In the data age, whether it is product, operation, or any Internet business position, everyone is paying attention to customer acquisition, retention, and revenue, observing indicators around data, and then conducting business analysis to complete various operational actions. The ability of "data-driven operation" is a thinking ability that every Internet person needs to possess. It can efficiently guide our "operational actions" and "decision-making directions", help us abandon the habit of "snap decision-making" at work, and solve business problems rationally and well-founded. Course Catalog ├──Documentation | ├──[6273] The opening words give you a set of "three-stage" standard paths for data-based operations.md 15.81kb | ├──[6274] 01 Indicator system, the first step to think about business logic.md 30.99kb | ├──[6275] 02 Say goodbye to confusion! North Star Indicator, providing direction for business.md 19.07kb | ├──[6276] 03 How to avoid vanity indicators and reasonably define “effective registered users”? .md 25.45kb | ├──[6277] 04 DAU, MAU, UV: Which one is the most valuable activity indicator? .md 21.31kb | ├──[6278] 05 Is it enough to focus on user retention? 3 more retention methods worth your attention.md 16.56kb | ├──[6279] 06 Four steps to a poem: a good way to quickly create an indicator system.md 23.36kb | ├──[6280] 07 Analysis breakthrough: How to capture the main features of data through indicators? .md 28.13kb | ├──[6281] 08 Multidimensional analysis: How to use indicator dimensions to break free from the limitations of vision? .md 20.44kb | ├──[6282] 09 Grasping the key to the problem: using correlation analysis to decompose multiple influencing factors.md 23.19kb | ├──[6283] 10 Operational evaluation: How to measure your operational strategy through data review? .md 32.15kb | ├──[6284] 11 Business survey: How to infer the overall business situation through a small number of samples? .md 26.44kb | ├──[6285] 12 Trend forecasting: How to predict the future development trend of core indicators? .md 24.53kb | ├──[6286] 13 Tools and Methods: How to use the 3A3R model to transform data into operational strategies.md 19.50kb | ├──[6287] 14 Insight and customer acquisition: How to efficiently attract new customers? .md 28.06kb | ├──[6288] 15 Activity (Part 1): How to improve user activity through operational methods? .md 22.55kb | ├──[6289] 16 Active (Part 2): How to perform silent wakeup through user stratification? .md 21.20kb | ├──[6290] 17 Retention: How to improve user retention through data, social and content means? .md 16.98kb | ├──[6291] 18 Revenue: How to increase user revenue contribution through cross-marketing? .md 22.96kb | ├──[6292] 19 Communication (Part 1): How to build a private domain operation system with tens of millions of users? .md 26.38kb | ├──[6293] 20 Propagation (Part 2): How to formulate a million-level fission propagation strategy? .md 18.72kb | ├──[6294] How to use the "pyramid principle" to write a data operation analysis report? .md 25.04kb | └──[6295] Conclusion After work: Kung Fu is outside of poetry, data is in life.md 12.45kb ├──[6273] The opening words give you a set of "three-stage" standard paths for data-based operations.mp4 132.95M ├──[6274] 01 Indicator system, the first step to think about business logic.mp4 164.67M ├──[6275] 02 Say goodbye to confusion! North Star Indicator, providing direction for business.mp4 146.76M ├──[6276] 03 How to avoid vanity indicators and reasonably define “effective registered users”? .mp4 340.85M ├──[6277] 04 DAU, MAU, UV: Which one is the most valuable activity indicator? .mp4 162.18M ├──[6278] 05 Is it enough to focus on user retention? 3 more retention methods worth your attention.mp4 124.10M ├──[6279] 06 Four steps to a poem: a good way to quickly create an indicator system.mp4 128.18M ├──[6280] 07 Analysis breakthrough: How to capture the main features of data through indicators? .mp4 138.86M ├──[6281] 08 Multidimensional analysis: How to use indicator dimensions to break free from the limitations of vision? .mp4 148.38M ├──[6282] 09 Grasping the key to the problem: Using correlation analysis to decompose multiple influencing factors.mp4 158.99M ├──[6283] 10 Operational evaluation: How to measure your operational strategy through data review? .mp4 264.13M ├──[6284] 11 Business survey: How to infer the overall business situation through a small number of samples? .mp4 165.22M ├──[6285] 12 Trend Forecasting: How to predict the future development trend of core indicators? .mp4 209.50M ├──[6286] 13 Tools and Methods: How to use the 3A3R model to transform data into operational strategies.mp4 178.24M ├──[6287] 14 Insight and customer acquisition: How to efficiently attract new customers? .mp4 268.75M ├──[6288] 15 Activity (Part 1): How to improve user activity through operational methods? .mp4 171.04M ├──[6289] 16 Active (Part 2): How to perform silent wakeup through user stratification? .mp4 138.53M ├──[6290] 17 Retention: How to improve user retention through data, social and content means? .mp4 101.20M ├──[6291] 18 Revenue: How to increase user revenue contribution through cross-marketing? .mp4 172.85M ├──[6292] 19 Communication (Part 1): How to build a private domain operation system with tens of millions of users? .mp4 176.56M ├──[6293] 20 Propagation (Part 2): How to formulate a million-level fission propagation strategy? .mp4 145.56M ├──[6294] How to use the “pyramid principle” to write a data operation analysis report? .mp4 213.22M ├──[6295] Conclusion: After work: Kung Fu is outside poetry, data is in life.mp4 78.23M └──Course list information.txt 2.96kb |
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