Paid events without demand
Clicks or impressions consume budget without producing a comparable customer outcome.
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.
If a conversion signal contains automation or fabricated outcomes, spend and audience decisions can move toward activity that only appears valuable.
Clicks or impressions consume budget without producing a comparable customer outcome.
Forms and registrations reach CRM or bidding systems but fail validation downstream.
Campaign, session and outcome records cannot be aligned well enough to reproduce the pattern.
Each layer answers a different question. Coverage is limited to the data made available for the pilot.
Source, creative, placement, click identifier and timing where the channel exposes them.
Network, client, navigation and timing observations collected under an appropriate privacy basis.
Lead acceptance, contactability, order state, duplication or another value event agreed in scope.
The work begins with the decision that needs support, not with a preselected fraud rate or a promise to block traffic.
Define the source, business outcome, time window and minimum useful result.
Collect the agreed media and first-party evidence without changing traffic unnecessarily.
Review clusters, legitimate alternatives, representative cases and false-positive risk.
Prioritise observation, exclusion, rate limits, challenges or blocks with rollback criteria.
The final format depends on the scope. Deliverables are agreed before measurement and do not imply guaranteed recovery or complete bot coverage.
Technical risk classification and a legal conclusion about fraud are not the same thing.
Coverage and results depend on the campaign, data, identifiers, time window and business outcome in scope.
IP addresses, user-agent strings and short behavioural patterns can all misclassify legitimate activity.
Suspicious traffic can justify an operational control without identifying the actor or proving motive.
Billing adjustments and disputes remain subject to the evidence and rules accepted by the relevant platform or partner.
Use these guides to separate automation, invalid traffic and a defensible conclusion about fraud.
Scope, evidence and limits before any measurement begins.
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.
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.
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.
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.
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 a bounded audit on real campaign and first-party data. The scope and interpretation limits are agreed before measurement begins.