System
Shopify AI commerce system
Store build, product pages, Meta, Google, feed, citations, and AI shopping visibility connected into one revenue system.
Stan Consulting Results
Proof files for revenue leaks SC can actually see.
Use these NDA-safe files to match your leak to evidence before buying another proposal, campaign, redesign, or retainer.
NDA-safe proofdiagnostic pattern retainedproof before proposal
Proof system
Leak. Diagnosis. Route. Next move.
Problem
Evidence
Fix order
CSO
Quick answer
These results are not portfolio decoration. Each proof file shows a commercial pattern: what was leaking, what SC diagnosed, what changed, and which page or offer should be the next step.
Written diagnostic sample
What the written diagnostic looks like.
This is a sanitized sample format for the Conversion Second Opinion, not a client case study. It shows the kind of written read a buyer receives before choosing whether to fix a page, campaign, funnel, offer, or follow-up path.
See the sample diagnostic →
What is broken
What not to touch yet
What to fix first
What to measure after
What the proof shows
Four places where results had to become commercial.
The page now uses the same homepage visual system: gold diagnostic icons, large proof surfaces, dark evidence bands, and direct buyer routes.
Paid mediaSpend had to become buyers
Google Ads waste, PMax structure, market split, and campaign-to-page fit.
EcommerceTraffic had to become purchases
Shopify product pages, cart path, feed structure, product discovery, and checkout trust.
WebsiteVisitors had to become inquiries
Quote path, trust placement, intake clarity, mobile path, and local lead conversion.
AI and numbersEvidence had to become readable
AI referral revenue, attribution rows, reporting truth, and proof that a buyer can inspect.
Proof files
Choose the case closest to the leak.
NDA-safe proof should make the next step more obvious: proof file, matching service page, or Conversion Second Opinion.
$748
ChatGPT Shopify referral revenue
Tracked Shopify sales from ChatGPT-labeled referral traffic with cropped attribution proof.
+703%
Luxury Judaica Shopify PMax
Core category impression growth after feed restructure, brand isolation, and product-level asset groups.
−41%
Ecommerce ad waste cut
Budget moved away from low-value traffic and back toward buyers the store could actually convert.
Leads
Construction roofing website lead system
Local visibility, conversion structure, qualifying intake, and trust signals built into a working lead path.
3
Service business CSO implementation
The written diagnosis gave the internal team enough direction to make the next commercial fixes.
Launch
Shopify first sales pre-launch
Store, feed, Merchant Center, campaign architecture, and tracking were built before traffic became the test.
3 markets
Ecommerce multi-channel architecture
Google and Meta built as independent acquisition systems instead of one blended report.
4 markets
Luxury streetwear Meta multi-market
US, EU, Israel, and Canada split into independent structures before creative or budget decisions.
written read
SaaS B2B pipeline diagnostic
Marketing-to-sales handoff rebuilt around the buyer profile the sales team could historically close.
Visual proof system
High-end visuals. Still evidence-first.
The imagery carries the same homepage tone, but the claim still has to come from the proof file, screenshot, metric, or sanitized diagnostic structure.
Where proof should send you
Use the closest proof, then start with the diagnostic.
If the proof looks close to your situation, the next step is a written read on the problem across page, account, numbers, offer, and follow-up.
Conversion Second Opinion
Use when the leak crosses more than one layer.
Start here →
CSO sample
See the sanitized structure of the written diagnosis.
See sample →
Google Ads route
Use when the problem is spend quality and revenue accountability.
View service →
Website route
Use when traffic exists but calls, quote requests, or forms do not.
View service →Before contact
Questions buyers ask first.
Are these public case studies?
They are NDA-safe proof files. Identifying details are removed, but the commercial pattern, diagnostic finding, intervention, and available metrics are preserved.
What should I look for first?
Look for the leak closest to yours: wasted spend, traffic without sales, weak website leads, AI referral revenue, multi-channel architecture, or an internal team implementing a written diagnosis.
Do these results guarantee the same outcome?
No. They show diagnostic patterns and proof logic, not promised outcomes. The right next step is a diagnosis of your account, site, store, numbers, offer, and follow-up path.
What happens after reading a result?
If the pattern matches your problem, route to the relevant service or start with the Conversion Second Opinion when the leak crosses more than one layer.
Next step
Begin with the diagnosis. Not another proposal.
Send the URL, account, store, funnel, or decision that should be producing revenue. SC reads the leak and names what should be fixed first.