Eps 1: 5 Ways Of ARTIFICIAL INTELEGENT MARKETING' That Can Drive You Bankrupt - Fast!
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Host
Elaine Freeman
Podcast Content
AI in marketing can process massive amounts of data and help marketers segment it effortlessly. Companies can also leverage AI to give agents feedback, so that they are better equipped to provide support for customers during interactions. Your AI will then work through the data that is given and build out a helpful customer profile to which you can tailor marketing messages. With data obtained from the cookies from the mobile apps and websites that you use/visit, an AI can target specific customers who fit an advertisers or companys criteria.
For instance, if a customer interacts with a chatbot powered by AI to ask customer support questions, the data that they provided becomes part of a profile. Sometimes, questions are handled entirely by an AI-enabled chatbot, making customer service much more effective.
AI-enabled bots, like those at companies like Vee24, can help marketers understand customers needs, boost engagement on searches, push them in a desired direction , and, when necessary, connect them with human sales agents via chat, phone, video, or even cobrowsing - which allows the agent to walk a customer through a shared screen. Through data collected from IAM solutions, marketers can more easily learn what their customers needs are, and how and when they want them. You will also want to see how data alone can be used to enhance audience engagement and target new markets.
With insights into your users, you can make strategic decisions on how best to connect with customers and market new offerings. Then, marketers can break the data further down to build custom content for their audiences. Marketers can also build profiles of customers, which makes it easier to separate those interested in their products from those still considering it or not buying.
Artificial Intelligence marketing would help content marketers to know who their exact target audiences are, thus creating personalized experiences for customers/users. It allows marketers and advertisers to leverage data analytics in digital marketing to build personalized profiles for targeting and retargeting of their ads. User-generated content is an amazing way to create and nurture customer relationships, and to increase brand awareness. As we all know, personalization is a key ingredient for a successful digital-age marketing, as it allows brands to improve their customers experiences in novel and engaging ways.
Machine learning has evolved so it can monitor consumers behaviors, preferences, and content interactions, which allows writers to serve unique pieces of content to different segments of customers, creating a personalised experience people crave. For instance, AI is capable of anticipating customers behaviors from their brand interactions, so companies can connect with them at the perfect times and improve experiences.
The technologies powering these omnichannel strategies contribute to better brand experiences and promotes customer acquisition and retention. Consumers today expect omnichannel customer experiences, in which they get the same level of service and connection across different platforms and touch points, and this is where marketing comes in. As a result, analytics powered by artificial intelligence can help you build products the marketplace is excited about, and target buyers in the most opportunistic times and channels.
In a market that is rife with market uncertainties, AI can help companies gather and correlate data to deliver insights that can drive a winning marketing campaign. With AI providing better insights on customers, brand sentiment, its integration in search and video marketing, as well as its usage in customer support, AI is certainly the future of digital marketing. AI marketing provides the bridge between data science and personalization needs, is rapidly scaled, objective, data-driven, and customer-centric.
AI in marketing is using customer data, machine learning, and other computing concepts to predict an individuals actions or inactions. One of the main ways AI is influencing marketing strategies in a positive way down the line is through effective data extrapolation and processing, improving the customers perception. AI, in the form of algorithms and machine learning, fed data, into the hands of data experts, enhances performance, increases the effectiveness of marketing campaigns, and ROI, while decreasing employee involvement. Machine learning is capable of improving algorithms underlying these technologies in real-time, fed with real data, eventually increasing conversions.
Once companies have acquired the core skills in machine intelligence, along with a large amount of data about customers and markets, they can begin moving away from automated tasks towards machine learning. Pre-made solutions from the market titans are the most fundamental, and most commonly used, examples of algorithms augmenting human labor. Algorithms can help us to automate and scale simple, mechanistic tasks that humans just cannot accomplish on a short deadline.
We heard stories about eBay deploying AI for scaling its marketing, where the NLG algorithms wrote personalized messages for customers. You can see examples of such AI in action at HubSpot Email Marketing, who is using an AI system to customize marketing processes to great effect. AI has the potential to simplify the sales process, using highly granular data about individuals, including geolocation data, in order to craft highly personalized offers for products or services. New AI could be used to extract data directly from videos--text embedded into videos, images, and sounds--to enhance customer search results.
AI tools can do the legwork for you, gathering and analyzing social sentiments to give marketers a better sense of what is working -- and what they need to tweak. The central activities in marketing are understanding customers needs, matching those with products and services, and convincing people to buy -- capabilities AI can greatly augment.