SayPro Monthly January SCMR-5 SayPro Quarterly Classified Ad Filters and Search Management by SayPro Classified Office under SayPro Marketing Royalty SCMR
Target 1: Enhance Filter Usage
Objective:
Increase the usage of filters by 15% by refining their relevancy and usability, ensuring users can more easily find classified ads.
Background & Rationale:
Filtering is a crucial aspect of classified ad platforms, allowing users to narrow search results and find the most relevant listings. However, user engagement with filters has been lower than expected, leading to a need for refinement. This initiative will be implemented based on insights from the SayPro Monthly January SCMR-5 SayPro Quarterly Classified Ad Filters and Search Management Report, prepared by SayPro Classified Office under SayPro Marketing Royalty SCMR.
Implementation Strategy
Phase 1: User Behavior Analysis (Weeks 1-3)
Goal: Understand current filter usage trends and identify pain points.
- Review Analytics: Analyze data from previous SCMR-5 reports to assess filter interaction, drop-off rates, and search success.
- User Feedback Surveys: Conduct user experience (UX) surveys and collect qualitative insights on filter effectiveness.
- Competitor Benchmarking: Compare SayPro’s filtering system with competitors to identify potential improvements.
Phase 2: Filter Optimization (Weeks 4-6)
Goal: Improve the relevancy and usability of filters based on research findings.
- Refine Filter Categories: Remove redundant filters, add missing categories, and optimize keyword relevance.
- Enhance UI/UX: Simplify filter layouts, add tooltips for guidance, and ensure mobile responsiveness.
- Improve Search Logic: Ensure filters correctly interact with the search function, preventing irrelevant results.
Phase 3: A/B Testing and User Engagement (Weeks 7-9)
Goal: Test and validate filter enhancements before full implementation.
- Launch A/B Testing: Deploy multiple filter versions to test engagement and effectiveness.
- Monitor Performance: Track metrics such as filter click rates, time to find an ad, and user satisfaction scores.
- Collect Feedback: Adjust filters based on user feedback and test results.
Phase 4: Full Deployment & Performance Review (Weeks 10-12)
Goal: Implement successful filter changes and measure progress toward the 15% increase in usage.
- Deploy Updated Filters Across the Platform.
- Run a Marketing Campaign to educate users on improved filtering features.
- Measure KPIs: Compare post-implementation filter usage against the baseline.
Expected Outcomes:
✅ 15% Increase in filter usage and classified ad discovery efficiency.
✅ Higher User Satisfaction due to improved search relevance.
✅ Reduced Bounce Rates by minimizing search frustration.
✅ Improved Conversion Rates as users find what they need faster.
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