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.
3 humans, 21 agents: the only ops model that scales
How SaaStr AI runs 21+ agents with 3 humans—and the practical ops move to copy: agent scorecards with metrics, guardrails, and stop-loss rules.
The CFO's Paid Ads Audit: Where Neil Patel's Archive Meets 2026 Unit Economics
Most marketing teams treat paid ads as a volume game until Finance runs the real numbers: CAC payback stretching past 18 months and a growing gap between dashboard metrics and P&L reality. The 2026 reality demands a harder question: are your paid media dollars actually shortening time-to-revenue, or just buying activity?
Google AI Max: What It Is, What It Does, and Whether Your Account Is Ready
Google promises AI Max will boost conversions by 14-27%, but independent testing shows 99% of impressions generate zero conversions. Here's the math your CFO needs to see before you flip that toggle.
Google Gives Sites AI Search Opt-Out, But Not The Data To Use It
Google just gave publishers an AI search opt-out toggle, but without the click data needed to make an informed decision. You get impressions, not the one metric that matters for forecasting revenue, like jumping with a parachute but no altimeter.
Demandbase's Semantic Layer Bet: What It Means for Your List-Building Math
When your marketing ops team defines 'engaged account' differently than sales ops, you're not just creating pipeline friction, you're creating forecast variance that makes your CFO question whether marketing knows what it's measuring. Demandbase just shipped a semantic layer that solves the problem most GTM leaders don't realize they have until quarterly attribution debates start.
AI search cut the clicks. Your comparison page has to close.
A practical 2026 CRO experiment to convert AI-influenced comparison-page traffic with answer-first blocks, clean measurement, and clear guardrails.
Email-based IDs in CTV: when the match rate is 16%
Critics say email-based IDs break down in CTV because household viewing, low IP-to-email match rates, and opaque reporting make lift hard to prove.
B2B ads got smarter. Measurement didn’t keep up.
New B2B research shows a wide measurement gap; this piece explains why it persists and a practical holdout test to prove incrementality.
Use GSC’s AI Overview impressions as an early-warning KPI
Google’s 2026 GSC generative AI report adds AI Overview impressions; here’s a practical workflow to tie that visibility to conversions without overrating it.