Analysis, experiment design, churn modelling, competitive intelligence — running every week for 3 months. $6,997/mo.
If you're not seeing measurable progress by month 2, we extend — free.
THE SHIFT
| Without Growth LAB | With Growth LAB | |
|---|---|---|
| Experiment velocity | 0–2 tests/quarter. Inconclusive. | 3–6 tests always running. Clear winners, each builds on the last. |
| Churn prediction | You find out when they cancel. | Weekly at-risk list, 30–60 days early. |
| Competitive intel | A spreadsheet someone updates quarterly. | 15+ competitors monitored. Weekly Slack alerts. |
| Analytics | Dashboards nobody opens. | Every metric tied to a decision your team actually makes. |
| Experiment quality | Hypotheses from opinions. No sample size calc. | Pre-registered hypotheses. Power analysis. Definitive results. |
| Growth strategy | Quarterly planning offsite. | Running system that sharpens every month. |
WHAT'S RUNNING
3–6 statistically rigorous experiments always running. Hypothesis grounded in your data. Sample sizes calculated. Results that are definitive, not 'we think it worked.'
A model trained on your data, updated monthly. Your CS team gets a weekly at-risk list every Monday — 30–60 days before cancellation.
15+ competitors monitored continuously. Weekly pricing and messaging alerts via Slack. Monthly competitive report.
Every dashboard tied to a decision someone actually makes. Event tracking rebuilt around activation, retention, and expansion — not vanity metrics.
Here's what compounding looks like: Month 1, the churn model flags accounts with declining feature usage. Month 2, the experiment engine tests a re-engagement flow targeting that behavior. Month 3, CS saves 4 accounts worth $180K ARR using the playbook we built from the experiment results. Each layer made the others faster.
HOW IT WORKS
Review last month's experiment results. Update churn model scores. New at-risk list to CS.
New experiment hypotheses — grounded in last month's data, not opinions. Competitive intel review.
Experiments running. Analytics instrumentation updates. Churn intervention tracking.
Results analysis. Next cycle planned. Growth LAB Report delivered.
Each cycle builds on the last. That's not a marketing claim — it's how compounding actually works.
| Growth LAB | Growth OS (we run everything, 6 months) | |
|---|---|---|
| Who runs it | Your team runs it; Jake provides the system, analysis, and strategy | Jake's team runs everything; your CPO reviews weekly |
| Layers covered | Analytics + Experimentation + Intelligence (3 of 6) | All 6 layers |
| Team | Jake only | Jake + Designer + Engineer |
| Best for | $10M–$50M ARR with internal execution capacity | $15M–$80M ARR with no execution capacity to spare |
| Investment | $6,997/mo ($20,991 minimum) | $180,000–$300,000 |
| Engagement | 3 months, fixed | 6 months, fixed |
If you want Jake running the strategy and your team executing → Growth LAB. If you want the full team running everything → Growth OS.
See the full Growth OS →THE WORK
IS THIS YOU?
You have product-market fit but no growth function. The board wants 3× and you're trying to build everything from scratch. The Growth LAB gives you the strategy, analysis, and system — your team handles execution.
You have a growth PM and an analyst. They're running 0–2 experiments per quarter. The Growth LAB brings the experiment engine, the churn model, and the competitive intel — the pieces your team doesn't have time to build.
You have a full growth team but no system connecting analytics to experiments to competitive intelligence. The Growth LAB installs the system and runs the analysis. Your team stays focused on execution.
Not a fit if: your team doesn't have execution capacity (consider Growth OS instead), or you're pre-$10M ARR.
Everything we build stays with you.
Start a conversation →If you're not seeing measurable progress by month 2, we extend at no cost until you do.
A 15-minute call is enough to know whether the Growth LAB fits where you are.