Overview
Your analytics dashboard provides insights into business performance. Use data to make informed decisions and identify growth opportunities.
Pro Tip: Review analytics weekly to spot trends early and react quickly.
Dashboard Overview
Key Metrics at a Glance
| Metric | Description | Goal |
|---|---|---|
| Total Views | Product page visits | ↑ Increase visibility |
| Inquiries | Customer messages received | ↑ More leads |
| Conversion Rate | Inquiries ÷ Views | ↑ Better quality traffic |
| Response Rate | % of inquiries answered | > 95% |
| Avg Response Time | Time to first reply | < 2 hours |
Analytics Overview
Views Analytics
Understanding Views
Views represent customer interest in your products:
| View Type | What It Means |
|---|---|
| Product Views | Individual product page visits |
| Store Views | Your store profile visits |
| Search Impressions | Times shown in search results |
Analyzing View Trends
Views Chart
Questions to Ask:
- Are views increasing or decreasing?
- Which days have highest traffic?
- Any seasonal patterns?
Improving Views
| Low Views Issue | Solution |
|---|---|
| Poor search ranking | Optimize titles with keywords |
| Few products | Add more inventory |
| Outdated listings | Update photos and descriptions |
| Missing categories | Tag products correctly |
Inquiry Analytics
Tracking Inquiries
| Metric | Good | Excellent |
|---|---|---|
| Inquiry Rate | 2-5% of views | 5-10% |
| Response Rate | 80%+ | 95%+ |
| Response Time | < 4 hours | < 1 hour |
Inquiry Sources
Understand where inquiries come from:
| Source | % of Total | Action |
|---|---|---|
| Search | 45% | Optimize keywords |
| Direct | 25% | Brand building works |
| Category Pages | 20% | Ensure proper tagging |
| Promotions | 10% | Review ROI |
Inquiry Sources
Product Performance
Top Performing Products
See which products drive the most engagement:
| Rank | Product | Views | Inquiries | Conversion |
|---|---|---|---|---|
| 1 | Diamond Ring 22K | 450 | 45 | 10% |
| 2 | Gold Necklace Set | 380 | 32 | 8.4% |
| 3 | Pearl Earrings | 290 | 20 | 6.9% |
Underperforming Products
Identify products needing attention:
- Zero views in 30 days
- Low conversion rate
- No inquiries despite views
Actions for Underperformers:
- Update product images
- Revise pricing
- Improve description
- Add to promotions
- Consider removing
Customer Insights
Geographic Distribution
See where your customers are:
| City | % of Inquiries | Opportunity |
|---|---|---|
| Mumbai | 35% | Core market |
| Delhi | 25% | Growing market |
| Bangalore | 15% | Untapped potential |
| Others | 25% | Expand reach |
Search Terms
What customers search for:
| Search Term | Frequency | Your Products Match? |
|---|---|---|
| "22k gold necklace" | 120 | ✅ Yes |
| "diamond ring price" | 95 | ✅ Yes |
| "platinum band" | 45 | ❌ No - add products |
Time-Based Analysis
Selecting Time Periods
| Period | Best For |
|---|---|
| Last 7 days | Recent performance |
| Last 30 days | Monthly trends |
| Last 90 days | Quarterly review |
| Custom range | Specific campaigns |
Comparing Periods
Period Comparison
Compare current vs previous period:
- ↑ Green = improvement
- ↓ Red = decline
- → Gray = stable
Actionable Insights
Automated Recommendations
The dashboard suggests actions:
| Insight | Recommendation |
|---|---|
| "3 products have no views" | Update images or promote |
| "Response time increased" | Prioritize inquiry responses |
| "Conversion rate dropped" | Review pricing and images |
| "Traffic spike detected" | Ensure stock availability |
Exporting Reports
Available Exports
| Report Type | Format | Use Case |
|---|---|---|
| Summary Report | Stakeholder review | |
| Raw Data | CSV | Custom analysis |
| Comparison Report | Excel | Period analysis |
Scheduling Reports
Set up automated reports:
- Go to Analytics > Reports
- Click Schedule Report
- Select frequency (daily/weekly/monthly)
- Choose recipients
- Save schedule
Best Practices
Do's ✅
- Check analytics at least weekly
- Act on insights promptly
- Track changes after actions
- Compare periods fairly
- Focus on actionable metrics
Don'ts ❌
- Don't obsess over daily fluctuations
- Don't ignore negative trends
- Don't compare unfairly (e.g., festival vs normal)
- Don't make decisions on single metrics
- Don't forget external factors
Troubleshooting
Data not updating?
- Analytics update every 24 hours
- Clear browser cache
- Check selected date range
- Contact support if persists
Numbers seem wrong?
- Verify selected time period
- Check filter settings
- Compare with source data
- Report discrepancies to support
Missing data?
- Ensure products are published
- Check store is active
- Verify tracking is enabled
- Some metrics need minimum activity
