{"id":1667,"date":"2022-07-08T01:35:10","date_gmt":"2022-07-07T17:35:10","guid":{"rendered":"https:\/\/digitspark.co\/blog\/digital-insight-from-advertising-analyst-part-2\/"},"modified":"2025-12-16T04:54:24","modified_gmt":"2025-12-15T20:54:24","slug":"digital-insight-from-advertising-analyst-part-2","status":"publish","type":"blog","link":"https:\/\/digitspark.co\/en\/blog\/digital-insight-from-advertising-analyst-part-2\/","title":{"rendered":"[Understanding Marketers] There’s a professional perspective on advertising (Part 2): Looking at reports is only half the battle; where do professional advertising professionals get their precise insights?"},"content":{"rendered":"

In the last “Linker AI Intelligent Advertising” session, expert Tony shared with us what professional advertising placement is and introduced what data-driven advertising is. But beyond using data tools, how do we use them well and accurately? Human experience is key! Let’s continue to see how Tony serves clients and perfectly combines artificial intelligence and human intelligence.<\/p><\/blockquote>\n

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5. Using data and your professional know-how, how do you help clients review their existing advertising strategies and plan new ones when working with them?<\/span><\/h3>\n

I will\u00a0analyze the client’s past advertisements from two aspects: ”\u00a0<\/span>ad content<\/span><\/strong>\u00a0” and ”\u00a0<\/span>ad placement ” to further plan the next steps for cooperation.<\/span><\/strong><\/p>\n

“Ad content” is relatively easy to understand; although we are not advertising designers, we analyze hundreds of ads designed by our clients every day to see which one is eye-catching and which one has a high conversion rate. Therefore, we can offer suggestions on the ads provided by our clients, such as “what kind of images and text, and how to express our views, might be more persuasive for these consumers.” If our clients want to actually experiment with it, that’s of course no problem either.<\/span><\/p>\n

In addition, regarding our expertise in data, as mentioned earlier, the AI \u200b\u200brobot generates new customer groups every week.\u00a0<\/span>We will specifically advise clients on how to customize and adjust advertising content for these newly discovered customer groups<\/span><\/strong>\u00a0to ensure that every ad campaign is something that consumers will accept.<\/span><\/p>\n

In the “Ad Placement” section, we analyze the client company’s past advertising performance, comparing it with successful case studies of similar companies: impressions, clicks, conversion rates, and bounce rates.\u00a0<\/span>This establishes a target benchmark, allowing us to understand how much improvement has been achieved in the next evaluation<\/span><\/strong>\u00a0. Furthermore, based on the client’s product and consumer habits, we\u00a0<\/span>analyze the expected benefits of placing ads on different channels<\/span><\/strong>\u00a0, helping the client consider how to allocate their resources and how to optimize for the future.<\/span><\/p>\n

In addition, data AI can also help us\u00a0<\/span>anticipate potential risks<\/span><\/strong>\u00a0. For example, if we can see that a product’s honeymoon period in the market is only two weeks on average, then based on the speed at which the hype fades, we do not recommend that the product’s advertising incubation period be too long. Instead, we must change it to short-term, high-exposure advertising.<\/span><\/p>\n

Further Reading: What is A\/B Testing? One of the Most Important Tasks of an Ad Optimization Specialist<\/span><\/a><\/p>\n

6. When companies invest in advertising, they typically aim for “high conversion rates.” In your experience, what blind spots have you encountered that, from a professional advertising perspective, are “things that shouldn’t be done” or “there should actually be a better XXX strategy”?<\/span><\/h3>\n

There are three points that I think are common blind spots, which I will explain in three parts.\u3002<\/p>\n