High-quality traffic comes from real users with genuine intent who match your target audience. Low-quality traffic comes from bots, incentivized users, or audiences with no interest in your product. Traffic quality scoring assigns a score to each traffic source based on multiple signals, helping you identify which affiliates send valuable traffic and which need investigation.
Quality Signals to Monitor
Signal
What It Tells You
Red Flag Threshold
Click-to-conversion ratio
Whether clicks are genuine
Below 0.1% or above 30%
Time on site
Whether users engage
Under 5 seconds average
Bounce rate
Whether users find what they expect
Above 90%
Geographic consistency
Whether traffic matches target markets
Traffic from unexpected regions
Device distribution
Whether traffic is human
95%+ from one device type
IP reputation
Whether IPs are clean
Known proxy, VPN, or datacenter IPs
Building a Scoring Model
Assign weights to each quality signal and calculate a composite score per affiliate. A simple model might weight conversion quality at 40%, behavioral signals at 30%, and technical signals at 30%. Partners above 70 are considered high quality. Partners between 40-70 need monitoring. Partners below 40 need investigation or suspension.
Automated vs. Manual Review
Automated: Set rules that flag or pause affiliates when quality drops below threshold
Hybrid: Automated flagging with manual review for suspension decisions
Start with 3-4 quality signals and expand over time. Monitoring everything at once creates noise. Focus on the signals most relevant to your vertical and fraud risk profile.
Key Takeaways
Traffic quality scoring uses multiple signals to identify valuable vs. suspicious traffic
Monitor click-to-conversion ratio, time on site, geographic consistency, and IP reputation
Use a weighted scoring model -- partners below threshold get flagged for review
Start with 3-4 quality signals and expand as your fraud detection matures