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.
Build a Live Data Stack With MCP for Smarter Campaign Performance
Your AI is running on stale fuel, exporting CSVs, pasting into Claude, and acting on data that's already three days old. There's a three-layer stack that changes this fundamentally, and it's the difference between AI as a novelty and AI as infrastructure your CFO will actually fund.
Reddit Ads Meets ChatGPT: The CFO-Safe Case for Subreddit Targeting
Eighty-eight percent of Reddit users made a purchase based on platform information last year, but most B2B teams can't extract actionable insights fast enough to justify the spend. New ChatGPT integrations change that equation by turning subreddit-level data into natural language queries that deliver optimization insights in seconds, not spreadsheet archaeology sessions.
Connecting Yandex.Direct to ChatGPT: What the Russian Search Spend Pipeline Actually Looks Like
Most B2B marketers are still manually exporting Yandex.Direct data into spreadsheets while the infrastructure to query it conversationally has quietly matured. The question is whether the time-to-insight improvement justifies the setup cost, and whether the data quality holds up under CFO scrutiny.
When ABM Meets Attribution: The B2B Marketing Power Couple of 2026
B2B marketing in 2026 is like being a DJ at a wedding – you've got to read the room and prove your worth while targeting accounts that actually matter. The marriage of ABM and attribution isn't just changing how we measure success; it's redefining what winning looks like entirely.