A2Trust Fictional 360 sample

Luma Market

A deeper report showing how product trust, checkout friction, SEO and measurement connect to store revenue.

Fictional company, invented figures and invented evidence. This is a sample of structure, not a real audit.

Decision layer

The answer before the appendix

The sample is written as a client document: decision, likely business loss, first fix, confidence and action plan before any appendix.

Highconfidence
Executive decision

360 Audit

Luma Market can keep selling, but should not scale paid traffic until mobile product trust, checkout reassurance and event confidence improve.

What the business may be losing

CHF 18k-31k / mo

The invented estimate suggests CHF 18'000-31'000 per month in recoverable order value if the highest-friction product paths are corrected.

What to fix first

Fix mobile product decision area

Move delivery promise, return reassurance, review proof and primary buy action into the first mobile product decision area.

Evidence confidence

High

The fictional sample includes invented public, analytics and search evidence to show the connected 360 structure.

Recommended order
01

Fix mobile product decision area

Move delivery, returns, review proof and buy action together.

02

Clean purchase events

Confirm core ecommerce events and remove duplicate or weak signals.

03

Rewrite priority category proof

Match category pages to commercial search intent.

Public samples use fictional companies and invented numbers. Real client reports are private and use the client's saved scan plus approved read-only evidence or exports.

Client delivery format

This is the kind of PDF decision file a client receives.

Public samples use fictional companies and invented numbers. Real client reports are private and use the client's saved scan plus approved read-only evidence or exports.

  • Commercial leakage view
  • Search, tracking and product-page confidence
  • Priority fix order
  • 7 / 30 / 90 operating plan
What this report helps decide

The sample shows how the product becomes useful for this industry.

Every A2Trust report is shaped around the business model. The goal is not to impress with data; the goal is to help the owner make the next decision.

Revenue

Find the recoverable leak

The report translates UX and tracking gaps into order-value decisions.

Spend

Scale only after proof

Traffic budget is safer when product pages and events can carry it.

SEO

Match category intent

Search demand is mapped to pages that can convert.

Ops

Give the team a plan

The output can be used by owner, developer, freelancer or agency.

Document structure

What the PDF contains

The online sample mirrors the client PDF structure: the decision is first, evidence supports it, and the action plan is last.

01

Executive decision

Whether to scale, pause or fix first.

  • Decision
  • loss
  • confidence
02

Leak map

Where product, checkout and channel evidence lose value.

  • Product
  • cart
  • events
03

Source evidence

Public, search and analytics signals with confidence boundaries.

  • SEO
  • GA4
  • Ads
04

7 / 30 / 90 plan

How to correct, measure and scale with less waste.

  • Fix
  • measure
  • scale

Executive decision

Luma Market can keep selling, but should not scale paid traffic until mobile product trust, checkout reassurance and event confidence improve.

Evidence snapshot

Evidence snapshot

The cards below are fictional, but they show how public signals and optional read-only sources are translated into business confidence.

Product pagesLeaking

Delivery and return reassurance arrive after the buy decision.

CheckoutModerate friction

The purchase path works, but confidence elements are uneven on mobile.

TrackingPartial

Some events exist; attribution confidence needs cleanup before scaling.

SearchOpportunity

Category pages can better match commercial query intent.

Where the value is leaking

Where the value is leaking

The target is not a promise. It is the practical level we would want before the owner spends more on traffic.

Product trust52/100 → 84/100

Proof and reassurance should be visible before the buy action.

Checkout confidence57/100 → 82/100

The path works but does not reduce risk enough.

Event quality49/100 → 86/100

Measurement must separate real purchases from soft signals.

Search-to-category fit63/100 → 80/100

Commercial intent can map to better pages.

Priority fix order

Priority fix order

The report is useful only if the client can hand the next actions to a team, freelancer or A2Trust sprint.

01

Fix mobile product decision area

Move delivery, returns, review proof and buy action together.

More visitors trust the product before leaving.
02

Clean purchase events

Confirm core ecommerce events and remove duplicate or weak signals.

Budget decisions use cleaner evidence.
03

Rewrite priority category proof

Match category pages to commercial search intent.

Organic and paid traffic land on stronger buying pages.
04

Scale only proven paths

Shift spend toward categories with stronger checkout confidence.

Growth becomes less dependent on guesswork.
Action plan

Action plan

7 days

Stop the visible leak

Correct mobile product blocks and verify purchase-event basics.

30 days

Make growth measurable

Map queries to categories, clean events and compare conversion quality.

90 days

Scale with confidence

Move spend and SEO work toward the paths that prove better order value.

Included in this sample package

  • Public review
  • View-only/export evidence
  • 360 PDF
  • 7/30/90 plan

Outside this package

  • Implementation work
  • Full CRO experiment build
  • Legal certification
  • Password-based access