SayPro Information and Targets Needed for the Quarter

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

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.