More Experiments.
Same Evidence Bar.
Scale the number of useful tests without sacrificing their quality. Every experiment is sized before launch, tied to a customer or revenue decision, and ends with a clear call: scale, stop, or learn.
Output Isn't the Same
as a Decision.
Output counts—pages reviewed, tests shipped, and decks delivered—do not tell you whether the next investment is sound. Before hiring any provider, ask who owns the hypothesis, sample requirement, revenue metric, and decision rule.
The risk is fragmented decision ownership. When those responsibilities are unclear before launch, a fast testing cadence can simply produce inconclusive results faster.
This model gives one senior practitioner responsibility for that full chain. Your team keeps the roadmap, standards, and learning system after the engagement ends.
Price the Decision.
Don't Promise the Lift.
A Revenue Experimentation Audit is not worth the same to every company. But company size alone cannot tell us the return. Traffic, margin, variance, implementation cost, and the smallest effect you can reliably detect all change the economics.
That is why I do not publish a universal payback multiple. We build the business case from your baseline data and state the assumptions before anyone treats a forecast as a promise.
The relevant precedent is in-house work at NRG Energy: the program scaled from roughly 20 to 100+ annual experiments while maintaining revenue measurement standards, and recorded $30M+ in internal 2025 program reporting. That is historical proof of operating at scale, not a forecast for your company.
Revenue base × contribution margin
What a conversion is actually worthVolume, variance, and sales-cycle length
The smallest effect you can reliably detectImplementation cost + budget at risk
What it costs to scale the wrong answerBuy the Missing Capability—
Not the Biggest Team
A full-service agency is the better fit when you need an outsourced production bench. This direct-senior model is the better fit when your internal team can ship and needs independent judgment about what deserves to be built.
| Category | Agency Model | Direct Senior Consultant |
|---|---|---|
| Scope | Can combine strategy, research, design, development, and account management. | Direct senior diagnosis and decision leadership; your team normally owns production. |
| Who Does the Work | Varies by agency. Confirm the named weekly team, senior time allocation, concurrent account load, and handoff policy. | Atticus remains the named working lead from diagnosis through the executive readout. |
| Delivery Capacity | A larger bench can suit companies that need production support across disciplines. | Best when your team can build and ship while I own diagnosis, priorities, measurement standards, and the readout. |
| Decision Standard | Ask how hypotheses, power, stopping rules, and revenue attribution are documented. | Primary metrics, sample requirements, guardrails, and decision rules are agreed up front. |
| Commitment | Terms vary by scope, staffing model, and production commitment. | Fixed diagnostic and audit scopes; Fractional Head of Experimentation has a three-month minimum. |
| Proof to Review | Ask for case context, the team’s exact role, measurement method, and evidence limits. | Named in-house case studies show role, project metrics, and what the results do not prove. |
Compare named people, exact responsibilities, decision standards, and contract terms—not stereotypes about either model.
Credentials That
Justify the Price.
The Question Isn't Whether
You Can Afford It.
The question is not whether $5,000 is meaningful spend. It is. The question is which decisions remain unclear today — what to test, what evidence is strong enough, and which result deserves more engineering or media budget.
The audit is accountable for controllable outputs: a complete diagnosis, a revenue-ranked portfolio, explicit measurement standards, and a 90-day decision roadmap. It does not promise a conversion lift your traffic, customers, and implementation ultimately decide.
Need a Decision
Your Team Can Defend?
One conversation to determine whether the audit can resolve a valuable decision. If the evidence is not there, I will say so before recommending a larger engagement.
Common
Questions
How much does a Revenue Experimentation Audit cost?
The Revenue Experimentation Audit is $5,000 one-time. It includes an end-to-end analysis of one agreed priority funnel, a revenue-ranked 90-day roadmap, measurement-risk diagnosis, 90-minute executive debrief, and 30 days of follow-up. The $2,500 Experimentation Readiness Diagnostic is a narrower readiness decision, not a roadmap.
How is an independent CRO expert different from an agency?
The difference is decision ownership, not the label on the vendor. In this engagement, one senior practitioner owns the diagnosis, test sizing, measurement plan, and executive readout. A larger agency may be the better fit when you need a broad production bench; this model is built for teams that need a decision-ready roadmap and a direct senior partner.
How do you estimate the value of a Revenue Experimentation Audit?
There is no credible ROI forecast before the baseline data is reviewed. The business case uses your revenue base, qualified traffic, contribution margin, minimum detectable effect, and implementation cost. The audit guarantees a decision-ready diagnostic and revenue-ranked roadmap; it does not guarantee conversion lift.
Do I need to hire an agency after the audit?
No. The audit delivers an experiment pipeline your team can execute independently. Every hypothesis includes the behavioral rationale, test design, measurement requirements, and decision rule. If you want ongoing embedded leadership, Fractional Head of Experimentation support starts at $15,000/month with a three-month minimum—but the audit is designed to stand on its own.
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You Can Defend
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