Check context before blocking categories: Review category definitions and examples from your inventory source; Test clear matches, borderline cases, and content to retain for brand fit; Verify timing, coverage, and platform-specific rule application
Image: Programmatic Ad Guide

Inventory Quality

Part of Programmatic brand suitability

Reviewing contextual classifications before blocking categories

Check category definitions, representative content, classification scope and timing before applying a contextual block.

Before blocking a contextual category, read its definition and review examples from the inventory you plan to buy. A category name alone cannot show whether labelled content conflicts with the brand's requirement. Review clear matches, borderline cases and content the campaign should retain before deciding whether the control is precise enough.

Key Considerations Before Blocking a Contextual Category

Category Definition
Must be reviewed before blocking; name alone is not sufficient
Scope of Classification
Applies to page, domain, app, or video metadata — verify exact scope
Timing of Changes
Check how quickly a block takes effect post-activation

Identify the classification

A content taxonomy, a platform contextual category and a brand-safety label serve different purposes. The IAB Tech Lab Content Taxonomy provides terms for describing content. Other controls may be platform-specific, so check their names and definitions separately. Record the provider, exact category, definition, date or version where available, and level of application.

Check what is classified. A signal may describe a page, domain, app or video metadata.

Contextual Classification Types: IAB vs Platform-Specific

IAB Tech Lab Content Taxonomy
Standardised terms for describing content; used across platforms
Platform Contextual Category
Provider-specific classification (e.g. Google Display & Video 360)
Brand-Safety Label
Custom or third-party labels applied for brand risk mitigation

Review examples against the brand rule

Build a small review set with:

Clear matches:
content the written policy excludes.
Borderline cases:
reporting, education or discussion on the same topic that might remain acceptable.
Clear non-matches:
content the campaign expects to retain.
Unknowns:
inventory whose context cannot be assessed from available information.

For each example, record the observed content, proposed classification, policy decision and reason for disagreement. A hypothetical health campaign might reject distressing procedure imagery but accept straightforward health advice. A broad Health category may be too coarse for that requirement. Check the definition of any narrower category before relying on it.

A small review can reveal a poor fit, but it cannot establish a platform-wide false-positive rate. Also check whether the narrower category you want can actually be excluded.

Check timing and coverage

Timing and coverage can vary by provider and rule. Ask how quickly a category change can take effect and what content the control covers before relying on it.

After activation, inspect delivered placements and any available reporting that explains why requests were filtered. If eligible supply appears to fall, check which rule contributed before changing it. Keep the examples and decision record so the category can be reviewed again if the campaign or platform definition changes.

More from Inventory Quality