Generative AI will revolutionize marketing by 2027: IDC report

A report from IDC states that generative AI will have a huge impact on the marketing industry by 2027.

Generative AI is a type of artificial intelligence technology that generally describes machine learning systems capable of generating text, images, code, or other types of content, often in response to a prompt entered by a user. Generative AI models learn the patterns and structure of their input training data, then generate new data with similar characteristics. For example, a generative AI model can create realistic images of faces, landscapes or products that do not exist in reality, or write catchy slogans, titles or product descriptions based on a topic or a given keyword.

According to a recent report from IDC, the global leader in market intelligence, generative AI will have a profound impact on the marketing industry by 2027, as it will enable marketers to create more engaging, personalized and diverse content for their target audiences , as well as optimize their campaigns and strategies based on data-driven insights. The report predicts that generative AI will account for 40% of all marketing content creation and optimization by 2027, up from less than 5% in 2023.

Some of the key benefits of generative AI for marketing include:

• Improve creativity and innovation: Generative AI can help marketers unleash their creativity and generate new ideas for their campaigns, products or services, providing them with a variety of options and suggestions based on their input. For example, Generative AI Companies in India use the generative AI tool to create a logo, slogan or name for a new product, or to generate a storyboard, script or video for a new advertising campaign.
• Improve personalization and relevance: Generative AI can help marketers tailor their content and messages to their customers’ preferences, needs and behaviors, using data and analytics to understand their profiles, segments and journeys. For example, a marketer might use a generative AI tool to create personalized emails, landing pages or offers for each customer, or to generate dynamic content that adapts to the customer’s context and situation.
• Increased efficiency and productivity: Generative AI can help marketers save time and resources by automating and optimizing their content creation and delivery processes, using algorithms and models to generate, test and refine their content. For example, a marketer can use a generative AI tool to create multiple versions of a headline, banner, or social media post, then select the best one based on performance metrics and insights. comments.
• Improve quality and consistency: Generative AI can help marketers improve the quality and consistency of their content and brand voice, using standards and guidelines to ensure their content is accurate, relevant and consistent. For example, a marketer might use a generative AI tool to check and correct the grammar, spelling, tone, and style of their content, or to ensure their content complies with company regulations and policies. its sector and its region.

The report also highlights some of the challenges and risks of generative AI for marketing, such as:

• Guarantee ethics and trust: Generative AI can pose ethical and trust issues for marketers and customers because it can create content that is misleading, deceptive, or harmful, or that violates the rights and privacy of others. For example, a generative AI tool may create false or manipulated images, videos, or reviews that may harm a brand’s reputation or credibility, or that may violate a person’s consent or identity. person.
• Managing complexity and security: Generative AI can present complexity and security challenges for marketers and their organizations because it requires advanced skills, tools, and infrastructure to develop, deploy, and maintain. For example, a generative AI tool may require a large amount of data, computing power and storage to train and run, or it may be vulnerable to cyberattacks or malicious use by hackers or competitors.

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