Quickleap provides detailed analytics for every redirect, giving you deep insights into your traffic patterns, user behavior, and redirect performance.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/dishant0406/quickleap/llms.txt
Use this file to discover all available pages before exploring further.
Dashboard overview
The analytics dashboard provides a comprehensive summary of your redirect performance, including:- Total hits and traffic trends over time
- Geographic distribution of visitors
- Device and browser breakdowns
- Top referral sources
- Peak traffic patterns
- Status code distribution
Analytics are collected based on your redirect’s sampling rate. A 100% sampling rate captures all traffic, while lower rates provide statistically representative samples.
Core analytics
Basic statistics
View essential metrics including total hits, unique visitors, and redirect success rates for any time period.
Hits over time
Track traffic patterns with customizable time intervals (hourly, daily, weekly) to identify trends and spikes.
Dashboard summary
Access a comprehensive overview combining all key metrics in a single, actionable view.
Period comparison
Compare traffic between different time periods to measure growth and identify changes.
Geographic analytics
Understand where your traffic originates with detailed geographic breakdowns.Available geographic data
- Country-level data: See which countries generate the most traffic
- Region breakdowns: Drill down to state or province level
- City-level insights: Identify specific cities driving traffic
- Grouped views: Aggregate data by country, region, or city
- Country view
- Region view
- City view
View traffic distribution across countries with total hits and percentage breakdowns. Ideal for understanding your global reach.
- Target marketing campaigns to high-traffic regions
- Identify expansion opportunities in new geographic areas
- Verify that geo-targeted campaigns reach the intended audience
- Optimize content delivery based on geographic distribution
Device and browser analytics
Gain insights into the devices and browsers your visitors use.Device information
Device types
Device types
See the breakdown between desktop, mobile, and tablet traffic. Essential for responsive design decisions and mobile optimization.
Device categories
Device categories
Detailed categorization of device types including smartphones, tablets, desktops, and other device categories.
Device brands and models
Device brands and models
Identify specific device manufacturers (Apple, Samsung, Google, etc.) and models your visitors use.
Browser analytics
Browser families
Browser families
Track usage across major browsers (Chrome, Firefox, Safari, Edge) to ensure compatibility and optimize experiences.
Browser versions
Browser versions
Monitor specific browser versions to identify when users are on outdated browsers that may need special handling.
User agents
User agents
Access raw user agent data for advanced analysis and debugging.
Operating system data
- OS names: Track Windows, macOS, iOS, Android, Linux distributions
- OS versions: Identify specific operating system versions
- Platform compatibility: Ensure your destination sites work across all platforms
Device and browser analytics help you optimize your destination pages for your actual audience’s technology stack.
Traffic source analytics
Referrer tracking
Understand where your traffic comes from with comprehensive referrer analytics:- Full referrer URLs: See complete referring URLs
- Referrer domains: Group traffic by referring domain
- Top referrers: Identify your most valuable traffic sources
- Direct vs. referred: Distinguish between direct visits and referred traffic
- Measure the effectiveness of marketing campaigns
- Identify unexpected traffic sources
- Track backlink performance
- Optimize partnerships with high-performing referrers
Campaign analytics
Track marketing campaign performance through UTM parameter analysis:- UTM source tracking
- UTM medium identification
- UTM campaign names
- UTM term and content parameters
Enable query forwarding on your redirects to preserve UTM parameters and get accurate campaign tracking.
Temporal analytics
Hourly traffic patterns
Analyze traffic distribution across 24 hours to identify:- Peak traffic hours
- Low-traffic periods for maintenance
- Geographic timezone patterns
- Optimal posting/campaign launch times
Time-based insights
- Hour of day distribution: See when your redirects get the most hits
- Day of week patterns: Identify weekday vs. weekend traffic differences
- Peak traffic analysis: Automatically identify your highest-traffic periods
- Historical trends: Track changes in traffic patterns over time
Example: Identifying peak hours
Example: Identifying peak hours
The peak traffic analytics endpoint reveals:
- Your busiest hour of the day
- Your highest-traffic day of the week
- Peak vs. average traffic comparisons
- Optimal times for campaigns or updates
URL and path analytics
Path tracking
When path forwarding is enabled, track which paths receive the most traffic:- Most visited paths
- Path-level hit counts
- Path distribution percentages
- Uncommon or error paths
Query parameter analytics
Analyze query parameters to understand:- Common parameter combinations
- Parameter usage frequency
- Custom tracking parameter performance
- Parameter-based segmentation
Destination URL analysis
For redirects with rules or dynamic destinations, track:- Which destination URLs receive the most traffic
- Distribution across multiple destinations
- Rule-based routing effectiveness
- A/B test variant performance
Technical analytics
Status codes
Monitor HTTP status code distribution to identify successful redirects (3xx), errors (4xx, 5xx), and other responses.
Bot detection
Distinguish between human traffic and bot traffic to get accurate visitor counts and prevent bot skewing.
Language preferences
Track browser language settings to understand your audience’s language preferences.
Return visitors
Identify returning visitors vs. new visitors to measure engagement and retention.
Error analytics
Monitor and troubleshoot redirect errors:- Failed redirect attempts
- Error status code distribution
- Error patterns over time
- Common error causes
Advanced analytics
Raw hit data
Access individual redirect hits with detailed filtering:- Paginated hit records
- Filter by country, device, status code
- Bot filtering (include or exclude bot traffic)
- Date range filtering
- Export capabilities for further analysis
country: Filter by specific country codesisBot: Include or exclude bot trafficstatusCode: Filter by HTTP status codestartandend: Date range selectionpageandlimit: Pagination controls
Return visitor analysis
Track visitor loyalty and engagement:- New visitor counts
- Returning visitor counts
- Return rate percentages
- Visitor retention patterns
Return visitor tracking uses anonymous identifiers and respects user privacy while providing valuable engagement insights.
Time range selection
All analytics endpoints support flexible time range selection:- Default: Last 7 days
- Custom ranges: Specify start and end dates
- Interval options: Hour, day, week, or month grouping
- Comparison mode: Compare two time periods side-by-side
- Last 7 days
- Last 30 days
- Custom range
- Comparison
Quick view of recent performance - the default for most analytics views
Export and integration
While Quickleap provides a comprehensive analytics dashboard, you can also:- Access raw hit data via the API
- Export analytics for external analysis
- Integrate with business intelligence tools
- Build custom reports using the analytics API
All analytics data is available through the Quickleap API. See the API documentation for integration details.
Best practices
Monitor regularly
Check analytics weekly to identify trends, catch issues early, and optimize redirect performance.
Use appropriate sampling
Balance analytics detail with performance by adjusting sampling rates based on traffic volume.
Track campaigns
Use UTM parameters and enable query forwarding to measure marketing campaign effectiveness.
Compare periods
Use period comparison to measure growth, identify seasonal patterns, and track improvement.