Research
Customer language, competitors, search intent, market signals.
Cal Lutheran · Oct 20 · SWEN 101
Connect with Steven ↗Marketing in the AI Era
A practical field guide for future marketers who want to turn “I haven’t done this before” into work they can show.
The AI-native mindset
Great marketers do not hand their thinking to a model. They use AI to research faster, make a stronger first draft, identify options, and spot patterns—then apply the customer judgment, taste, ethics, and accountability that the work still demands.
What entry-level work actually touches
Most junior roles are not one thing. They ask you to connect customer understanding, a message, a channel, the operating setup, and a measurable result.
Customer language, competitors, search intent, market signals.
Contacts, lifecycle stages, segments, nurture and follow-up.
Clear value propositions, conversion paths, visual direction.
SEO, social, paid media, landing pages, publishing.
Performance, patterns, recommendations, iteration.
Representative entry-level job descriptions span research, content, analytics, CRM, SEO, paid media, reporting, writing, and technical marketing tools. See an example role description ↗
Job-post decoder
Pick a requirement. Then turn it into a small, interview-ready work sample. You do not need permission to build proof with a fictional brand and synthetic data.
TRANSLATION
It means you can organize contacts, define stages, segment an audience, and support timely follow-up.
BUILD THIS
Create a five-stage fictional pipeline, 25–50 synthetic contacts, two audience segments, and a three-email nurture map.INTERVIEW LINE
“I set up the lifecycle logic, then showed how each segment would receive a different follow-up.”One workflow, all of marketing
AI can accelerate the first pass at every stage. Your job is to provide context, direct the work, check the evidence, and decide what changes next.
Find patterns in calls, reviews, competitors, and search behavior.
Frame audience, offer, message, and a testable hypothesis.
Draft copy, concepts, landing-page sections, and variants.
Set up tracking, CRM logic, routing, pages, and launch checks.
Read the signal: attention, conversion, quality, drop-off, cost.
Turn winning ideas into new tests. Stop work that does not earn attention.
The transferable AI skill is not a magic prompt. It is the ability to create a brief, inspect the output, and move the work to the next useful stage.
The useful boundary
Then own the parts that determine whether the work earns trust, performs, and is safe to release.
Responsible AI
Use approved tools, approved sources, and data you have the right to use.
Never paste client, customer, or employer data into an unapproved AI tool.
Verify claims, calculations, citations, and the source material behind the recommendation.
A named human owns the final decision, customer impact, and result.
This practical check reflects NIST’s view that trustworthiness belongs in the design, use, evaluation, and governance of generative AI. Read the NIST profile ↗
30-day proof sprint
Choose one project—not all four. Use synthetic data. Write a short case study that explains what you did, what you learned, and what you would test next.
Set up synthetic contacts, segments, lifecycle stages, a three-email nurture, and a simple report.
Write a search-intent brief, a page outline, and a human-reviewed content draft for one fictional brand.
Build an audience hypothesis, campaign objective, two concepts, a landing-page CTA, and a success metric.
Use the GA4 demo account to make a one-page analysis: signal, insight, recommendation, and next test.
Reusable prompt patterns
Copy a starting point, then replace the brackets. Do not paste confidential data. Always verify what comes back.
RESEARCH
Act as a marketing researcher. I am evaluating [brand / category] for [audience]. Use only the source material I provide. Identify: 1) repeated customer language, 2) objections, 3) desired outcomes, 4) competitor claims, and 5) questions I should investigate next. Separate evidence from hypotheses.
JOB-POST PLAN
Turn this entry-level marketing job post into a 30-day practice plan. List the verbs, systems, outputs, and success signals. Then propose one safe, fictional portfolio project that proves I can do the highest-value parts. Do not claim experience I do not have.
REPORTING
Review this campaign summary. First list what the data clearly shows, what it does not show, and what assumptions need checking. Then write a concise recommendation with one next test, the metric it should move, and the reason that test follows from the evidence.
Practice environments
Do not collect accounts. Choose one skill gap from a real job post, make a small work sample with fictional or authorized data, then document what you learned and what you would test next.
START HERE — FREE OR LOW-FRICTION
Decode three current roles: repeated skills, weekly outputs, and one project you could build.
Use fictional contacts to practice segments, lifecycle logic, an unsent email, and a success metric.
Turn a fictional brief into options, label assumptions, and human-edit the strongest draft.
Write a three-line readout from real, obfuscated data: signal, insight, next question.
Create one clear social graphic with a headline, event details, approved visual, and CTA.
Plan a mock campaign: objective, audience, creative, CTA, and two metrics—without spending.
EXPLORE AFTER THE CORE
FOLLOW SELECTIVELY — PERSPECTIVE, NOT A REQUIRED CURRICULUM
Marketing School · The Boring Marketer · Perpetual Traffic · Alex Hormozi · Riley Brown AI
Use one primary AI assistant you can access consistently. The transferable skill is how you brief, test, compare, and validate—not which model name appears on your résumé.
The next move
Start with one gap. Complete one project. Write down what you learned. That is how you become easier to hire and more valuable once you are in the room.