Which TrafficHunt zones send real traffic?
Not all TrafficHunt 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.
source/site in TrafficHuntThe buyer collects bad [adspace] IDs from their tracker/conversion reports and adds them to the campaign's blacklist (or whitelists only proven ones / sets per-source custom bids), optionally letting the CPA Optimizer auto-stop Adspaces that fail a test budget.
ValidVisit reports the device, OS, browser — down to the version — plus the language and ISP behind every flagged visit, and TrafficHunt supports OS, browser, language, device type and connection type targeting. The segments we flag are segments you can exclude.
How invalid traffic slips in through TrafficHunt zones.
TrafficHunt is a pop / pop-under channel — exactly where invalid traffic concentrates. See which TrafficHunt publishers, placements and sub-sources send real clicks versus bots, attributed via TrafficHunt’s own tracking tokens and scored 0–100 per source.
Pinpoint the bot publishers & placements in TrafficHunt.
TrafficHunt 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 TrafficHunt tokens, not by creative (which says nothing about whether a click was human).
Bought as one TrafficHunt line, your spend is a single number. Scored per sub-source it runs from 93 down to 26 — the worst is nearly all bots. That’s the leak a blended average hides.
TrafficHunt traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Bot / invalid-traffic score broken down by:
- Site ID
[site_id]
Bot / invalid-traffic score broken down by:
- Ad Space
[adspace]
Per-click id: TrafficHunt 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 TrafficHunt sub-sources scored this way.
How ValidVisit attributes TrafficHunt traffic
Each TrafficHunt 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=traffichunt&utm_medium=pop&vv_click_id=[txn_id]&vv_campaign_id=[camp_id]&vv_publisher_id=[site_id]&vv_placement_id=[adspace]&vv_ad_id=[ad_id]&vv_creative_id=[banner]| Token | TrafficHunt macro | Maps to | Identifies |
|---|---|---|---|
| Transaction/Click ID | [txn_id] | click_id | click |
| Campaign ID | [camp_id] | campaign_id | campaign |
| Site ID | [site_id] | publisher_id | publisher |
| Ad Space | [adspace] | placement_id | placement |
| Ad ID | [ad_id] | ad_id | ad |
| Banner (creative name) | [banner] | creative_id | creative |
- TrafficHunt macro
[txn_id]- Maps to
- click_id
- Identifies
- click
- TrafficHunt macro
[camp_id]- Maps to
- campaign_id
- Identifies
- campaign
- TrafficHunt macro
[site_id]- Maps to
- publisher_id
- Identifies
- publisher
- TrafficHunt macro
[adspace]- Maps to
- placement_id
- Identifies
- placement
- TrafficHunt macro
[ad_id]- Maps to
- ad_id
- Identifies
- ad
- TrafficHunt macro
[banner]- Maps to
- creative_id
- Identifies
- creative
How the detection works.
Data points → one score
Every visit is weighed against more than a hundred independent data points and reduced to a single, sortable 0–100 quality score.
Many angles, combined
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.
Proprietary, not a black box
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.
Pinned to the source
Every verdict maps to the campaign, publisher and placement that sent the click — so you know exactly which source to cut.
How ValidVisit helps you cut fraud and bad source/sites on TrafficHunt.
Scoring and attribution are the means — the point is cutting the TrafficHunt traffic that wastes your spend. Here's how ValidVisit gets you a list you can act on.
- Score
See what's actually landing
You buy TrafficHunt 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.
- Attribute
Pin the fraud to its source
Every scored visit is tied to the exact TrafficHunt source/site and zone via the network's own tokens — so the bad traffic has an address, not just a headline percentage.
- Cut
Take the source/sites off your buy
You get the worst offenders as a ready-to-use list plus postbacks to your tracker — so you can exclude them in TrafficHunt and put your next dollar behind the traffic that converts.
TrafficHunt traffic quality, answered.
How does ValidVisit detect invalid TrafficHunt traffic?+
Every TrafficHunt 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.
Can I see which TrafficHunt publishers send bots?+
Yes. Using TrafficHunt'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 TrafficHunt.
Does it require a funnel hop on my TrafficHunt links?+
No. Detection runs from one lightweight script — no extra hop, no link rewriting, no change to your TrafficHunt destination URLs.
Detect fraud on other pop / pop-under networks
Find the bots in your TrafficHunt spend.
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