Although the data is accurate it is often

arafatrahman87a

This is one of the big misconceptions about AARRR. Improving customer acquisition channels without the activation and retention stages in place will only increase the churn rate. We recommend improving the activation and retention stages first. Myth: When customer acquisition performance stagnates, finding a new channel will solve the problem? Many marketers devote a lot of resources to finding and testing new marketing channels when their performance at the customer acquisition stage has plateaued. Of course, you may have missed some channels, but simply adding new channels will not improve your customer acquisition performance. Before adding new channels, you need to think about optimizing existing channels first. conclusion So far, we have learned about the customer acquisition and activation stages of the AARRR framework.


Growth hacking through the AARRR framework is an important strategy for continued growth and customer satisfaction. We recommend Cambodia Phone Number Data that you first set internally agreed upon standards so that you can accurately measure indicators and establish appropriate strategies at each stage. 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. In the case of CRM data, it is very accurate because it is data of people who have already purchased our products. 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. Therefore, only part of what people feel can be shown. Customers’ actual desires, desires, and concerns are hidden beneath the surface. So what is the data that can reveal these desires and concerns? This is search data. Unbiased, comprehensive data search data Search data, which is unbiased comprehensive data Search data, which is unbiased comprehensive data If you look at search data, you can see what 53 million people are worried about. Search data does not contain bias and contains honest concerns.