These rules work on a simple principle: if a single IP address clicks on your ads too many times within a set period, it will be automatically added to your Google Ads IP exclusion list. While ClickSambo provides a set of pre-configured rules based on industry best practices, you have full control to customize them.
Block an IP address if it generates more than [Number of Clicks] within a [Timeframe].
For example: Rule: Block after 5 Clicks within 1 Hour
Meaning: If the same IP address clicks on any of your ads 5 times within a 60-minute window, it will be flagged as fraudulent and automatically blocked.
View Your Rules: The page will display a list of all your currently active threshold rules.
Add a New Rule:
Click the "+ Add Rule" button.
A new line will appear where you can input the Number of Clicks and select the Timeframe (e.g., Hour, Day, Week) from the dropdown menus.
Delete a Rule:
To remove a rule, simply click the trash can icon (🗑️) next to it.
Save Your Changes:
After adding or deleting rules, you must click the "Save Changes" button to apply your updates.
Start with Your Recommended Settings Your initial protection rules are intelligently pre-set based on the industry you selected during registration, combined with performance data from thousands of similar campaigns. This provides a powerful, tailored baseline that you can further refine to meet your specific needs.
Calibrate Your Thresholds Thoughtfully When making adjustments, avoid setting overly strict rules (e.g., flagging 2 clicks in 1 day
). Such aggressive thresholds can block legitimate customers. We recommend observing your traffic patterns before significantly tightening your recommended settings.
Implement a Layered Defense Strategy A robust approach combines different rule types for comprehensive protection:
Short-Term, High-Intensity Rule: Catches immediate bot attacks. (e.g., 5 clicks in 1 hour
)
Long-Term, Low-Intensity Rule: Identifies suspicious Browse patterns over time. (e.g., 15 clicks in 7 days
)
Fine-Tune for Your Customer Behavior As you gather data, fine-tune your rules to match the typical engagement of your genuine customers. For example, an e-commerce shopper might naturally click ads more than a user seeking a one-time service. Adjusting for this ensures maximum protection with minimal disruption to real users.