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.
When Marketing Becomes a Growth Engine, the CFO Stops Asking 'What Did We Get?'
The median B2B SaaS company takes 16 months to recover customer acquisition costs. Top-quartile operators do it in six. That 10-month gap isn't a marketing problem, it's a structural one that determines whether your next board meeting is a budget defense or a growth conversation.
Privacy-First Marketing: Roadmap to First-Party Data & Consent
Ninety-three percent of marketers say first-party data is critical, yet only 6% have actually embedded it into their workflows. That gap isn't a strategy problem, it's a measurement infrastructure problem that's costing you pipeline and making your CFO very uncomfortable.
How to Build a DTC First-Party Data Ad Engine That Scales Past $65M
Most DTC brands hit a wall between $20M and $50M because their tracking infrastructure is bleeding 30-40% of conversion signals. Here's the three-layer architecture that recovers that data and makes every acquisition dollar work harder.
The Cross-Platform Measurement Problem Nobody Wants to Solve
You're staring at three dashboards and each platform is taking credit for revenue that doesn't mathematically exist. Welcome to the measurement problem that keeps B2B marketers up at night, and here's how to actually fix it.
The Growth Playbook Nobody Wants to Hear: Why Your SaaS Strategy Is Probably Backwards
Most SaaS companies are burning $2 in sales and marketing for every $1 of new ARR while AI-native competitors like Cursor hit $2B ARR with just 30 employees. The growth playbook has fundamentally changed, and if you're still running 2019 strategies, you're already losing.
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.
One Marketer, 80 Demos a Month: The Aline Playbook That's Breaking B2B Norms
One marketer at Aline is booking 80-100 demos monthly with 30% MoM growth, no SDR army, no bloated stack. His ruthlessly simple playbook exposes how overcomplicated most B2B marketing has become.
Activating First-Party Data Across the B2B Journey
Eighty percent of B2B deals are won before first contact, yet most organizations can't activate their first-party data when it matters. Here's how to build the activation architecture that influences buying committees across 272-day journeys.
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.