Bot & Click Fraud Tracking
Understand how bot filtering and click-quality controls protect campaign reporting.
The measurement goal
Understand how bot filtering and click-quality controls protect campaign reporting.
Core checklist
- Differentiate invalid traffic from merely low-quality traffic.
- Filter obvious automation without assuming every anomaly is fraud.
- Compare server logs, tracker filters and ad-platform data.
- Keep an audit trail when filters affect billing or optimization.
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Where attribution breaks
Most failures come from inconsistent naming, missing identifiers, duplicate events, cross-domain gaps or treating platform-reported conversions as perfectly comparable.
Where ClickMagick can fit
ClickMagick is relevant when you want an independent performance layer for clicks, conversions, cross-device tracking, funnel reports and optimization signals across campaigns.
Next step
Map your actual journey first, then test the tracker against live events. Keep only the data and reports that affect real decisions.
Keep exploring
Product facts on this page were checked against official materials on August 30, 2026.