Not all Clickaine traffic is equal. ValidVisit scores every visit 0–100 and pins it to the exact zone that sent it — so you can tell real humans from bots and invalid clicks, worst zones first.
site / publisher source in ClickaineThe buyer pastes/adds the bad PubIDs (publisher sources/placements) into the campaign's blacklist so the campaign keeps running on the rest of the inventory while skipping those sources, and later builds a whitelist campaign from the proven winners.
ValidVisit reports the device, OS, browser — down to the version — plus the language and ISP behind every flagged visit, and Clickaine supports OS, browser, language, device type and connection type targeting. The segments we flag are segments you can exclude.
Clickaine is a pop / pop-under channel — exactly where invalid traffic concentrates. See which Clickaine publishers, placements and sub-sources send real clicks versus bots, attributed via Clickaine’s own tracking tokens and scored 0–100 per source.
Clickaine 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 Clickaine tokens, not by creative (which says nothing about whether a click was human).
Bought as one Clickaine line, your spend is a single number. Scored per sub-source it runs from 91 down to 17 — the worst is nearly all bots. That’s the leak a blended average hides.
Clickaine traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Bot / invalid-traffic score broken down by:
[site_id]Per-click id: Clickaine 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 Clickaine sub-sources scored this way.
Each Clickaine 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=clickaine&utm_medium=pop&vv_click_id=[click_id]&vv_campaign_id=[camp_id]&vv_publisher_id=[site_id]&vv_ad_id=[ad_id]| Token | Clickaine macro | Maps to | Identifies |
|---|---|---|---|
| Click ID | [click_id] | click_id | click |
| Campaign ID | [camp_id] | campaign_id | campaign |
| Site ID | [site_id] | publisher_id | publisher |
| Ad ID | [ad_id] | ad_id | ad |
[click_id][camp_id][site_id][ad_id]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.
Scoring and attribution are the means — the point is cutting the Clickaine traffic that wastes your spend. Here's how ValidVisit gets you a list you can act on.
You buy Clickaine clicks; what arrives are visits. ValidVisit scores each one 0–100 so real humans stand out from bots and invalid traffic — one script, no funnel hop, no fingerprinting.
Every scored visit is tied to the exact Clickaine site / publisher source and zone via the network's own tokens — so the bad traffic has an address, not just a headline percentage.
You get the worst offenders as a ready-to-use list plus postbacks to your tracker — so you can exclude them in Clickaine and put your next dollar behind the traffic that converts.
Every Clickaine 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 Clickaine'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 Clickaine.
No. Detection runs from one lightweight script — no extra hop, no link rewriting, no change to your Clickaine destination URLs.
See which publishers and placements send real buyers vs bots — every visit scored 0–100, worst first.
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One script · no cookies · no fingerprinting · raw IP never stored