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 Analytics 4 Cross-Domain Tracking Not Working? Here Are the Fixes
Struggling with Google Analytics 4 cross-domain tracking? Discover common issues and practical solutions to ensure accurate user tracking. Here’s the decision: treat GA4 cross-domain tracking as a data-integrity problem, not a reporting problem. If the “same user” becomes two sessions the moment the
How to 3x Outbound Meetings Without Hiring: The Account-Intelligence Operating System
A practical 2026 playbook to increase outbound meetings without hiring by turning account intelligence signals into workflows, metrics, and guardrails.
Oracle’s Layoffs Aren’t an “AI Story.” They’re a GTM Decision-Quality Story.
Oracle’s layoffs signal a shift from funding GTM activity to funding decision quality; here’s a practical scorecard and 2-week pilot to run in 2026.
AI FOMO Is Real. The Fix Isn’t More Tools—it’s a Workflow With Guardrails.
AI adoption in advertising is high, but AI incidents are common; this piece shows a practical holdout workflow to turn AI FOMO into measured lift.
Becoming an AI-native operator: the one move most teams skip
A practical, measurable way to become AI-native in demand gen: put an agent into one workflow with a holdout, guardrails, and a clean readout.
The Shape of the Thing: Why AI’s Market Structure Should Change Your Demand Gen Measurement
A practical 2026 playbook to measure AI-driven demand gen with holdouts, proving incremental qualified pipeline instead of activity and attribution noise.
Reddit Isn’t a “Social Channel” Anymore. It’s a Search Surface B2B Teams Don’t Control.
A practical, data-backed playbook for using Reddit as a B2B content signal layer—without spamming communities—plus metrics, guardrails, and a 5-day sprint.
Perplexity Computer: The Practical Test for AI “Digital Workers” in 2026
Perplexity Computer shifts genAI from chat to long-running workflows; here’s how to pilot it with a holdout, metrics, guardrails, and stop-loss.
Agentish vs. Agentic in GTM: Choose Control Over Autonomy
A practical 2026 GTM framework for choosing agentish control over agentic autonomy, with guardrails, metrics, and a run-this-week rollout plan.