Paid media integrity

Ad fraud protection for paid media and lead generation

Connect campaign activity to first-party sessions and qualified outcomes. Identify suspicious patterns, document the limits and choose a response that matches the evidence.

For marketing leaders, performance teams, media agencies and businesses buying measurable traffic.

Analysis active
ILLUSTRATIVE VIEW
unusual patternsession review
Likely humanconsistent behaviour
Reviewrisk signals
Automationresponse policy
Business risk

Media systems optimise the signals they can see

If a conversion signal contains automation or fabricated outcomes, spend and audience decisions can move toward activity that only appears valuable.

01

Paid events without demand

Clicks or impressions consume budget without producing a comparable customer outcome.

02

Low-quality conversions

Forms and registrations reach CRM or bidding systems but fail validation downstream.

03

Disputes without evidence

Campaign, session and outcome records cannot be aligned well enough to reproduce the pattern.

Evidence model

Multiple signals, one reviewable decision

Each layer answers a different question. Coverage is limited to the data made available for the pilot.

Campaign and placement

Source, creative, placement, click identifier and timing where the channel exposes them.

Request and session

Network, client, navigation and timing observations collected under an appropriate privacy basis.

Business outcome

Lead acceptance, contactability, order state, duplication or another value event agreed in scope.

Audit and pilot

A bounded path from question to control

The work begins with the decision that needs support, not with a preselected fraud rate or a promise to block traffic.

01

Scope

Define the source, business outcome, time window and minimum useful result.

02

Measure

Collect the agreed media and first-party evidence without changing traffic unnecessarily.

03

Validate

Review clusters, legitimate alternatives, representative cases and false-positive risk.

04

Respond

Prioritise observation, exclusion, rate limits, challenges or blocks with rollback criteria.

Potential outputs

Evidence your team can use

The final format depends on the scope. Deliverables are agreed before measurement and do not imply guaranteed recovery or complete bot coverage.

  • Source and placement quality findings
  • Representative evidence records
  • Coverage, exclusions and confidence limits
  • Prioritised control and measurement plan
Interpretation boundaries

What the service does not claim

Technical risk classification and a legal conclusion about fraud are not the same thing.

01

No universal fraud rate

Coverage and results depend on the campaign, data, identifiers, time window and business outcome in scope.

02

No single perfect signal

IP addresses, user-agent strings and short behavioural patterns can all misclassify legitimate activity.

03

No automatic attribution of intent

Suspicious traffic can justify an operational control without identifying the actor or proving motive.

04

No guaranteed recovery

Billing adjustments and disputes remain subject to the evidence and rules accepted by the relevant platform or partner.

Prepare your team

Start with the concepts and evidence

Use these guides to separate automation, invalid traffic and a defensible conclusion about fraud.

FAQ

Questions about ad fraud protection

Scope, evidence and limits before any measurement begins.

Which paid media channels can be assessed?

The useful scope depends on the identifiers and evidence available in a channel. Search, social, display and affiliate traffic can present different data and require different baselines. Channel coverage is agreed before a pilot.

Is a non-converting click automatically fraudulent?

No. Most advertising interactions do not convert, and poor performance is not proof of fraud. A classification should combine campaign context, technical and behavioural signals, and downstream quality.

What does an initial pilot produce?

The output is agreed before work begins. It can include source-level findings, representative evidence records, stated exclusions, false-positive considerations and a prioritised response plan.

Can the service guarantee recovered media spend?

No. Recovery depends on platform rules, contracts and the evidence accepted by another party. The service focuses on measurable traffic quality and decisions within the agreed scope.

Will suspicious visitors be blocked immediately?

Not by default. Observation and tagging are usually safer during initial measurement. Stronger controls are considered when confidence, business risk and rollback requirements are understood.

Start with evidence

Find out what your paid traffic is really producing

Start with a bounded audit on real campaign and first-party data. The scope and interpretation limits are agreed before measurement begins.