UseCasesFor.ai

AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

Sign up

to receive a PDF containing all the use cases and stay updated with the latest AI trends and news (you can always unsubscribe)

Ad copy creation

Introduction

The effect of Generative Artificial Intelligence (AI) on advertising has been to revolutionize it in more ways than one. Thus, Gen AI has immensely enhanced the ad copy creation capabilities with the help of efficiency, precision, and the level of personalization that was hitherto unachievable. This is possible due to predictive analytics, machine learning, and natural language processing of Gen AI that is able to generate ad content that is relevant to the consumer’s interest, hence making the ads more effective. Also, AI can process large amount of data to gain insights about consumer behaviour and their preferences which makes it possible for AI to create very specific and relevant ad campaigns. With the help of AI, it is possible to automate the process of generating ad copy which in turns increase efficiency for businesses and hence they can concentrate on other business activities.

Challenges

It is regrettable to note that, developing of a unique, efficient, and targeted ad copy is not an easy task even when it comes to developing an appealing and specific ad copy. A major challenge is the size of the operation. Due to the growth of the marketing industry to the global level, it becomes necessary for the businesses to develop numerous ad copies for targeting different groups of consumers. This leads to the problems of time and the costs as well. Another challenge is the relevance of the content. Therefore, it is a huge challenge to make ad copies up-to-date and interesting. Furthermore, the absence of the data-based knowledge about consumer behavior and their preferences makes the strategy of ‘try and see’ ineffective and costly in terms of advertising. Finally, the lack of personalization in ad copies does not catch the attention of the target audience, thus leading to poor conversion rates.

AI Solutions

This is where Gen AI is shown to be a great solution to the challenges faced. As such, Gen AI is capable of generating ad copies automatically, in large quantities, personalized to the consumer’s taste, and within a fraction of the time that it would take a human. For instance, Gen AI tools can process large sets of consumer data, identify the patterns and deliver the ad copy that would appeal to the target consumers. Also, Gen AI is capable of self-learning and adjustment to the changing customer behavior with the ad copy. Some of the companies that are applying AI to create marketing language which is better than human writing include Phrasee and Persado.

Benefits

There are several advantages of using Gen AI in ad copy creation. First, it is scalable. Gen AI can create thousands of ad copies where a human can create one, and hence cuts down the time and effort needed for ad copy creation. Second, it is precise. By understanding the individual consumer, Gen AI can produce tailored ad copies that may capture the attention of the intended consumer. Third, it is data-based. Through understanding customer behaviour and tastes, Gen AI is able to create ad copies which are likely to be more effective in reaching the target audience. Fourth, it is flexible and can be set to improve over time. This means that as the world changes and consumers’ behavior and tastes shift, the gen AI will also change to produce relevant and interesting ad copy. The benefits of using Generative AI in ad copywriting are numerous. First, it is scalable. Gen AI can create thousands of ad copies within the time a human being would take to write one, hence reducing the time and costs needed for ad copywriting. Second, it is specific. Understanding the consumer as a person, Gen AI can produce specific ad copies that may capture the consumer’s interest. Third, it is data-driven. Through knowing the customer’s behavior and his or her preferences, Gen AI is able to come up with ad copies that are likely to get the attention of the target audience thus making the advertising effective. Fourth, it is dynamic and can be set up to evolve over time. Thus, it follows that as the world changes and people’s behavior and tastes shift, the gen AI also changes to produce relevant and high- converting ad copy.

Return on Investment

It is estimated that the Rate of Return (RO I) of applying Gen AI in creating ad copies is high. With generating ad copies at large and within a short time, and in a fraction of the time, the costs of creating ad copies can be cut down significantly. In addition, with the creation of unique and compelling ad copies, it will be possible to enhance the conversion rates thus increasing the sales and revenue. For example, in Persado, an AI-enabled copywriting tool has been found to enhance client engagement rates by 68.4% and click-through rates by 41.5% thus greatly improving the ROI.

Choose Topic