Growth Consulting
Find the constraint. Remove it. Measure the result.
Growth consulting that starts with diagnosis, not a framework, and ends with a system that compounds.
Growth consulting is not a service category, it is a methodology. The methodology starts with finding the real constraint: not the symptom the founder is describing, but the underlying system failure that is producing it. It ends with a measurable intervention that removes that constraint and a system that prevents it from returning. Everything in between is tailored to the specific business.
Finding the actual constraint rather than the assumed one
The instinct when growth stalls is to add: more channels, more budget, more team. But addition rarely resolves a system failure. If the constraint is attribution accuracy, adding channels produces more unattributed spend. If the constraint is lead quality, generating more leads produces more unqualified pipeline for the sales team to work through. If the constraint is the conversion rate at a specific funnel stage, adding top-of-funnel activity produces more drop-off at the same point. The constraint-finding process starts with the data: 12 months of acquisition, conversion, and retention metrics reviewed in sequence to identify where the system is losing the most value relative to the resources being invested. This analysis typically produces a different answer from the one the team assumed, which is why the diagnostic phase runs before any intervention is recommended. Acting on the assumed constraint before confirming it with data is one of the most common and most expensive errors in growth management.
The growth model: quantifying the system before designing interventions
A growth model is a quantitative representation of the business that shows how each input variable affects each output metric. At its most useful, it shows the sensitivity of the key output, typically ARR or revenue run rate, to each lever: if the lead-to-customer conversion rate improves by a defined amount, what is the incremental ARR impact? If monthly churn rate decreases by a defined amount, what is the change in customer lifetime value and payback period? If average deal size increases, what does that do to the CAC payback timeline? The model answers these questions before any intervention is designed, so the team can evaluate which lever produces the greatest impact before committing budget and effort. It also creates alignment between marketing, sales, and leadership: when everyone agrees on the model, the conversation about priorities becomes evidence-based. Disagreements about where to focus energy are resolved by the model rather than by seniority or persuasion.
Interventions designed against root causes, not symptoms
The growth interventions that produce lasting results are those designed to address the root cause identified in the diagnostic, not the presenting symptom. Adding a retargeting campaign to improve overall conversion rate is a symptom-level response if the diagnostic shows the root cause is that the offer positioning is not differentiated enough to close buyers who have evaluated multiple alternatives. Rebuilding the lead scoring model is a root cause response if the diagnostic reveals that the sales team is spending a disproportionate amount of time on leads who are fundamentally not in-market. The distinction matters because symptom-level interventions produce temporary improvements that regress when the underlying cause reasserts itself. Root cause interventions produce structural changes that hold and compound over time. The growth consulting engagement designs interventions against the root cause, validates them with the minimum viable test, and scales the ones that produce the expected result before moving to the next intervention on the priority list.
Full business audit covering acquisition, activation, retention, revenue, and referral, finding the weakest link in the chain.
Data-driven root cause analysis: where is the business losing customers, margin, or velocity, and why?
A quantitative model of the business showing how each input (spend, conversion rate, churn) affects output (ARR, CAC payback, LTV).
90-day plan focused on the highest-leverage interventions, ranked by expected impact, not by how easy they are to execute.
Hands-on support implementing the priority interventions, strategy and execution from the same person.
North Star metric, weekly leading indicators, and monthly review cadence so you always know if growth is on track.
- 01Diagnostic sprint: two weeks of data review, customer interviews, and team conversations to map the full growth system.
- 02Constraint identification: single biggest lever identified and validated with data before any intervention begins.
- 03Model build: quantitative growth model showing the relationship between every key input and the North Star metric.
- 04Intervention design: specific, testable interventions designed around the constraint, not generic growth tactics.
- 05Execution and measurement: run the interventions, track the metrics, iterate based on data.
Ready to get started?
Book a 30-min call