zone in MondiadValidVisit ranks the bad [zoneid] (and subid); blacklist or lower the bid on them in your Mondiad campaign.
Mondiad is a self-serve push, native and pop network whose optimisation runs on the [zoneid] (a publisher, grouping many subids) and the granular [subid]. Both are units you can blacklist or custom-bid in the campaign, so zone/subid intelligence converts straight into action. Mondiad passes [zoneid], [subid], [campaignid] and a [clickid] on every click. ValidVisit captures these the moment the click lands, weighs it against 100+ independent data points — covering the network it came through, the device on the other end and how the visitor actually behaves — and folds them into one 0–100 quality score, then reports which zones and subids carry non-human traffic so you act on the exact sources rather than the campaign average.
https://yoursite.com/landing?utm_source=mondiad&utm_medium=push&vv_campaign_id=[campaignid]&vv_publisher_id=[zoneid]&vv_placement_id=[subid]&vv_click_id=[clickid]Mondiad's push inventory inherits the quality of its subscriber zones, and the pop/native side adds publisher-arbitrage pressure. The defining push pattern is subscriber-feed quality by zone: a [zoneid] built on incentivised or bot-inflated opt-ins clicks in unnaturally regular bursts aligned to send windows, and that mechanical rhythm is one of the things ValidVisit's scoring weighs apart from a genuine subscriber.
Across formats, the same idea applies — genuine humans look nothing like server farms or automation routed through proxies, so the two sit at opposite ends of the score once 100+ signals about the network, the device and the visitor's behaviour are combined. Automated traffic also tends to cluster inside specific zones rather than spread evenly across them. Because [zoneid] and [subid] ride on every click, ValidVisit attributes all of this back to the individual zone or subid — so a bad source is separable, and you can tell whether to blacklist it outright or simply lower its bid.
Rank active [zoneid] values by quality and by the share of clicks in the suspicious/bad tier. Zones above your baseline are blacklist or down-bid candidates.
Where a zone is mostly clean but one [subid] is bad, Mondiad's custom-bid-by-subid lets you cut just that segment — ValidVisit scores at the subid level to support it.
Unnaturally even click bursts aligned to notification schedules point to bot-inflated subscriber zones; ValidVisit flags where that concentrates.
When low-quality clicks pile up inside one zone rather than spreading across them, that concentration is a strong tell for automation — and the 0–100 score makes it stand out against the human baseline.
Each Mondiad macro maps to a normalized parameter, so every scored click is pinned to the right campaign, creative and publisher.
| Token | Mondiad macro | Maps to | Identifies |
|---|---|---|---|
| Campaign ID | [campaignid] | campaign_id | campaign |
| Zone ID | [zoneid] | publisher_id | publisher |
| Sub ID | [subid] | placement_id | placement |
| Click ID | [clickid] | click_id | click |
[campaignid][zoneid][subid][clickid]Mondiaditself 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 Mondiad tokens, not by creative (which says nothing about whether a click was human).
Illustrative example — Mondiad traffic scored 0–100 per sub-source, worst first.
See your own Mondiad sub-sources scored this way.
Bot / invalid-traffic score broken down by:
[zoneid]Publisher id (a group of subids) — the unit you blacklist or bid-adjust in the campaign.Bot / invalid-traffic score broken down by:
[subid]Granular sub-source within a zone, for per-subid optimisation.Per-click id: Mondiad 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.
Add ValidVisit's script to your landing page and append Mondiad's macros — [zoneid], [subid], [campaignid] and [clickid] — to your destination URL. The pixel captures them on arrival and stores a scored verdict per click, segmented by zone and subid, with nothing on the click path.
Yes. Because [zoneid] and [subid] are on every click, ValidVisit ranks your zones and subids by their 0–100 quality score, and you blacklist or down-bid the offenders in your Mondiad campaign. ValidVisit reports; the change is yours to apply.
The quality score helps you decide: a zone where the traffic scores low because it looks automated rather than human warrants a blacklist, while one with merely low-intent but genuine human visitors may warrant a bid reduction — Mondiad supports custom bids by zone and subid for exactly this.
See which campaigns and publishers send real, converting traffic vs bots — every click scored 0–100.
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