Supply · TikTok Traffic

Separate real social discovery from bot swarms and low-quality app traffic.

ClickTrust analyzes the click and post-click path behind TikTok campaigns, including app installs, landing sessions, and lead-gen flows.

What it catches

TikTok fraud surfaces

Fast-moving social traffic needs fast anomaly detection across session, device, and conversion quality.

Emulator and install anomalies

Detect suspicious app sessions, repeated device traits, and conversion trails that do not match real mobile users.

Viral-looking bot bursts

Find traffic floods with identical behavior, repeated geos, and weak post-click engagement.

Attention mismatch

Flag clicks that never scroll, never read, and never interact before submitting low-value conversions.

How it works

How ClickTrust fits TikTok

Keep experimentation fast without accepting every cheap click as real demand.

  1. 01

    Collect real session evidence

    Fingerprint the click, device, browser, app, source, and post-click behavior before it becomes a paid conversion.

  2. 02

    Score against ClickTrust traps

    Run every visit through behavioral, geo, IP, device, attention, and conversion-quality rules tuned to paid media.

  3. 03

    Push suppression and proof

    Turn findings into IP exclusions, audience suppression, partner evidence, and refund-ready reports.

Outcomes

What performance teams do with it

Keep winning creatives honest

Scale creatives that drive quality sessions, not just volume.

Block suspicious app paths

Share high-risk device and session evidence with app and MMP teams.

Cut low-quality spend quickly

Move budget away from source clusters that produce fake engagement.

Related coverage

Connect this surface to the rest of your fraud graph.

Know which traffic deserves budget.

Install once, score every channel, and turn suspicious traffic into exclusions, reports, and refund-ready proof.

Start protecting spend
Built on the same ClickTrust evidence chain