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.
ChatGPT ads are here. Most teams should start with AEO
ChatGPT ads are in beta with high costs and limited measurement; this piece shows a practical AEO test loop to capture AI-driven demand in 2026.
Do AI Mode ads drive conversions or just awareness?
AI Mode ads can drive conversions, but only incrementality tests with CRM validation can prove whether they add pipeline or just shift attribution.
Pain-led GTM when buyers avoid sellers: the one experiment
A practical pain-led GTM experiment to turn buyer signals into buying-group messaging, improve qualified pipeline, and reduce stalls in 2026.
LinkedIn conversion tracking in 2026: one setup that holds up
Set up LinkedIn conversion tracking in 2026 with Insight Tag + Conversions API, CRM offline events, clear windows, and pipeline-first metrics.
Zero-click survival in 2026: five features that still win
Five site features predict survival in 2026 zero-click search, plus an operator-ready play to earn AI visibility and still capture high-intent clicks.
Questions to Ask AI About Your Marketing Data (HubSpot, GA4, Google Ads)
Questions to Ask AI About Your Marketing Data (HubSpot, GA4, Google Ads)
Live Session Recap: How to Prove Marketing Works to Skeptical B2B SaaS Execs - KlientBoost
Live Session Recap: How to Prove Marketing Works to Skeptical B2B SaaS Execs - KlientBoost
The importance of being positive in business and life
Explore the critical role of positivity in enhancing workplace productivity and building trust in B2B marketing.
AI ad ops that don’t break: Claude Code for thinking, n8n for control
A practical 2026 playbook for using Claude Code with n8n to generate, monitor, and log AI ad decisions with guardrails, metrics, and audit trails.