Anti-ad-fraud monitoring
We set up monitoring and protection against ad fraud: bots, click fraud, invisible impressions (low viewability), fake traffic — detection, filters, exclusions, reports, refund claims to platforms. Honestly and bluntly upfront: anti-fraud reduces losses to fraud and cleans data but does NOT eliminate fraud 100% — it constantly evolves, some passes the detection. And honestly: this is protection of budget and data reliability, NOT a sales growth tool. Platforms refund not all of the fraud budget. Without promises of complete fraud elimination.
Anti-ad-fraud monitoring — overview
Anti-ad-fraud monitoring is a system for detecting and reducing ad fraud: monitoring traffic for signs of bots/invalid clicks/invisible impressions (viewability)/fake inventory, connecting anti-fraud tools and metrics, filters and exclusions of suspicious sites/IPs, anomaly analysis, reports, filing refund claims to platforms for invalid traffic. The work: auditing traffic for fraud, setting up detection/filters, regular monitoring, response, reporting. Honestly about 'reduces but does not eliminate fraud 100%', this is key: ad fraud constantly evolves (bots disguise as humans, schemes change), and perfect detection does not exist — some fraud always passes. Whoever promises to 'completely remove fraud' is being disingenuous. We honestly reduce losses and clean data but do not guarantee zero fraud. Honestly about 'this is protection of budget and data, not sales growth': anti-fraud prevents money from going to bots and makes analytics more reliable (fraud distorts metrics and the learning of automated strategies), but by itself it does not increase sales — it is loss reduction and data cleanliness, not revenue. Honestly about 'platforms refund not all': ad systems compensate part of invalid traffic automatically and on claims, but not all and not always; the refund process is on their side and limited. Honestly about 'depends on tools/data': the depth of detection depends on the available metrics and third-party anti-fraud services (some are paid); on basic data detection is limited. Honestly about 'an ongoing process': fraud is not cured by a one-time setup — regular monitoring is needed. Honestly about 'the platform partly decides': final inventory filtering is on the side of the sites/DSP; our levers are limited by their tools. Honestly about the effect: it sets up monitoring and protection against fraud (detection, filters, exclusions, refund claims), reducing losses to fraud and increasing data reliability, but this is not 100% elimination and not sales growth; platforms refund not all; ongoing monitoring is needed. Honestly about access: access to ad accounts/analytics, sometimes third-party anti-fraud services are needed. An important boundary: this is anti-fraud; brand safety (undesirable content) — 470; viewability/fraud filters during DSP setup — 458; tracking/analytics — 469. The base price starts from 22,000 ₽ for setup + monitoring (third-party services are separate).
Problems we solve
- Budget goes to bots/invalid clicks/invisible impressions; fraud distorts analytics.
- A misconception that fraud can be eliminated 100% (it evolves, detection is not perfect).
- A misconception that anti-fraud increases sales (it is protection of budget/data reliability).
- Expecting a full refund of the fraud budget by platforms (they refund not all and not always).
What's included in the Anti-ad-fraud monitoring service
- Auditing traffic for signs of fraud (bots/invalid clicks/viewability/fake inventory)
- Connecting anti-fraud tools/metrics, setting up filters and exclusions
- Regular anomaly monitoring and response (excluding sites/IPs)
- Reports and filing refund claims to platforms for invalid traffic
- An honest assessment: how much fraud is visible and what remains beyond detection
- Honest boundaries (reduces, not 100% elimination; protection of budget/data, not sales growth; platforms refund not all; depends on tools; an ongoing process; the platform partly decides)
- Documentation and handover
- Review with you
What you get
- Set up monitoring and protection against ad fraud with filters and reports
- Reduced losses to fraud and more reliable data/metrics
- An honest assessment: what detection catches and what remains beyond it
- Honest boundaries (not 100% elimination; not sales growth; platform refunds are limited)
How the work goes: steps
- We audit traffic for fraud, connect detection/metrics, set up filters
- We monitor anomalies, exclude sources, file refund claims
- We honestly set boundaries (not 100%; protection not sales; refunds are limited) and manage/hand over
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will you completely remove ad fraud?
Completely — no, honestly: fraud constantly evolves (bots disguise as humans, schemes change), perfect detection does not exist — some always passes. Whoever promises to 'remove fraud completely' is being disingenuous. We honestly reduce losses, clean data and respond to anomalies, but do not guarantee zero fraud.
Will anti-fraud boost sales?
Not directly, honestly: anti-fraud prevents the budget from going to bots and makes analytics more reliable (fraud distorts metrics and the learning of automated strategies), but by itself it does not increase sales. This is loss reduction and data cleanliness, not a revenue driver. We honestly position it exactly that way.
Will the platform refund all the money for fraud?
Not all and not always, honestly: ad systems compensate part of invalid traffic automatically and on claims, but not all and not in all cases — the refund process is on their side and limited. We will file claims and achieve what is possible, but cannot promise a full refund of the fraud budget.
About the provider
The «Anti-ad-fraud monitoring» service is provided by PDV Expert — a team specialising in «Content & acquisition». We work under contract and deliver a written report with recommendations.