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The Fastest Way to Counter Ad Fraud & Grow Your Revenue

SpiderAF AI algorithms let you easily identify & block ad fraud from your campaign or network traffic, so you can protect your bottom line — and your reputation.

SpiderAF is your best bet for finding out campaign fraud
Quickly classify affiliate fraud with SpideRAF
AI and machine learning

Accurate detection with AI

Self-scoring AI detects ad fraud in your marketing campaign & suggests next steps.

Fraud trend analysis

Easy traffic review & management

Speed your workflow with our Dashboard when compared with Excel.

Easy classification

Quick Onboarding

Easily get up and running with our API integrations.

Quickly classify affiliate fraud with SpideRAF
AI and machine learning

Accurate detection with AI

Self-scoring AI detects ad fraud in your marketing campaign & suggests next steps.

Use AI to find patterns in campaign traffic
Fraud trend analysis

Easy traffic review & management

Speed your workflow with our Dashboard when compared with Excel.

Quickly add new users & get started
Easy classification

One-step Onboarding

We tailor SpiderAF for your business challenges and help you get set up.

Analyzed traffic in 2018*

566.9B

Impressions

27.7B

Ad clicks

59.5M

Paid conversions

*yearly period, Japan

Zucks testimonial

SpiderAF is great for interacting with publishers; it gives an explanation from an unbiased point of view and helps explain our decision when reviewing against fraud cases.

Zucks Affiliate(translated)

Read Interview
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More use cases

Built for Advertisers & Ad Networks

We tailor SpiderAF for your business challenges and help you get set up.

Advertisers

Protect your advertising budget from ad fraud and maximize your return on investment.

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Ad Networks

Enable bigger budgets from your clients, fight ad fraud better & focus on your business growth.

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Introducing Shared Blacklist

The first service of its kind in the world, Shared Blacklist allows for Ad Networks to cooperate with to better defend against more advanced forms of ad fraud.

Shared blacklist product preview