Use ValidVisit's per-segment evidence to opt out of weak Syndicated Search / Audience partners, apply website exclusions where allowed, and claim invalid-click credits.
Microsoft Ads reaches searchers through Bing.com, but the inventory you actually buy extends considerably further. Clicks can originate from Microsoft Search in Bing, the Microsoft Audience Network (display and native units across MSN, Outlook, and partner properties), and a syndicated search partner tier whose individual properties Microsoft does not name in the click URL. That layered supply chain means a campaign that looks clean at the keyword level can still carry a meaningful share of automated or low-intent traffic routed through partner surfaces that never appear by name in standard reporting. ValidVisit attaches to each click via the msclkid auto-tag and any custom parameters you append, then judges the visit against 100+ independent data points — drawn from the network the click came from, the device behind it, and the way the visitor actually behaves — and folds them into a single 0–100 quality score that it attributes to the keyword, ad group, campaign, or device dimension you have instrumented. Suspect sessions are flagged for your review; you decide which sub-sources to exclude inside the Microsoft Ads dashboard. Nothing intercepts or diverts the click — the scoring happens after the visitor lands.
https://yoursite.com/landing?utm_source=microsoft-ads&utm_medium=search&vv_campaign_id={CampaignID}&vv_adset_id={AdGroupID}&vv_ad_id={AdId}&vv_keyword={keyword}&msclkid=(auto-tagging)Search inventory on Microsoft Ads faces IVT pressures that differ from those on pure-display or native channels, and understanding how they surface in this channel's data structure shapes what to monitor.
The search partner tier is the least transparent layer. Microsoft does not pass a publisher or site identifier through the click URL for partner search traffic, so bot-generated clicks from a troubled syndication partner look identical to Bing.com clicks at the URL level. The first signal is usually a behavioral cluster: ValidVisit's quality scoring will surface a concentration of low-scoring clicks that does not map to any keyword change or bid adjustment you made. The way those visits arrive and behave — many of them riding through datacenter ranges or proxy pools — tends to repeat in a tight pattern, which separates them from the organic spread of real Bing search clicks.
On branded and high-commercial-intent keywords, patterns consistent with competitor automation sometimes appear. These sessions are the hardest to call definitively: they often use residential connections and real browser builds, so no single observation is conclusive. What ValidVisit can do is weigh dozens of co-occurring data points on the same narrow keyword set — repeated click patterns from the same network neighborhood, landing-page behavioral anomalies, and shared device characteristics — and roll the combination into one quality score it surfaces for your review. This is inferential, not guaranteed detection.
The Microsoft Audience Network introduces a different dynamic. Native and display placements on partner properties can carry bot traffic tied to specific publisher zones that are not exposed in the click URL, making ad-group-level divergence the practical proxy for placement-level quality. If an ad group running on the Audience Network shows a consistently higher IVT rate than a structurally similar campaign running on search-only, the gap is worth investigating at the device and audience-segment level using ValidVisit's breakdown.
Microsoft Ads passes the matched keyword via {keyword}. In ValidVisit's keyword breakdown, look for a small cluster of your most expensive terms driving a share of low-quality clicks well above their share of total click volume. This asymmetry is a consistent signal of targeted automated activity on commercially valuable queries, and it distinguishes keyword-specific pressure from general account-wide noise.
The {AdGroupId} token lets ValidVisit segment click quality by ad group. When two ad groups share a budget but show meaningfully different IVT rates, the divergence often traces to one group running on the Audience Network while the other is search-only — or to a specific keyword theme attracting automation. Tracking this split is more actionable than looking at campaign-level averages alone.
Spikes in low-scoring sessions — many of them arriving through datacenter ranges or proxy pools — that do not coincide with a keyword bid change or audience expansion usually point to a syndicated search partner zone routing automated traffic through your campaign. Because Microsoft does not expose the partner site in the click URL, that quality dip is often the only early signal available before the pattern grows.
Microsoft's msclkid is issued once per genuine click event. ValidVisit flags cases where the same click ID is observed alongside different IP addresses or device profiles within a short window, which suggests click-ID harvesting or server-side injection aimed at fabricating conversion credit rather than genuine landing-page visits.
Each Microsoft Ads (Bing) macro maps to a normalized parameter, so every scored click is pinned to the right campaign, creative and publisher.
| Token | Microsoft Ads (Bing) macro | Maps to | Identifies |
|---|---|---|---|
| Campaign ID | {CampaignID} | campaign_id | campaign |
| Ad Group ID | {AdGroupID} | adset_id | adset |
| Ad ID | {AdId} | ad_id | ad |
| Keyword | {keyword} | keyword | keyword |
| Click ID (msclkid) | (auto-tagging) | msclkid | click |
{CampaignID}{AdGroupID}{AdId}{keyword}(auto-tagging)Microsoft Ads (Bing)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 Microsoft Ads (Bing) tokens, not by creative (which says nothing about whether a click was human).
Illustrative example — Microsoft Ads (Bing) traffic scored 0–100 per sub-source, worst first.
See your own Microsoft Ads (Bing) sub-sources scored this way.
Microsoft Ads (Bing) exposes campaign-level tokens; we break invalid traffic down by campaign and per-click id, and surface the offending ASNs, devices and networks behind the bot clicks.
Per-click id: Microsoft Ads (Bing) passes a unique click id, so we also run velocity, deduplication and repeat-source checks on every click.
Compare bot & invalid-traffic breakdown across every ad network →Every click is weighed against more than a hundred independent data points and reduced to a single, sortable 0–100 quality score.
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.
The detection model is ours and stays that way. What you get is a clear verdict on every click — not a single brittle rule you can game, and not an unexplained number you can't act on.
Every verdict maps to the campaign, publisher and placement that sent the click — so you know exactly which source to cut.
The msclkid auto-tag is the foundation — ValidVisit reads it natively and ties each score to the corresponding click ID. Beyond that, appending {keyword}, {AdGroupId}, and {CampaignId} as custom URL parameters unlocks the dimensions most useful for IVT analysis: keyword-level clustering lets you spot targeted automation on specific terms, and ad group segmentation exposes quality differences between your search and Audience Network placements. {AdId} is useful for completeness but tends to be less diagnostic for traffic quality purposes. Neither auto-tagging nor custom parameters require a funnel hop — the scoring script runs on your landing page after the click arrives.
Not by name — Microsoft withholds the partner site identifier from the click URL, which is a genuine limitation of what any post-click tool can recover. What ValidVisit can surface is the session-level profile of the problematic traffic: the quality score it earns, the network neighborhood and proxy pools it routes through, and the behavioral pattern it leaves on the landing page. Armed with that, the practical next step is using Microsoft's IP exclusion feature or device/audience targeting adjustments to reduce exposure to that traffic profile, rather than waiting for a named-partner exclusion that Microsoft's interface does not support.
ValidVisit is a detection and reporting layer — it scores and flags, and you act. The workflow is: export the flagged IP ranges or sub-source clusters from the ValidVisit dashboard, then apply them inside Microsoft Ads using IP exclusions (available at the campaign level), negative audience segments, or bid modifiers for the device and location combinations driving elevated risk scores. For keyword-level issues, the keyword report gives you the exact terms to add to negative keyword lists or to move to stricter match types. There is no automated push to the Microsoft Ads API at this time — the exclusion step is a deliberate manual review.
See which campaigns and publishers send real, converting traffic vs bots — every click scored 0–100.
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