| Course | Evergreen Ads + Upsells (Rapid Launch Kit, Creating Ad Images, Retargeting Ads) |
| Creator | Zac Hansen |
| Format | 4 videos (51m 57s) · launch kit as PDF + DOCX · image guide PDF · retargeting PDF · 16 files |
| Level | Intermediate — you need an offer, a sales page and access to Ads Manager |
| Core promise | Long-form Meta ads that pre-sell the click and keep running for months |
| Our take | Unpolished but unusually transparent — you see every correction, not just the finished ad |
1. Why the ad does the selling · 2. The system as a diagram · 3. Worked example: the writing session · 4. Campaign settings table · 5. Image workflow · 6. Index map · 7. Self-test · 8. About the creator · 9. Verdict
Why the Ad Has to Do the Selling Now
The short answer: buyers have become harder to convince, so the ad has to finish most of the persuasion before anyone lands on your page. Zac doesn’t put this on a slide — he writes it into the very ad he builds on camera.
His diagnosis has three parts. First, the AI wave of ChatGPT images and AI-built offers means more competition than ever. Second, buyers now run a new filter in their heads — “can AI do this for me, or do I really need to buy this thing?” Third, many have already bought a course that taught an over-complex method, “more hair ripping than profitable”: toggles and dials in Ads Manager, cloning ad sets and hoping something triggers, generic AI fluff, all while Meta takes “more than his fair share.”
Against a buyer like that, a short ad and a pretty image produce clicks, not customers. So the Evergreen Ads answer is length: pain, insight, offer, bonuses and a guarantee.
“I don’t expect people to read this entire thing, but I want them to scan enough so that they’re pre-sold by the time they hit the page.” — Behind the Scenes of Me Writing Ads For This Offer
A second consequence shows up in the setup lesson. Zac says the algorithm is now “so darn good” at finding buyers if you follow the Evergreen Ads process, because Meta reads your ads to target. The long copy is also your audience definition — which is why his targeting stays light.
The Evergreen Ads System as a Diagram
The whole method is a straight line with one hard rule: nothing goes into Ads Manager until the ads and images already exist in your document. Here is the sequence the four lessons describe, from offer to hands-off running:
sales page + testimonials
AI drafts, you steer
ChatGPT base, Ideogram variations
1 campaign, 2 ad sets
first buyers fire the pixel
3 days, then months of runtime
Steps 1–2 happen in the 28-minute writing session, step 3 in the image videos, steps 4–6 in the setup walkthrough. The end state is the “evergreen” part: Zac’s claim is that ads which perform with the right images can run three to six months.
Notice what’s missing: no audience research phase, no lookalikes, no daily optimisation loop. That follows from the premise that the copy does the targeting. For a media-buying angle, see our Mr Paid Ads media buying review.
Worked Example: Replaying Zac Hansen’s Ad-Writing Session
The behind-the-scenes lesson is a single unbroken working session on a real offer — the Evergreen Ads Rapid Launch Kit itself. Because it’s unedited, you can follow every decision Zac Hansen makes and, just as usefully, every point where he overrules the AI. Here it is reconstructed stage by stage:
| Stage | What happens on screen | The lesson inside it |
|---|---|---|
| 1. Load the bot | Opens his custom-trained ad bots (built on Claude models, which he rates above ChatGPT for this job) and pastes the sales page plus any client testimonials | The AI only knows what you give it |
| 2. Questions first | Makes the AI ask him questions before any output, answering out loud with a dictation tool | Better inputs, better first drafts |
| 3. Steal a real line | Pulls a complaint from his Facebook group — a CPA that went from $32 to $87 — as a dialogue-line hook, then sets a target of five more | Hooks come from buyers’ words, not brainstorming |
| 4. Reject the angle | The AI’s draft says ads “work for three days” then tank, and that “the algo knows” how to find buyers — he flags that transition as off-message | Every line must serve the product’s core belief |
| 5. Write the pain story | Types the AI-wave, “can AI do this for me” and over-complex-course paragraphs himself, then a credibility line and “I realized a profound truth” — and leaves the rest blank | You supply the insight; AI supplies the connective tissue |
| 6. Hand back and redirect | Asks “can you fill the rest out?”, then asks for a version focused on creative and pre-sold buyers; the AI rewrites everything and he cuts what doesn’t fit | Expect to “strong-arm” the output |
| 7. Catch the fiction | Spots a story the AI simply invented and deletes it; adds the bonuses and a PS guarantee | Never ship an AI anecdote you didn’t live |
| 8. Multiply | Spins the finished ad into hook variations: “Fire your overpriced ad agency,” ads dying every three days, “You’ve got to babysit the ad account 24/7” | One strong body, several openings |
The credibility line in stage 5 is Zac’s own claim about his track record: years of running ads that, in his words, turned over 30,000 strangers into buyers and made millions for himself and clients. He writes it himself rather than letting the AI phrase it.
The time cost is honest too: an earlier session of around 30 minutes plus this refresh at about 20 — roughly 40 minutes in total, with one of his kids waving at the camera halfway through.
Three Habits to Copy From the Session
- Draft first, then ask for a critique. Zac gives the AI his rough version and asks what’s wrong or could be better, instead of asking it to write from zero.
- Keep a swipe file of buyer complaints. One group comment became the opening hook; the job after that is finding five more.
Campaign Settings Decision Table
Every setting in the Rapid Setup lesson comes with a reason. Here they are in one place, with the condition under which Zac would do it differently:
| Setting | Zac’s choice | Why / when to change it |
|---|---|---|
| Structure | One Sales campaign per offer, named after the offer | Keeps the account minimal and clean |
| Budget & bid | $50/day (entered as 65 in his Canadian-dollar account), highest volume or value | Convert to your account currency |
| Ad set A | Broad, no interests, named with the launch date | The copy does the targeting |
| Ad set B | Duplicate, “slightly narrow”: advertising, online advertising, business, entrepreneurship, small business | He keeps it big because he has pixel data; starting from scratch, narrow further (e.g. personal development) and aim under 100 million |
| Locations | A saved bulk list of core countries picked from where his sales come from, with Europe added in full | Best CPAs and scale potential for him; may switch to worldwide once sales flow |
| Demographics | If you sell to one narrow group (his example: women 30–65+), tick “further limit the reach” | Stops Meta’s AI drifting; test Advantage+ later as buyers accumulate |
| Format | Flexible, with several copy versions, headlines and 10 images and videos | Choose single image/video and duplicate per creative for more control |
| Headlines | Reused top performers from old ads, e.g. “Sell strangers before they hit your page” | Headlines talking about ROAS “always work the worst” for him |
| Naming & URLs | Ads named “V1” plus the offer name; URL parameters skipped | “I don’t worry too much about this” |
| After publish | Email the offer to his list the same day, then walk away for three days | First buyers trigger the pixel |
“This is not about choosing like the 100% best audience size anymore. I just don’t think that’s the way to do it.” — Rapid Setup
The Snags He Hits Live — and the Fixes
Because the setup is recorded in one take, you get the troubleshooting most courses edit out. He double-checks that the right pages are selected — he once got it wrong for a client “and it was not fun.” Long copy gets cut off in the ad editor, so he pastes finished text and never edits inside Ads Manager.
The only real error comes at publish: targeting options unavailable for young people, triggered by one country in his list (Singapore). The fix sits under “show more controls” — raise the minimum age to 20. Few 18-year-olds buy an ads offer anyway, he notes.
The Image Workflow: From One Screenshot to a Stack of Variations
The two image lessons answer one question: how do you get ten usable ad images without a designer? Zac’s answer is to model, not invent — find an image that already works and have the AI adapt its style to your offer.
The Demo Prompt, Rebuilt
A group member asked how his images were made, so he scrolls his feed, passes on a few candidates — one with a face feels “too real” — and screenshots a social post he likes. Then he pastes it into a paid ChatGPT account:
“I want you to model this style of image for my own offer called Mid Ticket Workshops. Make sure you use greenish, dark green colors.”
Text in image: a headline, then bullets such as “Sell first, build later” and “Validate with $150 ad spend” — three to five maximum.
Follow-ups: make it square · “can you add in a few offer components with the bullets”
Keep colour instructions short — a full palette, he finds, “breaks it.” After one back-and-forth he judged the result usable for a story-driven ad. He admits most people can tell these are AI images; the text on them is what makes them catchy.
Multiplying the Winner
The second video fixes ChatGPT’s weak spot: speed. Zac built his base image in about five minutes, but waiting for dozens more was the problem.
“I’m just impatient. I don’t have time to sit around and wait for ChatGPT to create me 30 images.” — Creating AI Images
- Upload the ChatGPT image to Ideogram and click Describe — or, to save the subscription, ask ChatGPT to describe it.
- Edit the description: in the demo, a large white dollar sign becomes a Meta ad image with a mouse-cursor arrow, and the headline placement changes.
- Switch the aspect ratio to square and generate.
- Take any image with garbled text to Canva — his demo produced a “pre-sell buyers before they hit your sales page” headline that needed tidying.
Evergreen Ads Index Review: Where the 52 Minutes Go
The file-by-file list lives on the product page. Here is the shape instead: 16 files, 350.56 MB, four videos totalling 51m 57s. Launch Kit videos take about 80% of the runtime; Retargeting Ads is a PDF plus a links file, not a video.
Course Map: Open the Files in This Order
The folders are numbered with Rapid Setup inside the Launch Kit, but Zac’s own rule says don’t touch Ads Manager until ads and images are ready. So we’d work through the bundle in this order:
- Evergreen Ads Launch Kit (PDF or editable DOCX) — the working document, including the Evergreen Ads Framework section where the example images live.
- Behind the Scenes of Me Writing Ads For This Offer — watch with the document open and write alongside.
- Creating AI Ad Images — Doc plus its PDF — build your base image.
- Creating AI Images — multiply it into variations.
- Rapid Setup — only now, with everything ready, build the campaign.
- Retargeting Ads PDF — read once the first campaign is live.
Self-Test: Could You Launch This Campaign Tomorrow?
Six questions, every answer taken from the lessons. Decide first, then open the answer. Miss two or more and the course will fill real gaps for you.
1. What goes into the AI before it writes a single line?
The offer’s sales page and whatever client testimonials you have — plus an instruction that the AI must question you before it writes.
2. The AI’s draft says “the algo knows how to find buyers.” Keep it?
No. Zac rewrites it because the core of the product is that the creative matters most, not the algorithm.
3. How many ad sets, and how do they differ?
Two. A broad set with zero interests, and a duplicate that adds a handful of advertising and business interests, ideally keeping the audience below 100 million.
4. You only sell to women aged 30–65+. Which control matters?
“Further limit the reach of your ads,” so Meta’s AI doesn’t expand far beyond the demographic you chose.
5. Publishing fails with “targeting unavailable for young people.” Fix?
Open “show more controls” and set the minimum age to 20 for the country causing it.
6. What do you do right after you hit publish?
Email your list about the offer on launch day so the first buyers fire the pixel — then leave the campaign alone for three days.
About the Creator: Zac Hansen
Zac runs ads for his own offers and for clients, does ad “installs,” and offers to write ads and build offers for buyers who want it done for them. He runs a Facebook group and a community with custom-trained AI ad bots. In his own ad copy he claims years of running ads that turned over 30,000 strangers into buyers and made millions for himself and clients. He records between family moments — his kids make cameos. Signature line: “I just like to take a little bit more manual control myself and just really make it pop.”
How to Get Evergreen Ads + Upsells in 4 Steps
Paid Ads
Zac Hansen — Evergreen Ads + Upsells
A live ad-writing session with AI, a click-by-click Meta campaign build, a two-tool AI image routine and a retargeting guide — packaged with the Evergreen Ads Launch Kit document.
- Evergreen Ads Rapid Launch Kit — launch kit document (PDF + DOCX)
- Behind the Scenes of Me Writing Ads For This Offer — 28m 05s
- Rapid Setup — campaign build in Ads Manager, 13m 43s
- Creating Ad Images — ChatGPT and Ideogram videos + PDF guide
- Retargeting Ads — long-form Evergreen Ads PDF + links
What to Pair With Evergreen Ads Next
The bundle covers copy, images and one campaign build. Depending on where your gap is, these catalog titles extend it:
- More ad copy to model: Mark William — 7-Figure Facebook Ad Copy Templates
- A deeper retargeting layer: Maria Wendt — Ads Accelerator: Our Retargeting Strategies
- More from Zac Hansen, on the offer side: The Productized Community
- More from Zac Hansen, on the business side: Build a Coaching Business on Your Own Terms
If scaling a campaign once it works is your next question, our Facebook Ads That Scale review covers that ground.
- Shows where AI copy goes wrong and how to correct it
- Hooks sourced from real buyer complaints, not brainstorms
- Every campaign setting explained, including when to change it
- Live troubleshooting of real publishing errors
- Fast, low-cost image routine with an optional paid step
- Under an hour of video in total
- Parts of the writing session are hard to follow on screen
- Retargeting is covered in a PDF only, with no video
- Settings tuned to an account with existing pixel data
Evergreen Ads Index Review FAQ
Do I need ad experience for this course?
Some. The setup is a click-by-click walkthrough, but it assumes you already have an offer, a sales page and an ad account. Total beginners will want a basic Ads Manager course first.
How long should the ad copy be?
Long. Zac writes full pain-story ads with the offer, bonuses and a PS guarantee, so readers who only scan still arrive pre-sold.
Is Ideogram required for the images?
No. It’s an optional step for fast variations at about $20 a month. Zac notes that ChatGPT can write the image description instead; a paid ChatGPT account is the one tool the image lessons rely on.
How many creatives go into the first ad?
In the setup lesson he loads 10 images and videos into a Flexible-format ad, together with several copy versions and reused top-performing headlines.
How is the course delivered?
Digital files. Crypto payment only. Fast delivery is handled manually after payment confirmation. Download links remain available for 7 days; save your files locally.
Evergreen Ads + Upsells is small, rough around the edges and more useful than its runtime suggests. Its real value is watching a working advertiser argue with an AI and win: rejecting the wrong angle, deleting an invented story and multiplying one strong body into several hooks. The setup and image lessons then turn that copy into a live campaign in an afternoon. If your offer page is live and your ads keep dying within days, this is a direct fix.
Get it through Courses On Budget and write your first long-form ad this week.
Browse the category: Marketing Courses · Marketing Courses Cheap List · Marketing Reviews
Platform used in the course: Meta Ads Manager
Recommended course stack:
