CloudWise Academy
Lew Kizer, founder of Smash Meals, in the company kitchen
Lew Kizer Founder, Smash Meals · the real business behind the course

AI marketing courseware for professors

Teach advanced AI marketing through a real business that changed in public.

CloudWise gives marketing professors ready-to-adopt lessons, assignments, assessments, tools, and a longitudinal business case—so students learn current AI marketing by doing the work.

Designed to fit an existing marketing course or support a complete applied program.

31 monthly Gross Revenue records across the preserved business journey
3,652 marketing assets with dates, channels, content, and available metrics
981 Facebook audience observations in a detailed follower timeline
66 Google reviews customer language, ratings, replies, dates, and available media
49.11% first-half year-over-year Gross Revenue growth in 2026

Final video supplied before production

Begin with the person

Before the chart, students meet Lew.

Marketing felt expensive, complicated, and difficult to sustain. Lew describes moving away from perfection and toward a consistent practice he could operate from his phone—while running the rest of the business.

“Going from trying to make it perfect to just making sure that it was presentable… changed my life a lot.”Lew Kizer · preserved owner narration

This is not a polished fictional case. Students begin with a business owner’s lived experience, then learn how to test the story against the evidence.

The measured business record

A result students can examine—not simply repeat.

The course keeps comparable periods, metric definitions, owner narration, and analytical interpretation visible so students learn what the numbers say and what they cannot prove alone.

49.11%

More first-half Gross Revenue.

Smash Meals recorded $195,695.99 during January–June 2026, compared with $131,245.58 during the same period in 2025—an increase of $64,450.41.

How the case is taught: Lew’s account explains the change in his marketing practice. The preserved records show what happened in the business. Together they create a case students can investigate; they do not prove that one factor caused every additional dollar.

988 days of preserved audience history beginning October 31, 2023
43 definitions explaining what each captured metric counts and how it should be read
$300–$400 in prior monthly paid-social spending described by Lew
About one hour for the daily marketing routine Lew says he now operates
Real customer language used to study later stages of the buying journey
Real published work connected to channel, date, content, and available response evidence

What students learn

Marketing judgment for the AI age.

Students do more than operate tools. They learn to ask better questions, create relevant work, examine response, and explain the next marketing decision.

01

Customer and audience research

Find the people, needs, language, and evidence that should shape the marketing.

02

Brand strategy and messaging

Translate business identity and customer understanding into a recognizable voice.

03

The customer buying journey

Connect attention, interest, engagement, action, conversion, and sharing.

04

AI-supported content systems

Use modern tools with structure, human review, and a sustainable publishing method.

05

Websites and campaigns

Turn strategy into useful marketing assets rather than isolated classroom exercises.

06

Marketing analytics

Start with a hypothesis, examine fit-for-purpose evidence, and state conclusions carefully.

07

Responsible AI practice

Make decisions about data, accuracy, originality, oversight, and quality.

08

Portfolio-ready work

Leave with artifacts and explanations that demonstrate what the student can do.

The learning journey

Students move from observing the case to acting on evidence.

The structure keeps early work supported, then gives students greater responsibility as their marketing and analytical judgment grows.

Meet the business. Understand Smash Meals, Lew’s experience, and the question behind the evidence.
Learn the framework. Use the Market Power Marketing Strategy and customer-centered buying journey.
Investigate evidence. Read real revenue, audience, content, and customer records with guidance.
Use AI professionally. Apply structured prompts, tools, review, and responsible working practices.
Build marketing work. Create campaigns, content, websites, research, and recommendations.
Explain the decision. Connect the evidence, output, limitations, and next marketing action.

What professors receive

A teaching system—not another folder of AI links.

Use the ready structure, edit it for your course, and retain your judgment about pacing, emphasis, assessment, and student support.

01
Ready lessons and presentations

Clear instructional sequences with real examples and professor-facing guidance.

02
Guided demonstrations and walkthroughs

Show the process while students work inside current AI and marketing tools.

03
Assignments, assessments, and rubrics

Evaluate both the finished work and the reasoning used to create it.

04
Real datasets, reports, and dashboards

Give students evidence they can inspect rather than simplified fictional totals.

05
Instructor notes and answer guidance

Clarify the teaching purpose, likely misconceptions, and quality expectations.

06
Editable course structure

Use selected modules, reorder the journey, or build the complete experience.

07
Faculty onboarding and implementation support

Prepare the professor to teach the course without needing to become an AI engineer.

08
Maintained examples and tools

Keep the teaching experience connected to a fast-changing professional field.

A living case study

The business owner behind the course wants to meet your students.

Lew’s second video welcomes the class, explains how much they can learn from the Smash Meals journey, and lets students know he looks forward to engaging with them.

The case does not end when the chapter closes. Students learn from a real person, a real operating business, and a growing record of marketing decisions and results.

Final video supplied before production

Ways to adopt the program

Start where your course needs it.

The same courseware foundation can support a focused update, a complete class, or a deeper applied experience with real business work.

Focused integration

Add selected modules

Add AI marketing, analytics, content, or applied casework to an existing course.

Review module options
Applied classroom

Run an applied marketing studio

Organize the course around teams, real deliverables, evidence reviews, and professional workflow.

Plan the studio
Advanced experience

Supervised business projects

Connect qualified students to defined work with businesses and structured faculty oversight.

Discuss project options
ETSU and CloudWise faculty partnership

Professor-guided, publicly documented

Students used AI marketing tools to create websites, refine messaging, improve social engagement, and support go-to-market strategies for local companies.
ETSU College of Business and Technology and CloudWise Academy partnership

For marketing professors

Bring advanced AI marketing into your course without building it all yourself.

Start with your existing course, the students you teach, and the kind of modern marketing work you want them ready to perform.