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Latest Blog Posts

Consent Mode Conversion Loss: Why Tracking Breaks and How to Recover Attribution
A Google Ads account loses 90% of its measured conversions overnight. Campaigns are active. Clicks are arriving. The budget is spending. Nothing in the account structure changed. The root cause, discovered two days and significant diagnostic effort later: the consent banner was collecting user preferences correctly but never transmitting those preferences as Consent Mode signals to Google's tag infrastructure. Every EU user who accepted tracking was being processed as non-consenting by Google's systems. Forty percent of the attribution data was eventually recovered through behavioral modeling. The remaining 60% was gone permanently.
- Data Protection
- Privacy Governance
- Legal & News

Purpose Limitation Under GDPR: How to Enforce It and Prevent Purpose Creep
Your data engineering team built a customer analytics pipeline to measure product feature adoption. The marketing team discovered the pipeline. They started using the behavioral segmentation outputs to power retargeting campaigns. The product team started using individual-level session data to build churn prediction models. The sales team started using the engagement scores to prioritize outreach. None of these uses were disclosed to customers when the data was collected. None were covered by the privacy notice describing the analytics pipeline's purpose. All four teams were acting on a reasonable assumption: the data exists, it is useful, and nobody said they could not use it.
- Data Protection
- Privacy Governance
- Legal & News

California vs EU AI Regulations: What Global Companies Need to Know
A US-headquartered SaaS company deploys an AI-powered hiring tool to customers in Germany, France, and California. The tool screens job applicants, assigns scores, and surfaces a ranked shortlist for hiring managers. In the EU, this system is a high-risk AI application under Annex III of the EU AI Act, subject to technical documentation requirements, conformity assessment, registration in the EU AI database, continuous post-market monitoring, and human oversight controls — all of which must be in place by August 2, 2026, with the Digital Omnibus proposal potentially extending some obligations to late 2027. In California, the same tool is covered by three separate regulatory instruments: the CPPA's ADMT regulations requiring pre-use notices and opt-out rights, the CRC's employment automated-decision system regulations requiring anti-bias testing and four-year record retention, and potentially the CPPA's risk assessment requirements if it crosses the CCPA applicability threshold. There is no single point of reference that resolves all of these obligations simultaneously.
- Data Protection
- AI Governance