DataWorks
B2B Marketing Data, Attribution & Analytics
Without visibility, you're flying blind. Without correlation, you're guessing.
Most marketing teams are rich in dashboards and poor in answers. DataWorks covers attribution, measurement infrastructure, and the intelligence layer that makes every other marketing investment legible.
Without visibility you are flying blind; without correlation you are guessing — this section is about replacing both with evidence.
Google's AI Licensing Pilot: What the Math Actually Means for B2B Content Strategy
Google's quietly paying publishers when content 'significantly contributes' to AI answers, but appearing in citations doesn't mean you're getting paid. The distinction between infrastructure and decoration is about to reshape every B2B content strategy.
Google's New AI Spam Detection: What B2B Marketers Need to Model Now
Your content team just shipped 40 blog posts this quarter, and Google just published a research paper on catching AI-generated spam at scale. Before your CFO asks whether those posts are assets or liabilities, here's the detection logic you need to understand, and the audit framework to run before your next pipeline review.
Google Just Bought You Five More Months on DSA. Here's How to Spend Them.
Google pushed the DSA migration deadline to February 2027, but this isn't a reprieve, it's a runway extension. Here's the phased testing framework you need to migrate on your terms instead of scrambling when the deadline hits.
Your Summer Reading List Won't Save You (But These 5 Books Might Help)
Google's biggest search redesign in 25 years is already hitting your traffic dashboards, and most marketing leaders are treating it like a technical problem their team "handles." Here's why understanding the corporate chaos behind these changes matters more than any tactical SEO adjustment.
Google Gives Sites AI Search Opt-Out, But Not The Data To Use It
Google just gave publishers an AI search opt-out toggle, but without the click data needed to make an informed decision. You get impressions, not the one metric that matters for forecasting revenue, like jumping with a parachute but no altimeter.
Google's New AI Search Reports: What the Data Gap Means for Your Pipeline
Google's new AI Search reports show impressions but hide the clicks, leaving B2B marketers with visibility data they can't connect to pipeline. Here's how to build measurement frameworks that work despite the data gaps.
Google's CEO Just Admitted What Everyone Suspected About Agentic Coding
When Google's CEO admits they're "a bit behind" on agentic coding despite having 75% AI-generated internal code, it's not just tech news—it's a masterclass in how even giants can miss critical feedback loops. Here's what marketers need to know about the data flywheel Google didn't have.
Google's Agentic Shopping Bet: What the GML 2026 Announcements Mean for Your Pipeline
While OpenAI retreats from native checkout after disappointing merchant results, Google doubles down with expanded Universal Commerce Protocol integration across Search, YouTube, and Maps. The question isn't whether agentic commerce will matter—it's whether your pipeline models are ready for a $190-385 billion shift in how customers discover and buy.
Google's Product Feed Strategy Points to the Future of Retail Discovery – And Most Marketing Teams Are Measuring It Wrong
Google's treating product feeds as infrastructure, not just Shopping campaign inputs – and most marketing teams are still measuring success with 2019 scorecards. The companies that get this shift are capturing visibility across AI search, YouTube, and visual discovery while competitors focus on single-campaign ROAS.