How Websites Get Paid for Referring Video Traffic
A method for tracking which website sent a user to a video stream so the referring site can be paid for the advertisement shown.
Patent Number
US 9154532
Status
Active
Filing Date
April 26, 2010
Grant Date
October 6, 2015
Expiration
~April 2030 (estimated)
Claims
24
Assignee
Zaron Remote LLC
Inventors
Álvaro Fernández Gutiérrez
Citations
6 forward · 190 backward
What it covers
The patent describes a system that tracks the origin of a user request for a multimedia file. When a user clicks a link on a referring website, the system captures the referring site's identity and embeds this information into the digital file request. When the user later initiates a streaming session to watch the video, the streaming server uses that embedded identity to track which advertisements were shown to that specific user. Finally, the server uses this data to automatically calculate and issue payment to the referring website for the traffic it generated.
What it doesn't cover
- —Does not cover general video streaming that lacks a mechanism for tracking the referring website's identity.
- —Does not cover systems that do not explicitly link advertisement tracking to the remuneration of the referring site.
- —Does not cover offline or non-web-based multimedia distribution methods.
The clever bit
The system embeds the referring site's identity into the initial file request and carries that data through to the stateful streaming session, ensuring the referral credit persists even when the user switches from a simple web request to a complex media stream.
Why it matters
This patent addresses the complex challenge of affiliate marketing in digital media. By automating the link between a referral and the subsequent monetization of a video stream, it provides a technical framework for revenue sharing between content distributors and the websites that drive their traffic.
Real-world examples
- 1.Affiliate marketing video platforms
- 2.Ad-supported streaming services with referral programs
- 3.Content syndication networks
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