The Fort Worth Press - New Analysis Finds 64.9% of Ad Fraud Comes From Repeat Actors

USD -
AED 3.67295
AFN 65.999921
ALL 79.410374
AMD 364.59606
ANG 1.789783
AOA 918.000319
ARS 1511.791402
AUD 1.39563
AWG 1.7975
AZN 1.697862
BAM 1.677495
BBD 2.014693
BDT 123.090515
BGN 1.696366
BHD 0.376975
BIF 2992.5
BMD 1
BND 1.270966
BOB 11.517992
BRL 5.148102
BSD 1.000274
BTN 95.393377
BWP 13.392857
BYN 3.017793
BYR 19600
BZD 2.01181
CAD 1.38373
CDF 2278.50203
CHF 0.801498
CLF 0.023205
CLP 913.312179
CNY 6.72035
CNH 6.71746
COP 3094.5
CRC 453.82029
CUC 1
CUP 26.5
CVE 94.780378
CZK 20.627025
DJF 177.720012
DKK 6.402701
DOP 58.250185
DZD 133.010557
EGP 50.370397
ERN 15
ETB 160.501876
EUR 0.856498
FJD 2.19305
FKP 0.733696
GBP 0.73245
GEL 2.60505
GGP 0.733696
GHS 11.190122
GIP 0.733696
GMD 73.508288
GNF 8775.000182
GTQ 7.631774
GYD 209.274999
HKD 7.83872
HNL 26.879892
HRK 6.453697
HTG 130.858596
HUF 308.970453
IDR 17690
ILS 2.979103
IMP 0.733696
INR 94.990103
IQD 1310
IRR 1374600.000147
ISK 120.959758
JEP 0.733696
JMD 158.760791
JOD 0.708963
JPY 159.230161
KES 129.419706
KGS 87.450073
KHR 4042.501691
KMF 423.000556
KPW 900.000294
KRW 1378.509557
KWD 0.30856
KYD 0.833591
KZT 458.031701
LAK 22450.000013
LBP 89549.99985
LKR 328.555867
LRD 181.302876
LSL 16.039836
LTL 2.95274
LVL 0.604891
LYD 6.325039
MAD 9.2645
MDL 17.285062
MGA 4325.000284
MKD 52.766556
MMK 2099.770766
MNT 3596.537388
MOP 8.075854
MRU 40.099359
MUR 46.419937
MVR 15.459939
MWK 1736.999918
MXN 16.94746
MYR 4.041697
MZN 63.904954
NAD 16.039732
NGN 1347.269456
NIO 36.69797
NOK 9.31182
NPR 152.635123
NZD 1.67445
OMR 0.384502
PAB 1.00033
PEN 3.353497
PGK 4.416503
PHP 61.565002
PKR 277.625025
PLN 3.68565
PYG 5996.200377
QAR 3.644495
RON 4.501701
RSD 100.470259
RUB 83.700627
RWF 1470
SAR 3.758291
SBD 8.019375
SCR 13.777184
SDG 601.466847
SEK 9.457495
SGD 1.269603
SHP 0.740866
SLE 24.649948
SLL 20969.499227
SOS 571.493708
SRD 37.922008
STD 20697.981008
STN 21.35
SVC 8.752857
SYP 13001.999906
SZL 16.029759
THB 32.709911
TJS 9.222509
TMT 3.51
TND 2.888503
TOP 2.40776
TRY 48.097759
TTD 6.795725
TWD 31.847899
TZS 2649.997977
UAH 44.691549
UGX 3731.055245
UYU 40.209625
UZS 11824.999773
VES 783.68245
VND 26112
VUV 118.301391
WST 2.715944
XAF 562.604101
XAG 0.014566
XAU 0.000215
XCD 2.70255
XCG 1.802836
XDR 0.707052
XOF 564.99953
XPF 102.596556
YER 237.10654
ZAR 15.943403
ZMK 9001.198164
ZMW 19.050274
ZWL 321.999592
  • CMSC

    0.1120

    21.34

    +0.52%

  • BCC

    -1.2000

    81.04

    -1.48%

  • NGG

    0.7500

    81.17

    +0.92%

  • RBGPF

    1.3300

    69.89

    +1.9%

  • GSK

    0.2900

    52.07

    +0.56%

  • RIO

    2.0100

    106.81

    +1.88%

  • AZN

    2.9500

    169.66

    +1.74%

  • BP

    -0.8800

    42.86

    -2.05%

  • BTI

    -0.2400

    56.47

    -0.43%

  • CMSD

    0.2000

    21.26

    +0.94%

  • BCE

    -0.2600

    23.59

    -1.1%

  • RYCEF

    0.5500

    20.8

    +2.64%

  • JRI

    0.1100

    12.48

    +0.88%

  • RELX

    -0.5100

    35.88

    -1.42%

  • VOD

    0.1500

    16.13

    +0.93%

New Analysis Finds 64.9% of Ad Fraud Comes From Repeat Actors
New Analysis Finds 64.9% of Ad Fraud Comes From Repeat Actors

New Analysis Finds 64.9% of Ad Fraud Comes From Repeat Actors

New data points to persistent fraud sources alongside record ad-level enforcement.

Text size:

TOKYO, JP / ACCESS Newswire / April 30, 2026 / Spider Labs Inc., developer of the Spider AF marketing security platform, today released new analysis showing that 64.9% of invalid traffic (IVT) originates from repeat actors. The findings highlight a growing structural challenge in digital advertising: persistent fraud sources operating alongside increased enforcement at the ad level.

The analysis is based on aggregated ad traffic data collected between January 1, 2025, and April 16, 2026, across major global ad networks, including Google Search, Google Display, Google Performance Max, Yahoo Search, Yahoo Display, TikTok, Instagram, LINE, and Criteo.

Following Google's 2025 Ads Safety Report, which cited a record 8.3 billion ads blocked, Spider AF analyzed aggregated traffic data from its platform to identify additional patterns. The results point to actor-level persistence as a distinct and complementary issue not fully addressed by ad-level enforcement.

Key findings:

  • 64.9% of IVT came from repeat actors (147 million of 226 million invalid clicks analyzed)

  • IVT rates rose from 3.2% in January 2025 to 7.2% in April 2026, a 2.3× increase over 16 months

  • Monthly IVT from repeat actors grew 2.93× year over year, from ~5.0 million to 14.8 million clicks

  • Daily IVT volume more than doubled during the analysis period

  • Fraud patterns are increasingly behavioral, designed to mimic legitimate user activity over time

As platforms expand AI-driven enforcement-primarily focused on identifying and removing policy-violating ads-the data suggests that persistent fraudulent actors remain an unresolved risk. Beyond direct financial loss, sustained invalid traffic can influence how AI systems optimize campaigns. Fraud-generated behavioral signals may affect bidding and targeting without triggering traditional detection thresholds.

Spider AF refers to this effect as "invalid learning," where AI systems optimize based on contaminated data inputs.

Applied to total US digital ad revenue of $294.6 billion in 2025 (IAB/PwC), Spider AF's average observed fraud rate of 4.81% suggests that approximately $14.2 billion in ad spend was exposed to fraud.

The findings also align with broader industry trends, including the growth of Made-for-Advertising (MFA) sites. According to the Spider AF 2026 Ad Fraud Report, MFA placements increased 14× year over year, with a significant share of losses concentrated in AI-optimized campaigns.

"The industry has made measurable progress in blocking bad ads, but blocking ads is not the same as stopping the actors behind them," said Satoko Ohtsuki, CEO of Spider Labs Inc. "As long as those actors remain active, they continue to introduce risk into the ecosystem."

Methodology
The analysis covers aggregated traffic data from Spider AF clients across the listed ad networks between January 1, 2025, and April 16, 2026. "Repeat actors" were identified using IP address, device fingerprinting, and behavioral pattern analysis over time. The US loss estimate applies Spider AF's 2025 average ad fraud rate of 4.81% (Spider AF 2026 Ad Fraud Report) to total US digital ad revenue of $294.6 billion (IAB/PwC Internet Advertising Revenue Report, Full Year 2025).

Note to Editors: Data visualizations, including IVT trends (Jan 2025-Apr 2026), repeat actor breakdowns, and MFA growth charts, are available upon request.

For more information, visit: https://spideraf.com/about-us

About Spider Labs Inc.
Spider Labs Inc. is a marketing security company that develops Spider AF, a SaaS platform that detects and blocks threats across the marketing funnel, including ad fraud, fake leads, and website vulnerabilities. Founded in 2011, the company helps businesses protect performance, improve data accuracy, and maximize ROI.

Media Contact
M. Tison
Global PR, Spider Labs Inc.
[email protected]

SOURCE: Spider Labs, Inc.



View the original press release on ACCESS Newswire

P.Grant--TFWP