supply source in PushgroundValidVisit's per-source rate is exactly what Pushground's supply optimisation/exclusion consumes; exclude the bad sources.
Pushground is a self-serve, data-driven push network whose whole optimisation model is built around the supply source. It passes a {source} on every click — the supply/publisher behind it, and the unit you optimise and exclude — alongside {campaign_id}, {creativity_id} and a {click_id}. That makes it an unusually clean fit for invalid-traffic control: the dimension you measure is the dimension you act on. ValidVisit captures these tokens as each click lands, then weighs that click against more than 100 independent data points — the network it came through, the device sitting behind it, and the way the visitor actually behaves — and folds them into one 0–100 quality score. The result tells you which supply sources are carrying non-human traffic.
https://yoursite.com/landing?utm_source=pushground&utm_medium=push&vv_campaign_id={campaign_id}&vv_publisher_id={source}&vv_creative_id={creativity_id}&vv_click_id={click_id}Push traffic quality is a function of subscriber-list quality, and on Pushground that variation lives at the supply-source level. The defining pattern is subscriber-feed quality: a source built on incentivised or bot-inflated opt-ins clicks in unnaturally regular bursts aligned to send windows — reflexive or automated rather than intentional. Because ValidVisit's scoring takes in both how a click is timed and the environment it arrives from, that machine-like rhythm separates cleanly from a genuine subscriber tapping a notification.
What surfaces across sources is the gap between a real person on a real phone and an automated agent dressed up to look like one. Server-farm and proxy origins, clients that betray they aren't a normal browser, and visitors that never run the page the way a human session does all push a click toward the low end of the 0–100 scale. Because {source} rides on every click, every one of those judgements attributes back to the individual supply source, so a bad source is isolated from the rest of a campaign instead of dragging down the average.
Rank active {source} values by quality and by the share of clicks in the suspicious/bad tier. Sources above your baseline are exclusion candidates — the dimension Pushground's own optimisation uses.
Unnaturally even click bursts aligned to notification schedules point to bot-inflated feeds within a source; ValidVisit flags where that concentrates.
Automated subscribers behind a source tend to arrive from server-farm or relay infrastructure that scores poorly. ValidVisit ties each finding to the {source} so you exclude the right one.
When a single source carries a heavy cluster of bottom-of-scale clicks, that points to automated agents padding the feed rather than real subscribers.
Each Pushground macro maps to a normalized parameter, so every scored click is pinned to the right campaign, creative and publisher.
| Token | Pushground macro | Maps to | Identifies |
|---|---|---|---|
| Campaign ID | {campaign_id} | campaign_id | campaign |
| Supply Source | {source} | publisher_id | publisher |
| Creative ID | {creativity_id} | creative_id | creative |
| Click ID | {click_id} | click_id | click |
{campaign_id}{source}{creativity_id}{click_id}Pushgrounditself 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 Pushground tokens, not by creative (which says nothing about whether a click was human).
Illustrative example — Pushground traffic scored 0–100 per sub-source, worst first.
See your own Pushground sub-sources scored this way.
Bot / invalid-traffic score broken down by:
{source}The supply source / publisher — the sub-source you optimise and exclude.Per-click id: Pushground 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 Pushground's macros — {source}, {campaign_id}, {creativity_id} and {click_id} — to your destination URL. The pixel captures them as the click lands and stores a scored verdict per click, segmented by supply source, with nothing on the click path.
Yes — and it aligns with Pushground's own model. Because {source} is on every click, ValidVisit ranks your supply sources by quality and by what's dragging their scores down, and you exclude the offenders in your Pushground campaign. ValidVisit reports the evidence; the exclusion is yours to apply.
Push quality is set by how each supply source built its subscriber list. Scoring per source separates feeds of genuine, intentional subscribers from those padded with incentivised or bot opt-ins — the distinction a campaign-level average hides.
See which campaigns and publishers send real, converting traffic vs bots — every click scored 0–100.
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