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 problems Stan Consulting can actually see.
Use these proof files to match the problem to evidence, then choose the service route.
NDA-safe proofmarketing audit pattern retainedproof before proposal
Proof system
Proof. Service 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 weak, what SC checked, what changed, and which page or offer should be the next step.
Written marketing audit sample
What the written marketing audit looks like.
This is a sanitized sample format for the Conversion Audit, not a client case study. It shows the kind of written summary a buyer receives before choosing whether to fix a page, campaign, funnel, offer, or follow-up path.
See the sample marketing audit →
What is broken
What not to touch yet
Next action
What to measure after
Proof to service route
Match the proof file to the next marketing service.
A result page should not leave the buyer admiring a case file. It should show which market-facing service route fits the same business pressure.
PPC / paid ads
Use when the proof points to spend quality, channel choice, landing-page match, or tracking accountability.
Open service →
Websites / conversion
Use when the proof shows page story, form path, offer clarity, checkout, or trust problems.
Open service →
Marketing systems
Use when the proof shows several handoffs need to work together before the owner can trust the path.
Open service →
Marketing consulting
Use when the proof shows vendor, budget, reporting, or owner-decision problems more than one execution task.
Open service →
AI marketing / visibility
Use AI referral and citation proof when search, AI answers, pages, schema, and buyer trust must agree.
Open proof →
What the proof shows
Four places where results had to become commercial.
The page uses the same homepage visual language: gold icons, large proof visuals, dark evidence bands, and direct buyer routes.
Paid mediaSpend had to become buyers
Google Ads waste, Performance Max 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 clear
AI referral revenue, attribution rows, tracking truth, and proof that a buyer can inspect.
Proof files
Choose the closest case.
NDA-safe proof should make the next step more obvious: proof file, matching service page, or Conversion Audit.
$748
ChatGPT Shopify referral revenue
Tracked Shopify sales from ChatGPT-labeled referral traffic with cropped attribution proof.
+703%
Luxury Judaica Shopify Performance Max
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 marketing audit 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 summary.
4 markets
Luxury streetwear Meta multi-market
US, EU, Israel, and Canada split into independent structures before creative or budget decisions.
written summary
SaaS business-to-business pipeline marketing services
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 review structure.
Where proof should send you
Use the closest proof, then start with the right marketing service.
If the proof looks close to your situation, the next step is a written review or service route across page, account, numbers, offer, and follow-up.
Conversion Audit
Use when the problem crosses more than one part of the buyer path.
Start here →
CSO sample
See the sanitized structure of the written marketing audit.
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, marketing audit 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 marketing audit.
Do these results guarantee the same outcome?
No. They show marketing audit patterns and proof logic, not promised outcomes. The right next step is a marketing audit of your account, site, store, numbers, offer, and follow-up path.
What happens after scanning a result?
If the pattern matches your problem, route to the relevant service or start with the Conversion Audit when the leak crosses more than one layer.
Next step
Begin with the marketing audit. Not another proposal.
Send the web address, account, store, funnel, or decision that should be producing revenue. SC checks the leak and scopes the next marketing action.