Hooks, angles, tracking, iteration: every step of Meta ads, automated

Hey vibe marketer.

Are you still running Meta ads the old way? Hours lost inside Ad Library, chasing “inspiration” on TikTok, cranking out copy by hand, cleaning endless CSV exports. By the time you spot what’s working, the budget’s already burnt.

The best media buyers aren’t doing that anymore. They’re building smart AI ad workflows and agents that spy on competitors, decode the hooks that actually stop thumbs, spin every pain point into 7 angles, benchmark results daily and auto-generate briefs from winning ads.

Meta ads don’t fail because of targeting. They fail because creative goes stale, insights show up late and iteration dies in a Google Doc.

These 4 workflows flip that script by turning ads into repeatable playbooks you can scale without wasting time or money.

4 vibe marketing tools worth checking out

1. Spy on competitors and uncover proven ad patterns

When you’re gearing up to run ads in your niche, the first instinct is clear: figure out what’s already working for your competitors. Go through dozens, sometimes hundreds of creatives, each with different hooks, formats and run times. You’re stuck clicking through Meta Ad Library, grabbing screenshots one by one, pasting them into a doc, and trying to reverse-engineer patterns by eye.

Is this ad running because of the hook? The headline? The visual style? You don’t know.

It’s long. It’s manual. Hours later, you’ve got a bloated doc full of screenshot, but not a repeatable playbook you can actually use.

So, the Boring Marketer built this agentic research assistant that scrapes, opens and watches competitor ads for you. It doesn’t just collect them — it tells you why they’re working and distills them into reusable frameworks.

Here’s how It Works

• Apify scrapes ad libraries for your chosen brand or keyword

• Playwright MCP actually opens the videos/images, like a human would.

• Claude summarizes the patterns: visual motifs, hooks, overlays, CTA types.

• You get an executive summary + tactical deck you can act on today.

What used to take 6 hours of scrolling now happens in minutes. And instead of screenshots, you walk away with a competitor playbook you can plug straight into your own creative briefs.

See the agent in action.

2. Decode winning hooks that boost clicks and view duration

Once you know the patterns, the next step is building the front line of your own ads: the hook. Because if first few seconds of the ads flop, the rest of your ad never gets seen. And ads that print money always have a good hook strategy.

The problem is most marketers recycle the same generic openers, scroll TikTok or Instagram for “inspiration, copy a few lines from viral ads or guess what might land. But a real hook is engineered to make your ICP stop, recognize their own problem and lean in.

Mike Futia has built Meta ads analysis for media buyers like himself that will automatically scrape ads in your niche, run them through AI video analysis and classify every creative into Hook / Proof / Theme buckets. Now you know exactly what captures attention, what builds trust and what keeps viewers watching.

And, here’s how It Works

• Airtable stores scraped TikTok ads (via Apify).

• n8n automates the trigger and pipeline.

• Gemini literally “watches” the video and extracts hook moment, proof point, and theme.

• Outputs structured columns: Hook | Proof | Theme inside Airtable.

With this system, you don’t you extract reusable building blocks of ads that directly power higher CTRs and longer watch times.

Watch Mike's visual analysis system.

3. Turn customer pains into unique angles that drive conversions

After nailing your hooks, the real battle moves to angles. The pain points you choose to attack. Because cold traffic isn’t won by clever targeting anymore. It’s won by whether your ad hits the right frustration, desire or enemy in your ICP’s head.

Key lies in testing various angles simultaneously to understand which angle resonates with the ICP. And, 2 or 3 generic variations burn time and money.

John Tay tackled his biggest Meta ads bottleneck: creative testing.

He built an n8n system that generates 7 cold-traffic ads (copy + visuals) based on battle-tested emotional angles:

• Pain

• Enemy

• Curiosity

• Cost Framing

• Before/After

• Switch Trigger

• Identity

This workflow helps mapping each ad to a proven emotional angle, so you’re not just testing random variations, you’re systematically pressure-testing which story resonates hardest with your ICP.

It works like this:

• Input: ICP, pain point, and a sample brand visual.

• AI extracts brand style (colors, fonts, tone).

• Loops through 7 proven frameworks: Pain, Enemy, Curiosity, Cost Framing, Before/After, Switch Trigger, Identity.

• Generates ad copy + visuals for each angle.

• Outputs a Google Sheet of 7 ads + Drive folder with images.

With this workflow you get to run structured experiments across validated emotional levers. You don’t just find a winning ad and discover the winning pain point, then double down where it matters.

Cost per full 7-ad run? ~$1.40 Time taken? ~10 minutes.

Check out his creation here.

4a. Track performance automatically and spot winners fast

Once your ads are live, the bottleneck shifts from creation to measurement. Without clear performance signals, you’re left second-guessing spend decisions and wasting budget on ads that should’ve been cut days ago.

That’s the problem most media buyers run into: endless CSV exports from Ads Manager, hours cleaning messy sheets and no reliable benchmark to judge creative performance against. By the time insights appear, the money’s already gone.

This n8n workflow by JJ Tham eliminates all the grunt work.

How it works

• Auto-refreshes long-term Meta tokens.

• Pulls campaign/adset/ad data daily.

• Cleans duplicates and computes account averages (CTR, CVR, ROAS, AOV).

• Sends data to an LLM for classification + recommendations.

• Updates a Google Sheet with performance tags and justifications.

So, no more late insights or manual reporting. Winners are spotted immediately, and you can double down before competitors catch up.

Well, there is more to it…

4b. Turn your high performing ads into repeatable creative briefs

The workflow that JJ Tham built doesn’t just track performance but translates that into insights and loops it back to ad brief when you want to double down on ad variations. So, this workflow also extends to taking what worked and multiplying it into new, high-performing variations.

No more lazy tweaks like: a headline swap here, a color change there.

How it works

• Extracts source files (video/image) for top-performing ads.

• Uses Gemini to analyze hooks, transcripts, captions, focal points, and layouts.

• LLM generates new ad concepts: hooks, VO lines, design briefs, hypotheses.

• Outputs structured briefs in Sheets + a ready-to-share HTML/email recap.

The result is a closed creative loop. Every winning ad becomes the seed for three more, each backed by data instead of guesswork. Creative iteration stops being subjective and starts being systematic.

Miscellaneous Vibes

Here are some other things we have on our radar.

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