Blockchain-Ads is committed to maintaining the highest standards of traffic integrity across our platform. We employ comprehensive, multi-layered fraud prevention measures to ensure that all traffic and user behavior are 100% valid, genuine, and compliant with industry best practices.
Our Proactive Measures to Ensure Valid Traffic
Blockchain-Ads implements robust, industry-leading systems and processes designed to detect, prevent, and mitigate invalid activity in real time. Our fraud detection stack combines automated rules, machine learning models, and human oversight for maximum effectiveness. Expanded examples of these precautions include:
- Advanced device fingerprinting and cross-device tracking – Generating unique hashes based on hardware, browser, canvas, WebGL, fonts, and audio fingerprints to identify users even across sessions or devices.
- IP and geolocation validation – Real-time checks against known proxy/VPN/datacenter IP databases, anomalous location jumps (e.g., impossible travel speeds), and mismatched IP-to-geo data.
- Behavioral analysis algorithms – Monitoring for unnatural patterns such as ultra-fast click-to-conversion times, repetitive identical actions, inconsistent scroll/session depth, mouse movement trajectories that indicate bots, or sudden bursts of activity outside normal human rhythms.
- Click and engagement pattern analysis – Detecting invalid click streams (e.g., straight-line mouse movements, zero hover time, or patterned click intervals typical of scripts).
- Conversion velocity and volume monitoring – Flagging accounts with abnormally high conversion rates in short timeframes or sudden spikes that deviate from historical baselines.
- Rate limiting and dynamic challenges – Throttling high-value actions (sign-ups, deposits, purchases) and deploying progressive CAPTCHAs, biometric prompts, or email/SMS verification for suspicious sessions.
- Machine learning-based anomaly detection – Models trained on billions of valid and invalid interactions to score traffic in real time, incorporating features like time-of-day patterns, referral source consistency, and user journey coherence.
- Third-party fraud intelligence integrations – Partnerships with leading services (e.g., similar to Google reCAPTCHA Enterprise, Sift, Arkose Labs, or DataDome) for shared threat intelligence and external risk scoring.
- Publisher and source-level scoring – Continuous quality scoring of traffic sources with automatic suppression of low-performing or high-risk publishers.
- Post-conversion monitoring – Tracking downstream user behavior (e.g., chargeback rates, account dormancy after bonus claims, or rapid withdrawals) to retroactively validate traffic quality.
- Manual review triggers and audit trails – Automated escalation to human reviewers for high-risk accounts, sudden traffic spikes, or flagged patterns, with full logging for forensic analysis.
These layered measures ensure that the overwhelming majority of traffic delivered through Blockchain-Ads is legitimate, human-driven, and high-quality.
Acknowledgment of Potential Abusive Behavior
Despite our extensive safeguards, certain incentive structures (such as new-user bonuses, referral rewards, performance-based payouts, or airdrop campaigns) can occasionally motivate sophisticated bad actors to attempt abuse. Expanded examples of suspicious or abusive behavior include:
- Side-stepping KYC or verification by using synthetic identities, forged documents, or shared credential pools.
- Bonus abuse patterns, including immediate withdrawal after claiming incentives without genuine engagement or recycling funds across accounts.
- Creating multiple accounts from the same device, browser fingerprint, IP range, or household to chase sign-up bonuses, referral incentives, or multiplier rewards.
- Using VPNs, residential proxies, mobile hotspots, or TOR networks to mask origin, bypass geo-restrictions, or rotate identities.
- Deploying automated scripts, bot farms, or headless browsers to simulate engagement, clicks, or conversions at scale.
- Operating device emulators, virtual machines, or cloud-based Android/iOS instances to generate fake user sessions.
- Coordinating incentivized click rings, private Telegram/Discord groups, or paid task networks where users are rewarded for performing actions on targeted campaigns.
- Account farming techniques, such as slow-drip activity to evade velocity checks or using stolen/aged accounts to appear legitimate.
Blockchain-Ads treats any suspected non-compliant or abusive behavior with the utmost seriousness, as it undermines trust in the ecosystem and can negatively impact campaign performance for advertisers.
Formal Investigation Process
A formal investigation may be initiated either at Blockchain-Ads’ sole discretion (based on automated flags or internal monitoring) or upon a substantiated request from an affected advertiser demonstrating material negative impact (e.g., statistically significant degradation in conversion quality, retention, engagement depth, or elevated chargeback/refund rates attributable to invalid traffic).
Upon formal initiation of an investigation:
- All suspected account(s)—including any correlated or linked accounts identified through forensic clustering (e.g., shared device fingerprints, IP subnet overlap, behavioral pattern similarity, or transaction linkage)—will be placed under immediate and indefinite suspension.
- During the suspension:
- All account privileges will be revoked, prohibiting any user-initiated actions, including but not limited to campaign creation, editing, launching, pausing, or deletion.
- Access to optimization tools (bidding strategies, targeting rules, audience segmentation, creative management, and rule-based automation) will be fully disabled.
- Financial operations, including balance top-ups, refunds, withdrawals, or incentive redemptions, will be blocked.
- API endpoints, webhook integrations, and third-party tracking access will be revoked to prevent external interaction.
- All active, scheduled, or draft campaigns associated with the suspended account(s) will be automatically paused at the system level. These campaigns will remain inaccessible and cannot be resumed, duplicated, cloned, or relaunched until the investigation is conclusively resolved and any restrictions explicitly lifted.
- The suspension will remain in force for the entire duration of the investigation, which typically spans 5–30 business days depending on case complexity, data volume, and requirements for cross-verification with external sources.
Investigations are executed with strict impartiality, methodological rigor, and full auditability by our dedicated Compliance and Forensic Team. The process incorporates multi-source forensic analysis, including:
- Granular review of server-side logs (access timestamps, API request sequences, event metadata).
- Advanced behavioral profiling via proprietary ML models (anomaly scoring, pattern clustering, velocity analysis).
- Deep inspection of device fingerprints, historical IP/geolocation trajectories, proxy/VPN signatures, and cross-device linkage.
- End-to-end transaction and conversion path auditing, including post-conversion lifecycle metrics (retention cohorts, activity decay, chargeback correlation).
- Integration with third-party threat intelligence feeds and fraud databases for external validation.
- Optional incorporation of advertiser-submitted evidence, subject to verification.
Outcomes are determined solely on evidentiary merit and may include:
- Full reinstatement – Complete restoration of account access and campaign functionality if no non-compliance is substantiated.
- Conditional reinstatement – Restoration with remedial adjustments (e.g., partial credit deductions proportional to validated invalid traffic volume).
- Permanent termination – Irrevocable account closure with loss of all privileges.
- Balance forfeiture – Confiscation of remaining credits or bonuses attributable to non-compliant activity.
- Financial remediation – Deductions for chargebacks, refunds to affected parties, or compensatory credits.
- Escalation – Referral to law enforcement or regulatory bodies in cases involving suspected criminal fraud.
All parties will receive a detailed written outcome report summarizing findings, methodology, and rationale.
Recommendations for Mitigation Through Optimization Best Practices
To minimize the risk of encountering non-compliant traffic while maximizing campaign performance, we strongly recommend partnering with our Performance Team for proactive guidance. Standard optimization best practices that help address these potential issues include:
- Precise audience targeting – Layer multiple filters including demographics (age, gender), interests (crypto wallets, DeFi apps, NFT communities), behavioral signals (past conversions, wallet activity), and lookalike audiences based on your highest-LTV users. This naturally attracts genuinely motivated users while deterring opportunistic bonus hunters who lack real alignment with your offer.
- Geo- and device-specific segmentation – Run separate campaigns for proven high-quality regions (e.g., Tier-1 countries with strong crypto adoption) and device types (e.g., native iOS/Android over desktop). Automatically exclude or cap traffic from known high-risk geos, datacenter IPs, or low-end emulators to prevent proxy-based abuse.
- Whitelist/blacklist management – Build and maintain dynamic whitelists of top-performing publishers/sub-sources based on historical ROI, retention, and quality metrics. Aggressively blacklist any sources showing early signs of degradation (e.g., sudden CR spikes without corresponding retention), preventing bad traffic from scaling.
- Conversion rate monitoring with auto-rules – Set up real-time alerts and automated rules to pause sources exhibiting suspicious patterns, such as CR > 30% on incentivized actions, bounce rates > 80%, or session durations < 10 seconds. Combine with event-based triggers (e.g., pause if >5 sign-ups from identical fingerprints in 1 hour).
- Capped daily budgets and phased scaling – Launch new campaigns or sources with strict daily caps (e.g., $100–$500 initial spend) and gradual ramp-up over 3–7 days. This “test-and-learn” approach allows early detection of anomalies before significant budget is exposed, giving time to validate traffic quality through post-conversion metrics.
- Post-click and post-conversion engagement requirements – Optimize toward sources that deliver deeper funnel progression: require minimum session depth (e.g., 3+ page views), time-on-site (>2 minutes), or downstream events (wallet connection, first transaction within 7 days). Weight bids higher for traffic showing strong retention signals to naturally filter out low-intent or fraudulent users.
- Incentive structure review and anti-abuse design – Collaborate with our team to restructure bonuses for greater fraud resistance: implement time-locked rewards (e.g., bonuses vest after 30 days of activity), minimum engagement thresholds (e.g., complete KYC + first deposit + trade volume), tiered rewards based on sustained behavior, or capped referral payouts. Avoid high upfront incentives that disproportionately attract abusers.
- Advanced tracking and attribution enhancements – Implement server-to-server postbacks, fingerprint-based deduplication, and cohort analysis to accurately attribute conversions while detecting multi-account patterns early.
Our Performance Team is available to audit your setup, recommend custom rules, and implement these strategies for sustainable, high-ROI results.
For any questions about this protocol or to request assistance, please reach out to your account manager or contact@blockchain-ads.com.
Blockchain-Ads Compliance Department
Last updated: January 2026.
