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.
Wiring Asset Studio Into Performance Max in 2026 Without Losing Per-Variant CPL: The Parallel Asset Group Split
Your CFO wants to know why CPL jumped 23% after adding Asset Studio variants to Performance Max. The problem isn't the AI-generated creative—it's that you lost per-variant cost visibility when everything got blended together. Here's how to structure parallel asset groups that preserve measurement while scaling creative velocity.
Reddit Ads Data in Redshift: The Pipeline That Actually Closes the Loop
Most marketing teams treat Reddit like a side experiment, but when you warehouse Reddit Ads data in Redshift, you unlock subreddit-level insights that reveal which communities actually care about your product. The connector exists, the schema is clean—the question is whether you're willing to close the loop.
May 2026 core update: a two-week SEO readout plan
A practical two-week readout plan for the May 2026 Google core update, separating ranking shifts from AI Search UI changes and GSC anomalies.
AI search ads aren’t keywords anymore: they’re answers
Google’s Gemini-powered Search ads push “ads as answers”; this playbook shows how to steer automation with better signals, guardrails, and measurement.
Unified measurement isn’t a dashboard project. It’s a decision system.
A practical 2026 playbook for unified measurement: align goals, govern metrics, and run one experiment that ties spend to qualified pipeline and revenue.
DemandScience Pricing Too Expensive? 7 Alternatives That Do More for Less in 2026
Your CFO just asked why you're spending six figures on DemandScience when it still requires three other tools to run campaigns. Here are seven alternatives that deliver better targeting, control, and ROI without the premium managed service markup.
Teads Data in Claude: What It Means for Your Media Mix Model
A 10-hour report built in 20 minutes—that's what happens when you can query Teads data directly in Claude using plain English. The new Supermetrics integration shifts the analyst bottleneck from data wrangling to decision-making, changing the operational math for marketing teams running outstream video campaigns.
The B2B Trust Gap: How AI Is Reshaping Buyer Trust and GTM
Only 11% of B2B buyers trust vendor marketing materials, and AI is fundamentally reshaping how purchase decisions happen. The funnel isn't broken—it's been replaced by something messier, faster, and largely outside our control.
ChatGPT Ads via Criteo: A CFO-Ready Pilot Framework
Criteo's ChatGPT integration is showing 2x conversion rates, but the measurement gaps make CFO approval tricky. Here's how to structure a pilot that Finance will actually sign off on.