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Sample diagnostic format

What a Conversion Second Opinion Looks Like

Updated May 2026 · AI-search reviewed · Sample structure

A sanitized example of the kind of written diagnosis SC produces. This is not a fake case study, not a promise, and not a claim from a named client. It is an example structure for the diagnostic output.

Quick answer

A Conversion Second Opinion is a written diagnosis that reads the site, account, numbers, offer, and follow-up path together. The output names what appears broken, what not to touch yet, what to fix first, and what to measure after.

Read this first

This is a sample structure, not a result claim.

This page shows the typical diagnostic format used to explain a conversion problem. It uses sanitized, representative examples so a buyer can understand what the written read looks like without exposing client data or inventing outcomes.

Use this page when the question is: "What do we actually get from the Conversion Second Opinion?" The answer is a written commercial diagnosis, not another agency pitch.

The five-layer SC Method

The read checks the system around the conversion.

01

Site

Landing page, product page, intake form, speed, mobile path, proof placement, and CTA friction.

02

Account

Campaign structure, search terms, audiences, exclusions, budget allocation, and conversion events.

03

Numbers

Spend, sessions, lead quality, revenue, ROAS, CPA, attribution, and what the dashboard is hiding.

04

Offer

The promise, price signal, risk reversal, buyer fit, proof, and reason to act now.

05

Follow-up

Lead routing, call handling, quote speed, CRM handoff, and whether good attention dies after inquiry.

Sample diagnostic table

The output separates symptoms from causes.

Symptom Likely cause What to check First fix Money risk
Ads get clicks but no sales Traffic intent and landing promise do not match. Search terms, ad copy, landing headline, product/page promise, conversion event quality. Separate buyer-intent traffic from research traffic before changing bids. More spend teaches the platform to find the wrong visitor.
Website gets traffic but no leads The page explains the business but does not create a qualified next step. First screen, proof above the fold, CTA specificity, form friction, mobile layout. Make the buyer problem, proof, and next action visible before adding more content. Qualified visitors leave because they cannot see why to inquire now.
Shopify store gets add-to-carts but few purchases Product-page trust and checkout economics are not carrying the buyer through. PDP proof, shipping/tax surprise, returns clarity, payment friction, checkout attribution. Fix cart-to-checkout friction before launching new campaigns. Paid traffic keeps filling a cart path that leaks margin.
Leads come in but calls do not book Follow-up path is slower or less specific than buyer urgency. Response time, routing, qualification fields, missed-call handling, quote handoff. Route the lead by problem type and shorten the first-response loop. Marketing appears weak when the leak is actually after the form.

Example output sections

The written read turns diagnosis into a next decision.

What is broken

The sample names the dominant leak in plain language: a tracking problem, a page problem, an offer problem, a traffic-quality problem, or a follow-up problem. It does not treat every issue as equally urgent.

What not to touch yet

The written read protects the buyer from changing the wrong thing first. Example: do not rebuild the whole site if the conversion event is broken, and do not increase budget if the page cannot carry the click.

What to fix first

The output gives a first-fix sequence ordered by commercial risk. The point is not a long task list. The point is the next move that stops the most money from leaking.

What to measure after

The sample includes what should change if the diagnosis is right: lead quality, purchase rate, booked-call rate, ROAS quality, quote-to-close movement, or a cleaner owner decision.

Where this sample connects

Use it when the buyer needs to see the diagnostic shape.

FAQ

Common questions about the sample.

Is this a full marketing plan?

No. This sample shows a diagnostic format. A Conversion Second Opinion names what appears broken, what should not be touched yet, what to fix first, and what to measure after. It is not a full marketing plan, channel calendar, brand strategy, or implementation roadmap.

Is this a free audit?

No. This is a paid written diagnostic structure. Free audits usually look at one surface. The Conversion Second Opinion reads the site, account, numbers, offer, and follow-up path together so the buyer can see the commercial leak.

Do you implement the fixes?

Sometimes. The written read stands on its own. Some buyers implement internally. Some ask Stan Consulting to scope a repair, management, or advisory engagement after the diagnosis. The sample does not promise implementation or outcomes.

What do I need to send?

The useful inputs are the page or store URL, ad account context, recent numbers, offer details, tracking access or screenshots, and the specific question the business needs answered. The written read is only as useful as the commercial context behind it.

What happens after the written read?

The buyer receives a written diagnosis and a first-fix sequence. After that, the buyer can implement internally, ask for a scoped follow-up, or stop. The point is to make the next commercial decision clearer before more spend or another retainer.

Paid diagnostic route

Start with the written read.

Use the Conversion Second Opinion when the business needs to know what is leaking before buying more execution.

See the Conversion Second Opinion