Skip to main content

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.

Quickleap provides detailed analytics for every redirect, giving you deep insights into your traffic patterns, user behavior, and redirect performance.

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
View traffic distribution across countries with total hits and percentage breakdowns. Ideal for understanding your global reach.
Use cases:
  • 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

See the breakdown between desktop, mobile, and tablet traffic. Essential for responsive design decisions and mobile optimization.
Detailed categorization of device types including smartphones, tablets, desktops, and other device categories.
Identify specific device manufacturers (Apple, Samsung, Google, etc.) and models your visitors use.

Browser analytics

Track usage across major browsers (Chrome, Firefox, Safari, Edge) to ensure compatibility and optimize experiences.
Monitor specific browser versions to identify when users are on outdated browsers that may need special handling.
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
Key use cases:
  • 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
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
High error rates may indicate DNS configuration issues, destination URL problems, or rule configuration errors. Monitor error analytics regularly.

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
Available filters:
  • country: Filter by specific country codes
  • isBot: Include or exclude bot traffic
  • statusCode: Filter by HTTP status code
  • start and end: Date range selection
  • page and limit: 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
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.

Build docs developers (and LLMs) love