Invalid Traffic Rate (IVT Rate)

IVT Rate is the percentage of total ad impressions that a measurement system identifies as invalid traffic — activity that does not represent a genuine human user. The Media Rating Council (MRC) splits invalid traffic into two tiers:

• GIVT (General Invalid Traffic): Bots, spiders, crawlers, pre-fetch, and other automated activity that can be detected through routine list-based or pattern-based methods.
• SIVT (Sophisticated Invalid Traffic): Fraudulent traffic that deliberately mimics human behavior — click farms, device hijacking, ad stacking, and other techniques designed to evade standard detection.

Most accredited measurement vendors filter GIVT automatically and apply additional techniques for SIVT. Google’s Active View, for example, notes that it filters GIVT and some SIVT methods as part of its MRC-accredited measurement.

So what? A platform that reports a low IVT Rate may still be passing SIVT through to buyers. Always check whether the rate covers only GIVT or both tiers.

IVT Rate = (Invalid Impressions / Total Measured Impressions) × 100

Where:

• Invalid Impressions = impressions flagged as GIVT + SIVT by the measurement system.
• Total Measured Impressions = all impressions that entered the measurement pipeline (including those later filtered).

Important caveats

1. Denominator matters. Some platforms report IVT Rate against all served impressions; others report against measured impressions (excluding unfilled or technical errors). Always confirm which base is used.
2. Detection lag. SIVT detection often happens post-auction, sometimes days later. A real-time dashboard may show a lower IVT Rate than a reconciled report.
3. Filtering vs. reporting. A platform that filters invalid traffic before counting impressions will report a lower IVT Rate than one that counts everything and then flags the invalid portion. Both approaches are valid — but they are not comparable.
4. Thresholds vary. The MRC does not mandate a single acceptable IVT Rate; it requires that vendors disclose their methodology. Industry benchmarks differ by channel (e.g., display vs. video vs. CTV).

A single IVT Rate number is nearly meaningless without context. The first question to ask: Is this pre-filter or post-filter?

• Pre-filter IVT Rate = share of all served impressions that were later flagged as invalid. This number will be higher and is useful for diagnosing supply quality.
• Post-filter IVT Rate = share of impressions that passed initial GIVT filtering but were later flagged (usually SIVT). This number should be very low — often below 1%.

What to pair it with

• Viewability (Viewability): A high viewability rate alongside a high IVT Rate may indicate that bots are generating viewable impressions — a red flag.
• CTR (CTR): Spikes in CTR with no corresponding conversion lift often correlate with click fraud (a form of SIVT).
• CPA (CPA): A sudden drop in CPA alongside rising IVT Rate suggests that invalid traffic is inflating conversion counts.

Easy mistake: Seeing a 0.2% IVT Rate and celebrating clean traffic — when the vendor only reports GIVT and the real SIVT rate is 3%. Always check the methodology note.

IVT Rate is not a lever you pull directly — it is an outcome of supply quality, detection sophistication, and campaign configuration. The following levers affect it:

Supply-side levers

• Blocklists and inclusion lists. Tightening domain or app lists reduces exposure to known low-quality sources. Over-blocking can reduce scale but usually lowers IVT Rate.
• ads.txt / app-ads.txt. Platforms that enforce authorized digital sellers see fewer spoofed domains, which reduces SIVT.
• Sellers.json and SupplyChain. Transparency in the reselling chain helps platforms identify and exclude intermediaries that may introduce invalid traffic.

Detection-side levers

• Vendor selection. Not all measurement vendors detect SIVT equally. Upgrading to a vendor with stronger SIVT detection will increase the reported IVT Rate (because more invalid traffic is caught), even though actual traffic quality hasn’t changed.
• Threshold tuning. Some platforms let you set a minimum IVT Rate threshold for excluding placements. Lowering the threshold catches more fraud but may also exclude legitimate long-tail inventory.

Campaign-side levers

• Geo-targeting. Traffic from certain regions is associated with higher IVT rates. Narrowing geo-targets can reduce the rate.
• Device and OS filtering. Older operating systems and certain device models are disproportionately used in botnets. Excluding them may lower IVT Rate.

Tradeoffs

When you should NOT chase this metric: If you optimize for the lowest possible IVT Rate by over-blocking, you may exclude valuable, high-viewability inventory that happens to have a small amount of background bot traffic. The goal is not zero — it is acceptable and transparent IVT. A platform that reports 0.0% IVT Rate is likely filtering so aggressively that it is hiding real traffic quality issues.

IVT Rate is a hygiene metric, not a performance metric. A low rate is necessary but not sufficient for campaign quality. The real value comes from understanding what kind of invalid traffic is being caught, and whether the rate is consistent across segments.

• Always confirm whether the reported rate includes SIVT or only GIVT.
• Segment by publisher, device, and geo to surface hidden problems.
• Don’t optimize for zero — optimize for transparency and acceptable levels given your risk tolerance.