Case studies / Privacy-safe work

Marketing & AI Case Studies
from Houston small businesses.

By Marketing & AI · Updated

What kinds of case studies has Marketing & AI published? Privacy-safe reconstructions of local-service websites, ecommerce paths, campaign creative, and engineering content workflows — each one focused on visible decisions and defensible evidence, not private outcome numbers.

These case studies show the problem, key choices, and public work. Read them as evidence of approach and decision quality, not as outcome claims; we leave out private data, internal systems, and claims we cannot prove.

01 / Selected work

Three problems.
Three clear systems.

Each card shows how we approached the work. It does not promise rankings, leads, revenue, or placement.

01Retail + local search

A clearer path from local search to the right appliance.

A privacy-safe look at how local discovery, product paths, and campaign creative can work as one customer journey.

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Campaign system / public creative
Appliance Outlet Texas campaign examples presented on a meeting-room display.

02Local service + web experience

A faster mobile route from service choice to booking.

A privacy-safe look at a local-service website shaped around simple service choices and a short booking path.

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Responsive website / public creative
Immaculate Car Wash website shown on phone and tablet mockups.

03Engineering + content workflow

A clear path from expert source to public content.

A privacy-safe view of a technical content workflow. It shows no client data, private dashboard, or result claims.

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Content workflow / rebuilt example

02 / Disclosure boundary

Enough to understand the craft.
Not enough to expose the client.

Shown: public creative, page choices, workflow ideas, and broad context. The useful proof is what can be inspected on the page; it does not establish rankings, leads, revenue, or placement.

Not shown: analytics, raw reviews, customer data, budgets, private systems, passwords, or performance claims.

Next / Review

Start with the problem.

Bring the goal, the friction, and any evidence you already have. We will begin by deciding what to check first.

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