Which ActiveRevenue zones send real traffic?
Not all ActiveRevenue 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 in ActiveRevenueThe buyer pastes bad source IDs into the campaign's Micro Targeting sources field set to Blacklist mode — sub-source IDs formatted with a leading dot (e.g. ".12456" for {source_subid}) and publisher feed IDs ({pubfeed}/{source}) as-is — or lets the CPA-goal Auto Blacklist add underperformers automatically.
ValidVisit reports the device, OS, browser — down to the version — plus the language and ISP behind every flagged visit, and ActiveRevenue supports OS, browser version, device type and connection type targeting. The segments we flag are segments you can exclude.
How invalid traffic slips in through ActiveRevenue zones.
ActiveRevenue is a pop / pop-under channel — exactly where invalid traffic concentrates. See which ActiveRevenue publishers, placements and sub-sources send real clicks versus bots, attributed via ActiveRevenue’s own tracking tokens and scored 0–100 per source.
Pinpoint the bot publishers & placements in ActiveRevenue.
ActiveRevenue 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 ActiveRevenue tokens, not by creative (which says nothing about whether a click was human).
Bought as one ActiveRevenue line, your spend is a single number. Scored per sub-source it runs from 84 down to 19 — the worst is nearly all bots. That’s the leak a blended average hides.
ActiveRevenue traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Bot / invalid-traffic score broken down by:
- Source Sub ID
{source_subid}
Per-click id: ActiveRevenue 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 ActiveRevenue sub-sources scored this way.
How ValidVisit attributes ActiveRevenue traffic
Each ActiveRevenue 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=activerevenue&utm_medium=pop&vv_click_id={conversion}&vv_campaign_id={campaign}&vv_publisher_id={source_subid}&vv_creative_id={banner}&vv_keyword={keyword}| Token | ActiveRevenue macro | Maps to | Identifies |
|---|---|---|---|
| Unique Click ID | {conversion} | click_id | click |
| Campaign ID | {campaign} | campaign_id | campaign |
| Source Sub ID | {source_subid} | publisher_id | publisher |
| Banner/Creative ID | {banner} | creative_id | creative |
| Keyword | {keyword} | keyword | keyword |
- ActiveRevenue macro
{conversion}- Maps to
- click_id
- Identifies
- click
- ActiveRevenue macro
{campaign}- Maps to
- campaign_id
- Identifies
- campaign
- ActiveRevenue macro
{source_subid}- Maps to
- publisher_id
- Identifies
- publisher
- ActiveRevenue macro
{banner}- Maps to
- creative_id
- Identifies
- creative
- ActiveRevenue macro
{keyword}- Maps to
- keyword
- Identifies
- keyword
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 sources on ActiveRevenue.
Scoring and attribution are the means — the point is cutting the ActiveRevenue 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 ActiveRevenue 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 ActiveRevenue source and zone via the network's own tokens — so the bad traffic has an address, not just a headline percentage.
- Cut
Take the sources 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 ActiveRevenue and put your next dollar behind the traffic that converts.
ActiveRevenue traffic quality, answered.
How does ValidVisit detect invalid ActiveRevenue traffic?+
Every ActiveRevenue 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 ActiveRevenue publishers send bots?+
Yes. Using ActiveRevenue'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 ActiveRevenue.
Does it require a funnel hop on my ActiveRevenue links?+
No. Detection runs from one lightweight script — no extra hop, no link rewriting, no change to your ActiveRevenue destination URLs.
Detect fraud on other pop / pop-under networks
Find the bots in your ActiveRevenue spend.
See which publishers and placements send real buyers vs bots — every visit scored 0–100, worst first.
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