These rules work on a simple principle: if a single IP address clicks on your adverts many times within a certain period, it will automatically be added to your Google Ads IP exclusion list. Although ClickSambo provides a set of pre-configured rules based on industry best practices, you have complete control to customise them.
Bloqueie um endereço IP se ele gerar mais de [Número de cliques] dentro de um [Intervalo de tempo].
Por exemplo: Regra: Bloquear após 5 cliques em 1 hora.
Significado: Se o mesmo endereço IP clicar em qualquer um dos seus anúncios 5 vezes em um intervalo de 60 minutos, ele será sinalizado como fraudulento e bloqueado automaticamente.
View Your Rules: The page will display a list of all your currently active limit rules.
Add a New Rule: Click the "+ Add Rule" button.
A new row will appear where you can enter the Number of Clicks and select the Period (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 the updates.
Start with your recommended settings. Your initial protection rules are intelligently preset based on the industry you selected during registration, combined with performance data from thousands of similar campaigns. This provides a powerful, personalized foundation that you can further refine to meet your specific needs.
When making adjustments, avoid setting excessively strict rules (e.g., flagging "2 clicks in 1 day"). Such aggressive limits can block legitimate customers. We recommend observing your traffic patterns before significantly restricting your recommended settings.
A robust approach combines different types of rules 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 browsing patterns over time. (e.g., 15 clicks in 7 days
)
As you collect data, adjust your rules to match the typical engagement of your genuine customers. For example, an e-commerce shopper may click on ads more than a user looking for a one-time service. Adjusting this ensures maximum protection with minimal disruption to real users.