Which BIGO Ads placements send real traffic?
Not all BIGO Ads 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.
placement in BIGO AdsThe buyer switches from automatic to manual placement and unchecks entire media channels (Likee, imo, or the affiliate/audience-network bucket) — there is no documented field to paste a list of bad site/app/sub-source IDs, so a bad-source list can only justify turning off a whole channel (or excluding uploaded GAID use
ValidVisit reports the device, OS, browser — down to the version — plus the language and ISP behind every flagged visit, and BIGO Ads supports OS version, language and connection type targeting. The segments we flag are segments you can exclude.
How invalid traffic slips in through BIGO Ads placements.
See which BIGO Ads publishers, placements and sub-sources send real clicks versus bots, attributed via BIGO Ads’s own tracking tokens and scored 0–100 per source.
Pinpoint the bot publishers & placements in BIGO Ads.
BIGO Ads 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 BIGO Ads tokens, not by creative (which says nothing about whether a click was human).
Bought as one BIGO Ads line, your spend is a single number. Scored per sub-source it runs from 83 down to 17 — the worst is nearly all bots. That’s the leak a blended average hides.
BIGO Ads traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Bot / invalid-traffic score broken down by:
- Account ID
__ACCOUNT_ID__
Per-click id: BIGO Ads 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 BIGO Ads sub-sources scored this way.
How ValidVisit attributes BIGO Ads traffic
Each BIGO Ads 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=bigo-ads&utm_medium=social&vv_click_id=__SID__&vv_campaign_id=__CAMPAIGN_ID__&vv_campaign_name=__CAMPAIGN_NAME__&vv_publisher_id=__ACCOUNT_ID__&vv_adset_id=__AD_GROUP_ID__&vv_ad_id=__AD_ID__| Token | BIGO Ads macro | Maps to | Identifies |
|---|---|---|---|
| Click ID (SID) | __SID__ | click_id | click |
| Campaign ID | __CAMPAIGN_ID__ | campaign_id | campaign |
| Campaign Name | __CAMPAIGN_NAME__ | campaign_name | campaign |
| Account ID | __ACCOUNT_ID__ | publisher_id | publisher |
| Ad Group ID | __AD_GROUP_ID__ | adset_id | adset |
| Ad ID | __AD_ID__ | ad_id | ad |
- BIGO Ads macro
__SID__- Maps to
- click_id
- Identifies
- click
- BIGO Ads macro
__CAMPAIGN_ID__- Maps to
- campaign_id
- Identifies
- campaign
- BIGO Ads macro
__CAMPAIGN_NAME__- Maps to
- campaign_name
- Identifies
- campaign
- BIGO Ads macro
__ACCOUNT_ID__- Maps to
- publisher_id
- Identifies
- publisher
- BIGO Ads macro
__AD_GROUP_ID__- Maps to
- adset_id
- Identifies
- adset
- BIGO Ads macro
__AD_ID__- Maps to
- ad_id
- Identifies
- ad
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 placements on BIGO Ads.
Scoring and attribution are the means — the point is cutting the BIGO Ads 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 BIGO Ads 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 BIGO Ads placement and zone via the network's own tokens — so the bad traffic has an address, not just a headline percentage.
- Cut
Take the placements 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 BIGO Ads and put your next dollar behind the traffic that converts.
BIGO Ads traffic quality, answered.
How does ValidVisit detect invalid BIGO Ads traffic?+
Every BIGO Ads 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 BIGO Ads publishers send bots?+
Yes. Using BIGO Ads'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 BIGO Ads.
Does it require a funnel hop on my BIGO Ads links?+
No. Detection runs from one lightweight script — no extra hop, no link rewriting, no change to your BIGO Ads destination URLs.
Detect fraud on other social networks
Find the bots in your BIGO Ads spend.
See which publishers and placements send real buyers vs bots — every visit scored 0–100, worst first.
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