---
title: What is Autonomous growth science?
url: https://markin.ai/glossary/autonomous-growth-science
category: Markin vocabulary
---

# Autonomous growth science

> Autonomous growth science is the practice of running the full scientific loop over a customer base without a human in every step: observe, hypothesise, decide, launch, measure causally, and update. Humans set objectives, constraints and guardrails; the system supplies throughput and evidence.

## Why it matters for ARPU

It reframes growth from campaign execution to continuous investigation, which is what a large B2C base with millions of heterogeneous customers actually needs to lift revenue per user.

## Related terms

- [Growth agent](https://markin.ai/glossary/growth-agent), A growth agent is an autonomous worker that runs one stage of the growth-science loop without being prompted: reading signals, writing hypotheses, designing experiments, launching them through connected systems or reading out causal results.
- [Hypothesis](https://markin.ai/glossary/hypothesis), A hypothesis is a falsifiable statement linking an action to a revenue outcome for a defined population: if we do X for segment Y, metric Z moves by roughly N because of mechanism M.
- [Experiment](https://markin.ai/glossary/experiment), An experiment is a controlled release of a candidate action against a randomised holdout, sized in advance so the result can distinguish a real effect from noise.
- [Decision layer](https://markin.ai/glossary/decision-layer), A decision layer is the system that sits between the data warehouse and the execution tools and decides, per customer, what deserves to happen next.

## Go deeper

- [A top data science team in the agentic era](https://markin.ai/blog/top-data-science-team-agentic-era), The operating model.
- [Markin and your growth team](https://markin.ai/compare/markin-and-your-growth-team), How the work divides.

Source: https://markin.ai/glossary/autonomous-growth-science