CEO The Good – Optimization for top brands like Nike, Xerox, Adobe, The Economist & many more | Author & Speaker | 6'7" 🏀 | Jr Olympic 🥇🥋 | jonmacdonald.com | 📘 Latest Book 👉 thegood.com/oito

Every bad digital experience costs you money. My mission is simple: remove them all until conversion becomes inevitable.

I founded The Good 16+ years ago to turn user insights into revenue. We're the trusted Digital Experience Optimization advisory for household names like Adobe, Nike, Xerox, Intel, and The Economist.

Together, we've generated hundreds of millions in additional revenue by optimizing the full digital journey from first touch to retention.

I've written three best-selling books on conversion optimization and am a frequent keynote speaker at Google, Autodesk, and industry events worldwide.

Also building tools for UX researchers and consultants. Currently in beta: Clipses.ai. Turn user interview transcripts into shareable video clips in minutes. Helping teams eliminate hours of rewatching footage.

Folks will tell you I love to compete: I'm a former college basketball player (and still playing on a club travel team) and won the USA Jr Olympic gold medal in Taekwondo when I was 10. But, business is the ultimate sport.

Book a 15-minute optimization strategy call → https://thegood.com/contact/

📨 DM me to start improving the digital journey of your website or app… or to debate LeBron vs Jordan as the GOAT.

Jon MacDonald

I'm over 40. I still play on a travel basketball team. But not for nostalgia. It's survival.

Running a business means carrying stress you can't physically release.

You can't outwork a client who ghosts you. You can't fight a bad quarter. The competitive energy builds up... and you just absorb it.

For 16 years, I've needed somewhere to put that pressure.

The basketball court is mine.

After my hardest days, I lace up and forget everything else. I have to. When someone's driving to the basket, I can't think about the deal that fell through or the hire who didn't work out.

The game forces me into the present moment. Nothing else exists.

Win or lose, my company is fine the next morning.

That mental separation is the point.

Exercise alone won't do this. Running doesn't reset my brain the same way. But real competition, with real stakes and real opponents, flips a switch.

The buildup releases. Perspective returns.

Every founder I know who's lasted 15+ years has something like this. A place where competitive energy goes and business stress can't follow.

Find yours.

Digital Experience Optimization + AI Browser Agent Optimization + Entrepreneurship Lessons | 3x Author | Speaker | Founder @ The Good – helping Adobe, Nike, The Economist & more increase revenue for 16+ years

I've been reading r/Entrepreneur all month. The burnout is relentless.

Founders doing everything right. Exercise. Sleep. Healthy eating. Still completely exhausted.

One CEO just closed a funding round and doubled their team. Should feel great. Instead, lower than ever.

Another said they can't afford extended time away. Too much to do.

2026 is starting heavy.

The common thread: isolation.

Carrying the weight of employees' mortgages. Investors' expectations. Making decisions that affect everyone while having no one to process it with.

I know this spiral. I've been running The Good for 16 years.

Working less didn't help me. Optimizing my morning routine didn't either. Finding people who actually understand the weight did.

Entrepreneurs' Organization. Smaller mastermind groups and forums. People who've faced the same decisions and will tell me when I'm being an idiot.

Not for networking. Not for referrals. For reality checks when I've been too deep in my own head for too long.

The founders burning out aren't weak. They're just alone.

If that's you right now, find your people. It's the best investment you'll make this year.

Trevor Lawrence failed spectacularly. But still scored a touchdown.

Watch the play.

He stumbles. Crashes to the turf. Gets back up. Runs it into the end zone.

That's optimization in seven seconds.

Your biggest wins hide behind your worst failures.

Failure is the engine of optimization. Yet most companies treat it like a disease. They punish mistakes. Hide poor results. Celebrate only wins.

They're optimizing for the wrong metric.

Every failed test reveals what customers actually want. Not what we assumed they wanted.

Jeff Bezos put it simply: "Our success at Amazon is a function of how many experiments we do per year, per month, per week, per day."

Research confirms less than 50% of experiments at Amazon, Microsoft, and similar companies improve the metrics they're designed to improve.

Most experiments fail. Even at the best companies.

The difference is they don't treat failure as defeat. They treat it as data.

Google cancels most new products. Netflix tests hundreds of features you'll never see. Booking.com runs over 1,000 experiments at any given moment.

They fail fast, learn faster, and win biggest.

The magic happens when you systematize failure.

Make it cheap. Make it frequent. Make it expected.

Run that risky play. Test boldly. Document everything.

Because the only real failure is never running the experiment at all.

Claude has made half of my authority playbook worthless.

I've spent 16+ years building credibility as an entrepreneur. Published 3 books. Spoke at conferences. Built a content engine.

Half of those signals mean nothing now.

Books? Anyone can have AI write one in a weekend.

Conference keynotes? The audience can ask Claude the same questions afterward and get a more detailed answer.

Thought leadership content? We're all drowning in it.

The old authority formula (credentials + content = trust) is breaking.

But here's what I've noticed still works:

Original frameworks. The thinking you've done that nobody else has.

Specific results. Numbers from real work, not just case studies, with specifics on how you got there.

Relationships built over years. The people who've seen you perform.

Decision-making under uncertainty. AI can synthesize information. It can't (yet) make the final call.

The entrepreneurs building real authority in 2026 aren't collecting credentials.

They're demonstrating judgment.

I'm considering writing another book. Not for the "author" credential.

For the thinking it forces me to do. For the frameworks that come out of it. For the conversations it starts.

The credential is worthless. But the process... that is still invaluable.

You can improve conversion rate while making customers hate you.

I've seen it happen.

The dashboard showed green. Time on site up. Funnel flowing. Revenue growing.

But support tickets told a different story.

Customers weren't happy. They were confused. The extra time on site was people hunting for answers they couldn't find.

Analytics can't see suffering. But AI can scale the search.

So, use AI to cluster your qualitative data.

Feed it support tickets, on-site search queries, call transcripts, negative reviews.

Look for repeated phrases that predict churn:

"I thought it would..."
"I can't find..."
"Why is it asking for..."
"I already entered that..."

These patterns reveal friction your funnel metrics hide completely.

If your team only reviews numbers, you'll keep shipping silent damage.

Here's a prompt you can copy to get started:

"Analyze these [500] support tickets. Group them by common user frustration themes. For each theme, provide: 1) the specific phrases users repeat, 2) estimated frequency, 3) which part of the product/journey it relates to. Rank by potential business impact."

Paste your data. See what your dashboard can't show you.

I found a client's bestseller buried in a 47 item dropdown. But it drove 90% of their sales.

This is choice overload in action.

Psychologist Barry Schwartz proved that too many options paralyze decisions. When faced with overwhelming choices, customers don't choose better. They choose nothing.

Our client had exactly this problem.

Their "Shop" dropdown listed dozens of products with no hierarchy. Just an alphabetical wall of text.

Their flagship product sat somewhere in the middle. Invisible.

The serial positioning effect explains why this matters. We remember the first and last items in any list. Everything in the middle blurs together.

So we restructured their navigation.

Core products moved to the first and last positions. Secondary items organized by customer intent, not internal categories.

Result: $1.4 million in additional annual revenue.

Same products, same traffic, and same checkout.

The only change was removing a psychological barrier customers couldn't articulate.

Your customers make 35,000 decisions daily. By the time they reach your site, they're already exhausted.

The fix is simpler than you think:

Limit top-level nav to 7 items (the brain's processing limit).
Put your most important items first and last. 
Structure around customer goals, not internal departments.

Don't ask them to work harder. Guide them to what they need.

I poured 15 years of hard-earned lessons into Behind The Click. None of them were "the big idea."

First-time authors think they need one transformative insight to justify a book.

That's backwards.

A book isn't one idea explained at length. It's dozens of smaller ideas organized into a coherent argument.

Behind The Click has 4 main sections: Discovery, Information-Gathering, Decision-Making, and Post-Purchase.

Each section answers different questions customers ask along their journey. Each question required its own chapter of tactics and psychology.

That's not one big idea. That's a system of interconnected insights.

Here's the test I use: if you can explain your expertise in one conversation, you don't have a book yet. If explaining it takes 20 different conversations, you do.

My first book started as one simple belief: companies should sell, not just market. That belief required exploring awareness strategies, sales psychology, digital journeys, and conversion principles.

One belief. Dozens of supporting ideas.

Your "big idea" isn't a book.

It's the thesis that ties your smaller ideas together.

Our best product ideas never came from market research.

They came from watching clients struggle with the same problem over and over.

At The Good, we've run thousands of customer interviews across 16+ years. The analysis was always valuable. The video editing to create highlight reels was always... painful.

Researchers spending entire afternoons hunting through footage to find one quote. And, we heard the same complaint from internal teams at client after client.

So our team built Clipses. Interview footage to highlight reels in minutes, not hours.

This is how The Good Ventures portfolio works. UserInput, CommerceCritiques, now Clipses. All born from patterns we saw repeatedly in client work.

Consultants have an unfair advantage for building products.

You see problems dozens of times across different industries, team sizes, and budgets. That pattern recognition is more valuable than surveys or focus groups.

You're not guessing what people need. You're watching them struggle with it in real time.

If you've seen the same frustration 10+ times across different clients, pay attention.

That's a product signal hiding in plain sight.

Time is money, but in SaaS, it's also the key to success.

Over half of downloaded apps are uninstalled within 30 days. Why? Users aren't experiencing value quickly enough.

Accelerating time-to-value isn't just about faster onboarding. It's about creating those "Aha!" moments that turn casual users into loyal customers.

The best SaaS companies are mastering this art through personalized experiences, optimized registration processes, and strategic quick wins.

They're not just building products. They're crafting journeys that lead users to value faster than ever before.

Are you still making users wait to see your product's true potential?

Learn how to speed up your time-to-value and reduce churn in our latest article. Your users (and your bottom line) will thank you.

Click through to discover the strategies that are transforming user experiences and driving SaaS success.

View newsletter: Digital Journey Insights

Learn how strategies like optimizing onboarding, personalizing the user experience, and implementing quick wins can improve SaaS product time-to-value

Open article: Accelerating Time-to-Value: How SaaS Products Get Users to ‘Aha!’ Moments Faster by Jon MacDonald • 8 min read

Accelerating Time-to-Value: How SaaS Products Get Users to ‘Aha!’ Moments Faster

Most SaaS leaders get trial cancellations wrong.

They think users leave because the product isn't good enough. So they add more features. Build more capabilities. Polish the UI.

But the data tells a different story.

Users rarely cancel because your product lacks value. They cancel because they didn't experience that value quickly enough, clearly enough, or in a way that made sense for their specific needs.

The distinction matters more than you think. Because if you're solving the wrong problem, no amount of product development will move your conversion rate.

Here's what actually reduces trial cancellations: systematic optimization of the experience itself.

Our latest article breaks down the five-step framework we use to audit trial experiences and identify exactly where users encounter friction.

Learn about trial optimization and get the five-step audit framework to optimize your SaaS free-trial experience, reduce cancellations, and improve co

Open article: How Do You Reduce Cancellations During SaaS Free Trials? by Jon MacDonald • 11 min read

How Do You Reduce Cancellations During SaaS Free Trials?

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

We help brands and agencies scale their conversion-driven creative output with our team of heavily vetted designers & video editors, expertly trained in advertising & consumer psychology.

Our team has worked with agencies and brands in various industries and business models. From DTC in the CPG space to biotech and B2B Service and SaaS in the fintech industry and mental health space to everything in between. If you're an agency or brand struggling with creative output, our team can help.

Here are some testimonials: 

"Spent a lot of time and money looking for a solution to our agency's ad creative output. I'm happy to say I think we've found the answer. Not only are GetAds ad creatives top quality, but they actually perform better than anything/anyone we've used before! Highly recommend!" - Mike W. ⭐️⭐️⭐️⭐️⭐️

"As an ad agency owner, I need unlimited creative that’s affordable, easy to use, and delivers high-quality results for my clients. GetAds is that. Their web portal is super easy to use, the price is the best in the business, and their team of designers are the best there is, bar none. I’m even impressed with their turnaround time. That’s all I need. Thanks, GetAds!" - Carlos C. ⭐️⭐️⭐️⭐️⭐️

"We are very very satisfied and will continue to use Get Ads for our business. They are almost fully integrated into our business via slack which is amazing and learn over time what we like and dislike." - Jake S. ⭐️⭐️⭐️⭐️⭐️

"GetAds has been a fantastic addition to our design suite. We are able to get strong B2B creative graphics/videos quickly with the GetAds team." - Josh L. ⭐️⭐️⭐️⭐️⭐️

Side note, our newest product helps media buyers & creative teams organize, collaborate, and save ad inspiration in one place. If you want to supercharge your ad creative workflow, sign up, it's free (forever) → getads.co/app

Want to chat? Shoot me a DM :)

Luis Camacho

AI is decimating my company and it’s probably doing the same to yours without you even realizing it…

Here’s the crazy thing I learned…

12:07 pm. I ask ChatGPT  “best UGC ad agency..”

It lists my competitors. We are not there. My coffee goes cold.

And the scary part?

This wasn’t a “research” query.

This was a buyer query.

Someone with intent. Someone deciding who to trust.

And AI confidently sent them elsewhere.

My first reaction was anger.

Then it turned into something worse.

How many people are doing this every day?

How many CMOs, founders, brand managers are asking AI who to hire and then seeing our competitors?

So I did what most founders do when they’re scared and pissed at the same time.

I went down the rabbit hole.

I wanted to understand how the h*ll you get seen by AI when AI is the one making the decision.

And that’s when I found a platform called Meridian.

It doesn’t try to get you traffic.

It shows you whether AI even knows you exist then gets you ranked higher. 

I don’t want other founders or CMOs to have that same moment:

Sitting there.

Watching AI confidently recommend your competitors.

Realizing deals are happening without you ever being in the room.

That feeling sucks.

So I’m sharing this to hopefully help one of you. 


Meridian lets you see things you literally cannot see anywhere else:

↳ Which brands AI recommends instead of you
↳ What sources AI is actually reading
↳ How often you show up across ChatGPT, Gemini, Perplexity, Google AI

One more thing.

I'm giving away the world's first AI visibility tracker that shows you exactly how you're ranking right now. Be aware, it may scare you.

Comment on Meridian, and I'll send it to you.

And yes, I am a Meridian partner because I believe in what they're doing.

Conversion-Driven Creatives On-Demand for agencies & brands with our streamlined process & platform. ⚡️

Stop writing briefs. Start publishing hypotheses.

Most briefs are mood boards dressed up as strategy. That’s why design teams make beautiful guesses and your ad account pays for them.

Here’s the brief that actually drives performance:

1️⃣ 3-Second Belief  
↳ One sentence the viewer must believe in 3 seconds. Example: "This snack keeps my toddler full until lunch."

2️⃣ Fail-Fast Conditions  
↳ Define what counts as failure in 48-72 hours. Example: "If Reels CTR < 0.4% and CPA > $45, kill creative."

3️⃣ Audience Micro-Story  
↳ Persona + context + motivation. Example: "Urban runner, 28-40, hurt by joint pain, wants quick recovery."

4️⃣ One Measurable Outcome  
↳ Pick one metric and timeline. Not 'brand awareness' — pick CPA, ATC rate, or ROAS in 7 days.

5️⃣ Next Experiment Ask  
↳ Give the team the exact variable to try next (hook, shot type, offer). Don’t leave them guessing.

Bonus: include the primary objection verbatim from customer research. If you can’t say the objection, you don’t understand the buyer.

Controversial truth: a brief that treats creative like a lab yields more winners than throwing money at "vibes." Briefs are your cheapest scaling tool.

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

ps. Want the one-page brief template we use to halve revision cycles? DM me.

Here’s an unpopular truth: swapping creative partners every time an ad set dips is the most expensive growth strategy in marketing.

If you want speed, scale, and compounding returns, stick with a good outsourced creative partner—especially one that owns part of the creative strategy. Here’s why:

1️⃣ Creative memory wins  
↳ Teams that stay together build institutional memory of audiences, hooks, and sequencing. Tests become data, not noise.

2️⃣ Strategy alignment reduces churn  
↳ When a partner helps set strategy, they optimize for LTV and journey, not just the next cheap conversion. That shifts every creative decision from short term to compounding value.

3️⃣ You get an R&D engine, not a vendor  
↳ A partner who tests, documents, and standardizes learns faster. You get libraries, templates, and playbooks that scale, cutting production cost per variation dramatically.

4️⃣ Faster algorithm adaptation  
↳ Partners who see patterns across brands adapt to platform shifts before your in-house team catches up. That’s the difference between reactive fixes and proactive wins.

Controversial bit: if you treat them like a transactional vendor you will get transactional results. Pay them to act like a partner—retainers, outcome bonuses, or equity align incentives and multiply focus.

Your creative partner should feel like an extension of your company, not an external checkbox. When they do, creative becomes an asset, not a cost.

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

ps. struggling with creative bottlenecks? We can help.

If you want Andromeda to love your account, confuse it on purpose.

Yeah, seriously.

Meta’s new algo rewards novelty. Feed it the same hero ad for months and it learns a narrow map of who will convert. That sounds good until the map runs out of roads.

Here’s a different way to think about creative testing: treat it like maintenance, not discovery.

1️⃣ Recalibration pulses  
↳ Every 7–14 days, launch 2 net new concepts that are intentionally different from your current winners. Different hook, different creative grammar, different CTA.

2️⃣ Temperature reset - allocate 10% of spend to exploration  
↳ Small budget. Big informational return. Let the system explore without risking your main CPA.

3️⃣ Shock and feed sequence  
↳ Shock with 2 radical concepts. Identify signals fast. Feed winners with 3-5 micro-variants to compound learning.

Why this works (and most brands miss it): Andromeda builds user embeddings over time. New concepts expand those embeddings. That lets the model personalize better, which improves match quality and reduces wasted reach. You are not just finding a single winner. You are expanding the pool of people who can become winners.

Stop treating testing like an afterthought. Make novelty part of your cadence.

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

ps. struggling with creative throughput? We can help.

Most teams don’t have a scaling problem.

They have a decision problem.

Every week, the same questions come up:

Which ads should we scale?
Which ones are lying to us?
Where are we wasting budget?

The answers are usually scattered across dashboards, channels, and gut instinct.

That’s why most creative testing slows down as spend grows.

Not because teams stop testing, but because decisions start lagging behind performance.

GoMarble built a set of AI agents to solve that exact gap.

Each agent is designed to look at your data the way a senior strategist would, but without the bottlenecks. They analyze patterns across accounts, creatives, and performance signals to surface what actually matters.

The agents show how this works in practice.

It breaks down how GoMarble’s agents:

• Identify which ads are safe to scale and which ones are about to break
• Spot creative patterns that are working across campaigns, not just one
• Flag false positives before teams over-allocate budget
• Turn raw performance data into actionable creative direction

It’s about compressing weeks of analysis into minutes, so creative and media teams can move with confidence instead of hesitation.

That’s the difference between reacting to performance 
…and staying ahead of it.

Comment ‘'GOMARBLE’’ to get access to the agents.

Your 50 variations aren’t creative diversity. They’re just the same idea with different lipstick.

Here’s the real difference most teams miss:

Variation = tiny tweaks inside one concept family
↳ Color, thumbnail, wording, timing. Useful. Fast.

Diversity = net new ad concepts
↳ New hooks, new stories, new formats, new entry points. Feeds the algo real novelty.

Why Andromeda prefers diversity (and why you should too)
↳ The model doesn’t just reward better thumbnails. It rewards new signals it can stitch into journeys. Give it small tweaks and it learns one story. Give it new concepts and it builds new journeys.

A simple operating system to win the Andromeda era:
1️⃣ 3:1 Rule
↳ For every 3 micro-variations you launch, create 1 net new concept. Stop bloating the same idea.

2️⃣ Batch net new concepts
↳ Launch 5–7 executions of each new concept (UGC, discrediting angle, authority piece, demo). Let the model recognize the pattern.

3️⃣ Measure signal, not just CPA
↳ Track reach lift, sequence engagement, and cohort conversion paths. Novelty shows up in upstream signals before CPC beats appear.

Controversial take: obsessing over micro-optimizations trains your account to be narrow. If you want algorithmic distribution, feed it variety, not redundancy.

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

ps. struggling with creative bottlenecks? We can help.

Controversial take: Outsourced creative strategy should run your ad tests for the first 90 days. Not just execute. Lead.

Here’s why most brands hire agencies for production and then wonder why nothing changes:

1️⃣ Outsiders force hypotheses  
↳ External strategists question sacred assumptions. That friction exposes which ideas are actual opportunities and which are brand myths.

2️⃣ They turn variety into learning velocity  
↳ Good outsourced teams deliver 30 to 60 micro-experiments in a quarter, not 3 "polished" concepts. Volume + structure = compounding wins.

3️⃣ They trade perfection for signal  
↳ Agencies can afford to push ugly, native-feeling hooks that reveal real user intent faster than an in-house team obsessed with pixel perfection.

4️⃣ They scale operationally  
↳ Fractional teams specialize in repeatable testing frameworks. You get a creative multiplexer that feeds the algorithm diverse inputs without blowing your budget.

How to make it work

1. Pay for learning, not assets. Fees tied to insights and validated winners.  
2. Give access, not approvals. 48-hour feedback windows. No endless iterations.  
3. Demand a public learning log. Weekly takeaways, winner templates, failed hypotheses.  
4. Treat them as a partner, not a vendor. Data access beats design notes every time.

If your agency refuses a learning-based contract, they want to stay comfortable. You want results.

Found this useful? Like, follow, and repost ♻️

Offers are lazy.

They ask customers to transact. Angles get customers to care.

Here’s why scaling with angles, not offers, wins long term:

1️⃣ Offers compress intent, they attract deal hunters
↳ 50% OFF gets clicks, not loyal customers. Cheap offers scale CPA but tank LTV.

2️⃣ Angles scale perception, they pre-qualify buyers
↳ Angles speak to identity, context, and urgency. They filter for buyers who stick around.

3️⃣ One offer, many angles is exponential leverage
↳ Keep the same pricing or promo. Test 12 angles across the same audience. Winners compound when you multiply creative formats.

How to operationalize it (practical playbook):

1. Map 3 core personas
2. For each persona, create 4 context angles (fear, aspiration, scarcity, social proof)
3. For each angle, craft 3 intensity levels (tease, proof, close)

Result: 3 x 4 x 3 = 36 distinct angles to feed the algorithm

Metric that matters: Angle Velocity
→ How fast you can validate an angle and create 3 creative variants for it. Faster velocity = faster scale.

Controversial take: If you’re rotating offers every week to chase volume, you are masking bad angle work. Fix the message first, then scale the spend.

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

ps. struggling with creative bottlenecks? We can help.

Faster creative is a productivity problem. No, wait. It’s a decision problem.

You can crank out 100 ads a month and learn nothing if each one is opinion dressed up as art. What actually wins is high decision density — more meaningful learnings per dollar spent.

Decision density = insights gained / ad spend

Here’s how to crank that number up fast:

1️⃣ Start with a single hypothesis  
↳ Know exactly what you want to prove. Hook, offer, or audience. Not all three.

2️⃣ One change per variant  
↳ Swap only the headline, or the thumbnail, or the CTA. If it wins, you know why.

3️⃣ Run 48-hour sprints, not month-long marathons  
↳ Fast early signals beat polished stagnation. Iterate daily, not weekly.

4️⃣ Use modular templates and pre-approved palettes  
↳ Swap copy and product shots in seconds. Cut feedback rounds to near zero.

5️⃣ Always log the takeaway, not just the winner  
↳ “This hook beat control by 18% — because it framed X.” Record it. Reuse it.

Controversial take: perfect creative is a marketing hobby. Testing is a business function. If your process worships polish over proof, you are funding your competitors’ experiments.

Want a ready-made 48-hour creative sprint template? Like, follow, and repost ♻️ — I’ll share the playbook.

Controversial take: hiring more creatives is not the fastest path to better ad performance.

What wins is importing the right creative playbooks from outside your category.

Here’s how top agencies actually scale performance by stealing ideas, not headcount:

1️⃣ Hunt outside your lane  
→ Political micro-targeting, mobile game UA, retail window design. Each has one repeatable superpower you can steal.

2️⃣ Translate playbooks into hooks, not assets  
→ Don’t copy visuals. Convert the tactic into a 3-word hook + pre-story + testable angle. Hooks drive the algorithm. Design amplifies them.

3️⃣ Run cultural experiments in controlled batches  
→ 5–7 variations per playbook. Learn fast, document the rule, then scale what changes user quality, not just CPA.

4️⃣ Price the import, measure the lift  
→ Charge a Creative Import Fee: scouting + translation + sequencing. Benchmarks should be LTV uplift, retention, and funnel quality, not just day-1 CPA.

Why this works: outside playbooks change who clicks. That changes who stays. Changing audience quality compounds revenue more than shaving a few cents off CPA.

If your agency growth plan is "hire 5 more creatives," you are scaling costs. If it is "import 3 new attention systems this quarter," you are scaling advantage.

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

ps. Need help importing a playbook? We help agencies do exactly this.

taplio

The Battle

Jon MacDonald

Luis Camacho

Followers

Posts

Engagements

Likes

Performance ScoreJon MacDonald's LinkedIn Performance

Performance ScoreLuis Camacho's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Jon MacDonald

Luis Camacho

Followers

Posts

Engagements

Likes

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);}Jon MacDonald's LinkedIn Performance

Performance ScoreLuis Camacho's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreJon MacDonald's LinkedIn Performance