Marketing operations
is being rebuilt by AI.
Most teams are watching
it happen.
I help marketing and data teams design the agent architecture, measurement layer, and data infrastructure for what comes next — not what worked last decade.
No pitch. I'll reply within 1 business day.
The electricity moment.
Every decade has one technology that restructures how work gets done. The teams that move early don't just save costs — they build structural advantages their competitors spend years trying to close.
AI agents are that technology for marketing and data operations. Not AI that assists analysts. AI that replaces entire workflow loops — briefing, monitoring, reporting, anomaly detection, measurement — running continuously, at scale, on your actual data.
Most marketing organizations are still debating whether to start. The ones I work with are already building.
Five ways we work together.
Each engagement is fixed scope with a clear deliverable. No open-ended retainers until you've seen what we can do.
Practitioner, not just advisor.
The best consulting comes from people still in the arena. Here's what I'm shipping:
SaaSMatchup
Tech stack recommendation for agencies and brands. Architecture-level intelligence — not another tool directory.
saasmatchup.com →Agent Playbook
How to run three ventures on weekends with AI agents. The methodology, the stack, the patterns.
Coming soonClearpath Ventures
Exploring the next category. Agent orchestration for marketing operators.
In researchAngshuman Rudra
For ten years I was the founding product leader at TapClicks — building the data and AI infrastructure that thousands of marketing agencies run on. 200+ data connectors. Production AI agent systems. ETL pipelines at $10B+ in ad spend processed annually.
Before that: Yahoo, Adobe, Xilinx.
I've built the full stack — from raw ingestion through agentic workflows — across two decades. I'm not describing a future I'm predicting. I'm describing a present I'm building.
Thinking out loud about AI, data, and what comes next.
Do You Actually Need a Clean Room?
Clean rooms are the most over-sold and under-specified tool in the modern data stack. Before you stand one up, there are four questions that tell you whether you need one, a simpler match, or nothing at all.
Publisher Clean Rooms: How Netflix, Amazon, and YouTube Changed TV Attribution
Netflix's Snowflake clean room and Amazon Marketing Cloud have shifted streaming from a brand-awareness buy to a performance channel. Here's what changed, how the attribution actually works, and what it means for media buyers.
The Measurement Maturity Model: Six Levels from UTM to Incrementality
Most brands are stuck at Level 2 trying to run Level 5 programs. A diagnostic framework for understanding where your measurement infrastructure actually is — and what it takes to get to the next level.
Let's talk about what you're building.
Whether you need a roadmap, an architecture review, a speaker, or just a sharp conversation about where marketing AI is actually going — start here.