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Valid Impression Definition
The MRC defines a valid impression as one that is served to a real user in a viewable context, excluding known invalid traffic. This standard underpins billing across display, video, and mobile advertising.
Fraud Type Guide
MRC (Media Rating Council): The Standard Behind Ad Measurement
The MRC defines how the digital advertising industry measures impressions, viewability, and invalid traffic. Understanding its role is essential for anyone fighting ad fraud.
What Is the MRC?
Quick answer: The Media Rating Council is the US industry body that sets standards for digital media measurement, including the definitions of valid impressions, viewability thresholds, and invalid traffic categories.
The Media Rating Council (MRC) is an independent, non-profit organisation established in the 1960s to ensure that audience measurement services are valid, reliable, and effective. Originally created to oversee broadcast ratings, the MRC now plays a central role in digital advertising by setting the standards that define how impressions, clicks, and viewability are counted.
For the ad fraud prevention industry, the MRC is particularly important because it created the Invalid Traffic (IVT) detection and filtration guidelines that the entire ecosystem relies on. These guidelines establish the taxonomy of invalid traffic — dividing it into General Invalid Traffic (GIVT) and Sophisticated Invalid Traffic (SIVT) — and set the bar for what constitutes credible detection.
Key MRC Standards for Digital Advertising
The MRC publishes and maintains several foundational guidelines that shape how the industry operates.
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Viewability Thresholds
For display ads, at least 50% of pixels must be in view for one continuous second. For video, 50% of pixels must be in view for two continuous seconds. These thresholds determine whether an impression is billable.
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IVT Detection Guidelines
The MRC’s IVT guidelines define GIVT (known bots, crawlers, data-centre traffic) and SIVT (sophisticated fraud requiring advanced detection) as two distinct categories with different filtration requirements.
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Accreditation Programme
Vendors that measure impressions, viewability, or invalid traffic can apply for MRC accreditation, which involves a rigorous independent audit of their methodology, data collection, and reporting processes.
GIVT vs. SIVT: The MRC’s IVT Taxonomy
The MRC’s most impactful contribution to ad fraud prevention is the distinction between General Invalid Traffic and Sophisticated Invalid Traffic. This taxonomy shapes how every detection vendor — including Opticks — classifies and reports fraudulent activity.
General Invalid Traffic (GIVT)
Includes traffic that can be identified through routine, list-based methods: known bot user-agents (e.g., Googlebot), data-centre IP ranges, pre-fetch and browser pre-rendering activity, and activity from known non-browser user agents. GIVT filtration is considered table stakes — any credible measurement vendor should catch it.
Sophisticated Invalid Traffic (SIVT)
Requires advanced analytics and multi-point data analysis to detect. This category includes hijacked devices, adware, malware-driven traffic, cookie stuffing, domain spoofing, human fraud farms, and bots that mimic human behaviour. SIVT detection is where specialised tools like Opticks deliver the most value.
Why the MRC Matters for Advertisers
Even if you never interact with the MRC directly, its standards influence every aspect of your digital advertising.
Billing Accuracy
MRC standards determine which impressions are billable and which should be filtered out. When your ad platform follows MRC guidelines, you are less likely to pay for invalid traffic.
Vendor Evaluation
MRC accreditation provides a baseline for evaluating measurement and verification vendors. It signals that a vendor’s methodology has been independently validated.
Industry Alignment
When advertisers, publishers, and ad networks all reference MRC standards, there is a shared language for discussing traffic quality, viewability, and fraud — reducing disputes and improving transparency.
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