Browsing: attribution

Attribution’s a tricky thing. It can help marketers make better decisions while simultaneously making their strategy worse. 

In early 2026, organizations began reporting Microsoft Teams intrusions involving credential theft and MFA bypass. Initial indicators pointed toward Chaos, a ransomware-as-a-service operation active since 2025, but the activity wasn’t linked to it.

Google’s expansion of native checkout for Shopify merchants turns agentic commerce into a practical ecommerce decision: whether to let the transaction finish inside an AI surface or keep checkout, measurement, and merchandising on the merchant’s own site.

That is where CRO gets complicated. A higher conversion rate tells you that something worked on the page. It does not tell you whether the traffic came from the right campaign, which earlier touchpoints influenced the conversion, or whether those new customers were actually worth acquiring.

MarTech Outlook’s February 2026 analysis argues AI attribution platforms are shifting from quarter-end credit reports to real-time engines that predict conversion and move budget. Three systems have to connect: CDP, CRM and marketing automation. For marketing operations leaders, that turns an attribution purchase into an integration and data-governance decision rather than a reporting upgrade.

Braze published an analysis on January 27, 2026 arguing that marketing attribution is losing reliability because journeys are fragmented, privacy limits observable signals, and identity breaks across devices. Braze’s remedy is first-party data, journey-level measurement and lift experiments. The gap shows up first in reports that credit “direct” for purchases shaped elsewhere.

Recommendations always hit better when they come from someone you trust, rather than a stranger.

Attribution models never measured the full buyer journey. Marketers have spent two digital decades asking the wrong question: Where did this lead come from?