What is Consent Mode v2?
Consent Mode v2 is Google's privacy-centred measurement framework, released in 2024 as an evolution of the original Consent Mode. It allows advertisers to collect and process user data based on explicit consent signals, while still enabling meaningful campaign measurement and optimisation even when users deny consent.
The framework operates through two types of consent: ad personalisation consent (whether users accept personalised ads) and analytics consent (whether users allow their data for measurement purposes). Google's conversion modelling then estimates conversions from non-consented users, preserving campaign insight without violating privacy regulations.
Why It Matters for UK Agencies
With GDPR, ePrivacy Regulations, and the deprecation of third-party cookies, UK-based media buyers face increasing complexity in tracking campaign performance. Consent Mode v2 bridges this gap – it allows you to:
- Run effective campaigns without blanket cookie tracking
- Maintain compliance with UK data protection standards
- Preserve conversion data through Google's modelling technology
- Optimise bidding strategies on platforms like Google Ads and DV360 with meaningful signals
For agencies managing budgets across multiple clients, this is essential infrastructure. Non-compliance risks regulatory action from the ICO (Information Commissioner's Office), while incomplete implementation loses campaign effectiveness.
Implementation Requirements
Consent Mode v2 requires integration of:
Consent Management Platform (CMP): Tools like OneTrust, Cookiebot, or TrustArc capture user consent choices and feed this data to Google through the Consent Mode API.
Google Tag Manager (GTM): Stores consent values and gates when Google tags fire, ensuring tags only send data when permitted.
Updated Conversion Tracking: Google Ads, GA4, and DV360 must be configured to receive consent signals and apply conversion modelling.
When to Use It
Consent Mode v2 applies across nearly all UK digital campaigns:
- Direct-to-consumer (D2C) e-commerce
- B2B lead generation
- Brand awareness campaigns requiring demographic/interest targeting
- Performance marketing where conversion tracking is critical
It's particularly valuable when cookie consent rates are low (common in the UK due to privacy-conscious behaviour), as modelling helps compensate for lost conversion visibility.
Key Challenges
Implementation complexity varies. Poorly configured CMPs or GTM can leave tags unfiring or send conflicting signals. Conversion modelling accuracy depends on volume – sites with lower traffic may see less reliable estimates. Testing and QA are essential before full rollout.