We actively manage 50+ Amazon Brands...Deliver MILLIONs in profit every year.Stuck at 7 figures? Tried other teams, systems, not getting the results you want ? Run through my content here, YouTube, wherever. Get a deep understanding of what we do. Once you come to the conculsion we are the best team on the market…Book a 20 minute call using the link in my profile.In that call, we will get a DEEP understanding of your business.On that call we will see if we’re aligned. Provided we both feel alignment-My team will spend 5-10 hours of our time confirming through data that we can scale you. Provided that comes back with a green light, we will jump on a second call and run through each lever to pull and every button that I’d reccomend pressing to go to the next level…Then I’ll offer do to do it all for you. Talk to you soon!

Hunter H.

Performance creative infrastructure that helps paid acquisition teams produce, test, and scale ads.⚡️

👋 Hi, I’m Luis Camacho, Founder @ GetAds (getads.co)

We help brands and agencies scale paid acquisition by building creative infrastructure that supports ongoing iteration, testing, and throughput. GetAds is a structured creative production system designed for teams where creative output directly impacts performance.

Our team works exclusively on ad creative. Static, video, UGC, and AI-assisted formats, all built for paid media workflows. The focus is not one-off assets, but consistent creative velocity without the friction of hiring, freelancers, or traditional agencies.

We support brands and agencies across a wide range of industries and business models, from DTC and CPG to B2B services, fintech, biotech, and mental health. If you are running paid ads seriously and creative has become a bottleneck, that is where we tend to be the best fit.

A few words from teams we work with:

“After spending a lot of time and money trying to solve our agency’s creative output problem, GetAds stood out. The quality is consistently high and the system makes it easy to keep creative moving.” - Mike W. ⭐️⭐️⭐️⭐️⭐️

“As an agency owner, having a reliable creative production system matters more than anything. GetAds has become a core part of how we support clients.” - Carlos C. ⭐️⭐️⭐️⭐️⭐️

“GetAds feels deeply integrated into our workflow. The Slack collaboration and consistency over time has made a big difference.” - Jake S. ⭐️⭐️⭐️⭐️⭐️

“We rely on GetAds for B2B creative graphics and video that fit real paid media use cases.” - Josh L. ⭐️⭐️⭐️⭐️⭐️

Side note. Our newest product helps media buyers and creative teams organize, collaborate, and save ad inspiration in one place. If you want to streamline your ad creative workflow, you can sign up for free at getads.co/app.

Want to chat? Shoot me a DM 🙂

Luis Camacho

We ran an experiment: AI spit out 2,300 ad variations in 48 hours. CPAs fell. Repeat purchases dropped 17% in 90 days.

AI can crank volume faster than any human team. It cannot, by itself, protect what makes a brand worth coming back to.

Here’s the ugly truth most agencies won’t say out loud:
AI optimizes for short-term attention patterns. It converges toward platform-safe tropes. Over time that flattens your distinctiveness and erodes brand equity. You win a lot of clicks and lose a little of your future customers every day.

If you care about longevity, humans still must close the loop. Three irreplaceable roles designers play:

1️⃣ The Curator  
↳ Pick the unusual, not the average. Keep distinct signals that humans remember.

2️⃣ The Goldsmith  
↳ Polish AI output into craft. Typography, pacing, tone, compositional decisions matter more than ever.

3️⃣ The Brand Steward  
↳ Protect long-term metrics - repurchase, referral, perception - not just CPA.

How to make this practical:
• Use AI for scale and hypothesis generation  
• Route top candidates to designers for refinement and distinctiveness testing  
• Measure beyond CPA - track retention, NPS, creative uniqueness over time

If you let a stack own your identity, you’ll get efficient and forgettable. Treat AI like a factory - fast, cheap, noisy. Let humans turn the noisy stuff into something people remember.

Found this useful? Like, follow, and repost ♻️

ps. Need a system that pairs AI volume with designer stewardship? We help brands do exactly that.

Unpopular take: Templates are the single biggest thing quietly tanking your ROAS right now.

Yes, they save time. No, they do not scale performance.

Here’s why templated ads are actively hurting your brand and ad results:

1️⃣ They train the wrong algorithmic signal  
↳ When 80% of your creatives look the same, the platform learns “this brand = low novelty.” Delivery drops. You’re competing on sameness, not relevance.

2️⃣ They attract cheap, low-LTV buyers  
↳ Templates optimize for clicks and familiarity. That brings deal-seekers, not loyal customers. Same CPA, wildly different day-90 LTV.

3️⃣ They create false learning  
↳ Templates limit directional insights. When everything looks similar, you can’t tell which hook, story, or persona actually moves the needle.

4️⃣ They erode your brand muscle  
↳ Designers stop experimenting. Strategists stop testing bold ideas. Over time your creative IQ atrophies and you can’t recover quickly.

What to do instead (fast wins):

• Write the headline before the mockup. Copy forces clarity.  
• Build 5 persona-specific variants, not 1 universal template.  
• Vary signal-level elements: hook, framing, lighting, CTA — small tweaks compound.  
• Measure cohorts, not just CPAs. Track LTV and retention by creative.

If you want cheaper clicks or prettier templates, keep templating. If you want a brand that scales profitably, stop being addicted to one-size-fits-all creative.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Stop putting shiny 5-star blurbs in your ads. They’re killing resonance.

Here’s the real secret most brands ignore: the reviews that convert are not the ones that praise you perfectly. They are the ones that argue with you.

Why the messy reviews win in paid acquisition:


1️⃣ Contain built-in objections

↳ 3 and 4-star reviews surface doubts in the customer’s own words. Use those words to pre-handle objections in creative and watch CTR + quality increase.


2️⃣ Reveal true hooks, not marketing speak

↳ Customers describe outcomes in ways you would never write. Copy those exact phrases into headlines and captions for instant resonance.


3️⃣ Power sequence-based journeys

↳ Run a skeptical review as your first touch, an explainer as your second, and a 5-star as the close. The algorithm learns a believable path, not a single “hero” ad.


4️⃣ Scale micro-personas fast

↳ Tag reviews by theme - convenience, durability, results - then build 5-7 quick variants per theme and map to audiences. Small library. Big variety.


How to implement in 72 hours:


• Export reviews and cluster by theme

• Pull 6-8 verbatim lines per theme for hooks

• Build 5–7 creatives per theme (skeptic → product → proof)

• Feed into dynamic creative + run in controlled batches


Controversial but true: polished praise sells to people who already trust you. The noisy, imperfect reviews sell to the rest.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

AI will make ads cheaper. It won’t make brands cheaper.

Here’s the uncomfortable truth: the algorithm rewards predictability. It loves patterns. It learns your ad language and then amplifies what’s easiest to classify. That’s great for scale. Terrible for brand resilience.

If you want a brand that survives AI-era advertising, stop optimizing solely for what the model likes. Build for what the human remembers.

Introducing the Brand Immunity Stack — a playbook for resilient brands:

1️⃣ Identity Anchors  
↳ Pick 3 repeatable brand motifs (toneline, visual tag, confession script). Remix them across formats so people remember you even when the algorithm forgets.

2️⃣ Controlled Unpredictability (Shock Loops)  
↳ Run small, low-budget tests that intentionally break your pattern. Different voice, weird visual, unexpected CTA. These force the model to learn new user-brand matches and prevent creative overfitting.

3️⃣ Journey Signals, Not Single Ads  
↳ Design sequences people can follow. Teach the algorithm through paths: tease → teach → prove → convert. The system will stitch the journey only if you supply varied touchpoints.

4️⃣ Owned Narrative Data  
↳ Capture micro-conversions (video watches, micro-form fills, DMs). Build first-party signals the AI can’t borrow from competitors.

Controversial take: scaling only your “winner” creative is the fastest way to make your brand irrelevant long-term.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Killing an ad after 48 hours is not decisive. It’s careless.

Too many teams axe creative before they’ve run the proper diagnostics. Before you bury a “loser,” run this pre-execution checklist to avoid throwing away a potential winner.

1️⃣ Is it past the learning slope?
↳ If the ad hasn't moved through the algorithm's 72-96 hour adjustment window with stable budget signals, it’s still learning.

2️⃣ Placement parachute test
↳ Run the creative across 3 placements (Reels, Feed, Stories). If it flops everywhere, it’s offer or audience. If it wins on one, scale that placement.

3️⃣ Creative correlation heatcheck
↳ If multiple creatives fail simultaneously across the same audience, the problem is audience or timing, not the visual.

4️⃣ Micro-conversion signal
↳ Low purchases but rising add-to-carts, link clicks, or view-throughs? The ad is qualifying traffic. Fix the offer or landing experience, don’t kill the creative.

5️⃣ Frequency vs fatigue
↳ Frequency >3 with falling CTR is fatigue. But low frequency with low CTR is an attention problem. Fix cadence first.

6️⃣ Audience overlap audit
↳ High overlap causes internal cannibalization. Segment your audiences before scrapping assets.

7️⃣ Quick resurrection test
↳ Move the creative into a fresh audience for 48 hours. If performance improves, you just found a new angle, not a dud.

Killing creatives is easy. Deciding strategically takes discipline.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Stop hiding unhappy customers. Start running ads with them.

Real customer moments — the raw unfiltered videos, angry comments, confused DMs — are your most efficient performance creative. Positive moments convert. Negative moments qualify.

Here’s how to use them, bluntly and systematically:

1️⃣ Capture the moment
↳ UGC, customer service clips, voice notes. Capture sentiment, platform, persona. Store with metadata.

2️⃣ Reframe, don’t fake
↳ Edit to add context, then pair with your solution. Example: “It leaked once. Here’s why it won’t again.” Honesty + fix = trust.

3️⃣ Run polarity tests
↳ Same story, two endings: positive outcome vs tough truth. Measure CPA, CTR, and 30-day LTV. Negative-first ads often reduce returns and increase LTV.

4️⃣ Use complaints to pre-qualify
↳ Put limitations in creative. “Not for heavy daily runners” filters deal-seekers and attracts ideal buyers.

5️⃣ Build permission loops
↳ Reply publicly, then turn the exchange into a testimonial ad. Shows you listen and iteratively improve.

Why this works
→ Raw moments prove you’re real. Algorithms love authenticity. Customers prefer vetted expectations over polished promises.

Controversial take: polished perfection sells once. Imperfect truth builds a sustainable business.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. Want a system that captures and tests customer moments at scale? We build those.

Stop A/B testing your brand into extinction.

Performance teams often chop up brand cues to chase clicks. That makes your ads easy to ignore and impossible for the algorithm to stitch into a coherent journey.

Here’s why maintaining brand integrity in performance creatives is not optional — it’s strategic:

1️⃣ Brand fingerprints give the algo anchors  
↳ Consistent micro-elements - color, logo lockup, VO cadence - let Meta sequence your ads into a narrative, not random shots.

2️⃣ Cohesiveness pre-qualifies better customers  
↳ On-brand creative attracts buyers who resonate with your values. Same CPA, higher LTV. Your first ad is the filter, not just the traffic driver.

3️⃣ Generic creative creates noise, not signal  
↳ When every ad looks like every other ad, the system struggles to learn who your real audience is. Volume without identity = waste.

4️⃣ A practical allocation that actually scales  
↳ Keep 60% of your creative library on-brand templates. Use the remaining 40% to test hooks, formats, and placement-specific variants. That balance trains both humans and machines.

5️⃣ Quick micro-checklist to protect your brand  
↳ Primary color, logo position, tone of voice, opening beat, end frame offer. Lock these for on-brand assets.

Controversial take: chasing short-term clicks by making everything anonymous is the fastest route to long-term decline.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Stop outsourcing creative. Start plugging it in like infrastructure.

Here’s the mindset shift most brands miss: a creative partner shouldn’t be a vendor you brief. They should be a plug-and-play microservice you wire into your ad stack.

Do this and your ad performance improves not because of one hero ad, but because your account finally gets consistent, testable inputs.

How to set it up:

1️⃣ Reserve capacity, not a project  
↳ Buy a weekly output SLA: X hooks, Y cuts, Z native formats. Predictable volume beats sporadic perfection.

2️⃣ Ship templates, not one-offs  
↳ Build 6 modular layouts (hook, pre-story, intro, close). Remix faster than you pause.

3️⃣ Version control your creative  
↳ Give every asset an ID + experiment tag. Measurement stops being guesswork and becomes repeatable.

4️⃣ Force mini-release cycles  
↳ 5–7 variations every week. Launch, learn, iterate. Stop waiting for the perfect hero.

5️⃣ Contract the learning loop  
↳ Partner owns documentation: what worked, why, next hypotheses. If they don’t deliver insights, fire them.

Real result: when we switched a DTC client to this model they moved from 4 creatives/month to 20/week and saw predictable CPA gains within 6 weeks.

If your creative partner still treats work like a one-off deliverable, you’re paying for chaos.

Found this useful? Like, follow, and repost ♻️ so others can plug in too!

ps. struggling with creative bottlenecks? We help brands build plug-and-play creative systems.

If your ad library is 80% AI-perfect assets, you’re not scalable. You’re fragile.

Here’s the unpopular truth:
AI makes pretty things. Authentic content makes repeatable winners.

Why real UGC beats synthetic every time:
1️⃣ Human signals matter more than polish  
↳ Micro-expressions, background noise, and awkward cuts signal "real" to both humans and algorithms. Those cues improve attention and retention.

2️⃣ Trust compounds LTV, not clicks  
↳ AI assets get clicks. Real stories get repeat buyers and referrals.

3️⃣ Algorithms prefer messy context, not flawless photos  
↳ Modern models reward diverse, native-feeling journeys. Synthetic sameness gets deprioritized.

No UGC from customers? Steal it legally. Here’s how to source authenticity from unexpected places:

1️⃣ Map the emotional trigger you need - fear, relief, pride.  
2️⃣ Search subreddits, product forums, TikTok comments with that emotion + situation. Example search: "sleep deprived" + "newborn" in Reddit.  
3️⃣ Pull posts that match. Look for timestamps, real names, unedited photos. Those are authenticity signals.  
4️⃣ License with a simple DM: "Love your post. Can we feature it in an ad? We pay $250 and credit you." Use sliding scale for creators.  
5️⃣ Edit lightly - keep audio breaths, shaky cam, text overlays. Preserve the native feel.  
6️⃣ If no posts exist, manufacture authenticity: seed 10 micro creators with samples, ask for unscripted day-in-life clips, run a one-question survey and turn answers into short reels.

Controversial take: AI is not the enemy. It is the excuse marketers use to avoid sourcing humans. Stop automating humanity out of your funnel.

Want a quick playbook for scraping authentic signals from Reddit and TikTok comments? Like, follow, and repost ♻️ so others can too!

ps. struggling to scale genuine UGC? We help.

As a creative partner for DTC brands, we see brands underinvest in catalog creative all the time.

This is a big step toward making catalog ads actually look and perform like real ads.

Gen AI works for one-off ads, but is unusable for product catalogs / DPA.

Ecom brands:
- Have hundreds of SKUs
- Are spending 50%+ ad spend on DPA
- Have no time

They’re being left behind. Until now.

Introducing, Generative Catalogs: redesign your entire product catalog and DPA in minutes.

Re-shooting all your SKUs is nearly impossible.

Optimizing your catalog ads is tough.

Now, do it all with the best AI.

- Pick your favorite AI model
- Write a prompt (put it on a model, on the beach, etc)
- Apply to every SKU

We’re pairing this with an irresponsible offer..

For the next week, any accounts that test this feature will receive UNLIMITED PREVIEWS for FREE.

➡️ Pick any prompts you like from our expansive prompt library (or write your own)
➡️ Apply to preview it on your catalog
➡️ Share the magic with your team

For FREE.

> Easily try out new designs.
> QA them to filter out slop.
> Launch and test as DPA on every platform.

Oh, and we have free built-in feed management (meaning you can ditch Feedonomics for free).

The world's best ecom brands and retailers are already using Marpipe to design and scale their catalog creative. 

Comfrt, Ridge, Kate Spade, True Classic, Mejuri - over 7,000 have already signed up.

Free to try, only pay if you like it.

What are you waiting for?

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The Battle

Hunter H.

Luis Camacho

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The Battle

Hunter H.

Luis Camacho

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Luis Camacho's LinkedIn Performance

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