The AI layer, your portfolio, and getting hired
Where AI fits — and where you'd better not let it
AI is now table stakes in marketing execution: ChatGPT/Claude for ten subject-line variants, ad copy versions, email drafts, audience-research summaries ("what objections do homeowners have about metal roofs?"), and turning a client's rambling voice note into a campaign brief. Use it exactly there — volume and first drafts — and your output doubles without your hours doubling.
What stays yours, permanently: offer judgment (AI will happily write beautiful copy for an offer nobody wants — it can't tell you the $99 audit should be a free checklist), claims accuracy (it invents statistics and "award-winning" credentials; on US ads, made-up claims are a legal problem, not a style problem), and numbers accuracy (never let AI compute or summarize your report data unchecked — it transposes digits with total confidence).
The AI-honest workflow
Do
- Generate 10 ad-copy variants, then pick two and rewrite them in the brand's voice
- Use AI to summarize competitor pages and review-mining for objection language
- Draft flow emails with AI, then verify every claim, price, and link by hand
- Tell clients you use AI for drafts — paired with your review process, it's a selling point
Don't
- Paste AI stats or testimonials into ads (fabricated claims = platform bans and legal exposure)
- Let AI write the weekly report numbers — it will eventually be confidently wrong
- Ship copy you haven't read aloud once; AI fluency isn't brand fluency
The portfolio: one full mock campaign
You've built the pieces in every lesson; now staple them into the artifact that gets interviews. One invented business, one coherent campaign, presented as a single folder:
Getting hired in this lane
Platforms: OnlineJobs.ph for direct US employers (complete profile, portfolio link in the first line of every application), Upwork for project-based entry. Position by execution stack and niche, not by the empty word "marketing": "Email + paid ads execution for home-services companies" beats "digital marketing VA" in every queue. First-client path: the free plumbing/landing-page audit from lesson 4 — three specific findings, one-page fix plan, offered conversion to a monthly execution retainer. Payments: Wise or Payoneer for direct clients; agree the rate in USD.
"I run marketing execution for [niche]: email flows in Klaviyo/Mailchimp, Meta and Google ads support, landing-page and tracking hygiene, and a weekly numbers report you can trust. Here's a full mock campaign showing exactly how I work: [link]."
Failure modes: how VAs die in this lane
(1) Selling "strategy" with no wins — you get hired on the promise and fired on the first vague deliverable; sell execution until your reports have earned the strategy seat. (2) A wrong number in a report — the trust wound that never fully heals; recount before sending, every time. (3) UTM and tracking chaos — three months in, nobody can prove what worked, and the person who "handles marketing" wears the blame. (4) Unreviewed AI output shipped under your name — one invented claim in a live ad can end the engagement same-day. (5) Vanity reporting — celebrating impressions while the client quietly counts leads; report the number they feel, or someone else will.
Do this now
Twenty-five minutes. Assemble the mock campaign: create a folder titled [Your name] — Marketing Execution Portfolio, pull in your artifacts from lessons 2-5 (welcome flow, ads cheat-sheet scan message, landing-page audit, weekly scorecard), and write the missing connective tissue — the one-page brief and the UTM scheme. Record the 3-minute Loom kickoff walkthrough. Put the positioning script at the top of the folder as your README.
Then open the PHVA platform's Events page and register for the next live training. Bring the portfolio link — priority placement reviews start from exactly this packet, and a full coherent campaign is rarer in application piles than you'd believe.
Tip: use your ← → arrow keys.