SayPro Performance Metrics Review: Review feature engagement metrics (e.g., clicks, interaction rates) and prepare a quarterly report from SayPro Monthly February SCMR-17 SayPro Quarterly Marketplace Features by SayPro Online Marketplace Office under SayPro Marketing Royalty SCMR
Objective
The Performance Metrics Review is a quarterly analytical initiative by the SayPro Online Marketplace Office to assess how recently launched or optimized features are performing on the SayPro platform. The objective is to evaluate user interaction data, identify trends, detect underperformance, and offer data-backed recommendations to the product, marketing, and design teams for continuous improvement.
Core Performance Indicators Monitored
For each feature, SayPro tracks and analyzes the following core Feature Engagement Metrics (FEMs):
Metric | Description |
---|---|
Click-Through Rate (CTR) | % of users who clicked on a feature element |
Interaction Rate | % of users who engaged with a feature beyond a view (e.g., filter applied, message sent) |
Time Spent | Average time a user interacted with a feature (if applicable) |
Drop-Off Rate | % of users who exited after initial feature exposure |
Conversion Impact | Influence of the feature on the next step (e.g., product view, cart add) |
Device Engagement Split | Desktop vs. Mobile usage of the feature |
Features Reviewed – Q1 2025
- Smart Messaging Center
- Enhanced Product Reporting Dashboard
- Sticky Filters Panel (Beta)
- Wishlist Optimization Enhancements
Feature-Wise Metrics Summary
1. Smart Messaging Center
Metric | Result | Benchmark | Notes |
---|---|---|---|
CTR | 68% | ≥ 60% | Strong visibility from product pages |
Interaction Rate | 54% | ≥ 45% | High real-time messaging use |
Avg. Time Spent | 2.3 mins | ≥ 2 mins | Healthy engagement |
Drop-Off Rate | 12% | ≤ 15% | Low drop-off after first open |
Conversion Impact | +9% in product inquiry-to-sale | — | Significant sales facilitator |
Device Split | 62% Mobile / 38% Desktop | — | Mobile-first interaction confirmed |
Recommendation: Expand chat to checkout and delivery stages. Include suggested questions (AI-powered).
2. Enhanced Product Reporting Dashboard
Metric | Result | Benchmark | Notes |
---|---|---|---|
CTR | 41% | ≥ 50% | Slightly below expectations |
Interaction Rate | 34% | ≥ 40% | Moderate filtering/report export activity |
Avg. Time Spent | 1.6 mins | ≥ 2 mins | Below target; needs simplification |
Drop-Off Rate | 28% | ≤ 20% | High for new users |
Conversion Impact | +2.1% on restock timing efficiency | — | Useful for power sellers |
Device Split | 83% Desktop / 17% Mobile | — | Mostly accessed by vendors on desktop |
Recommendation: Add tooltips and onboarding pop-ups for new vendors. Improve mobile usability and default views.
3. Sticky Filters Panel (Beta Rollout)
Metric | Result | Benchmark | Notes |
---|---|---|---|
CTR | 73% | ≥ 60% | Strong visibility during scroll |
Interaction Rate | 66% | ≥ 50% | High use of multi-select filters |
Avg. Time Spent | 3.5 mins on filtered sessions | ≥ 2.5 mins | Excellent performance |
Drop-Off Rate | 7% | ≤ 10% | Very low; effective UX |
Conversion Impact | +11.2% in product view-to-cart adds | — | Major discovery accelerator |
Device Split | 50/50 Mobile/Desktop | — | Balanced engagement across devices |
Recommendation: Roll out to 100% of users and introduce quick-access buttons for common filter presets.
4. Wishlist Optimization Enhancements
Metric | Result | Benchmark | Notes |
---|---|---|---|
CTR | 59% | ≥ 55% | Slightly above target |
Interaction Rate | 48% | ≥ 45% | Users are saving items more frequently |
Avg. Time Spent | 1.9 mins | ≥ 2 mins | Near benchmark |
Drop-Off Rate | 19% | ≤ 15% | Some drop-off after item saved |
Conversion Impact | +6.5% on wishlist-to-purchase flow | — | Good intent signal |
Device Split | 71% Mobile / 29% Desktop | — | Mobile is primary wishlist channel |
Recommendation: Send personalized wishlist reminder emails; add “wishlist-based bundles” to increase AOV.
Quarterly Insights & Recommendations
Insight | Action |
---|---|
Messaging drives conversion, especially on mobile | Extend chat into post-sale support and checkout queries |
Reports dashboard underperforms with new users | Add tooltips, video guides, and onboarding checklist |
Sticky Filters show strong engagement | Move from beta to full launch + add quick toggles |
Wishlist improvements spark interest | Use wishlist data in marketing retargeting & upsell flows |
Timeline of Metric Tracking (Q1 2025)
Week | Activity |
---|---|
Week 1–2 | Baseline metric collection after feature rollout |
Week 3 | A/B testing filters and wishlist variations |
Week 4 | Mid-cycle engagement review + bug hotfixes |
Week 6 | User survey collection and heatmap analysis |
Week 8 | Final data export + report generation |
Week 10 | Review meeting with product + UX teams |
Included Artifacts
- Excel-based metrics dashboard (.xlsx)
- Google Data Studio performance graphs
- Heatmap screenshots (Hotjar)
- A/B test variant breakdown
- Qualitative feedback summaries from users
Conclusion
The SayPro Performance Metrics Review for Q1 2025 confirms that:
- Features like Smart Messaging and Sticky Filters significantly enhance engagement and conversion.
- The Reporting Dashboard needs usability improvements to increase adoption.
- Wishlist Enhancements are valuable but benefit from follow-up marketing integration.