SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR
Performance Goals
- Complete Monthly Reports on User Behavior and Engagement Metrics
- Objective: Ensure that user engagement and behavior metrics are tracked, analyzed, and reported consistently at the end of each month.
- Deadline: The last week of each month.
- Source of Data: SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights.
- Responsible Team: SayPro Classified Office under SayPro Marketing Royalty SCMR.
- Expected Outcome: Actionable insights into user activity trends, preferences, and engagement patterns that will inform future marketing and platform improvement strategies.
- Key Metrics to Be Analyzed
- User Traffic: Monthly active users, new vs. returning users.
- Engagement Rates: Time spent on the platform, pages per session, and click-through rates (CTRs).
- User Behavior Flow: Navigation paths, most visited categories, and drop-off points.
- Ad Performance: Number of classified ads posted, viewed, and responded to.
- Conversion Metrics: Ad posting to engagement ratio, ad renewal rates, and lead generation from classified listings.
- Regional Performance: Geographic segmentation of user activity and engagement levels.
- Tasks and Responsibilities
- SayPro Classified Office:
- Collect and analyze user engagement data.
- Identify key trends and behavioral shifts.
- Compile findings into a structured report.
- SayPro Marketing Royalty SCMR:
- Review and validate the report findings.
- Develop marketing strategies based on the insights.
- Share insights with stakeholders for decision-making.
- SayPro Classified Office:
- Action Plan
- Week 1-2 of Each Month: Data collection and initial analysis.
- Week 3: In-depth analysis and trend identification.
- Week 4: Report compilation, review, and submission.
- Expected Impact
- Improved understanding of user engagement trends.
- Enhanced targeted marketing strategies.
- Increased efficiency in classified ad performance.
- Stronger data-driven decision-making for platform optimization.
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