Research

Exploring advertising needs and AI tools for effective integration.

A promotional banner with a bold red background features the text 'Data has a better idea' in large white letters. Above the text, the word 'HIVERY' is printed along with a stylized logo resembling a beehive. The background also includes a pattern of blue circles and dots, giving a digital or technological feel. In the surrounding area, there's a partial view of a desk and some office supplies.
A promotional banner with a bold red background features the text 'Data has a better idea' in large white letters. Above the text, the word 'HIVERY' is printed along with a stylized logo resembling a beehive. The background also includes a pattern of blue circles and dots, giving a digital or technological feel. In the surrounding area, there's a partial view of a desk and some office supplies.
A smartphone displaying the 'Copilot' application screen, featuring a colorful logo and tagline 'Everyday AI companion'. The background consists of blurred images of digital applications such as Google Flights, Hotels, and Maps, suggesting various functionalities.
A smartphone displaying the 'Copilot' application screen, featuring a colorful logo and tagline 'Everyday AI companion'. The background consists of blurred images of digital applications such as Google Flights, Hotels, and Maps, suggesting various functionalities.

The research design will be divided into four stages. The first stage is industry research and demand analysis. Through questionnaires, in-depth interviews, case studies, and other methods, we will collect the pain points, needs, and expectations of advertising professionals in AI applications. At the same time, we will investigate the application of existing AI tools and technologies in the advertising field to clarify the design direction of the entry game plan and toolkit. The second stage is tool screening and integration. Based on OpenAI's API and other open-source or commercial AI tool platforms, we will screen out tools suitable for advertising entry scenarios, such as AI copywriting generation tools, audience analysis tools, advertising effect prediction tools, etc., and integrate the functions of these tools and connect the processes through APIs to build a preliminary toolkit. The third stage is the formulation and testing of the game plan.

How can we develop a systematic AI entry game plan and toolkit to help advertising professionals quickly and effectively apply AI technologies to various aspects of advertising business, and explore the best practice models of combining AI with APIs in advertising scenarios? Specifically, it can be broken down into three sub-questions. First, for different subfields of the advertising industry (such as brand advertising, performance advertising, social media advertising, etc.), which AI tools and technologies are the most fundamental and necessary entry choices? How can we integrate these tools based on APIs to form a standardized entry process and reduce the threshold for technology application? Second, in actual business scenarios such as advertising creative generation, target audience positioning, and advertising placement optimization, how can we use the AI entry game plan and toolkit to achieve intelligent upgrades of business processes and improve the efficiency and effectiveness of advertising placement? Third, with the continuous development of AI technologies and the dynamic changes in the advertising market, how can we continuously update and optimize the AI entry game plan and toolkit to ensure that advertising professionals can always master the latest AI application skills and industry trends?