AI IN CONTENT MARKETING: REVOLUTIONIZING STRATEGIES FOR 2024 AND BEYOND

With businesses in numerous sectors steadily integrating AI and Gen AI, it should come as no surprise that marketing and content marketing are also becoming key areas to innovate and bring about a new era for the sector. In 2022 alone, AI in marketing was valued at $12.64Bn,  with a predicted CAGR of 26.6% from 2023 to 2030 indicating steady growth ahead. In this blog, we will explore some key trends that content marketing agencies should watch out for when considering how they can effectively integrate AI in 2024.

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Trends to watch out for in 2024 :

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1. Hyper-personalization :

Personalization has become a mainstay in marketing. According to a recent survey, 62 percent of customers stated that a brand would lose their loyalty if it delivered a non-personalized experience. With roughly 92% of companies already using AI-driven personalization to drive growth, AI now makes it possible to take the next step and implement hyper-personalization through algorithms that constantly improve their understanding of each customer on a real-time basis, adjusting recommended content, products, and marketing messages on the fly. This will ultimately result in better-suited campaigns and content that strengthen brand loyalty.

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2. Assisted Content Creation :

When it comes to written content and media, AI can help writers, designers, artists, etc. speed up their processes by collecting data, creating drafts, and streamlining editing processes through error detection and suggestions based on current data. As 2024 looms near, the top AI marketing agencies should look to capitalize on the best of AI and human efforts to create engaging content consistently.

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3. Predictive Analytics :

Today, it is essential for digital marketing agencies to make data-driven decisions to ensure that their content is in line with customer expectations. AI can augment decision-making for marketers by collecting vast amounts of data effortlessly to make predictions and forecasts based on customer information. With the global predictive analytics market predicted to reach $28.1Bn by 2026, content marketers should look to make use of AI to gain a better understanding of their customers and the market as soon as they can.

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4. Navigating Data Privacy Concerns :

Customer service has overtaken other functions as executives are making it their main target with generative AI. However, training AI requires large amounts of data, for which the best data can be found through online customer data. This presents its own unique problem as customers are increasingly uncomfortable with their data being collected either by businesses or by governments. With Google set to replace third-party cookies in 2024, both marketers and companies developingAI LLMs (Large Language Models) will need to work together to come up with effective data collection that preserves user privacy. With AI and ML, it will be interesting to see how businesses and marketers in particular navigate data privacy concerns throughout 2024.

The lack of legislation and regulations on AI as of now highlights that these are indeed still the initial stages of AI becoming a part of everyday business. Therefore, 2024 may potentially prove vital as various sectors have dipped their toes into the AI honeypot and will now look to have the right frameworks and strategies for long-term adoption. It is no different for content marketers as with the AI revolution seemingly in full swing, they need to make sure that they take advantage of these innovations and processes to stay ahead of the curve.