Post by AI era, hidden consumer desir on Jan 4, 2024 10:01:11 GMT
8 key questions to understand customers and markets that do not change even in the AI era We all want to understand our customers. I think that anyone running a business, regardless of whether they are a marketer, product planner, etc., should be able to answer the following questions. These are not all difficult questions, but they are difficult to answer easily. 8 key questions to understand customers and markets that do not change even in the AI era 8 Key Questions to Understand Your Customers and Markets Limitations of existing data (CRM, FGI, social data, etc.) We use a lot of data to answer these questions. We collect and analyze data in familiar ways, such as CRM data, FGI, and FGD. But there's a dilemma with this data.
So, the data that we have been paying a lot of attention to but is biased is ‘social media buzz data.’ Because social data analyzes text and hashtags, real desires are often obscured. Social listening vs search listeningSpecial DataComparison of 8 key questions to understand customers and markets that do not change even in the AI era We all want to understand our customers.
In the case of CRM data, it is very accurate because it is data of people who have already purchased our products. Although the data is accurate, it is often a sample. It would be a different story if we had enough customers, but would it be enough if we had 100, 1,000, or 10,000 customers? If we try to grow a brand targeting the entire nation, it will not be enough. Data dilemma of existing big data Data dilemma of existing big data So what should we do to increase the parameters? Distortion and bias occur in data with increased parameters. So, the data that we have been paying a lot of attention to but is biased is ‘social media buzz data.’ Because social data analyzes text and hashtags, real desires are often obscured. Social listening vs search listening Comparison of social listening and search listening Social data contains emotions, feelings, and reactions.
So, the data that we have been paying a lot of attention to but is biased is ‘social media buzz data.’ Because social data analyzes text and hashtags, real desires are often obscured. Social listening vs search listeningSpecial DataComparison of 8 key questions to understand customers and markets that do not change even in the AI era We all want to understand our customers.
In the case of CRM data, it is very accurate because it is data of people who have already purchased our products. Although the data is accurate, it is often a sample. It would be a different story if we had enough customers, but would it be enough if we had 100, 1,000, or 10,000 customers? If we try to grow a brand targeting the entire nation, it will not be enough. Data dilemma of existing big data Data dilemma of existing big data So what should we do to increase the parameters? Distortion and bias occur in data with increased parameters. So, the data that we have been paying a lot of attention to but is biased is ‘social media buzz data.’ Because social data analyzes text and hashtags, real desires are often obscured. Social listening vs search listening Comparison of social listening and search listening Social data contains emotions, feelings, and reactions.