Marketing departments should be the first to adopt new technologies such as artificial intelligence (AI), which is already reshaping B2B (business to business) and B2C (business to consumer) companies’ strategies.
It can do this by improving customer engagement, campaign optimization, and conversions to achieve remarkable ROI. This is the kind of benefit we first saw in the computer age. So here’s what investors should expect from business leaders when it comes to AI.
Embrace automation
At its most basic level, automating tasks like email, text messages, and social media posts frees up time for strategic activities and enables personalized experiences at scale.
By using AI to handle mundane tasks, brands can become consistent across virtually every channel customers interact with.
Optimize digital communications and get personal
The next step in the automation journey is to deploy personalized communications and AI-powered chatbots across digital platforms to improve brand visibility and engagement.
Although it was previously a very expensive endeavor, the advent of generative AI has made this type of analysis and automation much more accessible to mid-sized businesses.
This optimization drives customer engagement and conversions by addressing basic questions and providing personalized product recommendations and content at times when a customer is likely to churn.
Using Generative AI for Content
Generative AI is revolutionizing content creation, helping businesses produce high-quality content efficiently.
This is especially useful for B2B companies like IBM and Oracle, or companies of similar size that are used to long sales cycles that rely on educating their customer base. Both now use AI-powered tools to generate personalized content, guides and reports.
It is important to note that the information they provide is the same. It is the cost of producing reports that is reduced. If a company isn’t using AI for its content, the burning question is: why not?
It is important to keep in mind that even with this ability to produce content in a rapid manner, there is still a need for human input with regular reviews of the copy produced by generative AI and to ensure that references and Data points are correct and up to date. before publication.
Implementing Predictive Analytics
The final frontier for most companies when it comes to AI in marketing is predictive analytics. Predictive analytics helps predict customer trends and behavior, which helps businesses make data-driven decisions.
This may seem abstract for a simple SMB, but think about how powerful it is to predict how, for example, unseasonably cold weather might affect a solar company’s sales cycles. This optimization helps marketing reach customers when they are most receptive and not waste resources when the data shows it’s a losing proposition.
AI-driven marketing is here and a golden opportunity for forward-thinking businesses to outperform their competitors.
For the first time, with AI-powered marketing and customer engagement platforms, businesses of all sizes have access to automation, multi-channel marketing, digital optimization, content creation, personalization, predictive analytics and performance analysis. The AI marketing revolution is here, ready or not.
This article was developed in collaboration with Pendula, a Stockhead advertiser at the time of publication.
This article does not constitute advice on financial products. You should consider obtaining independent advice before making any financial decisions.
