In marketing, artificial intelligence (AI) is occupying a sizable niche. When used properly, it may significantly improve your marketing strategy and performance indicators, increasing the effectiveness, impact, and productivity of your campaigns.
As a result, companies and agencies that want to be successful in the years to come will almost certainly need to embrace AI and become knowledgeable about its many applications in marketing.
This article aims to assist by examining the advantages of AI marketing and providing a list of applications for AI technologies in digital marketing.
It will no longer be possible to compromise on predictive analytics
Jamilyn Trainor, project manager and founder of Muller Expo, says: “At Muller Expo, while running a high-volume trade show marketing campaign, we utilized real-time AI-powered predictive analytics to optimize digital advertising.
In the past, we would run broad geo-targeted ads to exhibitors and attendees weeks in advance of an event.
This time we layered a predictive model that was trained off historic engagement data, including location, time of day, creative, and weather, to coordinate delivery on an hourly basis and performance.
The real-time pause came when we saw lower CTR’s in metropolitan areas during the workday. The AI prescriptive suggested shifting the budget to post-commute hours and testing high-urgency copy.
In under 24 hours, we increased click-through rates in those markets by a whopping 38%, while cost-per-lead was down by nearly 27%. Without automation, we’d never be able to catch this trend fast enough.
AI didn’t replace marketing intuition; it clarified and focused that intuition. Further, it liberated us from the reactive nature of our previous approaches and allowed the team to work on developing creative messaging.
In the time-sensitive world of events, this is the difference between completely filling a venue and metrics indicating a half-full launch.”
AI-Assisted content development
Evie Graham, owner of Waste Direct says: “We’ll begin with content development, which is one of the most evident applications of AI in marketing.
Content can be produced more quickly by generative AI techniques than by any human writer or artist. They may create content that is as basic as taglines and ad copy or as sophisticated as whole blog entries, essays, and press releases.
These tools may also be used to improve already produced text by adding keywords or fixing mistakes. On the other hand, articles may be drafted by AI and subsequently polished by human authors.”
AI-powered market research and customer insights
AI is a remarkable tool for market research. Because it can handle vast volumes of data in a matter of seconds, it performs better than the majority of conventional research tools and techniques.
It can swiftly provide reports and insights with exceptional accuracy and detail, as well as spot patterns.
This is a useful tool for marketers to better understand their target consumers. After that, they can use the data and insights AI has given them to enhance customer happiness and create ads that will really connect with their target audiences.
Media purchasing and paid advertising
Although media purchasing and paid advertisements may be successful, they can also be challenging to control.
Frequently, brands choose the incorrect venue, spend too much or too little on their campaigns, and don’t get the desired outcomes.
AI has the potential to make a difference. It may evaluate data and a range of variables to improve PPC and Google Ads campaigns. It may expand ad reach and modify pricing techniques to maximize the user’s budget.
GEO + AEO Emerges from EO
Harrison Tang, owner of Spokeo says: “The field of traditional search engine optimization, or SEO, is changing dramatically.
User behavior is changing from straightforward keyword searches to more intricate, question-based searches and direct responses as conversational AI technologies like ChatGPT, Gemini, and Perplexity AI become more popular.
This calls for a deliberate shift in the way that content is produced and optimized. This is among the most significant changes in AI marketing that have an effect on exposure.
Let’s explore the new search frontiers:
Generative Engine Optimization (GEO)
This entails optimizing your material so that AI-powered search engines and Large Language Models (LLMs) can use, reference, and summarize it. The goal is to make your material readily discoverable and consumable by AI so that it can reliably draw on it for answers.
Answer Engine Optimization (AEO)
This is the process of organizing your content to directly address user inquiries. This makes it ideal for voice search results, featured snippets, and AI-generated responses.
It’s about becoming the authority on a certain topic.
Boost security and compliance
AI will be essential for safeguarding consumer information, making sure privacy regulations are followed, and spotting fraudulent activity in digital marketing.
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