Sorting out operational data analysis indicators
2024-11-07 13:54:36 0 Report
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This mind map presents a structured approach to 'Sorting out Operational Data Analysis Indicators,' focusing on key metrics crucial for evaluating performance. It categorizes data into several domains: Article data examines metrics like reading volume, likes, and ad clicks; User data tracks user numbers, daily growth, and retention rates; Activity data assesses engagement through clicks and shares; Transaction amount analyzes financial metrics such as daily and monthly volumes; and Business data evaluates conversion rates. This comprehensive framework aims to enhance understanding and decision-making by systematically organizing and analyzing diverse operational data indicators.
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Outline/Content
Article data
Reading volume
Number of likes
Forwarding volume
Number of collections
Tip amount
Bottom ad click volume
User data
Number of users
Daily increase
Churn rate/Churn rate
Retention rate
Activity data
Clicks
Purchase Quantity
Share amount
Secondary sharing
Transaction amount
Transaction amount during specific activity period
Monthly transaction volume
Daily transaction amount
Transaction Amount Growth Trend
business
Potential customer conversion rate
Order Conversion Rate
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