Which Baidu Ads (Search) sources send real traffic?
Not all Baidu Ads (Search) traffic is equal. ValidVisit scores every visit 0–100 and pins it to the exact source that sent it — so you can tell real humans from bots and invalid clicks, worst sources first.
A buyer with a bad-source list cannot exclude individual partner sites/placements on Baidu Search — they can only switch the entire search-partner network off at the campaign level, and paste bad IPs/IP-ranges into the IP排除 tool (≤200 IPs + 3 IP ranges) or let 商盾 auto-block repeat clickers.
ValidVisit reports the device, OS, browser — down to the version — plus the language and ISP behind every flagged visit, and Baidu Ads (Search) supports OS and device type targeting. The segments we flag are segments you can exclude.
How invalid traffic slips in through Baidu Ads (Search) sources.
Baidu Search Ads operate in one of the most concentrated paid-search ecosystems on the internet, where a relatively small set of high-commercial-intent keywords commands fierce bidding competition. That concentration creates a specific pressure: invalid traffic on paid search in mainland China does not arrive as undifferentiated background noise — it gravitates toward the same branded and category-leader queries where clicks are most expensive. Competitor-adjacent automation, keyword-specific scripting, and reseller accounts inflating impression counts all produce sessions that look superficially legitimate because they arrive through the Baidu SERP in the expected sequence. ValidVisit watches each session after it lands on your page — no funnel hop, no perceptible latency — and runs it through more than 100 independent data points covering the network the click came from, the device sitting behind it, and how the visitor actually behaves, distilling all of that into a single 0-to-100 quality score for the visit. Because this scoring happens once the visit has arrived rather than in the click path itself, nothing is ever blocked or auto-excluded; you get a clean read on which Baidu sub-sources are pushing humans and which are pushing bots. Baidu's bd_vid parameter gives each click a unique identifier, so every ValidVisit score is linkable to a specific click record — meaning you can export a precise list of suspect click IDs and cross-reference it against your Baidu reporting to manually remove tainted sessions from the conversion signals feeding Baidu's smart-bidding algorithms.
Search IVT on Baidu has a signature that differs from what you see in display or native inventory. Rather than broad, low-engagement sweeps across a campaign, the pressure concentrates on individual keyword IDs at specific ad positions — typically top-of-page placements on branded terms or high-value category queries. A cluster of clicks arriving within a compressed time window, all sharing the same narrow networking footprint, is one recognizable shape. What prevents Baidu's own deduplication from catching many of these is address rotation: the sessions cycle through a pool of IPs wide enough to look distinct at the ad-server level, yet across the full spread of signals ValidVisit weighs, the same underlying tooling clearly generated every request — which is why they cluster at the low end of the quality score even when each click looks unique in isolation. A separate pattern that is particularly relevant to Baidu's large mobile-search volume involves emulated mobile sessions. These present plausible mobile device profiles, but the way the visitor's environment and behavior line up tells a different story than a real handset would — a strong indicator of an automated environment dressed up as a phone, which the score reflects. A third cohort consists of sessions that never behave like a real visitor opening the page at all: server-driven hits that follow the click path from the SERP but show none of the hallmarks of a genuine human loading and interacting with your landing page, and they score accordingly. Because Baidu exposes the {keywordid} and {adposition} tokens in URL parameters, ValidVisit can attribute scored sessions to the exact keyword-and-rank combination that generated them, making it possible to act on specific placements rather than broad campaign averages.
What to watch on Baidu Ads (Search)
Top-of-page positions on high-CPC branded and category keywords are where invalid traffic concentrates most reliably on Baidu Search. Segment your ValidVisit data by keyword ID and ad position rank to find which specific combinations are generating elevated IVT scores — these are the first candidates for bid adjustment or manual exclusion in Baidu's own dashboard rather than blanket campaign-level changes.
Invalid traffic rarely distributes evenly across an account. Filtering ValidVisit scores by Baidu's plan ID (campaign) and unit ID (ad group) typically reveals that a disproportionate share of suspect sessions originates from one or two tightly targeted ad groups — usually those covering the most competitive commercial terms. Acting at the ad-group level avoids the blunt cost of pausing broader campaigns.
Baidu's bd_vid is a unique per-click identifier that ValidVisit captures automatically. This lets you produce an exact list of click IDs that received low quality scores and cross-reference it against your Baidu Ads click log. Removing those sessions from the conversion data you feed back into Baidu's automated bidding prevents invalid clicks from distorting bid adjustments and budget allocation.
Mobile search drives the majority of Baidu volume, which gives mobile-emulator bots a natural cover story. A session that pairs a hosting-provider connection with a mobile device profile — especially when the broader set of signals ValidVisit weighs lines up with automated tooling and drags the quality score down — is almost never a genuine smartphone user. Watch for this combination clustering on your highest-spend keyword groups.
Pinpoint the bot publishers & placements in Baidu Ads (Search).
Baidu Ads (Search) 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 Baidu Ads (Search) tokens, not by creative (which says nothing about whether a click was human).
Bought as one Baidu Ads (Search) line, your spend is a single number. Scored per sub-source it runs from 83 down to 29 — the worst is nearly all bots. That’s the leak a blended average hides.
Baidu Ads (Search) traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Bot / invalid-traffic score broken down by:
- Ad Position / Rank
{adposition}Display position and rank of the ad (广告展现排名), e.g. position prefix (cl/clg/mt/mb) plus rank number.
Per-click id: Baidu Ads (Search) 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 Baidu Ads (Search) sub-sources scored this way.
How ValidVisit attributes Baidu Ads (Search) traffic
Each Baidu Ads (Search) 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=baidu&utm_medium=search&vv_campaign_id={planid}&vv_adset_id={unitid}&vv_creative_id={creative}&vv_keyword={keywordid}&vv_placement_id={adposition}&vv_click_id=bd_vid| Token | Baidu Ads (Search) macro | Maps to | Identifies |
|---|---|---|---|
| Campaign (Plan) ID | {planid} | campaign_id | campaign |
| Ad Group (Unit) ID | {unitid} | adset_id | adset |
| Creative ID | {creative} | creative_id | creative |
| Keyword ID | {keywordid} | keyword | keyword |
| Ad Position / Rank | {adposition} | placement_id | placement |
| Click ID (bd_vid) | bd_vid | click_id | click |
- Baidu Ads (Search) macro
{planid}- Maps to
- campaign_id
- Identifies
- campaign
- Baidu Ads (Search) macro
{unitid}- Maps to
- adset_id
- Identifies
- adset
- Baidu Ads (Search) macro
{creative}- Maps to
- creative_id
- Identifies
- creative
- Baidu Ads (Search) macro
{keywordid}- Maps to
- keyword
- Identifies
- keyword
- Baidu Ads (Search) macro
{adposition}- Maps to
- placement_id
- Identifies
- placement
- Baidu Ads (Search) macro
bd_vid- 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 the sources bleeding your budget on Baidu Ads (Search).
Scoring and attribution are the means — the point is cutting the Baidu Ads (Search) 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 Baidu Ads (Search) 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 Baidu Ads (Search) publisher, placement and zone via the network's own tokens — so the bad traffic has an address, not just a headline percentage.
- Cut
Take the worst 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 Baidu Ads (Search) and put your next dollar behind the traffic that converts.
Baidu Ads (Search) traffic quality, answered.
How does ValidVisit connect its scores back to Baidu's click records?+
ValidVisit reads the bd_vid parameter from the landing page URL on every visit and attaches it to the scored session. Since bd_vid is unique to each Baidu click, you get a direct link between ValidVisit's quality score and the corresponding record in Baidu's click log — so instead of reasoning from aggregate metrics, you can export a list of specific click IDs that scored poorly and use it to clean up the conversion data you feed back to Baidu's bidding system.
Can ValidVisit surface patterns that look like competitor-click activity on my branded keywords?+
It can surface patterns consistent with that kind of activity, though attribution to a specific competitor is inherently inferential. When ValidVisit sees a run of sessions on the same branded keyword that all score low for the same underlying reasons — a hosting-provider connection, an automated-looking device, behavior that does not match a real searcher — arriving inside a short window, that combination is difficult to explain as organic search behavior. The {keywordid} token lets you isolate these patterns at the keyword level so you have concrete, scored evidence to review — and to factor into manual exclusion decisions inside your Baidu Ads account.
What does ValidVisit give me that Baidu's own invalid-click reporting does not?+
Baidu's platform-level filtering works from signals available to the ad server — mainly click-pattern anomalies it can observe within its own network. ValidVisit runs on your own domain and evaluates what actually arrives at your landing page, weighing more than 100 independent data points about the network, the device and the visitor's behavior into one 0-to-100 score per visit. These two perspectives are genuinely complementary. Baidu's filter addresses what it can see before the click resolves; ValidVisit measures and scores what reaches your infrastructure afterward, giving you auditable, per-click-ID data you can use to investigate discrepancies, brief your account team, and make informed manual exclusion decisions in Baidu's dashboard rather than relying solely on the platform's aggregate reporting.
Detect fraud on other search networks
Find the bots in your Baidu Ads (Search) spend.
See which publishers and placements send real buyers vs bots — every visit scored 0–100, worst first.
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