Industry

• Publishing, Audiovisual and Information Communication Industry (JMajor Category)
• Information Services Industry (63Subcategory)

Industry Pain Points

• False Advertising: Advertising copy must not contain false or misleading statements, including exaggerated promotions, false guarantees, and false endorsements. Ad content should be objective and true, matching the actual situation.
• Privacy Protection: Advertising copy must comply with relevant privacy laws and personal data protection policies when using personal data, ensuring legal use and secure protection of user privacy.
• Child Protection: Advertising copy targeting children should avoid misleading content, excessive marketing, inappropriate material, or improper marketing techniques, ensuring the protection of children's rights and safety.
• Specific Industry Regulations: Different industries may have specific regulatory requirements, such as food, pharmaceuticals, and finance. Advertising copy must adhere to these industry regulations and standards, including product promotion requirements, warning notices, and prohibited content.

Introduction to AI Benefits

From a commercial value perspective, it helps enhance the precision, efficiency, and effectiveness of advertising, while saving time and resource costs:

• Personalization and Precision Targeting: AI technology can analyze large amounts of user data for personalized recommendations and targeting, aligning ad copy more closely with the interests, preferences, and needs of the target audience, thereby increasing click-through and conversion rates.
• Automation and Efficiency Improvements: AI can automate the generation and optimization of ad copy, reducing the time and costs associated with manual writing and testing, and can adjust and optimize in real-time based on actual data and feedback, making ad copy more effective and improving the efficiency and results of ad deployment.
• Predictive and Optimized Effects: AI can predict and analyze ad performance based on different variables and factors, providing optimization suggestions. Thus, advertisers can use AI analysis to make strategic adjustments and enhancements, thus improving the effectiveness and returns of advertising.

From a compliance perspective, it assists advertisers in ensuring that ad deployment complies with legal requirements, reducing compliance risk while enhancing the effect and efficiency of the advertising:

• Compliance Control and Risk Management: AI can help advertisers better adhere to relevant laws and industry standards, such as privacy regulations and advertising codes. AI can also automate monitoring of ad copy to ensure it meets legal requirements, avoiding issues such as false advertising and privacy violations, thereby reducing compliance risks.
• Ad Review and Filtering: AI can be used to automatically review ad copy, swiftly detecting non-compliant content or sensitive information, saving manpower and enhancing the efficiency of reviews, while protecting advertisers from legal risks associated with non-compliant ad deployments.
• Monitoring and Tracking of Ad Performance: AI can monitor and analyze the effects of ads to ensure compliance with regulations. It can also track metrics like exposure, click-through rates, and conversion rates, detecting non-compliance timely and providing data support for necessary adjustments and optimizations.

Common AI Technologies or Applications

• Recommendation Systems (Recommendation Systems): Using AI such as content filtering (Content Filtering) and collaborative filtering (Collaborative Filtering) algorithms, based on user's past behavior and preferences to recommend relevant ad copy content.
• Convolutional Neural Networks (Convolutional Neural Networks; abbreviationCNN): Using AI like convolutional neural networks to analyze and identify advertising images, detecting non-compliant content or sensitive information, ensuring regulatory compliance of advertising images and providing a safer advertising environment.
• Generative Artificial Intelligence (Generative AI; abbreviationGAI): Combining natural language processing (Natural Language Processing; abbreviationNLP) with AI such as generative pretrained transformers (Generative Pre-trained Transformer; abbreviationGPT) models, helping understand and identify non-compliant content, optimizing copy expressions, and providing automated review and filtering capabilities, automatically generating ad copy, saving time and manpower expenses, and offering more varied and personalized ad content.

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-05-19」