Traffic Metrics V2.0
Traffic Metrics V2.0 introduces an advanced analytics system with comprehensive filtering capabilities, allowing creators and agencies to analyze both external and internal traffic with greater precision. This first release focuses on providing detailed insights through a powerful, multi-dimensional filter framework.
Overview
At the core of Traffic Metrics V2.0 is a comprehensive filtering system that enables deep traffic analysis across various dimensions and time periods. With this enhanced visibility, you can better understand traffic performance across multiple dimensions and time periods, gaining deeper insights into your audience acquisition and revenue generation patterns.
The system displays all traffic sources, including Tracking Links, Trial Links, and Direct Traffic (traffic acquired outside of specific links) in a unified interface. This comprehensive view gives you the full picture of your traffic performance.
For Tracking and Trial Links: You can view click counts, fan acquisitions, and earnings (depending on your filter settings - specifically the fan subscription period and spending timeframe).
For Direct Traffic: You can see fan counts and revenue shown for the period selected in the Earnings Date Range filter.
Filter System
Traffic Metrics V2.0 includes a powerful three-filter system designed to give you precise control over how traffic and revenue data is displayed.
Fan Subscription Date Range
This filter allows you to analyze statistics based on when fans subscribed through your links, regardless of when the links were created. When you select a date range, the dashboard will show:
Click counts (for Tracking and Trial Links)
Fan acquisition totals (for all traffic types, including Direct Traffic)
N/A Values in Clicks: If click data is unavailable for a specific link during the selected period, the Clicks column will display N/A (Not Available).
This filter only includes fans who subscribed within the selected range.
Earnings Date Range
Use this filter to analyze revenue generated by fans who subscribed during the selected Fan Subscription Date Range.
The system will calculate earnings only within the specified earnings period.
You can track how much revenue was generated during this window by fans acquired via Tracking Links, Trial Links, or Direct Traffic.
Important: The Earnings Date Range is dependent on the Fan Subscription Date Range and cannot begin earlier than the subscription period.
Creation Date Range
This filter lets you narrow your analysis to links created during a specific time period.
Only links created within the selected Creation Date Range will be included in your analytics.
Useful when evaluating the performance of recently launched campaigns or testing link-specific strategies.
When you open the Traffic Metrics page, the Creation Date Range is automatically set to the last 3 months.
Example: How the Filters Work Together
Here’s how the three filters interact to shape your traffic analysis:
Creation Date Range: 1st–3rd → The system will only consider links created during this period.
Fan Subscription Date Range: 4th–5th → You’ll see clicks and fan acquisitions from the selected links, but only for fans who subscribed during this timeframe.
Earnings Date Range: 6th–7th → Revenue data will reflect earnings generated during this period by fans who subscribed on the 4th–5th through links created from the 1st–3rd.
This layered filtering approach allows you to analyze performance from creation → acquisition → revenue with high precision.
Traffic Display Options
The main dashboard offers flexible viewing options to match your analysis needs. You can view All Traffic to see Tracking Links, Trial Links, and Direct Traffic together in one comprehensive overview. Alternatively, you can focus on specific traffic types by selecting Tracking Links only or Trial Links only.
By using search you can quickly find a link by its name, even if you have a large number of links. The search is case-insensitive and supports partial matches, making it easier to find specific links.
Earnings Attribution
Rolling Attribution (Active Link Tracking)
Earnings are credited to the fan’s most recent subscription link — also known as rolling attribution.
When a fan subscribes through a new link, all future earnings are automatically attributed to that latest link.
This ensures that revenue is always connected to the fan’s current active subscription source, not historical links they previously used.
This model helps you track live traffic effectiveness, not legacy activity.
Double Attribution
With Double Attribution, earnings are credited to all links the fan is subscribed through.
If a fan maintains multiple subscriptions (e.g., through different Trial or Tracking Links), their total spending is duplicated across all associated links.
Display Settings
You can customize how revenue is displayed in the Traffic Metrics dashboard:
Gross Earnings — Shows total revenue before deductions
Net Earnings — Displays earnings after OnlyFans commission
Additionally:
Hide Zero Earnings Toggle
Activate this to filter out links that haven’t generated any revenue
Helps you focus only on performing traffic sources
Show Deleted Toggle
Enable this toggle to display deleted links alongside active ones.
Deleted links will appear with their full historical performance data, allowing for complete revenue tracking and trend analysis, even for removed campaigns.
Last Synced
Shows when the statistics for Tracking and Trial Links were last updated. This helps you understand how recent the data is.
Tracking Links are updated every hour at :10
Trial Links are updated every hour at :20
Understanding Your Data
The traffic overview displays essential metrics for each source including link names, creation dates, clicks, fans acquired, and earnings. Direct Traffic appears as a separate item showing subscribers and earnings not attributed to specific tracking or trial links.
This data helps you identify your most effective traffic sources, understand fan acquisition patterns, and make informed decisions about resource allocation and campaign optimization.
Last updated
Was this helpful?