1. Data analysis application scenarios
Data analysis scenario:
For example, when visiting Taobao, the background generally analyzes user data from the following aspects to understand the data model of a product.
1. Acquisition (get users)
To operate a product, you first need to acquire users, that is, to promote. Operators need to analyze the characteristics of their products and the target group they want to promote, and then locate and match the target group. At this stage, it is necessary to pay attention to factors such as traffic, quality, and customer acquisition cost of promotion channels.
Core indicators: exposure, clicks, downloads, installations, activations, CTR, activation rate, installation rate, total number of users;
Analysis methods: trend insight, channel attribution, link tagging, funnel analysis, heat map analysis, grouping analysis, A/B testing, retention analysis;
2. Activate (activate user)
We have acquired new users, so we should consider how to retain these new users and how to increase the user's stay time. This requires us to increase the content, the most products, the more favorable prices, and more attractive users. In terms of strategy, in addition to providing operation modules and content deepening, the product member incentive mechanism growth system will make users more active.
Core indicators: PV (page views), UV (number of unique visitors), DAU/MAU/MAU (number of daily active users);
Analysis method: For a specific point, conduct multi-dimensional combination analysis, retention analysis, conversion analysis, and activity analysis;
3. Improve retention