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.
Don’t trust the dashboard: a 5-question QA for AI analytics
A practical 5-question audit marketing leaders can run in 10 minutes to validate AI-generated analytics, assumptions, and metric provenance before decisions.
If you build a CRM with Claude, start with audit logs
A practical audit-first checklist for DIY CRMs: prove changes, execute GDPR erasure within ~30 days, and protect deliverability with SPF/DKIM/DMARC.
Make AI ads smarter by fixing one signal: conversion data
In 2026, AI ad automation amplifies tracking mistakes; this playbook shows how to harden one pipeline-quality conversion signal and test it safely.
A C+ for agent-ready APIs: the B2B bottleneck
An AI Agent API report card graded 144 B2B APIs at 71/100; here’s what it means for true agents and the one ops experiment to run now.
Snap’s unified attribution: one move to make iROAS believable
Snap’s 2026 Unified Attribution ties Snap optimization to MMP data, giving demand gen teams a practical path to validate iROAS beyond platform dashboards.
When 93% Account Reach Meets 100 Closed-Won Deals: What Total Expert's ABM Results Actually Tell Us
Most ABM programs die in the gap between impressive reach metrics and actual closed deals. Total Expert's case study bridges that gap with 93% account reach and 100 closed-won deals—here's the unglamorous framework that made it possible.
B2B Buyers Trust AI Less Than Marketers Think
While 75% of marketing leaders say AI is critical to their strategy, only 19% of consumers feel excited about it. This massive trust gap isn't just a perception problem—it's a revenue leak that's reshaping how B2B buyers make decisions.
Reporting to an AI VP marketing: the operating model that matters
AI is already mainstream in marketing; the advantage in 2026 is an operating model with clear human review gates, metrics, and guardrails.
AEO for B2B SaaS in 2026: one ops play to get cited
A practical 2026 AEO play for B2B SaaS: build a citation-ready answer library and measure AI mentions, guardrails, and pipeline impact directionally.