Clkim
Clkim is an open-source click fraud detection software for advertisers. It analyzes click traffic to identify non-human clicks and click fraud to improve campaign performance.
opensource
click-fraud-detection
advertisers
nonhuman-clicks
Clkim: Open-Source Click Fraud Detection Software
Identify and prevent non-human clicks and click fraud with Clkim, an open-source software designed to improve campaign performance for advertisers.
What is Clkim?
Clkim is an open-source click fraud detection software designed for digital advertisers to identify invalid and fraudulent clicks. It uses machine learning algorithms to analyze click traffic data and distinguish between human, bot, and other invalid clicks.
Key features of Clkim include:
- Detection of botnets, click farms, and other sources of click spam/fraud
- Identification of real, human-initiated clicks vs fake/fraudulent clicks
- Filters to block known spam IPs, user agents, referrers
- Reporting of click fraud rate, spam rate, bot clicks
- Integration with ads platforms via APIs or data files
- Open-source Python platform for modification and customization
By filtering out click spam, bot traffic, and other invalid clicks, Clkim helps advertisers measure real campaign performance, improve quality score, reduce wasted ad spend, and boost return on investment from online advertising campaigns.
Clkim Features
Features
- Real-time click fraud detection
- Open source code
- Customizable rules engine
- Support for proxy and botnet detection
- Integration with analytics platforms
Pricing
- Open Source
Pros
Free and open source
Customizable to fit business needs
Can integrate with existing analytics tools
Actively maintained and updated
Cons
Requires technical expertise to set up and manage
Limited to click fraud detection only
Not a full featured click fraud solution
Official Links
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