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.
The 2026 “Data Recipe” Move: Stop Collecting Signals. Start Writing Them.
A practical 2026 playbook for building two-signal “data recipes” with overlap math, holdouts, and clear activation rules tied to qualified pipeline.
The 15-Minute Data Cleanup That Saves Your Campaign From 250 Broken Experiences
When 5% of your campaign data has formatting issues, that's 250 broken personalization experiences that could poison enterprise deals before your AE gets a meeting. Here's the 15-minute AI workflow that protects your pipeline yield without burning an afternoon on manual cleanup.
Google's Product Feed Strategy Points to the Future of Retail Discovery – And Most Marketing Teams Are Measuring It Wrong
Google's treating product feeds as infrastructure, not just Shopping campaign inputs – and most marketing teams are still measuring success with 2019 scorecards. The companies that get this shift are capturing visibility across AI search, YouTube, and visual discovery while competitors focus on single-campaign ROAS.
KnowFirst Review 2026: Australia's Largest B2B Business Database – What the Math Actually Says
If your pipeline depends on Australian accounts and you're still using ZoomInfo or Apollo for ANZ coverage, you're leaving conversations on the table. KnowFirst delivers ABN-verified company data that global databases can't match – but it's not a complete GTM solution.
Claude Dispatch and the Power of Interfaces: Why “AI That Clicks” Matters More Than Another Chat Window
Claude Dispatch shows why AI ROI in 2026 is increasingly interface-led: agents that can operate real tools, with guardrails, beat more chatbots.
The AI content funnel problem isn’t volume. It’s measurement.
A practical 2026 playbook to use AI for conversion-focused content funnel audits, measured with baselines, holdouts, and clear success metrics.
Martech for 2026 is a replacement year—so the report is ungated on purpose
A practical look at why 2026 is a martech replacement cycle and how to use holdouts and guardrails to renew tools based on incremental lift.
AI's Shortlist Is the New B2B Battleground – And Most of Us Aren't Even on It
Here's the uncomfortable truth: 51% of B2B buyers now start their research with AI chatbots instead of Google, and 96% of companies are invisible during AI-driven discovery. If you're not on the algorithm's shortlist, you're not competing – you simply don't exist.
Synthetic Research Is a Promise With a Catch – And the Catch Is Governance
The synthetic research market is exploding toward $4.6 billion by 2032, promising instant insights and compressed timelines. But speed without validation is just expensive guessing – and the governance frameworks to use these tools responsibly are what separate strategy from risk.