Marketers were reluctant to use AI in their digital marketing ethics a few-years back but recently, they acquired more confidence in using AI to form their online strategies. As intelligent tools keep on evolving, marketers are dropping down their hesitation and adopting AI solutions to drive digital marketing effectively. AI enables them to make data-driven decisions as the amount of information on potential consumers grows and computer sciences related to AI are gaining the utmost importance.
Below are the 10 most revolutionary applications of AI in the transformation of digital marketing.
In certain areas, content created by AI can be useful in attracting visitors to a website while saving lots of time and resources. As AI can write reports and news based on data and information, Associated Press and Forbes like platforms are already using intelligent tools like Wordsmith, Articoolo, and Quill. It leads to more clicks on their websites. Many renowned platforms like BBC, CBS, the New York Times and Reuters are also implementing this technology. Also, Washington post uses Heliograf to created AI content.
Other than generating content, AI can also curate it. Through this, it will be possible to better connect with visitors on certain websites and show them more relevant content. It is commonly used to make personalized content recommendations that may interest the customer. For example, Netflix's recommendation system gives suggestions for movies and TV shows that customers might find interesting. This subsequently makes customers spend more time on the site or platform.
AI is being used by brands to personalize email marketing campaigns through user preferences and behaviors. It enhances better connectivity with customers and increases the possibility of turning them into clients.
Moreover, ML can analyze millions of data about the customer to determine the best time or day to connect with them. Boomtrain, Phrasee, and Persado are some of the email marketing tools that apply AI for better services.
As one of the fields of digital marketing, digital advertising has adopted AI quite efficiently. The ad platforms of tech giant Google and Facebook have already employed ML and AI to find people more prone to make the advertiser's desired action. The solution analyses the user information to learn and identify the best audience for their brand.
Additionally, Google AdWords already possesses an automatic auction-based system that lets advertisers pay the minimum price per conversion.
AI has introduced two big advancements to revolutionize Internet searches and search engine optimization (SEO) – voice search and Google's algorithm, RankBrain. Voice recognition solutions including Alexa, Google Home, Apple's Siri, and Microsoft's Cortana make it easy for people to perform searches using voice command. Also, the ML algorithm of Google, RankBrain provides more relevant search results. It provides the user with the best results as per what it interpreted from the user's language and context.
Apart from programmer or designer, today AI has also become an ingredient for a good website to exist. Applications like Grid, use AI to design a website based on user-provided information say images, text, calls-to-action, etc. These altogether makes the website look authentic and professional in much less time and at an unbeatable price.
With the help of intelligent algorithms, personalizing an experience on a website is possible. Through the analysis of thousands of data on a single user, AI can display offers and content to which a user can relate. Good user experience is extremely necessary to keep the audience browsing a site. As users will spend more time on the site, the probability of conversion becomes high.
The application of chatbots is making the process of automating responses to potential buyers' frequently asked questions even easier. It provides them with a way to search for the service they're looking for. The AI-powered chatbot has the ability to answer open questions. These bots use natural learning processing and machine learning to find the correct response. It can serve clients 24/7 and retain their data.
It comprises the use of data, statistical algorithms, and machine learning techniques to identify the probability of future conclusions based on data history. It makes possible to predict the probability of a specific prospect of becoming a client. It has the capability to transform marketers from reactive to proactive planners.
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