Process Cluster R
RESEARCH
Evidence over opinion
RESEARCH converts hypotheses into experiments and experiments into institutional intelligence, so every quarter starts from a better base of knowledge than the last.
- 26.4%
- Revenue growth on 12% lower media spend
- 100s
- Experiments run each quarter
- 1
- Shared source of truth per account
What we do
Inside RESEARCH
Analytics, experimentation and intelligence
Data Science
Marketing mix modelling, forecasting and elasticity work that informs allocation.
Market Research
Category sizing, share of search and competitor structure analysis.
Consumer Research
Qualitative and quantitative work that explains why the numbers move.
Attribution
Multi-touch, MMM and holdout triangulation instead of one flawed model.
Experiment Design
Powered, pre-registered tests with clear success criteria and read-out dates.
Growth Intelligence
A living knowledge base of what worked, what failed and what to try next.
How we run it
The operating sequence
- Step 01
Hypothesise
Every test starts from a stated belief and an expected effect size.
- Step 02
Design
Sample, duration and guardrails agreed before launch.
- Step 03
Measure
Causal read-outs, not dashboard correlation.
- Step 04
Codify
Results written into the playbook so learning does not leave with people.
Systems and tooling
- MMM
- Geo holdouts
- GA4 + BigQuery
- Lifesight
- The Growth Index
Proof