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.
Three Lessons from Lemkin's 20VC Recap That Every B2B Growth Leader Should Pressure-Test
Lemkin's 20VC recap surfaces three urgent lessons for B2B growth leaders: AI agent access risks, the blame test in enterprise deals, and why serial price hikes are a countdown.
94% of B2B Buyers Use AI to Vet Vendors. Adobe Rebuilt Its Operating Model to Keep Up.
Forrester data shows 94% of B2B buyers use AI answer engines to vet vendors. Adobe rebuilt its operating model in response — here's what demand gen teams can learn.
Your Stack Has 6 Tools and Zero Cross-Tool Metrics. MCP Servers Won't Fix That Alone.
Single-platform MCP servers fetch data but can't compute cross-tool metrics like blended ROAS or marketing-sourced pipeline. Here's what actually works.
AEO Doesn't Fail on Content. It Fails on Workflow.
AEO failures in B2B SaaS rarely stem from bad content — they stem from missing cross-functional workflows, refresh cadences, and AI-native measurement.
Your Pricing Page Wasn't Built for the Buyer That Never Sleeps
AI agents abandon vendor pricing pages they can't parse, pulling inaccurate data from third parties instead. Here's why that's a growing revenue leak for B2B SaaS.
Google's AI Search Opt-Out Is Here. The Math on Using It Isn't Simple.
Google's new AI search opt-out protects content from AI Overviews, but handing citations to competitors carries its own cost — here's how to model the trade-off.
Your pricing page has a new visitor — and it can't parse JavaScript
AI buying agents fail to retrieve pricing from 30% of B2B software sites, turning opaque pricing pages into a pipeline and revenue problem.
When Your Attribution Data Lies to You: What LaunchDarkly's Metadata Fix Reveals About B2B Marketing's Dirty Secret
Here's a confession that will resonate with every demand gen leader: you've probably made at least one budget decision this quarter based on garbage data. LaunchDarkly's case study reveals what happens when a sophisticated marketing team finally confronts the uncomfortable truth about UTM parameters, and the infrastructure fix that made attribution trustworthy again.
OpenAI's Business Agent Ads: The Post-Click Model Gets a Rewrite
OpenAI is testing ads that skip your landing page entirely and drop users into AI agent conversations instead. The attribution math breaks, the measurement layer doesn't exist yet, and nobody can prove it works, but the structural shift to post-click pipeline is worth understanding before you dismiss it.