A growth asset running in your operation.
Attribution, planning, scoring, orchestration — installed in your real stack with owner and runbook. Measurable results in weeks.
A catalog of productive assets.
Each asset solves a concrete problem in your growth operation. You pick one, we build it in 8-16 weeks, it stays running.
Data & Measurement
- Attribution Engine
- Production KPI Dashboard
- Event QA & Monitoring
- Lead Scoring Engine
- Lead Routing Engine
- Automated data pipeline
- Sales Productivity Analyzer
Acquisition & Conversion
- Media Planning Simulator
- Budget Allocation Engine
- Paid Audit Engine
- Creative Scoring & Insights
- Experimentation OS
- Landing / CRO Insights
- Offer & Message Testing
Lifecycle, Ops & AI
- Churn Prevention Engine
- CRM Journey Orchestrator
- Segmentation Engine
- AI Insight Generator
- AI Briefing Assistant
- No-Code Automation Stack
- Full Growth Operating System
What an operating asset looks like — real case.
Prediction of at-risk users + quadrant segmentation (Persuadables, Sure Things, Lost Causes, Sleeping Dogs) + personalized interventions. Measured with Propensity Score Matching + Difference-in-Differences. Auditable causal ROI.
Activated channels
- Google Ads (audience sync)
- HubSpot / Salesforce (CRM)
- WhatsApp Business
- Snowflake (reverse ETL)
Four stages to a running system.
Kickoff and scope
We define the exact asset, the problem it solves, the stack and the owner. We leave with closed scope and agreed timeline.
Progressive construction
Weekly progress visible in your real environment. You don't wait till the end — from week 1 you see the system take shape.
Co-construction
Your team actively participates. Integrated, not parallel. That's how knowledge stays when we leave.
Handoff or continuity
Asset in production, documented runbook, trained owner. We exit with handoff or keep running decisions as Decision Unit — client chooses.
An engagement doesn't close until these 5 criteria are met.
No exceptions.
Asset in production — running in your real stack, not staging
Trained owner — one team member knows how to run, maintain and evolve it
Documented runbook — processes, QA, troubleshooting and key decisions
Validated adoption — the team used it in at least 1 real decision cycle
Actionable outputs — generates information that translates into concrete actions
Three levels by complexity.
Tier S
8 weeksFor bounded assets: a pipeline, a dashboard, a scoring. Closed scope, clear problem.
Tier M
12 weeksFor medium-complexity assets: attribution engine, media planning simulator, experimentation system. Integration with multiple sources.
Tier L
16+ weeksFor composite systems: full Growth OS, Journey Orchestrator with multiple flows, or combination of integrated assets.
Investment
USD 12,000 – 50,000+ by tier and asset. Handoff or Decision Unit continuity — defined at close.
You know what you need, but your team can't build it?
30 minutes to identify which asset applies and how to land it in your stack.