Which Bidvertiser placements send bots and invalid 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 suspect/invalid 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, a buy reads as a single number. Scored per sub-source, a spread like this illustration runs from 88 down to 21 — the worst is nearly all bots. That’s the leak a blended average hides.
Illustrative: 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.
Where does ValidVisit plug into a Bidvertiser campaign?
On the landing page and in the destination URL. Add ValidVisit’s script to the page, and carry Bidvertiser’s macros — {BV_SRCID}, {BV_CAMPID}, {BV_ADNAME} and {BV_CLICKID} — through as URL parameters. The pixel captures them the instant the visitor arrives and stores a scored verdict against that visit, broken out by source and campaign. There’s no change to the click path itself — scoring is a post-arrival step.
Which Bidvertiser subids should I be excluding, and how do I find out?
ValidVisit ranks them for you, and conveniently it’s the same dimension Bidvertiser already optimizes on. With {BV_SRCID} attached to every click, the dashboard sorts your sources by quality and shows how hard each one trips the score. You take the worst performers into the Bidvertiser advertiser panel and exclude them there yourself — ValidVisit builds the case, but the exclusion click is always yours.
Given how long Bidvertiser’s publisher tail runs, is it even worth bothering with?
Usually, yes — that long tail is precisely where cheap reach and invalid traffic both live, so the question isn’t whether to run it but whether you can tell the two apart. Scoring at the {BV_SRCID} level lets you keep whatever sources are sending real clicks and cut the rest, instead of judging the entire network by a blended average that hides both extremes.
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See which publishers and placements send real buyers vs bots — every visit scored 0–100, worst first.
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