Agentic MMM & measurement
Agentic media mix modeling, scenario planning, and incrementality measurement built for the post-cookie world. Calibrated to lift tests, not just historical correlations.
PRIMARY KPI · MER · Incrementality
Agentic media mix modeling. Predictive lead scoring. GenAI creative automation. CDP-driven 1:1 lifecycle. Generative engine optimization. Built in your stack, against your funnel.
Each is a system we've shipped or have direct shipped credibility for. We don't take engagements outside this surface area unless we can name an adjacent build we've already done.
Agentic media mix modeling, scenario planning, and incrementality measurement built for the post-cookie world. Calibrated to lift tests, not just historical correlations.
PRIMARY KPI · MER · Incrementality
Predictive lead scoring, next-best-action modeling, and lifecycle orchestration on top of your CDP. RAG-based recommendation integrated with proprietary client data.
PRIMARY KPI · LTV · Payback
Brand-grounded creative generation, variant production, and pre-flight quality evaluation. We build the eval before we ship the generator.
PRIMARY KPI · Creative velocity · ROAS
Generative engine optimization (GEO), AI-native search visibility, and conversational acquisition surfaces. Measurement-first, not vanity-impression-first.
PRIMARY KPI · Share-of-search · GEO presence
by channel
media-mix model
response curves
search budgets
LLM agentsCAC · MER · ROAS
Representative builds — the technology patterns we bring to marketing. Where we cite results, they’re from work our team has shipped; everything else is what we’d build for you.
MK.T1 · Databricks or cloud ML
Bayesian media-mix modeling with agentic scenario exploration — budget reallocation in the planner's vocabulary.
Stack · Databricks or cloud ML · LLM agent layer
MK.T2 · Snowflake
Composable CDP on the warehouse — identity resolution, reverse-ETL activation, incrementality measurement.
Stack · Snowflake · dbt · Hightouch/Census-class activation
MK.T3 · Warehouse-native ML
Warehouse-native propensity models with activation into CRM/MAP. Our team shipped forecasting + RAG recommendations that drove a 7% annual TCV increase at a SaaS marketing platform.
Stack · Snowflake or Databricks · reverse ETL
Marketing is less regulated than insurance or healthcare, but operationally unforgiving — and the consumer-privacy frame is tightening. Our governance frame is CAC, LTV, MER, and payback — anchored against a privacy posture.
Where regulation does apply (consumer privacy, generative creative claims, AI-disclosure requirements), we apply the same audit-readiness discipline we use in regulated industries.
Our founding team has shipped AI on a venture-backed SaaS marketing platform, including scalable time-series forecasting on AWS and RAG-based recommendation on LangChain integrated with proprietary client data.
Most first conversations are 30 minutes with a senior partner. We'll tell you whether it's a fit, whether AI is the right answer, and what we'd build first.