Plausible visits, recurring sequences
Similar activity patterns recur across otherwise ordinary-looking sessions.
Learn Click Fraud
Investigate ad fraud that looks like real traffic.
Look beyond click counts. Review behavior, network and device evidence behind Valid, Suspicious and Invalid visits.
200 free click credits · No credit card · No subscriptionTraffic quality overviewDEMO DATA
72%Valid
18%Suspicious
10%Invalid
Campaign 4821 · Placement 318Invalid
Click evidence
Example signals: recurring interaction sequences and inconsistent device context. Review the combined evidence.
Learn how to inspect a clickIllustrative report, not customer results. A verdict does not establish a fraud operator’s identity or prove SIVT.
KNOW THE SIGNS
What is sophisticated invalid traffic?
Sophisticated invalid traffic (SIVT) is invalid advertising activity that requires deeper analysis to identify, rather than straightforward filtering alone. It may involve coordinated activity, manipulated signals or automation that resembles ordinary visits.Industry terminology: MRC invalid traffic guidelines
Changing networks, similar behavior
Different IP addresses accompany recurring device or interaction signals.
Engagement without meaningful outcomes
Traffic volume and surface engagement rise without comparable customer actions.
WHY IT MATTERS
Why sophisticated ad fraud is difficult to spot.
A plausible IP address or normal-looking session is not enough to establish traffic quality. Review relationships between signals and patterns across visits.Human-like activity
Advanced automation can mimic some interaction patterns. An apparently engaged session is not, by itself, proof of genuine buying intent.
Distributed or manipulated signals
Coordinated traffic may use changing networks or manipulated device signals. Review inconsistencies across visits rather than treating an IP as a complete answer.
Reporting and budget decisions
Invalid visits can complicate conversion rates and source evaluation. Poor performance may also reflect targeting, tracking or landing-page problems.
MULTI-SIGNAL TRAFFIC ANALYSIS
How to investigate sophisticated invalid traffic.
JuicyTraffic analyzes collected advertising landing visits and provides evidence for review. Combine behavior, network and device context; no single signal proves SIVT.Behavior across visits
Review repeated interaction sequences and timing alongside the expected campaign journey. One unusual visit is not enough to establish coordinated fraud.
Network and device relationships
Compare collected network and device evidence across related visits. VPNs, shared networks and privacy tools can also affect these signals.
Source and campaign context
Use the identifiers you pass to locate recurring patterns. Review classifications alongside conversion tracking and ad-platform reports.
Seeing these patterns? Check your actual clicks.Analyze My Traffic Free
FROM COUNTS TO EVIDENCE
Before & After JuicyTraffic
Before traffic analysis
- Normal-looking visits provide little reassurance.
- Single-signal checks leave unanswered questions.
- Aggregated reports can hide recurring activity.
- Source decisions depend mainly on click volume.
- Changes are difficult to assess.
With JuicyTraffic
- Review behavior, network and device context together.
- Inspect the supporting evidence behind visit classifications.
- Investigate patterns in individual click records.
- Compare traffic quality across tracked campaigns and sources.
- Monitor incoming visits and review supported action records.
See the difference in your own traffic.Analyze My Traffic Free
INVESTIGATE AND RESPOND
Turn suspicious patterns into informed actions.
Detecting a pattern and blocking a source are separate steps. Match your response to the evidence and the controls available for your channel.Review the click evidence
Inspect matched signals and recurring activity before treating a suspicious visit as an exclusion candidate.
Inspect a clickChoose supported controls
Review IP exclusions, source changes or connected actions supported by your setup. Confirm execution in Activity records.
Explore connected actionsMonitor what changes
Compare incoming traffic quality and conversion performance after changes. Neither a risk label nor an exclusion guarantees better campaign results.
START FREE
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Sign up and get 200 free click credits · No credit card required · No subscriptionNeed more? Paid credits start at $15. No subscription. Purchased credits never expire.
FAQ
A few things before you start.
01Why choose JuicyTraffic?
Look at patterns, not just one click
Review behavior, network, device and timing evidence across related visits. Compare the campaigns, sources and placements you track to investigate recurring activity.
Evidence you can inspect
Valid, Suspicious and Invalid classifications come with signals you can review. Human visits can also be low quality; a verdict does not identify an operator or prove intent.
Network context and your control
Shared IP addresses and VPNs can belong to real customers. Review the supporting evidence before adding an IP to your exclusion list; a suspicious verdict is not itself a blocking instruction.
Conversion context and configurable rules
With conversion tracking configured, compare visit quality with customer actions. Review matched rules and adjust available detection settings for future visits. A conversion does not automatically prove a visit is genuine or reverse an exclusion.
Evidence for campaign decisions
Use traffic-quality findings alongside campaign results when reviewing sources and budget. Connected actions depend on supported integrations and configuration; analysis alone does not retrain Smart Bidding.
Start free, continue on your terms
Sign up for 200 free click credits without a credit card. Paid credits start at $15, with no subscription, and purchased credits never expire.
02What is the difference between GIVT and SIVT?
General invalid traffic (GIVT) can be identified through routine filtering, such as known crawler or non-human traffic signals. Sophisticated invalid traffic (SIVT) requires deeper analysis. These are industry concepts, not interchangeable with JuicyTraffic’s Valid, Suspicious and Invalid labels. Read the full guide: SIVT: how it differs from GIVT and how to spot it.
03Is SIVT the same as bot traffic?
No. Sophisticated invalid activity may involve advanced automation, coordinated human activity or manipulated signals. Bot traffic describes automation and can also include useful crawlers.
04Does a proxy or residential IP prove fraud?
No. Legitimate visitors may use VPNs, proxies or shared networks. Review these signals alongside behavior, device context and campaign patterns.
05Does JuicyTraffic provide certified SIVT measurement?
This page describes an investigation workflow, not an accredited SIVT measurement service. JuicyTraffic provides visit classifications and supporting evidence; these do not certify a visit as SIVT.
06Can I use this alongside Google Ads filtering?
Google says it identifies and filters invalid clicks. Compare your collected landing visits with platform reports, allowing for different counting rules.
07Will suspicious visits be blocked automatically?
A suspicious classification is a reason to review evidence. Exclusions and connected actions depend on your configuration and supported integrations. Monitoring does not guarantee universal automatic blocking.
08Do I need a subscription?
No. Sign up for 200 free click credits without a credit card. Paid credits start at $15 and purchased credits never expire.
09Can I analyze historical traffic?
This workflow analyzes new advertising landing visits collected after tracking is configured. It does not automatically retrieve historical ad clicks.
10How are click credits used?
Each unique accepted advertising landing visit uses one credit, regardless of classification. Follow-up events and retries do not cost extra. Monitoring pauses when credits run out, without an automatic charge.