Which Bidvertiser placements send real traffic?
Not all Bidvertiser traffic is equal. ValidVisit scores every visit 0–100 and pins it to the exact placement that sent it — so you can tell real humans from bots and invalid clicks, worst placements first.
source in BidvertiserThe buyer pastes/adds the bad subid (traffic-source ID) list into the campaign's SubID Blacklist (or flips to whitelist-only mode — blacklist and whitelist are mutually exclusive per campaign), or lets Auto Optimization rules (target CPA/CR thresholds) auto-blacklist underperforming subids.
ValidVisit reports the device, OS, browser — down to the version — plus the language and ISP behind every flagged visit, and Bidvertiser 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 Bidvertiser placements.
Bidvertiser is a long-running self-serve PPC network spanning direct-link, banner and search-feed inventory across a broad base of smaller publishers. Its optimization model is built around the source id: Bidvertiser's own guidance is to improve ROI by excluding underperforming subids, so the {BV_SRCID} token is both the dimension you analyse and the unit you act on. ValidVisit captures {BV_SRCID}, {BV_CAMPID} and {BV_ADNAME} on arrival (with the {BV_CLICKID} for conversion matching), grades each visit on a 0–100 quality scale, and reports which sources carry invalid traffic — so the subids you exclude are chosen from evidence rather than from raw conversion lag alone.
Bidvertiser's long tail of smaller publishers and its search-feed inventory create two distinct IVT pressures. The first is low-quality source inventory: sources that route cheap, non-organic visitors into direct-link or banner clicks, where a share of the clicks come from automated sessions or users with no intent. Because each click carries a {BV_SRCID}, this concentrates visibly in specific sources rather than spreading evenly.
The second, relevant to the search-feed side, is patterns consistent with low-intent or automated clicking on contextual placements — sessions with near-zero dwell, arriving in tight clusters that look nothing like organic search behaviour. ValidVisit weighs each visit against more than 100 independent data points — where the click originated, the device sitting behind it, and the way the visitor actually behaves on the page — and folds them into one quality score, so real people pass and machine-driven clicks stand apart. That works on cheap inventory precisely because it doesn't lean on any single behavioural cue that's naturally weak there. Every finding is attributed to the {BV_SRCID}, so a single bad source is separable from the rest of a campaign.
What to watch on Bidvertiser
Rank {BV_SRCID} values by quality score and by the share of visits landing in the suspicious/bad tier. Bidvertiser's own optimization is subid-based, so this list maps directly onto the sources you exclude.
When a source's clicks cluster around questionable network origins and devices that don't add up, that points to automated or non-organic clicking. ValidVisit ties each pattern to the {BV_SRCID} so you exclude the right sub-source.
Contextual/search-feed visits are weighed across the full set of quality signals rather than time-on-page alone, so genuinely brief but real visits aren't mistaken for bots while automated clicking still surfaces.
Compare {BV_CAMPID} click volume against conversions; a spike in clicks without conversions usually traces to a specific source the per-subid breakdown will identify.
Pinpoint the bot publishers & placements in Bidvertiser.
Bidvertiser 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 Bidvertiser tokens, not by creative (which says nothing about whether a click was human).
Bought as one Bidvertiser line, your spend is a single number. Scored per sub-source it runs from 88 down to 21 — the worst is nearly all bots. That’s the leak a blended average hides.
Bidvertiser traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Bot / invalid-traffic score broken down by:
- Source ID
{BV_SRCID}Traffic source (subid) — the unit you block in the advertiser panel.
Per-click id: Bidvertiser 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 Bidvertiser sub-sources scored this way.
How ValidVisit attributes Bidvertiser traffic
Each Bidvertiser 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=bidvertiser&utm_medium=banner&vv_campaign_id={BV_CAMPID}&vv_publisher_id={BV_SRCID}&vv_ad_id={BV_ADNAME}&vv_click_id={BV_CLICKID}| Token | Bidvertiser macro | Maps to | Identifies |
|---|---|---|---|
| Campaign ID | {BV_CAMPID} | campaign_id | campaign |
| Source ID | {BV_SRCID} | publisher_id | publisher |
| Ad Name | {BV_ADNAME} | ad_id | ad |
| Click ID | {BV_CLICKID} | click_id | click |
- Bidvertiser macro
{BV_CAMPID}- Maps to
- campaign_id
- Identifies
- campaign
- Bidvertiser macro
{BV_SRCID}- Maps to
- publisher_id
- Identifies
- publisher
- Bidvertiser macro
{BV_ADNAME}- Maps to
- ad_id
- Identifies
- ad
- Bidvertiser macro
{BV_CLICKID}- Maps to
- click_id
- Identifies
- click
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 Bidvertiser.
Scoring and attribution are the means — the point is cutting the Bidvertiser 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 Bidvertiser 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 Bidvertiser 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 Bidvertiser and put your next dollar behind the traffic that converts.
Bidvertiser traffic quality, answered.
How do I set up ValidVisit for Bidvertiser?+
Add ValidVisit's script to your landing page and append Bidvertiser's macros — {BV_SRCID}, {BV_CAMPID}, {BV_ADNAME} and {BV_CLICKID} — to your destination URL. The pixel captures them on arrival and stores a scored verdict per visit, segmented by source and campaign, with nothing on the click path.
Can ValidVisit tell me which Bidvertiser subids to exclude?+
Yes — and it aligns with Bidvertiser's own optimization model. Because {BV_SRCID} is captured on every click, ValidVisit ranks your sources by quality and by how strongly each one trips the quality score, and you exclude the offenders yourself in the Bidvertiser advertiser panel. ValidVisit reports the evidence; the exclusion is yours to apply.
Is Bidvertiser worth running given its long tail of small publishers?+
Often yes — the long tail is where both cheap reach and invalid traffic live, so the deciding factor is whether you can tell them apart. Per-source scoring lets you keep the sources delivering real clicks and exclude the ones that don't, instead of judging the whole network by its blended numbers.
Detect fraud on other banner / display networks
Find the bots in your Bidvertiser spend.
See which publishers and placements send real buyers vs bots — every visit scored 0–100, worst first.
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