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In ad analytics, we often distinguish between warm and cold clicks—based on user intent.

• Warm click: the user is already familiar with your brand or is actively searching.
• Cold click: accidental, unqualified—or generated by bots or click farms.

Signs of a warm click:

• long session, multiple pages viewed;
• views on “Pricing”, “Contact”, or “Cart” pages;
• interaction with forms or CTA;
• return visits.

Signs of cold or fraudulent clicks:

• short session, single page view;
• no interaction, no scroll;
• VPN or proxy used;
• odd geo or time patterns.

The problem:
Fraudulent clicks mimic real behavior but don’t convert. This distorts analytics and leads to wasted spend.

What to do:

1. Segment traffic by intent level.
2. Analyze post-click behavior.
3. Use AntiClick to detect and filter cold/fake sessions.
4. Focus on converting traffic.