Understanding Your Analytics Dashboard
Learn how to use Linked.Church analytics to track page views, link clicks, visitor behavior, and make data-driven decisions for your church's online presence.
Analytics help you understand how people interact with your church's link page. This data empowers you to make informed decisions about content, timing, and engagement strategies. Let's explore how to use your analytics dashboard effectively.
Accessing Analytics
- Sign in to your Linked.Church dashboard
- Click "Analytics" in the navigation menu
- Select your date range (default: Last 30 days)
- View comprehensive metrics and insights
Dashboard Overview
Your analytics dashboard is divided into key sections:
- Overview Metrics: High-level performance indicators
- Traffic Analytics: Visitor patterns and sources
- Link Performance: Individual link statistics
- Visitor Insights: Device, location, and behavior data
- Trends: Performance over time
Key Metrics Explained
Page Views
What It Measures: Total number of times your link page has been viewed
Why It Matters:
- Indicates overall reach
- Shows growth trends
- Helps measure campaign effectiveness
- Benchmarks performance
Healthy Ranges:
- New churches: 100-500 views/month
- Established: 1,000-5,000 views/month
- Large churches: 5,000+ views/month
Unique Visitors
What It Measures: Number of individual people visiting your page
Understanding the Difference:
- Page Views: Total visits (including repeats)
- Unique Visitors: Individual people
- Example: 1 person visiting 5 times = 5 views, 1 unique visitor
What to Look For:
- Growing unique visitors = expanding reach
- High views per visitor = engaged audience
- Low repeat visits = need for fresh content
Click-Through Rate (CTR)
What It Measures: Percentage of visitors who click at least one link
Calculation: CTR = (Visitors who clicked / Total visitors) × 100
Benchmarks:
- Excellent: >80%
- Good: 60-80%
- Average: 40-60%
- Needs improvement: <40%
Total Link Clicks
What It Measures: Combined clicks across all your links
Analysis Tips:
- Compare to page views
- Track weekly patterns
- Identify peak engagement times
- Monitor growth trends
Traffic Sources
Understanding where visitors come from helps you focus marketing efforts.
Direct Traffic
- Visitors typing your URL directly
- QR code scans
- Bookmarked pages
- Email link clicks
Social Media Traffic
- Instagram bio links
- Facebook posts
- Twitter/X shares
- Other social platforms
Referral Traffic
- Your main website
- Partner churches
- Community sites
- Blog mentions
Search Traffic
- Google searches
- Bing searches
- Other search engines
- Often indicates good SEO
Link Performance Analysis
Each link shows detailed metrics:
Individual Link Metrics
Click Count
- Total clicks for the period
- Daily average
- Peak click times
- Trend indicators
Click Rate
- Percentage of page visitors who clicked
- Higher rates indicate relevance
- Lower rates suggest repositioning
Last Clicked
- Most recent interaction
- Helps identify stale content
- Guides update decisions
Performance Indicators
🔥 Hot Links (>20% click rate)
- Your most engaging content
- Consider highlighting further
- Analyze what makes them successful
📈 Trending Links (Growing clicks)
- Increasing in popularity
- May need better positioning
- Watch for sustained growth
💤 Cold Links (<5% click rate)
- Low engagement
- Consider removing or repositioning
- Update title or description
⚠️ Stale Links (No recent clicks)
- Outdated or irrelevant
- Schedule for removal
- Replace with fresh content
Time-Based Analytics
Daily Patterns
Peak Days:
- Sunday: Highest traffic (service days)
- Wednesday: Mid-week spike (programs)
- Saturday: Planning visits
- Monday: Lowest typically
Optimization Tips:
- Schedule updates before peak days
- Post new content Thursday/Friday
- Major changes mid-week
- Analyze your specific patterns
Hourly Patterns
Common Peak Hours:
- 8-9 AM: Morning routine
- 12-1 PM: Lunch break
- 6-8 PM: Evening browsing
- 9-10 PM: Before bed
Using This Data:
- Time sensitive announcements
- Schedule link visibility
- Plan social media posts
- Staff availability
Seasonal Trends
High Seasons:
- Easter (March/April)
- Christmas (December)
- Back-to-school (August/September)
- New Year (January)
Low Seasons:
- Summer vacation (July)
- Holiday weekends
- Weather events
- Local factors
Visitor Demographics
Device Analytics
Device Types:
- Mobile: 70-80% typically
- Desktop: 15-25%
- Tablet: 5-10%
Optimization Priorities:
- Mobile-first design essential
- Test all changes on phones
- Ensure touch-friendly buttons
- Quick loading times
Geographic Data
Location Insights:
- Primary service area
- Visitor reach
- Growth opportunities
- Multi-campus insights
Using Location Data:
- Local SEO optimization
- Targeted social media
- Event planning
- Campus decisions
Browser & OS Data
Why It Matters:
- Compatibility testing
- Feature support
- Performance optimization
- Troubleshooting issues
Creating Reports
Weekly Reports
Include:
- Total page views
- Unique visitors
- Top 5 clicked links
- Traffic sources
- Week-over-week change
Action Items:
- Update underperforming links
- Highlight trending content
- Plan next week's updates
- Share wins with team
Monthly Reports
Comprehensive Metrics:
- Growth trends
- Link performance ranking
- Traffic source analysis
- Visitor demographics
- Goal progress
Strategic Planning:
- Content calendar updates
- Campaign effectiveness
- Resource allocation
- Team training needs
Special Event Reports
Track:
- Pre-event link clicks
- Registration numbers
- Day-of engagement
- Post-event follow-up
- ROI analysis
Using Analytics for Decision Making
Content Optimization
High-Performing Content:
- Keep prominent position
- Create similar content
- Share success patterns
- Document what works
Low-Performing Content:
- Test new titles
- Try different positions
- Add descriptions
- Consider removal
Layout Decisions
Data-Driven Changes:
- Move popular links up
- Group related high-performers
- Test different orders
- Monitor impact
Marketing Focus
Channel Prioritization:
- Invest in high-traffic sources
- Test new channels
- Optimize successful campaigns
- Reduce ineffective efforts
Advanced Analytics Techniques
A/B Testing
Test Elements:
- Link titles
- Button colors
- Page layouts
- Descriptions
- Icons
Process:
- Change one element
- Monitor for 1-2 weeks
- Compare metrics
- Keep winning version
- Test next element
Conversion Tracking
Set Up Goals:
- Online giving clicks
- Event registrations
- Newsletter signups
- New visitor forms
- Volunteer applications
Measure Success:
- Goal completion rate
- Conversion paths
- Drop-off points
- Optimization opportunities
Cohort Analysis
Track Groups:
- First-time visitors
- Returning visitors
- Social media visitors
- QR code users
- Event attendees
Compare Behaviors:
- Engagement levels
- Link preferences
- Visit frequency
- Conversion rates
Common Analytics Mistakes
Avoid These Pitfalls
Focusing Only on Vanity Metrics
- Page views without context
- Ignoring engagement quality
- Missing conversion data
- Celebrating wrong wins
Making Too Many Changes
- Can't identify what worked
- Confuses regular visitors
- Difficult to measure impact
- Reduces learning opportunity
Ignoring Seasonal Patterns
- Misinterpreting drops
- Poor timing decisions
- Missed opportunities
- Incorrect comparisons
Not Acting on Data
- Analysis paralysis
- Collecting without using
- Missing optimization chances
- Wasted potential
Analytics Best Practices
Regular Review Schedule
Daily (5 minutes):
- Check unusual spikes/drops
- Monitor live campaigns
- Verify link functionality
Weekly (30 minutes):
- Review performance trends
- Update content strategy
- Plan improvements
- Share insights
Monthly (1 hour):
- Deep dive analysis
- Strategic planning
- Team reporting
- Goal setting
Data-Driven Culture
Foster Analytics Thinking:
- Share insights with team
- Celebrate data wins
- Learn from failures
- Encourage experimentation
Make It Accessible:
- Simple report formats
- Visual dashboards
- Regular updates
- Clear action items
Privacy and Ethics
Respecting Visitor Privacy
We Track:
- Aggregate behaviors
- General patterns
- Performance metrics
- Anonymous data
We Don't Track:
- Personal information
- Individual journeys
- Private data
- Identifying details
Transparency
Communicate:
- What you track
- Why it matters
- How it helps
- Privacy protection
Next Steps
Maximize your analytics impact:
Remember: Analytics are only valuable when they drive action. Use these insights to better serve your congregation!