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Methodology and trust

How Persavya reviews pages without turning psychology into pressure.

Persavya uses marketing psychology as a buyer-decision lens: clarity, proof, trust, decision friction, risk, fit, and CTA confidence. The goal is to make commercial pages easier to understand and evaluate, not to manufacture urgency or guarantee outcomes.

Use this page to understand the review standard before you submit a page, compare audit options, or decide whether Persavya is the right next step.

Trust at a glance

How to read Persavya findings.

Evidence is labelledFindings separate observation, likely risk, hypothesis, supported finding, and proven result.
No result promiseRecommendations do not claim guaranteed conversion, revenue, CPA, ROAS, or sales outcomes.
Context stays carefulSubmitted pages and business notes should be limited, relevant, and redacted where sensible.
Buyer agency stays intactThe work supports clearer choices, not artificial urgency, hidden commitments, or pressure tactics.

Review lens

Five practical questions guide the page review.

Persavya reviews the page as a decision path, not as a generic design critique. The method looks for where a qualified visitor may lose clarity, confidence, trust, momentum, or fit.

The method is commercial judgment with explicit limits. It does not claim clinical, neurological, legal, analytics, or testing authority.
Can the visitor orient quickly?

Offer category, audience, promise, proof cue, and next step should be clear early.

Clarity
Does proof support the claims?

Evidence should appear near the point where the visitor naturally starts doubting.

Proof and trust
Does the CTA match confidence?

The action should fit what the visitor currently understands, trusts, and can commit to.

CTA fit

Evidence-aware claims

Findings are labelled by what can actually be supported.

Persavya uses the weakest accurate claim. A visible page issue is not treated as a guaranteed conversion cause unless stronger evidence exists.

This keeps audit notes useful without inflating psychology, neuroscience, or CRO certainty.
ObservationA visible issue on the page.
RiskA likely source of buyer uncertainty.
HypothesisA change worth testing or validating.
Supported findingBacked by analytics, research, or customer evidence.
Proven resultReserved for specific controlled evidence.

Boundaries

What Persavya will and will not recommend.

The work can be commercially direct and conversion-aware. It should still preserve informed choice, visible scope, and honest evidence limits.

Will recommend
  • Clearer offer, audience, proof, scope, and next-step language.
  • Relevant proof closer to the claim it supports.
  • Reduced uncertainty where it blocks informed action.
  • Not-fit cues that protect the buyer and the business.
Will not recommend
  • Artificial urgency, misleading scarcity, or reset timers.
  • Guaranteed conversion, revenue, CPA, ROAS, or sales promises.
  • Brain-hack, hidden-control, or clinical authority language.
  • Hidden commitments, unclear data use, or disguised sales calls.

Useful friction

Not every obstacle should disappear.

Persavya removes confusion, not judgment. Some friction protects fit, consent, privacy, affordability, scope, technical quality, or legal review.

The goal is not to make every visitor act. The goal is to help qualified buyers choose with less unnecessary uncertainty.
Keep fit checksScope confirmation before payment prevents wrong-fit buyers from buying the wrong review.
Keep privacy notesSubmitted pages and business context need clear handling before intake or review.
Keep price and scope clarityBuyers should understand what is included, excluded, and expected before commitment.
Keep legal and technical limitsAudits can flag risks, but they do not replace legal, compliance, analytics, accessibility, or technical review.

Confidential review context

Submitted material should be limited, relevant, and treated carefully.

Audit buyers may share landing page URLs, screenshots, offer notes, campaign context, objections, or analytics excerpts. The page should explain what is needed and what should not be sent.

This is trust copy, not a legal privacy policy. Approved legal and privacy routes are available separately.
Use only what is needed

Submitted context is used to confirm scope and prepare the review.

Redact sensitive details

No passwords, customer records, payment details, or unnecessary personal data are needed for a standard audit.

Public examples need approval

Examples should be anonymized or specifically approved before use.

Trust FAQ

Plain answers before you request a review.

These answers are designed to reduce uncertainty without creating legal, security, performance, or result promises.

No testimonials, case results, credentials, or registration details are invented here.

Is this about manipulating buyers?

No. The goal is to make pages easier for the right buyer to understand, evaluate, trust, and act on while helping wrong-fit buyers opt out sooner.

Does Persavya guarantee more conversions?

No. Persavya identifies likely clarity, proof, trust, friction, and CTA issues. Results depend on offer strength, traffic quality, pricing, implementation, market demand, sales follow-up, and testing.

Do findings claim proven causes?

Only when the evidence supports that. Otherwise findings are framed as observations, likely risks, or hypotheses to validate.

Who operates Persavya?

Persavya is a brand operated by Livesearch SRL. Legal-policy routes are available separately from this methodology overview.

Evidence to action

Turn a page observation into the next useful action.

Persavya separates what is visible on the page from what can be claimed, then chooses a proportionate next step.

The board keeps methodology concrete: evidence label, decision risk, action order, and a safe route for the visitor.
Observation
Visitor cannot tell what happens next. CTA copy is visible, but effort, timing, or commitment is unclear.
Action orderClarify the next step before asking for higher commitment.
Use the decision flow checklist
Risk
Claim appears before enough proof. The page asks for belief before showing the evidence a buyer needs.
Action orderMove proof beside the claim and label the support level.
View sample finding
Hypothesis
Buyer confidence drops at the decision point. The offer may be relevant, but the page makes comparison or scope hard.
Action orderMap the decision path before rewriting the page.
Review audit method
Boundary
The page needs review, not pressure. Persavya can inspect clarity and decision support without promising outcomes.
Action orderConfirm fit manually before scope, payment, or implementation.
Request a fit review

Proof path

Choose the next proof object after the method.

Move from the evidence standard into a practical self-check, sample output, audit method, or fit-review request.