Latest AI Marketing Blog & Articles in 2023

On the contrary, AI allows the marketing team to have better insights into the market structure and approach prospects with products and services that are useful to them. AI utilizes big data analytics, ML and other advanced processing technologies to learn about the audience, which helps organizations make decisions that dovetail with their goals and clients’ needs. AI tools rely on large volumes of data to enable them to make predictions and grow — the more they gain access to valuable data, the better they become. That is why 63% of advertising technology leaders in the United States are utilizing AI to navigate the turbulent future of advertising. If you been following news or just scrolling through your LinkedIn feed, you know that it’s a rapidly advancing field that combines technology and marketing.

Persado says the company already works with 250 marketers across retail, finance, and hospitality. However, the publisher insists it isn’t looking to replace human writers with robots. Instead, it’s using tools from OpenAI to deliver personalized content at scale in a way that wouldn’t be possible without automation and artificial intelligence. Artificial intelligence marketing (AI Marketing) is leveraging customer data and AI concepts like machine learning to anticipate your customer’s next move and improve the customer journey.

AI Marketing Pros and Cons

Marketing teams can then spot consumer trends and make automated adjustments to their campaigns. To understand customer behavior, predict future outcomes, and create highly personalized marketing campaigns that hit the right chord with AI marketing strategy. A big portion of digital marketing is all about creating interesting and engaging content like blog posts, videos, and social media posts. Branded content is the secret sauce that helps you build your brand, gain trust, and connect with people in a meaningful way. By sharing valuable and interesting content, you can drive more visitors to your website, keep them coming back for more, and ultimately turn them into loyal customers.

Kumar et al. (2019) provide a systematic exploration about the role of AI in personalized engagement marketing, an approach to create, communicate, and deliver personalized offering to customers. Huang and Rust (2020) show that feeling AI can be used to engage customers in service interaction. Powerful social marketing platforms, like Sprout, weave together sophisticated AI technologies under the hood to provide the insights you need to succeed. Marketing messages should be informed by a user’s interests, purchase history, location, past brand interactions, and a host of other data points. AI marketing helps marketing teams go beyond standard demographic data to learn about consumer preferences on a granular, individual level.

Artificial Intelligence for Marketing: Practical Applications

AI technology can be semi or fully automated depending on the level of freedom and responsibility you give to the software. Semi-automated marketing AI tools allow humans to have some control over the system and processes. On the other hand, fully automated AI marketing software reserves control over developing, designing and implementing those strategies that drive results. Fully automated AI tools are primarily used in limited instances, at least for now. Top marketing agencies and departments understand that data is only helpful if understood within context. This makes it clear why corporations that demonstrate high revenue growth is more likely than their competitors to utilize AI in their marketing efforts.

Therefore, we follow Floridi et al. (2018) and subsume privacy under the non-maleficence principle. Second, synthesizing transparency, intelligibility, responsibility, and accountability as explicability accounts for the interrelationships of these themes (e.g., Coeckelbergh, 2020; de Laat, 2018; Lepri et al., 2018; Martin, 2019; Morley et al., 2020). Judgments about the responsibility or accountability for AI-based decision outcomes necessitate a certain understanding of the underlying processes leading to these decisions (i.e., transparency or intelligibility). That is, transparency can be a key enabler of and prerequisite for accountability (Lepri et al., 2018). Third, we concur with prior research that considers trust as an outcome of ethical principles (e.g., Thiebes et al., 2020) and AI characteristics (e.g., Glikson and Wolley, 2020). Besides, others scholars even claim that “one needs to either change ‘trustworthy AI’ to ‘reliable AI’ or remove it altogether” (Ryan, 2020, p. 2765).

Imagine Business Development Sees 100% Conversion Boost With AI-Led Email Timings

You can also leverage AI to make more informed and data-driven decisions through the insights AI marketing gathers through its data collection, hence improving overall marketing. How can AI help position your marketing strategies for success in the years to come? And for more on how artificial intelligence is transforming industries, check out our blog.

AI marketing also takes into account the fact that existing AI models are not perfect. To achieve true advantages and accuracy in deriving business insights, AI in business needs to be fair, secure, reliable, inclusive and transparent. This means that AI tools need to be developed more thoughtfully and trained with diverse data to remove biases. These entities could be important people, places or things such as CEOs, celebrities, locations, currencies, businesses and others.

Take the next step with our CRM Marketer evolution curve

Content is distribution is targeted, tested, and improved based on insights into audience behavior and evolving marketing goals. Audience engagement must be tracked and optimized to improve content performance as the campaign progresses. It requires significant time and resources to identify and create content that is both relevant and engages your audience. Content marketing isn’t about throwing up a few blog posts, it’s about helping your potential customers and being there through every touchpoint along the buyer’s journey.

With this information, you can create relevant content that is targeted to the needs of your audience. This increases the engagement of your content and increases the chances of your audience is more receptive to your products and services when they decide to make a purchasing decision. Ethical issues related to AI are not static and uniform but differ across areas of application, technological sophistication, and pervasiveness. Following Moor (2005), we assume that ethical challenges and tensions (can) increase with the level of intelligence and degree of humanization of AI (see Fig. 3). As conceptualizations of the AI development stages are multi-faceted and deviate (Davenport et al., 2020; Huang & Rust, 2021b; Kaplan & Haenlein, 2019), they are also subject to temporal change (Stahl et al., 2021), and transitions between stages are rather fluid. Therefore, we simplistically refer to increasing levels of intelligence capturing the transition from cognitive (analytical, mechanical) to emotional (feeling) and social intelligence of AI systems and applications and an increasing degree of humanization.

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• That’s why Simplilearn offers a comprehensive Digital Marketing certification course that trains marketers in eight areas, including search engine optimization (SEO), email marketing, social media marketing, and more.
• To date, the development of artificial moral agents is still in its infancy (e.g., Cervantes et al., 2020).
• Digital content will be developed faster, helping improve the overall output of teams, while at the same time overseeing the delivery of accurate messaging.
• However, in order to get the most use out of your AI marketing tools, you have to start by asking yourself what you want to get out of them.