Click Analytics - Inspect Ad Traffic Data

The Clicks page provides granular visibility into every click on your ads, allowing you to analyze traffic patterns, identify fraud, and take action on suspicious activity.

Overview Metrics

Four metric cards at the top summarize your click data:

Each card shows the count and a percentage change indicator comparing to the previous period.

Filtering Options

Two dropdown filters help you narrow down the data:

Traffic Type

• Ad Clicks — Show only paid ad traffic
• Organic / Direct Traffic — Show non-paid visitors
• All Traffic — Show everything

Status

• All Status — Show all clicks regardless of status
• Normal — Only legitimate clicks
• Bad — Only confirmed fraud
• Ignored — Clicks marked as false positives
• Suspicious — Only flagged clicks

Date Range

Use the date range picker in the top-right to filter by time period. Format: MM/DD/YYYY - MM/DD/YYYY

Clicks Data Table

The main table displays detailed information for each click:

Time Column

• Relative time — "5 minutes ago", "about 1 hour ago"
• Absolute timestamp — Full date and time (e.g., "Feb 28, 2026 21:48:10")

Click on a row to expand and view full details.

Ad Account

Shows which ad account generated the click:

• Direct — Direct Google Ads account
• Account name — For linked MCC accounts

Status

Color-coded click classification:

Campaign

The Google Ads campaign that generated the click, with the campaign icon.

Ad Click ID

The Google Click ID (gclid) for the click. This unique identifier links the click to your Google Ads data.

Note

Any notes or flags associated with the click:

• Demo Click — Sample data in demo mode
• Custom notes added by users

Converted

Shows whether the click resulted in a conversion:

• ✓ (Green checkmark) — Converted
• ✗ (Red X) — Did not convert

IP Address

The source IP address with usage classification:

• IP address (e.g., 192.168.1.0)
• Usage type (e.g., "Usage: Business", "Usage: Residential")

Location

Geographic information:

• Country (e.g., United States)
• City/Region (e.g., New York)
• Flag icon for quick identification

VPN

Connection type detection:

• VPN — Click came through a VPN service (red indicator)
• Direct — Standard internet connection

Crawler

Bot detection:

• N/A — Not a bot
• Bot name — If identified as automated traffic

Hostname

The hostname associated with the IP address (e.g., host-0.demo.net)

Time Spent

How long the visitor stayed on site after clicking:

• Format: "X mins Y secs"
• Very short times may indicate bot activity

Machine

Device type used:

• Desktop — Computer
• Mobile — Smartphone
• Tablet — Tablet device

Machine ID

A unique device identifier for tracking repeat visitors.

Browser

Browser name and version:

• Name (e.g., Chrome, Firefox, Safari)
• Version number (e.g., 120)

OS

Operating system:

• Name (e.g., Windows, macOS, iOS, Android)
• Version (e.g., 11, 14)

UTM Source

The traffic source from UTM parameters (e.g., "google")

UTM Medium

The traffic medium from UTM parameters (e.g., "cpc" for cost-per-click)

Pagination

At the bottom of the table:

• Shows current range: "Showing 1 to 10 of 50 results"
• Previous / Next buttons to navigate pages

Taking Action

From the Clicks page, you can:

1. Identify Patterns — Look for repeated IPs, unusual locations, or VPN usage
2. Investigate Suspicious Clicks — Filter by "Suspicious" status
3. Review Bad Clicks — Understand why clicks were flagged
4. Add to Blacklist — Block specific IPs (from click details)
5. Mark False Positives — If a bad click was legitimate

Best Practices

1. Check daily — Review new suspicious activity regularly
2. Look for patterns — Multiple clicks from same IP? Same VPN? Same short time spent?
3. Compare campaigns — Some campaigns may attract more fraud
4. Verify conversions — Suspicious clicks that convert may be false positives
5. Use filters — Focus on "Bad" status to understand what's being caught