Comver

Find where your storefront leaks revenue — in 60–90 seconds

The scan opens your homepage, a product page and the cart the way a shopper does, and scores what it finds: one CRO score from 0 to 100 with six weighted parts, the issues that cost the most, a directional revenue-at-risk range and an “Open fix” for every leak. Read-only, shareable, and the starting point for Copilot’s brief and the AI Action Plan.

Scan my store
  • Read-only — never changes your store
  • CRO score 0–100 · Target 70+
  • Shareable public report
https://beautyskin.com Scan running
Homepage · readPDP · cart · next
Connect
Read
Score
4Quantify
5Brief
Scoring the funnel · analysing product page structure58% · 60–90 s
CRO scoreNeeds attention
64of 100

6 points below Target 70+

Six weighted parts, scored the way a shopper sees them.

Homepage clarity11/15
PDP structure15/25
Cart / checkout12/20
Trust signals9/15
Offer / AOV8/15
Technical9/10
Top issues · Open fixranked by impact
01Weak above-the-fold PDP structure+6–10% ATC rate · estimatedOpen fix
02No cart upsell or bundle logic+8–14% AOV · estimatedOpen fix
03Offer clarity before checkout+3–6% conversion · estimatedOpen fix
Revenue at risk≈ $17,200 / modirectional estimate
from public signals
Copilot writes the brief Shareable public report Nothing applied to your store

60–90 s

From URL to score

Four passes over the live storefront: connect, read, score, quantify — then Copilot writes the brief

0–100

One CRO score, target 70+

“Healthy” starts at 70; below 45 the verdict reads “Critical friction”

6

Weighted parts

Homepage clarity /15 · PDP structure /25 · Cart & checkout /20 · Trust /15 · Offer & AOV /15 · Technical /10

Revenue at risk, always marked

A directional estimate from public storefront signals — never presented as measured

Illustrative figures on this page come from the product’s own demo fixtures. Your scan shows your store’s numbers, or “Awaiting data” — never an invented one.

CRO score

One score. Six weighted parts. A target of 70+.

Every scan writes a CRO score from 0 to 100 and the verdict that goes with it — Healthy, Needs attention or Critical friction — plus the highest-impact root cause and the action recommended next. Scores are trended across your last six scans against a dashed Target 70 line, so you can see whether the store is moving toward the benchmark or away from it.

  • A weighted breakdown you can read part by part: homepage clarity, PDP structure, cart and checkout friction, trust signals, offer and AOV system, technical basics
  • Each part is scored the way a shopper sees it — the price, variant, add-to-cart and rating summary above the fold, the drawer, the delivery threshold, the trust marks
  • The weakest part is ranked first and linked to the Comver module that can improve it
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CRO score

Why conversion is underperforming and which root cause matters first.

Run new auditAction plan

Audit snapshot

Latest completed scan · beautyskin.com

Needs attention

64

of 100

Several conversion areas are underperforming.

6 points below Target 70+ · 6 / 6 parts backed by evidence

Score history · last 6 scans

Score breakdown · weakest first

Each part links to its module
1
Offer / AOV system8 / 15
2
PDP structure15 / 25
3
Cart / checkout friction12 / 20
4
Trust signals9 / 15
5
Homepage clarity11 / 15
6
Technical basics9 / 10

Highest-impact root cause

Critical

Weak above-the-fold product page structure

PDP structure scores 15 of 25 — price, variant, add-to-cart and the rating summary sit below the fold on mobile.

Recommended next actionMove the rating summary above the fold+$2,300 / mo est.

CRO score

64 / 100

Target 70+

Evidence coverage

6 / 6 parts

Homepage · PDP · cart · trust · offer · technical

Revenue at risk

≈ $17,200 / mo

Directional estimate from public signals

Expected recovery

≈ $12,850 / mo

Sum of itemized leak estimates

What the scan scores

The six parts, and what each one is worth

The score is a weighted sum. Product page structure carries the most points because it is where most Shopify stores lose the add-to-cart; technical basics carry the fewest because most themes already pass them.

0–15 pts

Homepage clarity

Is it obvious what you sell, who it is for and where to start? Hero, navigation, first offer and the path to a product.

0–25 pts

PDP structure

Price, variant, add-to-cart and rating summary above the fold; benefits, proof and delivery answered before the shopper has to scroll for them.

0–20 pts

Cart & checkout friction

The cart drawer, the free-delivery threshold, quantity controls, upsell logic and how many steps sit between the cart and Shopify checkout.

0–15 pts

Trust signals

Reviews and their placement, payment marks, guarantees, returns policy — visible where the buying decision is made.

0–15 pts

Offer & AOV system

Bundles, add-ons, thresholds and rewards: whether the store has any mechanism that raises the order value beyond the single product.

0–10 pts

Technical basics

Shopify and theme detected, product feed reachable, pages load and render as a shopper — the foundation the other five stand on.

Revenue recovery

Where the revenue leaks — with the fix one click away

Revenue recovery turns the scan into a funnel: At risk → Recoverable → In execution → Recovered. Under it sits an itemized list of every leak with its source (Copilot or CRO score), priority, a monthly estimate or “Not estimated”, the size of the change, and an “Open fix” link that lands in the Comver module able to close it — Sticky ATC, Cart Rewards, Bundling & Upsells, Trust AI.

  • The “Biggest leak” is called out first; every other row is ranked by its estimate
  • Impact by revenue engine shows each module’s configured estimate (“+8–20% AOV uplift”, typical, not measured) and whether it is Active or Ready
  • “Recovered” reads “Not measured yet” until measured attribution exists — it is never modelled from the estimates above it
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Revenue recovery

Where your store is leaking revenue, backed by evidence — and the fastest path to recover it.

Open action plan

Recovery funnel

From estimated exposure to measured recovery — real data only

64/100 · View diagnosis
At risk
≈ $17,200CRO audit + Copilot recommendations
Recoverable
≈ $12,85025% lost from at risk · 4 itemized leaks
In execution
≈ $6,4001 change approved · measuring
Recovered
Not measured yetFills once measured attribution exists

Estimated stages carry an ≈. “Recovered” stays “Not measured yet” until measured attribution exists — it is never modelled.

Where revenue leaks (4)

Ranked by estimate · source shown per row
Biggest leak
1

No sticky add-to-cart bar on mobile product pages

Copilotcritical priority

Mobile add-to-cart rate 8.9% vs 13.4% on desktop; the buy box scrolls away on every product page.

$6,400 / mo · Low change
Open fix
2

Free-delivery threshold not shown inside the cart drawer

Copilothigh priority

Shoppers leave the drawer without seeing how far they are from free delivery.

$4,150 / mo · Low change
Open fix
3

No active cart upsell or bundle logic

CRO scorehigh priority

Offer / AOV system scores 8 of 15 — no bundle offer on the product page, no add-ons under it.

Not estimated · Requires review
Open fix
4

Rating summary below the fold on product pages

Copilotmedium priority

Trust signals score 9 of 15; reviews exist but are not visible before the first scroll.

$2,300 / mo · Low change
Open fix
After the scan

A report you can share, a queue you can act on, a command center that keeps score

The scan is the entry point. Its result is written to three places: a public report page you can send to anyone, the AI Action Plan queue inside Comver, and the Overview — the command center that shows the score, what is recoverable now and the button to run the next scan.

A shareable page with the score, the breakdown and the leaks

Every scan produces a public report at its own link: the CRO score ring, the six-part breakdown, top revenue leaks with their estimated lift, detected opportunities, missing conversion signals, what is already working and an estimated recoverable-revenue range — labelled as directional. Send it to a founder, an agency or a colleague; nobody needs a login.

app.comver.io/crau/report/9f2c…e1a4Public linkShare

AI Commerce Copilot Scan report

beautyskin.com

Scanned Aug 16, 2026 · homepage, catalogue, sample product page, cart

64

CRO score

Moderate conversion leakage

Six weighted parts scored from public storefront pages. Target 70+.

Estimated recoverable revenue

$12k–$17k / mo

Score breakdown

Homepage clarity11 / 15
PDP structure15 / 25
Cart / checkout friction12 / 20
Trust signals9 / 15
Offer / AOV system8 / 15
Technical basics9 / 10

This is a directional estimate based on public storefront signals. Full revenue recovery model requires analytics, Shopify and traffic data.

Top revenue leaks

1Weak above-the-fold product page structure+6–10% ATC rate
2No active cart upsell or bundle logic+8–14% AOV
3Offer clarity could be improved before checkout+3–6% conversion

Detected opportunities

  • Add Bundling & Upsells
  • Add Sticky ATC
  • Improve PDP trust system

Missing conversion signals

  • Free-delivery threshold
  • Reviews above the fold
  • Payment trust marks in cart

What’s already working

  • Shopify detected · OS 2.0 theme
  • Technical basics 9 / 10
  • Clear homepage hero and navigation
  • Product feed reachable
Connect the store to open every fix in ComverBook demo
How it works

From URL to the first fix

Nothing to install for the public scan. Connect the Comver app when you want the score to feed Copilot, the Action Plan and Reports.

  1. 1
    beautyskin.comScan

    Read-only · public pages only

    Enter your storefront URL

    On the homepage, in the app’s Overview (“Run AI scan”) or from Copilot (“Scan store”). The scan reads public storefront pages only — the homepage, the product feed, a sample product page and the cart.

  2. 2
    Connect to the storefront
    Read the storefront
    Score the funnel
    Quantify and report

    58% · usually 60–90 seconds

    Four passes, 60–90 seconds

    Connect to the storefront, read it, score the funnel, quantify and report — with screenshots captured along the way. Stay on the page; the stage rail shows exactly where the scan is.

  3. 3
    Daily brief · after the scan

    PDP structure scores 15 / 25 — mobile shoppers reach add-to-cart below the fold. Two low-risk fixes cover most of the gap.

    CRO 643 actions in queue≈ $12,850 upside

    Copilot writes the brief

    The result becomes a CRO score, top issues, opportunities, missing signals and a leak range. Inside Comver, Copilot then reads the store’s connected data and writes the daily brief and up to five recommendations.

  4. 4
    1Sticky add-to-cart bar on mobile$6,400 / mo est. · Low changeOpen fix

    Sticky ATC module · Prepare change · reversible

    Open the fix

    Each leak links to the module that closes it. Prepare the change, review its evidence and measurement plan, apply it — reversibly — and watch the next scan move the score.

Estimates, labelled

Directional where it must be. Blank rather than invented.

A public storefront scan can see structure, offers and trust; it cannot see your analytics. So the score is exact, and the money is a range — and the product says so on every screen.

Revenue at risk

A directional estimate based on public storefront signals. A full recovery model needs analytics, Shopify and traffic data connected.

Not estimated

When there is no evidence

Leaks that come from the CRO score without a dollar basis say so, instead of carrying an invented figure

Not measured yet

Recovered revenue

The last stage of the funnel fills only when measured attribution exists — never from the estimates above it

Once the store is connected, revenue at risk uses one canonical estimator across Overview, CRO score, Revenue recovery, the Action Plan and Reports: the larger of the latest audit’s leak range and the sum of open recommendation estimates, capped by measured monthly revenue when known.

FAQ

Frequently asked questions

Nothing. It is read-only: it fetches your public homepage, product catalogue, a sample product page and the cart, takes screenshots and scores what a shopper would see. Nothing is applied to your store, and no theme change or app permission is needed for the public scan.

Usually 60–90 seconds. You get a CRO score from 0 to 100 with a six-part weighted breakdown, the top conversion issues with recommended fixes, detected opportunities, missing signals and a directional monthly revenue-leak range — on a public report page you can share. Inside Comver, Copilot adds a written daily brief and a ranked action queue.

Six weighted parts: homepage clarity (0–15 points), PDP structure (0–25), cart and checkout friction (0–20), trust signals (0–15), offer and AOV system (0–15) and technical basics (0–10). Healthy starts at 70 — the dashboard shows the target as 70+ and trends your score across the last six scans against it.

From the public scan alone it is a directional range based on storefront signals, and it is labelled that way. Once the store is connected, one canonical estimator is used everywhere: the larger of the latest audit’s leak range and the sum of dollar impacts on open Copilot recommendations, capped by measured monthly revenue when known. If neither exists, the UI says “Awaiting data” rather than inventing a figure.

Not for the public scan — enter a storefront URL and you get the report. To open the fixes, see the recovery funnel, get the daily brief and let the score feed the Action Plan and Reports, install the Comver Shopify app and connect the store. Behaviour-based measurement of applied changes additionally needs the Comver storefront tracking to be live.

Yes. Every scan has its own public report page — score, breakdown, top leaks, opportunities, missing signals and what is already working. Anyone with the link can read it; no login is required.

The result is written to the CRO score page, the Revenue recovery funnel and the AI Action Plan. Copilot writes the brief, and every leak carries an “Open fix” link into the module that can close it — Sticky ATC, Cart Rewards, Bundling & Upsells, Trust AI. Prepare a change, review its evidence and measurement plan, apply it reversibly, and rescan.

On demand — “Run AI scan” on the Overview or “Scan store” in Copilot — and the score history keeps your last six completed scans. Separately, the daily brief refreshes automatically every morning at 04:30 UTC for every connected store.

See your CRO score before you change a thing

Enter your storefront URL and get the score, the six parts and the leaks in about a minute — read-only, shareable, and honest about what is estimated. Then connect the store and open the first fix.

Scan my store

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