Definition
Invalid Traffic (IVT) — Invalid Traffic, or IVT, is the formal industry term for any digital ad impression generated by something other than a legitimate human viewer — including data-center bots, AI scrapers, malware-driven hidden browsers, ad-stacking, pixel-stuffing, domain spoofing, and SDK spoofing. The Media Rating Council classifies IVT in two tiers: General Invalid Traffic (GIVT), which can be filtered through routine list- and rules-based detection, and Sophisticated Invalid Traffic (SIVT), which actively mimics human behavior and requires advanced analytics, multi-point corroboration, and human investigation to detect.
There is no single industry-wide figure, because the rate varies sharply by environment (web vs mobile vs CTV), by geography, and by whether the campaign is running with anti-fraud verification turned on. The most reliable benchmarks come from MRC-accredited measurement vendors that analyze billions of programmatic impressions per quarter.
Pixalate's Q3 2025 Global IVT & Ad Fraud Benchmarks — based on 106 billion programmatic ad impressions analyzed in Q3 2025 — and DoubleVerify's 2025 Global Insights Report establish the baseline numbers below.
Q3 2025 — share of programmatic web impressions flagged invalid
Pixalate Q3 2025 Global IVT & Ad Fraud BenchmarksQ3 2025 — highest of the three environments
Pixalate Q3 2025 Global IVT & Ad Fraud BenchmarksQ3 2025 — server-side ad insertion is the structural weak point
Pixalate Q3 2025 Global IVT & Ad Fraud Benchmarks16% of the spike tied to AI scrapers (GPTBot, ClaudeBot, AppleBot)
DoubleVerify 2025 Global Insights ReportNorth America +101% overall; Q4 2024 was the peak quarter at +234% vs Q2 2023
DoubleVerify 2025 Global Insights ReportIAS 20th Edition: fraud rates on campaigns without anti-fraud verification rose 19% YoY
IAS Media Quality Report, 20th EditionNot all invalid traffic is created equal. The MRC's Invalid Traffic Detection and Filtration Standards split IVT into two categories — and the distinction matters because most basic platform-level fraud filters catch only the first tier.
General Invalid Traffic (GIVT) is non-human traffic that is easy to identify: known crawlers, AI scrapers, data-center bots, and obvious behavioral anomalies. Routine list-based filtration catches it.
Sophisticated Invalid Traffic (SIVT) is the harder problem — bots and schemes that actively mimic human cursor jitter, scroll dwell, and click cadence to evade detection. According to IAS, over 90% of fraud comes from SIVT, including hijacked devices, hijacked tags, adware, and malware-controlled hidden browsers.
Sophisticated Invalid Traffic dominates total fraud volume
IAS Media Quality Report, 20th EditionOf the 86% GIVT YoY spike, GPTBot, ClaudeBot, and AppleBot drove 16%
DoubleVerify 2025 Global Insights ReportBot fraud is not evenly distributed. The further inventory sits from a first-party publisher relationship, the worse the fraud rate gets. Three patterns repeat across measurement vendors: mobile apps are the single highest-IVT environment globally; Connected TV is structurally vulnerable through server-side ad insertion (SSAI); and open-exchange display consistently underperforms private marketplace and direct deals.
~4 million infected devices generate fake CTV traffic daily
DoubleVerify 2025 — Bot Fraud in CTVIndustry CPM estimation for one bot strain — DV uncovered 50+ in 2025
DoubleVerify 2025 — Bot Fraud in CTV| Environment | Q3 2025 Global IVT Rate | Notes |
|---|---|---|
| Mobile apps | 33% | Highest of the three environments. United States: 24% mobile-app IVT (Pixalate Q3 2025 NA). |
| Web (desktop + mobile web) | 21% | Lower than mobile apps but still roughly 1 in 5 impressions invalid. |
| Connected TV (CTV) | 19% | Bots account for 65% of all CTV fraud — 14 percentage points higher than other digital channels (DoubleVerify). |
The global averages hide enormous regional variance. Singapore's CTV IVT rate is more than double the global figure. Germany's CTV is nearly twice. Japan's web traffic is the cleanest of any major market Pixalate measures. The geographic pattern matters: programmatic advertisers buying in any of these markets at the global benchmark rate are mispricing their fraud exposure.
Highest mobile-app IVT in North America, Q3 2025
Pixalate Q3 2025 NA IVT & Ad Fraud BenchmarksHighest CTV IVT in EMEA, Q3 2025 — nearly 2× global average
Pixalate Q3 2025 EMEA IVT & Ad Fraud BenchmarksHighest CTV IVT in APAC; Singapore mobile apps also 41%
Pixalate Q3 2025 APAC IVT & Ad Fraud Benchmarks| Region / Country | Web IVT | Mobile-App IVT | CTV IVT |
|---|---|---|---|
| Global average | 21% | 33% | 19% |
| United States | — | 24% (highest in NA) | 18% (lowest in NA) |
| Germany | — | — | 37% (highest in EMEA) |
| Singapore | — | 41% | 43% (highest in APAC) |
| Japan | 13% (lowest in APAC) | — | — |
Beyond outright bot impressions, a structurally adjacent problem is Made for Advertising (MFA) inventory — sites and apps engineered specifically to harvest programmatic ad spend, often with low-quality or auto-refreshed content, heavy ad density, and minimal real audience. MFA is not technically “fraud” under the MRC standard, but it is structurally adjacent: advertiser dollars flowing to inventory that exists only to extract them.
Pixalate's Q3 2025 Global MFA Benchmarks Report for Websites flagged 18,273 websites as likely MFA in Q3 2025, capturing roughly 10% of global open programmatic web ad spend — about $716 million in a single quarter.
The bigger picture is the supply-chain leakage measured by ANA and PwC. The 2023 ANA Programmatic Media Supply Chain Transparency Study analyzed log-level data from 21 major advertisers and found that only $0.36 of every advertiser dollar reaches the consumer. Of the 71% reaching publishers, 35% is lost to media-quality issues including non-viewable impressions, IVT, and MFA. Transaction costs (DSP and SSP fees) absorb another 29%.
Of every dollar entering a DSP, only 36¢ reaches a consumer
ANA Programmatic Media Supply Chain Transparency Study (2023)Q3 2025 — ~$716M in a single quarter to MFA domains
Pixalate Q3 2025 Global MFA Benchmarks Report (Websites)Roughly 22% of $382B global digital ad spend
Juniper Research — Quantifying the Cost of Ad FraudRoughly 23% of projected $747B global digital ad spend
Juniper Research — Cost of Ad Fraud 2023–2028Two structural forces are pushing IVT rates up rather than down. First, AI training and retrieval bots — GPTBot, ClaudeBot, AppleBot, PerplexityBot, and similar — now crawl ad-bearing pages at a scale that did not exist three years ago. They are not malicious in intent, but under the MRC standard they qualify as GIVT, and any ad rendered to one of them is, by definition, invalid. DoubleVerify attributed 16 percentage points of its 86% GIVT spike directly to bots linked to legitimate AI tools.
Second, the programmatic auction surface itself is the vulnerability. Every bid request is a public invitation: a published URL, a slot ID, a user signal. Sophisticated Invalid Traffic operators read those signals, simulate the corresponding human, and submit billable impressions back into the same auction. The auction is incentivized to fill — every refused impression is foregone revenue for the platform — so filters are tuned to a tolerance, not to zero.
The 2018 takedown of the 3ve botnet (coordinated by Google, White Ops/HUMAN Security, and the FBI) disclosed 1.7 million infected devices and over $29 million in fraudulent ad revenue. The earlier Methbot scheme generated $3–5 million per day at its peak by impersonating premium publishers like ESPN and CBS Sports. Those specific operations were dismantled. The pattern that produced them is the auction itself, and the auction is still running.
Bot fraud exists because the advertiser pays for an inferred event — an impression — generated upstream by infrastructure the advertiser does not control. Every layer between the advertiser and the human is an opportunity for fraud to be inserted and billed.
WilDi Maps replaces the impression-and-auction model with Cost Per Verified Delivery (CPVD) — pricing from $0.20 (background) — tunnels and zones priced for hyper-local precision. WilDi has three tiers: a tunnel is a 1-mile road strip for hyper-local premium targeting; a zone is a 1-square-mile premium area; and a background is the city-wide $0.20 flat tier. When a delivery is claimed, the driver is routed to direct-drive, a website link, or an in-app page — no impression auction in the loop.
The product
WilDi Maps is not a single flat-rate product. You pick the tier that matches how local you need to be. All three are GPS-verified per claim — no auction, no exchange rake, no Middleman Tax.
1-mile road strip
Premium
Hyper-local, just-in-time
Lease a one-mile stretch. When a driver enters the strip, they get a just-in-time message — perfect for emergency services, on-route specials, and anything where being right there now beats brand awareness later.
Best for
1-square-mile area
Premium
Hyper-local, area-based
Lease a one-square-mile block — not tied to a single road. Catches the residential cluster, retail district, or industrial park where your work actually lives. Same just-in-time delivery as tunnels; different geometry.
Best for
City-wide rotation
$0.20
per claim, fixed
City-wide brand presence on rotation. Highest reach for the budget — best when familiarity beats precision. The $0.20 fixed rate is the only flat-rate tier WilDi sells.
Best for
What the driver gets when an ad is claimed
If the driver wants to act on the ad, the app navigates them straight to the advertiser's location.
Click-through to any URL — ordering page, brand site, blog post, lead form.
Open a specific page inside the WilDi app — promo details, daily specials, claim instructions.
See the full pricing breakdown on the pricing page.
Pixalate's Q3 2025 Global Invalid Traffic Benchmarks reported a 21% IVT rate on web, 33% in mobile apps, and 19% in Connected TV — meaning roughly one in three mobile-app impressions globally is non-human. DoubleVerify's 2025 Global Insights Report measured an 86% year-over-year spike in general invalid traffic in the second half of 2024, with U.S. bot fraud up 106%. Rates vary by environment, geography, and whether anti-fraud verification is running on the campaign.
Yes. DoubleVerify's 2025 report measured an 86% YoY spike in general invalid traffic in 2H 2024 globally, with North America up 101% and the U.S. specifically up 106%. The Q4 2024 quarterly peak was up 234% versus Q2 2023 — driven largely by mobile-app video ads. Two structural forces are responsible: AI scraper bots (GPTBot, ClaudeBot, AppleBot) crawling at unprecedented scale, and continued sophistication of SIVT operators that mimic human behavior to evade auction-time filtration. IAS measured a 19% YoY rise in fraud rates on campaigns running without anti-fraud verification.
Mobile apps lead the global IVT rankings at 33% (Pixalate Q3 2025), more than 1.5× the web rate. Connected TV is the channel with the highest concentration of bot-driven fraud specifically — DoubleVerify found that bots account for 65% of all CTV fraud, with roughly 4 million infected devices generating fake traffic daily. Server-side ad insertion (SSAI) is the structural weak point in CTV, allowing impressions to be fabricated upstream of any device-side measurement.
GIVT — General Invalid Traffic — is the MRC's classification for non-human traffic that is easy to identify through routine list-based and rules-based filtration. It includes search-engine crawlers, AI scrapers (GPTBot, ClaudeBot, AppleBot), data-center bots, and any traffic with obviously non-human behavior such as switching pages every few seconds for hours. GIVT is the “easy” tier — most ad-tech filters catch it. DoubleVerify reported an 86% YoY spike in GIVT in 2H 2024.
SIVT — Sophisticated Invalid Traffic — is the MRC's classification for bots and schemes that actively mimic human behavior (cursor jitter, scroll dwell, click cadence) and require advanced analytics, multi-point corroboration, and human investigation to detect. Examples include hijacked devices running hidden browsers, ad-stacking, pixel-stuffing, domain spoofing, SDK spoofing in mobile apps, and SSAI abuse in CTV. According to IAS, over 90% of total ad fraud is SIVT — meaning the hard tier dominates the volume.
The 2023 ANA Programmatic Media Supply Chain Transparency Study, which analyzed log-level data from 21 major advertisers, found that only $0.36 of every dollar entering a DSP reaches the consumer as working media. Of the 71% of advertiser spend that reaches publishers, 35% is lost to non-viewable impressions, IVT, and Made for Advertising (MFA) inventory. Transaction costs — DSP and SSP fees — absorb another 29%. ANA estimated that closing those gaps would unlock roughly $22 billion in efficiency.
Under the MRC's IVT standard, yes. AI scrapers are not malicious in intent — they index the web for AI training and retrieval — but they are non-human, and any ad impression rendered to one of them is invalid by definition. DoubleVerify's 2025 report attributed 16 percentage points of its 86% GIVT YoY spike directly to bots linked to legitimate AI tools (GPTBot, ClaudeBot, AppleBot, and similar). Whether the advertiser was billed for that impression depends on the ad-tech stack's GIVT filtering, not the definitional question.
No — and not because the WilDi Maps team is more diligent than DoubleVerify, but because the architecture removes the surface area entirely. CPVD bills only when a known driver account, on a known device, with GPS coordinates falling inside a leased tunnel, zone, or background corridor at the moment of delivery, generates a delivery event written by infrastructure WilDi controls end-to-end. There is no public bid request to attack, no SDK reselling location to a third party, no impression auction to enter. Bot fraud thrives on the auction's information asymmetry. CPVD does not run an auction.
About this analysis
Written by Timm Ross, founder of WilDi Maps · Jacksonville-based · Veteran-owned. Sources are cited inline; we update the numbers when the underlying research updates.
More about WilDi MapsFixed $0.20 per GPS-verified delivery. No auction, no bid stream, no Middleman Tax.
