What's a strong example of a business objective that is required when adopting an AI-powered solution?

Analysis of Correct Answer(s)

• Profit: This is the most fundamental and overarching business objective for nearly any commercial enterprise. When adopting an AI-powered solution, especially one focused on improving marketing effectiveness ("注重效果的广告认证"), the ultimate goal is almost always to enhance the company's financial health. AI solutions are deployed to optimize various aspects (e.g., ad targeting, bidding, content generation, customer journey) that collectively aim to drive revenue growth while managing costs, thereby directly impacting and increasing profit. It represents the net financial gain and is a comprehensive measure of success for an AI's impact on business outcomes.

Analysis of Incorrect Options

• Marketing spend: While AI can optimize how marketing budget is allocated or potentially reduce wasted spend, "marketing spend" itself is an input or a resource, not an ultimate business objective. The objective is what you achieve with that spend (e.g., sales, profit).
• Cost-per-click (CPC): This is a key performance indicator (KPI) or a metric within advertising, often optimized by AI. While AI might aim to lower CPC, reducing CPC is usually a means to an end. A lower CPC doesn't automatically guarantee higher profit if, for example, the clicks don't convert well or if it leads to an audience less likely to purchase. The ultimate objective is typically to maximize conversions or revenue efficiently, which directly contributes to profit, rather than just minimizing a single cost metric in isolation.
• Cost of goods sold (COGS): This is a significant cost component related to the production and delivery of goods, not typically a primary business objective for an AI solution focused on marketing and advertising effectiveness. While AI can certainly be applied to supply chain optimization to reduce COGS, in the context of "依托AI技术注重效果的广告认证," profit is a more direct and comprehensive objective that encompasses the effect of advertising on revenue and managing relevant costs.