Case study — Growth System / 2024
A growth engine that learns faster than the market.
OrbitGrowth System
Challenge
Growth had plateaued because every experiment took too long to design, ship and read.
Insight
The bottleneck was not ideas. It was the speed of the loop between test and learning.
Strategy
We rebuilt the experimentation program around a faster, instrumented, AI-assisted loop.
Creative
Modular ad and landing systems that let dozens of variants ship without starting from scratch.
AI workflow
AI agents drafted variants and flagged signals early so humans spent time on judgement, not setup.
Execution
An experimentation operating system with clear metrics, guardrails and a weekly learning rhythm.
The outcome
HigherTest velocity
TighterLearning loop
Cut downSetup time
Outcomes are described qualitatively. Verified metrics replace these once a client approves specific numbers for publication.
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