06 / Practice
AI-Powered Growth Engineering
Applied AI across acquisition and retention for consumer and e-commerce brands.
/ The problem
Where this work usually goes wrong.
Personalisation is easy to demonstrate and hard to hold. Most programmes stall because the segmentation is static, the content pipeline has no review gate, and nobody is measuring incremental lift against a holdout.
/ What we do
The work itself.
- 01
Segmentation and personalisation infrastructure built on behavioural data
- 02
Lifecycle messaging systems measured against a holdout group, not against last month
- 03
Creative and content operations at scale, with human review gates before anything reaches a customer
- 04
Brand and compliance guardrails encoded into the pipeline
/ What you receive
Deliverables, and how long it takes.
Typically 6–12 weeks to a running programme with measured lift.
A personalisation and lifecycle stack you own
An experiment framework with holdouts and honest lift reporting
Documented review gates for anything customer-facing