Top 10 Types of Ad Fraud Eating Your Media Budget in 2026

Ad fraud isn’t one thing; it’s a toolkit. Here are the ten techniques draining budgets in 2026, from crude to highly sophisticated.

1. Bot networks

Armies of automated agents generate impressions and clicks at scale. With bots now 37% of web traffic (Imperva), this is the fraud most likely to be in your campaign right now.

2. Click farms

Rooms of low-paid workers (or racked phones) produce “human” clicks that defeat simple bot filters but never convert.

3. Device spoofing

Fraudsters disguise cheap or fake devices as premium ones to command higher ad prices.

4. Domain spoofing

Low-quality inventory is misrepresented as a premium publisher, so you pay top rates for junk placements.

5. SDK spoofing

Fake in-app signals fabricate installs and events that never happened, draining app-install budgets.

6. Ad stacking

Multiple ads are layered in a single slot; only the top one is visible, but every advertiser is billed.

7. Pixel stuffing

Ads are crammed into 1×1 pixel frames — served and billed, but impossible to see.

8. MFA arbitrage

Made-for-advertising sites buy cheap traffic and resell your impressions at a markup; at peak they took 15% of programmatic spend (ANA).

9. CTV fraud

Fake or spoofed connected-TV devices; bots drive 65% of all CTV fraud (DoubleVerify), and it’s the fastest-growing channel for it.

10. Retargeting fraud

Bots deliberately trigger retargeting pools so fraudsters harvest your highest-value, highest-CPM ads.

How do you stop all ten?

Most of these are designed to pass the standard, list-based checks. Stopping them means verifying real human delivery before the impression is bought — not reconciling the damage afterwards.

No single tool catches all ten. Blocklists handle the crude techniques near the top of this list; the sophisticated ones — device and domain spoofing, MFA arbitrage, CTV and retargeting fraud — are built specifically to slip past anything list-based. The only defence that scales across the whole toolkit is to verify a real human, on a real and correctly-targeted device, before the impression is ever bought.