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Invalid traffic guides, playbooks and a glossary.

Short, practical reading on click fraud, invalid traffic and how to review paid traffic quality without guesswork.

Guide

What “invalid traffic” means, and what it does not

Invalid traffic is a broad category: automated clicks from bots and scripts, accidental clicks, repeat clicks from the same person, and deliberately malicious clicks from click farms or competitors. Not every low-value click is fraud. Adjira keeps two scores apart for that reason: fraud risk says how likely a visit was not a genuine person, visitor quality says how valuable a genuine visit was. Signals are labeled as detected, inferred or unknown, so you can tell evidence from inference.

Related: Fraud risk scoring
Playbook

A weekly traffic quality review in 20 minutes

Open the overview and compare this week’s suspicious share with last week’s. Sort campaigns by suspicious spend and open the top cluster. Review a few high risk sessions, check their network checks and linked visits, and mark them reviewed. Finish by adjusting one protection rule and testing it against the last 7 days.

Related: Protection rules
Guide

VPN and datacenter traffic: when it matters

Many genuine people use VPNs, offices share IP addresses, and mobile carriers route traffic in surprising ways. A VPN alone is not fraud. It matters when it combines with other signals: a browser time zone that does not match the IP location, the same device seen from another country, or repeated paid clicks from hosting networks. Read network checks as indicators and look for the pattern.

Related: Network checks
Glossary

Estimated vs. confirmed wasted spend

Estimated suspicious spend multiplies suspicious paid clicks by the average cost per click your ad account reports. Confirmed outcomes need a refund from the ad platform or your own review. Adjira labels every spend figure as an estimate and never presents it as a saving.

Related: Wasted spend
Glossary

Same device, same browser, same network

Visitor linking compares visits within one workspace. Same device means the device details match closely; same browser adds the browser itself; same network means the visits share a home or office connection. A likely same person result is a lead for review, not an identification of who the person is.

Related: Same person detection

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