Growth Marketing & Data Analytics
Scale acquisition and retention with experimentation, attribution, and product-led growth grounded in reliable analytics.

Experiments, not guesswork. We connect marketing, product, and revenue data to find the levers that compound growth.
TL;DR
- Clean event taxonomy and tracking plan.
- Attribution that matches your business model.
- Experiment pipeline with statistical guardrails.
- Cohort retention analysis and LTV models.
- Weekly operating cadence and dashboards.
Core outcomes
- Lower CAC with clearer channel mix.
- Higher activation and week‑X retention.
- Faster test cycles with trustworthy data.
- Shared source of truth across teams.
Deliverables
- Tracking Plan & Schemas — events, properties, IDs, privacy flags.
- Attribution Model — tailored for your channel mix (MMM, MTA, or hybrid).
- Experiment System — prioritization frameworks, power calculations, stop rules.
- Growth Dashboard — unified view from acquisition to retention.
- Playbooks — repeatable experiments for pricing, onboarding, reactivation.
Process
- Instrument — verify coverage, identity resolution, and signal quality.
- Model — define success metrics, segment users, and map influence paths.
- Test — prioritize and run experiments with rigorous design.
- Scale — automate wins and flag regressions early.
Philosophy
Deming taught us: if you can’t describe what you’re doing as a process, you don’t know what you’re doing.
And as Sutherland might say—sometimes the irrational lever is the most powerful. We test both.
Example outcome (anonymized)
Reframing the paywall and adding a commitment-friendly annual plan increased ARPU by 14% and cut churn by 11% over two quarters.
FAQs
Which tools do you prefer?
We’re warehouse-first. Compatible with most modern analytics stacks.
Do you handle GDPR?
Yes—privacy by design, consent orchestration, and retention logic built in.
How big should our sample be?
We calculate Minimum Detectable Effect (MDE) and power per test. No roulette testing.
Can you partner with our agency or product team?
Yes. We often act as the analytics layer that makes their work measurable.
Get started
Send us your current KPIs and dashboard. We’ll highlight the top three levers to move in the next 30 days.