Which Google Ads sources send real traffic?
Not all Google Ads 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.
placement in Google AdsThe buyer pastes/uploads the list of bad placements (site URLs, app IDs, YouTube channel/video IDs) as placement exclusions — per campaign, account-wide, or into a shared placement exclusion list applied across accounts (up to 20,000 entries per paste, 65,000 exclusions per account).
ValidVisit reports the device, OS, browser — down to the version — plus the language and ISP behind every flagged visit, and Google Ads supports OS version, language, device type and connection type targeting. The segments we flag are segments you can exclude.
How invalid traffic slips in through Google Ads sources.
Google Ads is where search intent meets paid placement — and where that intent is sometimes manufactured. Most clicks from a well-targeted search campaign are genuine. But the search channel carries two IVT pressures that other channels largely don't: patterns consistent with competitor click automation on high-value keywords, and repeat-clicking from the extended inventory that Search Partners and Performance Max campaigns pull in. What makes search IVT hard to catch with simple account-level rules is how tightly it concentrates — often on a handful of exact-match terms, specific time windows, or narrow geographic clusters — while blending into otherwise clean traffic. ValidVisit loads asynchronously on your landing page and, once a click has arrived, weighs the visit against 100+ independent data points spanning the network it came from, the device behind it, and how the visitor behaves, then folds them into a single 0-100 quality score. For search traffic, the most telling difference is between a session that looks like a person who typed a query and opened a browser, and one that looks like it was generated by a server farm or automation kit — the former earns a high score, the latter stands out as low. Scoring happens entirely after the click lands, so nothing sits in the click path and ValidVisit never blocks or auto-excludes anything; what it gives you is the evidence. The full audit trail ties back to Google's gclid through auto-tagging passthrough — no extra hop touches the click path, so conversion tracking is never disrupted.
Search IVT on Google Ads tends to express itself differently than the bot-farm traffic common on display or native channels. The most frequently encountered pattern is click activity that carries the marks of competitor automation: sessions arriving on high-CPC branded or category keywords, exhibiting near-zero dwell, no scroll, and an overall profile that clusters tightly with other clearly non-human visits. These sessions are not necessarily running at high volume — their impact is on budget pacing and Smart Bidding signal quality rather than on raw impression counts. A second pattern appears in the extended network. Search Partners and Performance Max campaigns reach inventory beyond core Google Search, and some of that inventory originates from sub-sources where the referrer geography or network owner does not align with a plausible search session. ValidVisit's scoring can surface these mismatches — a visit whose network and location simply don't add up against the keyword's audience drags its quality score down even when it clears basic behavioral checks. A third pattern worth monitoring on Shopping and PMax campaigns is repeat-click activity: the same device or network range returning to the same product listing multiple times within a session window, adding cost without any additional signal value for your bidding algorithms. None of these patterns announces itself in aggregate campaign metrics. They become visible only when scored at the individual visit level and attributed back to the dimension — keyword, campaign, or network segment — where they concentrate.
What to watch on Google Ads
Pass {keyword} as a ValidVisit parameter and review the score distribution per keyword rather than per campaign. Patterns consistent with competitor automation almost always concentrate on a tight cluster of high-CPC terms — your broad-match or long-tail volume typically looks clean while one or two exact-match terms carry a disproportionate share of low-score sessions.
Use the {campaignid} dimension alongside the click timestamp in your ValidVisit reports. Automation tends to run on a fixed schedule — visits that already score low on quality often pile up in hours when genuine searchers in your target timezone are unlikely to be active. Comparing those flagged sessions to your known conversion-time distribution is a useful triangulation step.
Segment ValidVisit data by the network source your Google Ads account reports alongside the gclid. If Search Partners inventory produces a consistently higher proportion of low-scoring sessions than core Google Search, the per-visit breakdown in ValidVisit shows you how wide the gap is and how consistently it holds — giving you the evidence to justify a Search Partners exclusion at the campaign level, applied manually in your account.
PMax campaigns span multiple inventory types, making the click origin harder to inspect inside Google Ads alone. ValidVisit's per-visit view across sessions can reveal when the same network range is generating repeat clicks against the same campaign, adding spend without proportional value to your bidding data — a pattern that is worth surfacing before it tilts your target-CPA or ROAS models.
Pinpoint the bot publishers & placements in Google Ads.
Google 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 Google Ads tokens, not by creative (which says nothing about whether a click was human).
Bought as one Google Ads line, your spend is a single number. Scored per sub-source it runs from 83 down to 22 — the worst is nearly all bots. That’s the leak a blended average hides.
Google Ads traffic scored 0–100 per sub-source, worst first — down to the placement you buy.
Google Ads exposes campaign-level tokens; we break invalid traffic down by campaign and per-click id, and surface the offending networks and devices behind the bot clicks.
Per-click id: Google 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 Google Ads sub-sources scored this way.
How ValidVisit attributes Google Ads traffic
Each Google 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=google-ads&utm_medium=search&vv_campaign_id={campaignid}&vv_adset_id={adgroupid}&vv_creative_id={creative}&vv_keyword={keyword}&gclid=(auto-tagging)| Token | Google Ads macro | Maps to | Identifies |
|---|---|---|---|
| Campaign ID | {campaignid} | campaign_id | campaign |
| Ad Group ID | {adgroupid} | adset_id | adset |
| Creative ID | {creative} | creative_id | creative |
| Keyword | {keyword} | keyword | keyword |
| Click ID (gclid) | (auto-tagging) | gclid | click |
- Google Ads macro
{campaignid}- Maps to
- campaign_id
- Identifies
- campaign
- Google Ads macro
{adgroupid}- Maps to
- adset_id
- Identifies
- adset
- Google Ads macro
{creative}- Maps to
- creative_id
- Identifies
- creative
- Google Ads macro
{keyword}- Maps to
- keyword
- Identifies
- keyword
- Google Ads macro
(auto-tagging)- Maps to
- gclid
- 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 placements on Google Ads.
Scoring and attribution are the means — the point is cutting the Google 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 Google 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 Google 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 Google Ads and put your next dollar behind the traffic that converts.
Google Ads traffic quality, answered.
Does ValidVisit interfere with gclid-based conversion imports or Smart Bidding signals?+
No. ValidVisit loads asynchronously on your landing page and does not touch or divert the click before it arrives. The gclid Google appended to the URL stays intact, and your conversion import pipeline reads it exactly as it would without ValidVisit in place. ValidVisit appends its own session parameter separately, so the two systems coexist without conflict. Smart Bidding continues to receive your conversion events unaltered — the value ValidVisit adds is the scored visit log that lets you identify which sources are feeding it low-quality signals.
Google Search Partners don't expose a site or placement token — how does ValidVisit surface sub-source quality there?+
You're right that Google does not give advertisers a granular placement-level token for Search Partners inventory the way a native or display network would. ValidVisit works around that by scoring each visit on its own merits: every visit is weighed against 100+ data points covering the network it arrived on, the device behind it, and how the visitor behaves, all rolled into one 0-100 quality score. Clicks that look like they came from a server farm, an automation kit, or an origin that doesn't match a real search-engine referrer chain score low. You can correlate those scores with the network segment reported in your Google Ads account to decide whether Search Partners is carrying a quality gap worth acting on.
My Google Ads account already shows 'invalid click' credits — what does ValidVisit add beyond that?+
Google's invalid click credits address clear-cut, high-confidence bot traffic that the network can classify and remove from billing. That filtering is genuinely useful. ValidVisit scores the visits that arrive after that upstream layer — including lower-confidence automation, sessions that look slightly off without ever triggering a credit, and repeat-click patterns that fall below network-level thresholds. And because every visit comes with its own quality score and the dimension it concentrates on, the result is directly actionable: you take the flagged keyword, IP range, or network segment and apply a manual exclusion or bid adjustment yourself inside Google Ads, without waiting to see whether a credit materializes.
Detect fraud on other search networks
Find the bots in your Google Ads spend.
See which publishers and placements send real buyers vs bots — every visit scored 0–100, worst first.
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