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Paid growth is active, but the economics are unclear.
Use for Google Ads, PMax, Shopping, lead quality, tracking, landing-page, margin, and attribution problems.
Diagnose Paid GrowthFor teams beyond task-based marketing
Pay for better decisions and measurable outcomes—not completed tasks.
Etavrian helps established SMBs make and execute better Google Ads, SEO, and AI visibility decisions.
AI has made technical execution abundant. The real value is knowing what to do next, why it matters commercially, and who owns the result. Etavrian finds the first growth constraint, makes the highest-leverage decision, and carries it through execution and measurement.
Takes about 2 minutes. No account access required.
Selected client experience
The result matters. So does the decision behind it.
Published outcomes with the starting condition, intervention, result, and verified operating context.
Each case shows the operating constraint, the intervention, and the measured change.
Why the operating model changed
Execution got cheaper. Wrong decisions did not.
AI can produce campaigns, content, reports, research, and code faster than most teams can evaluate them. More output does not identify the correct business priority, and a wrong decision can scale waste faster.
Etavrian connects business context, data, judgment, implementation, and accountability. AI accelerates the work; the commercial decision and outcome stay founder-led.
Choose your starting point
Three routes. One accountable decision system.
Start from the current business problem, not a menu of deliverables.
Organic and AI visibility are not producing qualified demand.
Use for SEO, AI discovery, technical access, content, citation sources, commercial intent, and brand representation.
Diagnose Search VisibilityWe do not know which constraint comes first.
Use when several channels or operating problems look plausible and the team needs channel-neutral prioritization.
Start the Growth DiagnosisThe Decision-to-Outcome System
One loop from uncertainty to verified outcome.
AI can generate tactics. The Decision-to-Outcome System determines which tactic is worth funding, owns the implementation, and verifies what changed.
- 01Input: Website, account, tracking, feed, margins, demand, or buyer prompts.
Diagnose
Find the commercial constraint before choosing a channel task.
- 02Output: Trusted baseline, attribution, margins, lead quality, stock, and access limits.
Validate
Check the data, economics, demand, and implementation reality behind it.
- 03Output: One priority, target metric, assumptions, exclusions, and decision date.
Decide
Choose the highest-leverage move and make the trade-offs explicit.
- 04Output: Owner, sequence, dependencies, approvals, and validation method.
Execute
Ship the smallest coherent intervention that can change the outcome.
- 05Output: Metric movement, confidence, exclusions, unintended effects, and next decision.
Prove
Read the result against revenue, margin, pipeline, or qualified demand.
Repeat: evidence from Prove becomes the next Diagnose input.
Capabilities are tools
Use the channel that can move the constraint.
Channel expertise matters after the economics, signal, and implementation path are clear.
Demand capture
Google Ads
Use paid search, Shopping, and PMax when the economics, tracking, offer, and landing path support the scale decision.
Explore the capability Compounding demandSEO
Use technical, commercial, and authority work when organic demand can compound into qualified traffic and revenue.
Explore the capability Emerging discoveryAI visibility
Use source access, entity proof, and answer design when AI systems need to find, verify, and explain the brand accurately.
Explore the capabilitySupporting capabilities
Meta Ads · content · landing pages · analytics · reporting · automation
Used when they support the diagnosed commercial constraint—not sold as disconnected activity.Three-stage engagement model
Commitment grows only after the decision gets clearer.
Start with diagnosis, deepen only where evidence supports it, then execute with one accountable operating rhythm.
- Stage 1First clarity
Growth Diagnosis
A short, no-access intake identifies the likely constraint and the evidence needed to check it.
- Output
- Likely constraint, fit, and next evidence
- Access
- No account access to start
- Timing
- Response timing is confirmed after submission
- Review
- Manual fit and route review
- Excludes
- Not a full account audit or implementation plan
- Cost / terms
- $0
- Next
- Use the diagnosis, review a Decision Sprint, discuss execution, or stop if the public read is enough.
- Price changes
- Not applicable at this stage.
- Guarantee
- No. The output is a diagnosis, not an outcome guarantee.
- Stage 2Decision scope
Decision Sprint
A scoped investigation validates the economics, evidence, and implementation choices behind one important decision.
- Output
- Validated decision, implementation scope, and measurement logic
- Access
- Only the data relevant to the agreed scope
- Timing
- Exact duration is confirmed before payment
- Review
- The included review format is confirmed before payment
- Excludes
- Execution is separate beyond the limited implementation handoff
- Cost / terms
- $400 for the published Growth Decision Sprint; route-specific sprints are scoped after diagnosis
- Next
- Use the plan internally or discuss an Execution Partnership.
- Price changes
- Any price-change rules are confirmed in the Decision Sprint scope.
- Guarantee
- No. The Sprint validates the decision and baseline; it does not guarantee the outcome.
- Stage 3Ongoing ownership
Execution Partnership
Ongoing channel and cross-functional execution is tied to a visible decision cadence and measurable commercial outcomes.
- Output
- Implementation, coordination, and recurring outcome read
- Access
- Agreed systems, owners, and operating context
- Timing
- Cadence and any minimum term are confirmed in the scoped proposal
- Review
- Recurring decision and outcome review
- Excludes
- No guaranteed outcome; performance terms require an agreed baseline, attribution source, metric, and exclusions
- Cost / terms
- Scoped after the Decision Sprint.
- Next
- Agree scope, responsibilities, measurement, and terms before work starts.
- Price changes
- Price-change rules are confirmed in the service scope.
- Guarantee
- No. Any performance component requires an agreed baseline, attribution source, target metric, and exclusions.
The Growth Diagnosis is $0. The published Growth Decision Sprint is $400. An Execution Partnership is scoped only after the Decision Sprint. Performance-linked pricing is optional, never guaranteed, and begins only after the baseline, attribution source, target metric, margin assumptions, and exclusions are agreed. Exact timing and commercial details are confirmed before payment or in the scoped proposal.
Fit before scope
Useful when judgment matters more than another pair of hands.
Likely a good fit
- You have an established offer, operating business, and enough signal to inspect.
- You need prioritization across Google Ads, SEO, AI visibility, pages, tracking, or reporting.
- You want decisions connected to pipeline, ROAS, margin, qualified demand, or revenue.
- Your team can implement, or wants one owner to coordinate implementation.
Probably not a fit
- You need guaranteed results before the evidence and constraints are understood.
- You want isolated tasks completed without commercial context or measurement.
- You are still validating the core offer and have no usable customer or demand signal.
- You need a high-volume content, creative, or production-only vendor.
Andrii DanivFounder & growth operator
Founder-led delivery
The person shaping the decision stays close to the work.
- 01Initial diagnosisAndrii reviews the context and chooses the evidence to validate.
- 02Weekly decisionsAndrii owns priorities, trade-offs, and the commercial read.
- 03ExecutionSpecialists are coordinated against one scoped decision.
- 04ReportingResults return to revenue, margin, pipeline, or qualified demand.
- 05After the callInputs, responsibilities, scope, and terms are confirmed before access.
FAQ
Questions before you start
What is the difference between a Growth Diagnosis and an audit?
An audit usually inspects one known channel or system. The Growth Diagnosis starts one level higher: it identifies the likely commercial constraint and routes the right evidence check before a channel task is prescribed.
Do you execute the work or only recommend it?
Both options are possible. A Decision Sprint can end with a clear scope for your team, or Etavrian can execute and coordinate the agreed work through an Execution Partnership.
How does AI change your pricing or workflow?
AI accelerates research, production, and implementation. It does not remove the need to validate evidence, choose priorities, review quality, and own the outcome. Pricing follows the decision risk and operating responsibility, not the volume of generated output.
Can you guarantee results?
No marketing outcome should be guaranteed before the constraints and evidence are understood. The commitment is to explicit assumptions, accountable execution, and measurement against the agreed commercial outcome.
When does performance-based pricing apply?
Only where a clean baseline, attribution source, exclusions, and a fair performance band can be agreed. It is not the default for every service; the current e-commerce Google Ads page explains the existing model and terms.
What access is required?
None for the initial Growth Diagnosis. A scoped Decision Sprint may require relevant analytics, ad, Search Console, CRM, CMS, or commercial context, but the requested access is confirmed before work starts.
How quickly does the first phase run?
The timing depends on the evidence and systems involved. The intake is short; any deeper sprint duration, required inputs, and review cadence are confirmed in the scope rather than promised before the constraint is understood.
What makes a company a poor fit?
A poor fit usually means task-volume shopping, guaranteed-result expectations, no meaningful operating signal, unwillingness to define metrics or share relevant context, or a need for bulk AI output without validation.
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