How to check SourceKnowledge traffic quality: every visit scored 0–100 and pinned to the native sub-source that sent it — worst first, with the evidence to act on.
SubID in SourceKnowledgeThe buyer adds each bad SubID to a Block list (or Global Block List) — or an Allow list to whitelist only good ones — either one-by-one from the Sub ID Summary dropdown or in bulk via the Tools > Allow & Block Lists interface, and can alternatively bid down/pause a SubID or automate it with Rules.
SourceKnowledge is a native channel — exactly where invalid traffic concentrates. See which SourceKnowledge publishers, placements and sub-sources send real clicks versus bots, attributed via SourceKnowledge’s own tracking tokens and scored 0–100 per source.
SourceKnowledge itself isn't the problem — bots and invalid traffic concentrate in a handful of its sub-sources: the publisher, site or zone, and the placement or widget within it. So we roll the score up by those SourceKnowledge tokens, not by creative (which says nothing about whether a click was human).
SourceKnowledge traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Bot / invalid-traffic score broken down by:
{subid}Per-click id: SourceKnowledge passes a unique click id, so we also run velocity, deduplication and repeat-source checks on every visit.
Compare bot & invalid-traffic breakdown across every ad network →See your own SourceKnowledge sub-sources scored this way.
Each SourceKnowledge macro maps to a normalized parameter, so every scored click is pinned to the right campaign, creative and publisher.
https://yoursite.com/landing?utm_source=sourceknowledge&utm_medium=native&vv_click_id={clickid}&vv_publisher_id={subid}&vv_ad_id={oadest}| Token | SourceKnowledge macro | Maps to | Identifies |
|---|---|---|---|
| Click ID | {clickid} | click_id | click |
| Sub/Source ID | {subid} | publisher_id | publisher |
| Destination / Ad | {oadest} | ad_id | ad |
{clickid}{subid}{oadest}Every visit is weighed against more than a hundred independent data points and reduced to a single, sortable 0–100 quality score.
Each data point is combined rather than checked in isolation, so a genuine human almost never trips enough of them to be flagged — and bots that beat one rarely beat the rest.
The detection model is ours and stays that way. What you get is a clear verdict on every visit — not a single brittle rule you can game, and not an unexplained number you can't act on.
Every verdict maps to the campaign, publisher and placement that sent the click — so you know exactly which source to cut.
Every SourceKnowledge click is weighed against 100+ independent data points spanning the network it came from, the device behind it and how the visitor behaves — combined into a single 0–100 quality score so real humans pass and bots stand out.
Yes. Using SourceKnowledge's own tracking tokens, ValidVisit attributes each scored click to the publisher, placement and sub-source, so invalid traffic is pinned to the exact sub-source — which you can then exclude manually in SourceKnowledge.
No. Detection runs from one lightweight script — no extra hop, no link rewriting, no change to your SourceKnowledge destination URLs.
See which campaigns and publishers send real, converting traffic vs bots — every visit scored 0–100.
Free trial at launch · just your email
One script · raw IP never stored · GDPR legitimate-interest basis