, that doesn’t mean that workers are going to lose their jobs simply because of automation. While AI can outperform humans at routine tasks human employment is presently not threatened; rather, AI taking over some tasks will create new job opportunities in the future.
MEANING OF AI PROGRAMMING
AI uses computer systems and machines to simulate human intelligence processes. These processes mostly have to do with learning, reasoning, and self-correction.
When used by marketers, AI takes advantage of concepts such as machine learning and customer data to try and determine the next move of a customer and help in improving their journey.
Marketers can now profile their prospective customers better with the advancements in analytics solutions and the evolution of big data. Having these insights have helped marketing teams to augment the performance of their marketing campaigns and get a better ROI.
WHAT IS MARKETING AUTOMATION?
Marketing automation covers all forms of marketing campaigns on all marketing channels -including phone, direct mail, social, online, and mobile campaigns. Marketing automation builds something better by taking the capabilities of lead management systems, web analytics platforms, and customer relationship management software.
A MARKETING MANAGER’S ROLE HAS SHIFTED
In the world of AI automating marketing campaigns, marketing managers are still needed. A robot has just a 1.4 percent chance of taking the job of a marketing manager. Marketing automation is created to automate repetitive duties such as social media posts, email marketing, and ad campaigns; however, a human is still needed to define the automation. It is easy to automate repetitive tasks, but the decisions affecting those processes still need human input. Marketing managers are important for understanding the shift in the marketing space.
This shift needs to understand that that the duties of marketing managers have changed. As marketing managers spend less time managing various email lists, for instance, they are liberated from the unnecessary. Marketing automation helps marketing managers spend more time on creative processes, and less time on manual jobs. Emotional intelligence, perspective, and an understanding of the human psyche are important in strategizing and determining how to market to an audience.
DIGITAL MARKETERS CAN USE AI TO:
Quickly make business decisions by using available data
Understand their audiences better
Gather and then analyze bigger data
Personalize the preferences of customers
Do better research
Streamline content creation
Just as it is with other technological changes in the past, AI will probably create a need for new skills rather than removing jobs. Marketing campaigns will still need people regardless of the changes we experience in the future. For instance, a human will have to be present to monitor conversations made with chatbots or to create conversation programs. It is also important to have people that can look at large amounts of data, understand the data, and communicate what it means to other team members so they can come up with a business strategy.
BETTER PRODUCT AND CONTENT CREATION
The process of getting customer information to determine their future behaviors started about two decades ago. Over this time, big brands deployed collaborative filtering to drive recommendations to millions of customers. Today, a lot of tech companies have created their product offering and business models around the idea of targeting clients with highly important and customized products/services.
This is possible because of AI-based technology, demographics, and the profile information of customers. By regularly pairing and adapting to what a customer likes and dislikes, brands can now put forward new and tailored recommendations in real-time.
SMARTER AD CAMPAIGNS.
Advancements in big data and the growth of social media platforms have enabled marketers to create smarter and more effective ad campaigns. By Using AI-based techniques, marketing teams look at social media profiles and keyword search histories to ultimately create human-level outcomes.
MORE ADVANCED CUSTOMER SERVICE AND SOCIAL ENGAGEMENTS.
It is important to consider your customer service and social engagement before, during, and after making a sale. This will be important in getting loyal customers and getting more sales. Most customers reveal that they would leave a brand if it doesn’t provide them with top-notch customer service.
IMPROVED USE OF SEARCH ENGINES.
AI greatly influenced how we search for information on the internet, and the general quality of our search experience. The experiment by Google with AI in 2015 resulted in the creation of their machine learning-based algorithm, which assists process search results. Since that time, large e-commerce stores have followed suit by incorporating AI into their search engines to enable a smarter product search experience.
BEST WAY TO APPROACH INNOVATIVE TECHNOLOGY
People who are threatened by AI automation and have no interest in learning new skills may get left behind. A lot of digital marketers have taken advantage of this technology, enabling them to use AI automation in their businesses and remain competitive in the always-changing marketing landscape. As a digital marketer, you don’t have a lot to worry about because these jobs already need technological knowledge.
FINAL THOUGHTS
The future of AI will direct brands to a more adaptive model that helps them uncover higher value and do more satisfactory and creative roles. We need to adapt to new technology, skills, and education to fit the future of the workforce and effectively prepare for an intelligent future.
With the predicted growth of AI across all departments and industries, the least a marketer can do is create time to implement AI solutions. By doing this, they’ll be ensuring that their marketing processes are geared towards continued success, both now and in the future. To learn more about how we integrate artificial intelligence in marketing and demand generation, connect with the team at Byonic.AI
