Wasted ad spend
Repeated, automated and irrelevant visits can drain the budget before the ad reaches real customers
Competitors, bots and automated networks can click your ads with no purchase intent. The system compares ad clicks with real page views, behaviour and network context and shows which addresses should be blocked.
185.74.23.0/2492/100Block91.196.124.1871/100MonitorFirst it consumes your ad budget, then it contaminates the data you use to make campaign and website decisions
Repeated, automated and irrelevant visits can drain the budget before the ad reaches real customers
Clicks and sessions increase without producing genuine interest, enquiries or sales
When you cannot distinguish poor traffic from a poor page, you optimise against the wrong signals
Install one snippet, let the system collect enough data and receive prioritised recommendations instead of thousands of raw rows
Install the asynchronous tracking code and tag ad URLs with utm_source=fraud
The system measures ad visits, repetition, active time, pages, scroll depth and interactions
AI prioritises risky addresses, explains the reasons and prepares a blocking list for Google Ads
ClickShield measures visit quality after the ad click. This helps you distinguish genuine interest from an empty session and determine whether the problem lies in the traffic or the landing page
Share of sessions with at least 10 active seconds, 2+ pages or an explicit key action
Actual activity while the tab is visible and focused, excluding idle periods
The deepest visible point on the page, scored with a stricter non-linear weighting
Interactions, key actions, pages, focus and an engaged-session bonus
The system gathers the evidence while leaving the final decision in your hands
Frequency, repetition, behaviour and network context are assessed together
See active time, dwell time, scroll depth, interactions and viewed pages
One clear value with specific reasons and a recommended action
Identifies related addresses and protects shared mobile and office networks from premature blocking
Approved IP addresses are separated by domain and exported as TXT or CSV
Separates traffic-quality problems from page and offer problems
No mandatory plugin is required. The code can be installed directly on the website or through Google Tag Manager
utm_source=fraudThe dashboard shows the essentials for the selected domain while detailed records remain available whenever verification is needed

The system collects technical and behavioural signals for one website, prioritises risky addresses and network ranges, and explains the basis for every recommendation. Nothing is blocked without a human decision.
The system first builds a normal baseline for the website, then prioritises risky cases and traffic behaviour
The first full AI cycle runs after 7 days of collected data. Subsequent analyses compare new behaviour with the website’s history.
Engagement rate shows the share of sessions with at least 10 active seconds, 2+ pages or an explicit key action. A separate behavioural score from 0 to 100 is calculated from active time, scroll depth, actions, pages and session focus.
No. It is an important signal, but it is not sufficient on its own. The AI score also considers frequency, repetition, network context and the domain’s history.
No. ClickShield recommends an action and prepares the list. The final decision and addition to Google Ads remain under human control.
It shows whether visits demonstrate genuine behaviour after the click. This makes it easier to distinguish a traffic problem from an issue with the landing page, offer or user experience.
The address moves to a separate list for the relevant domain, where it can be copied or exported for Google Ads and marked as completed.
Installing the code takes minutes. The system then starts building a profile of ad traffic and post-click behaviour