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.
B2B Marketing Automation: Fix Targeting Before Tools
Here's the uncomfortable truth most automation vendors won't tell you: 49% of marketers can't measure ROI from their automation. Not because the software is broken, but because they automated a targeting problem. Let me show you how to fix that before you waste another dollar.
Your Content Hasn't Caught Up to How People Actually Search Now
Google just dropped a year's worth of behavioral data, and it reads like a post-mortem for the keyword strategies most marketing teams finalized last summer. The search box just got a lot bigger, time to fill it with something worth citing.
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.
Half Your Daily AI Search Users Click Through. The Other Half? They're Not Who You Think.
Daily AI search users click through to sources at 3.5x the rate of casual users, and they're your actual buyers. While everyone panics about AI killing traffic, the data reveals something better: AI is sorting your audience, separating serious researchers from casual browsers.
How to Build Topical Authority in the AI Search Era (7 Steps)
Great Jones makes gorgeous Dutch ovens that Vogue and Bon Appétit love, yet ChatGPT won't recommend them. It's not a quality problem, it's a pattern problem, and it's why your B2B content strategy needs a complete overhaul for the AI search era.
Your Next AI Visitor Will Know Who Sent It
Forty-four percent of buyers now start their purchase journey in AI tools, but most marketing teams can't see this traffic in their attribution models. The infrastructure to identify AI-originated visitors is finally catching up, and the implications for pipeline forecasting are massive.
Why Great Content No Longer Works: The Attention Paradox Nobody Wants to Admit
Your best content from 2024 would have crushed it in 2019, but today it's drowning in algorithmic sameness. The uncomfortable truth? Everyone else's content got just good enough to make yours invisible, and the solution isn't better AI prompts, it's having the courage to be the one voice that actually gets it.
The AI SEO Strategy That Helped a SaaS Company Generate 302 Monthly Demos
When 51% of B2B buyers start their vendor research in AI chatbots instead of Google, traditional SEO isn't enough anymore. Here's how one SaaS company cracked the code on AI engine optimization and doubled their monthly demos.
From Content Factory to Media Operation: A Maturity Model for 2026
Most B2B marketing teams are stuck running content factories, producing 47 assets per month while nobody can trace which ones actually move pipeline. The dirty secret? We've gotten really good at making stuff and terrible at asking whether we should.