@brunolemos I read this post thinking it must be a prompting skill issue, worked a few hours, 5.6 deleted my entire local dir when I asked it to delete only the Shopify code folder.
English
Matt Horner | DTC for Profit
363 posts
Matt Horner | DTC for Profit
@interwebsmatt
Creating profit while others brag about revenue, having fun while others stress, and trying to love like Jesus and live in faith.
Northwest Arkansas, USA Katılım Nisan 2022
233 Takip Edilen287 Takipçiler
GPT-5.6 Sol just deleted my whole production database. That's it. Not a joke. This had never happened to me before, with any other model, ever. It's not safe.
Matt Shumer@mattshumer_
GPT-5.6-Sol just accidentally deleted almost ALL of my Mac’s files. And this is why I trust Fable 1000x more.
English
@max_rosewater @EcomUnfiltered With your 100 ads per ad set, and your 20% comment, do you just write off the 80 ads that never spend as a lost cost?
English
That's interesting, i'd love to see an example of this. I don't find this to be an issue for me really ever. Not saying it's not true, just skeptical of the scenario and how long these tests ran for.
I don't run one CBO either, FYI.
I scale usually 4-6 campaigns depending on the size of the brand, or more. It's really dependent on a bunch of factors like budget, how many LPs we're testing, creative volume, and products we need to merchandise.
But it needs justification to break things out further and hyper-segment in an ABO fashion.
Usually I can stack 50 - 100 ads per ad set easily, so more ad sets will come naturally as a function of that, but most should either be consolidated into the CBO campaigns, or find there way to a new campaign if it makes sense.
I doubt there's much of a difference between our structures in reality, unless you're launching low budget, segmented ad sets in the ABO.
English
My favorite tweet of the year.
My take: I've tested every Meta account structure that exists over the past 12 months. ABO, ABO with 20% budget sharing, CBO, plus every setting layered on top.
Enough changed that it warranted retesting everything. Honestly, all the debates on here even made me ask "can Meta be trusted?"
Here's what I learned: every single time I've been forced into an ABO testing structure, it's become a major cost center. It happened again this week. A brand i'm working with forcing testing in ABO, and we torched cash in the name of "learning."
Forcing spend into low-budget ad sets creates fragmented learnings, zero statistical significance, and you end up bidding against yourself (if you're launching way too many ad sets). And, i'm still yet to understand what anyone learns when an underperforming ad gets $300 more spend than it should have.
Unless you're launching every ABO test with the proper daily budget (CAC * 7.14) I won't hate on you. Otherwise, you're wasting and fragmenting your media dollars.
I am becoming a firm believer that ABO gives media buyers the illusion of control in an extremely complex environment.
It feels like you're steering spend to the right ads. In reality, you'd get the same outcome, or better, by consolidating and giving Meta budget flexibility.
And, you may be shooting yourself in the foot if you're not getting enough consolidated data signal in fewer ad sets.
If you disagree, go into any account of yours and sort by amount spent at the ad level. You'll see the same thing every time: 20% of the ads get 80% of the spend. That's how Meta works. It will look the exact same at the ad level blended across the account on a long time frame (whether it's CBO or ABO).
And if you understand the breakdown effect, it makes perfect sense why this is.
Some ads will never get much spend. And people think that's a bad thing, or that it's different from ABO testing. It's not! The exact same outcome will occur in ABO testing. Many ads will spend pennies to dollars. You just didn't break best-practices to achieve that same outcome when consolidating down.
And hey, if you want to break out a new CBO for a different business objective (sale moment, new product drop, etc). Go for it! That's how "campaigns" are supposed to work.
Otherwise, consolidate and don't assume you can game the algorithm. The probability is not in your favor if you try to.
Do what you want. But all that tinkering ends the same way: a consolidated campaign scaling most of the budget anyway.
You just took the long road to get there.
What do you think? If you disagree, would love to hear it.
Barry Hott ☄️@binghott
You can spend millions per month with literally 1 CBO. I know I'm gonna catch heat from the sweaty ABO fans and the ABO gurus everyone loves to glaze but... I'm mostly a CBO maxi now 😱 (Btw, stick around for the reasons CBO doesn't work too) Should you even listen to me? Welp. I've been doing this FB ad stuff for 18+ years (and still am in the weeds today so I don't lose touch). I've studied literally billions of dollars worth of ads. Annnnd I just love this stuff and love talking about it. Also, I used to be a huge ABO maxi. I get it! But things have changed and I adapted! Here's a real example from a brand I started working with in April: In March they were spending 6 figures across 9 separate campaigns. NINE! The full sweaty routine, trying and failing to media-buy their way to a million-dollar spending month. And those 9 campaigns were quietly competing against each other in the same auctions and fragmenting all the data. Last 30 days? Over $1.5M in spend through 1 CBO campaign, running on Incremental Attribution. And their cost per conversion actually dropped 5% while scaling. Fewer campaigns. More spend. Cheaper conversions. Annnnd, most importantly, every minute less wasted on sweaty media-buying baloney can be spent on the things that actually move the needle, and those benefits compound. The best thing a media buyer can do in 2026 and beyond is... Spend less time on media buying and Spend more time on anything else that matters to your (potential) customers and your business: creative, products, offers, copywriting, CRO, landing pages, etc. CBO helps you do that. Let me explain why. With CBO, you let the system do what it wants to do, and then you can study it, empathize with it, criticize it, and use your human context to modify it if/as necessary. Empathize with it because the system is trying to solve a problem you can't fully see. When you understand what it's actually optimizing toward, you stop fighting it and start steering it. Meta has more data about your ads than it reports, meaning it has more and better data than you do. Ever wonder why Meta spends more on stuff with a lower ROAS or higher CPA than others? That's either the breakdown effect or it's optimizing for something you can't see. (Or a combination of both) You can't see if or how any users have seen or interacted with any other ads before they click the link. But Meta can. In the age of advanced AI machine learning post-Andromeda Meta advertising, if you think the only thing that matters is the last ad a user clicked before they got to your site, or that only link clicks matter and no other on-Meta actions matter, then you're simply not living in reality. This is also why I run Incremental Attribution on that CBO. It tells Meta to optimize toward the conversions it actually drove, not every last-touch conversion it can take credit for. Better signal in, better optimization out. CBO plus human inputs via cost caps and/or budget mins and maxes is the way to go. Best of both worlds. This works best the more data you feed Meta, so you need a lower CPA and/or high spend. The more data the system has, the more I generally trust it. Consolidation = more data for Meta to optimize. The worse/less data that you give Meta or the more you fragment your account, the less you should trust it to optimize on your behalf effectively. Now, the honest part. CBO is not magic and it does have real weaknesses: 1. CBO optimizes to cost, not profit. Mix products with different margins in one campaign and it'll happily pour budget into cheap, low-value conversions. Feed it value signals or it'll work against you. (Or otherwise apply your own context via cost caps and budget controls) 2. Budget flows to whatever the system likes, so if you need guaranteed spend on a new product or geo, it'll fight you. (That's what the budget mins/maxes are for!) 3. Low-volume accounts don't give it enough to chew on. If you're not feeding it much, it can't optimize much. 4. It's scary and hard to move from a fragmented setup, especially if you've been using it for years. Consolidating resets learning. There's a real short-term cost while it re-figures things out. It's worth it, but don't panic on day 2. Soooo when is ABO still right? Lower-spend or lower conversion volume accounts, or any time you simply can't get good data into Meta. Or if you're optimizing for something without deeper data being sent at all like reach, brand awareness, or link clicks. ABO is also fine if you can mostly consolidate into as few campaigns and ad sets as possible, buuuut the reported data can still be misleading and cause a media buyer to optimize in the wrong direction. And look, I'm not saying this is the exact RIGHT/BEST way to run EVERY account or business. It's not. CBO is probably the easiest and smartest for most businesses, and it frees up a lot more time and resources to focus on the most important stuff. It helps that this business has basically one main product, so consolidating into a single campaign is clean and easy. No mixed margins, no ten SKUs fighting for budget. If your catalog is more complicated, your setup probably needs to be too. But if it can work for a business spending this kind of money, it might work for yours too. Just because you CAN over-optimize and manually control every little thing, doesn't mean you should. This CBO plan will never work for YOU if you: 1. Have zero trust in Meta (I'm not saying you should 100% trust Meta all the time. Please don't! Buuut you need to be able to trust it at least a little bit) 2. Don't care or understand that overlapping campaigns and ad sets impact each other 3. Think you have more/better data than Meta's system (you don't! Seriously, you don't! Click data only tells one part of a complicated journey) 4. Think you're smarter than Meta's system (you're not!) 5. Give Meta bad/wrong signals/data to optimize from 6. Refuse to believe that there are other bigger things to focus on more than media buying And here's the thing sooo many media buyers (and gurus!) don't want to hear or admit: they think their media buying is the reason it's all working. It usually isn't. It's the excellent creative, the strong offer, the dialed-in landing page, the actual product people want. The media buyer is often just along for the ride on top of a great machine, taking credit for the engine someone else built. The best media buyers I know are the first to admit this. Oh, and this post isn't a pitch. I'm not gating any of this behind a signup. I just want you to squeeze the best performance you possibly can out of your ads. But if you take one thing from all of this, take this: the biggest swings in your ad performance usually aren't coming from media buying at all. They're coming from your website and the world around it. A landing page change. A new product launch. A price update. A broken checkout. A competitor's promo. A holiday. A news cycle. That stuff moves your numbers way more than which campaign structure you picked. It's the entire reason I'm building URLLove.It Because most people are staring at their ad account hunting for an answer that actually changed on their website three days ago, and they never even noticed. TL;DR: Consolidate or die. Feed it good signal (Incremental Attribution helps). Steer with cost caps and budget mins/maxes instead of babysitting. Then go spend your time on creative and offers, and alllll the stuff that actually moves the business. If you run ABO and you're winning, or you think I've got any of this backwards, come at me. Reply, quote it, tear it apart. I'll take any and all of it. One fair ask though: if you've never actually run a full consolidation, all the way down to 1 or 2 campaigns, I'll still read your take, but know that I'm going to weight it differently than someone who's actually tried it and watched what happened. That's not me dodging the argument. It's the opposite. Go run it. Give Meta the data, give it a real shot, and then come tell me everything I got wrong. That's the feedback I want most, because that's the feedback that can actually change my mind. Opinions from the sideline are welcome. Opinions from the field are gold. And if any of you want to actually hash this out live, a space, a call, a recorded chat, whatever, I'm in. I'd love to sit across from someone who disagrees and see what I'm missing.
English
@bigboy_iv @max_rosewater I’m going through this with two new brands right now. Pre-revenue, build almost complete, no idea how I’ll run ads. I have a ~5m/yr brand and I just know I’m not running it well and not sure what to do with the new ones with no history.
English
I agree, but the solution you mentioned of setting an upper limit ruins the freedom of a CBO. And you'd have to limit it to less than 2% of the total CBO budget.
And pausing an ad set or ads is only one issue:
1 - Adding new ad sets without keeping pace with the budget will cause some ads to sit there as filler, spending scraps. They'll never learn anything and will always keep searching for new audience pools.
A possible solution is forcing a minimum budget, right? I tried it and it doesn't work. Again, if your pixel is new, it won't work — Meta will give you junk prospects, with a low CPM, just to comply with wanting to spend X minimum budget.
2 - In the end, a CBO is never a fair test. If you add new ad sets, the CBO will almost always lean toward the creative that resonates with the current winner. Otherwise it's hard for it to get budget, unless the first dollars spent show some engagement signal.
With my "method," it's very similar, except that by removing the winner from the mix, Meta will look for any other creative — no longer one that resonates with the previously paused winner.
Again, all of this is based on a new pixel and limited budgets. If these were big brands, they could afford to burn money on ads that spend scraps, but within a week reach a target CPA or better.
- Lastly, here's my experience: right now I only use 1 CBO — test and scale. But personally, it's very unstable for me, and yes, there are ways to stabilize it. But it loses the whole magic of the CBO.
Where it's just upload ads and don't control anything, an ABO is better for that. That's why I preferred to do a MIX — with ABO I'll have a life insurance policy, in my opinion: ads that are spending, I watch their frequency, I watch how they're spending, I control them well.
With CBO, I have to watch that I'm not wasting spend, look at the past test, see if Meta screwed it up by giving budget to a test that didn't convert, etc. It's more random.
Lastly, and I forgot to mention this about my system — the idea isn't to find winners as such. It's to find the winning concept (angle + buyer persona). With this, I can then launch directly into the scaling ABO, and test it with a smaller or larger budget, because I have a higher % chance of getting it right.
English
@binghott What would you do for structure and budget for a new brand launching from zero? We have a brand that’s done seven figs for years, but I’m starting g two new brands this week, curious what you and others would do when starting from scratch since it’s been about 5 years for me
English
This post was about an account spending $50k/day, but I also have brands doing ~$1k/day doing the same thing.
The main message is just to not overcomplicate things or worry about the wrong things.
Barry Hott ☄️@binghott
You can spend millions per month with literally 1 CBO. I know I'm gonna catch heat from the sweaty ABO fans and the ABO gurus everyone loves to glaze but... I'm mostly a CBO maxi now 😱 (Btw, stick around for the reasons CBO doesn't work too) Should you even listen to me? Welp. I've been doing this FB ad stuff for 18+ years (and still am in the weeds today so I don't lose touch). I've studied literally billions of dollars worth of ads. Annnnd I just love this stuff and love talking about it. Also, I used to be a huge ABO maxi. I get it! But things have changed and I adapted! Here's a real example from a brand I started working with in April: In March they were spending 6 figures across 9 separate campaigns. NINE! The full sweaty routine, trying and failing to media-buy their way to a million-dollar spending month. And those 9 campaigns were quietly competing against each other in the same auctions and fragmenting all the data. Last 30 days? Over $1.5M in spend through 1 CBO campaign, running on Incremental Attribution. And their cost per conversion actually dropped 5% while scaling. Fewer campaigns. More spend. Cheaper conversions. Annnnd, most importantly, every minute less wasted on sweaty media-buying baloney can be spent on the things that actually move the needle, and those benefits compound. The best thing a media buyer can do in 2026 and beyond is... Spend less time on media buying and Spend more time on anything else that matters to your (potential) customers and your business: creative, products, offers, copywriting, CRO, landing pages, etc. CBO helps you do that. Let me explain why. With CBO, you let the system do what it wants to do, and then you can study it, empathize with it, criticize it, and use your human context to modify it if/as necessary. Empathize with it because the system is trying to solve a problem you can't fully see. When you understand what it's actually optimizing toward, you stop fighting it and start steering it. Meta has more data about your ads than it reports, meaning it has more and better data than you do. Ever wonder why Meta spends more on stuff with a lower ROAS or higher CPA than others? That's either the breakdown effect or it's optimizing for something you can't see. (Or a combination of both) You can't see if or how any users have seen or interacted with any other ads before they click the link. But Meta can. In the age of advanced AI machine learning post-Andromeda Meta advertising, if you think the only thing that matters is the last ad a user clicked before they got to your site, or that only link clicks matter and no other on-Meta actions matter, then you're simply not living in reality. This is also why I run Incremental Attribution on that CBO. It tells Meta to optimize toward the conversions it actually drove, not every last-touch conversion it can take credit for. Better signal in, better optimization out. CBO plus human inputs via cost caps and/or budget mins and maxes is the way to go. Best of both worlds. This works best the more data you feed Meta, so you need a lower CPA and/or high spend. The more data the system has, the more I generally trust it. Consolidation = more data for Meta to optimize. The worse/less data that you give Meta or the more you fragment your account, the less you should trust it to optimize on your behalf effectively. Now, the honest part. CBO is not magic and it does have real weaknesses: 1. CBO optimizes to cost, not profit. Mix products with different margins in one campaign and it'll happily pour budget into cheap, low-value conversions. Feed it value signals or it'll work against you. (Or otherwise apply your own context via cost caps and budget controls) 2. Budget flows to whatever the system likes, so if you need guaranteed spend on a new product or geo, it'll fight you. (That's what the budget mins/maxes are for!) 3. Low-volume accounts don't give it enough to chew on. If you're not feeding it much, it can't optimize much. 4. It's scary and hard to move from a fragmented setup, especially if you've been using it for years. Consolidating resets learning. There's a real short-term cost while it re-figures things out. It's worth it, but don't panic on day 2. Soooo when is ABO still right? Lower-spend or lower conversion volume accounts, or any time you simply can't get good data into Meta. Or if you're optimizing for something without deeper data being sent at all like reach, brand awareness, or link clicks. ABO is also fine if you can mostly consolidate into as few campaigns and ad sets as possible, buuuut the reported data can still be misleading and cause a media buyer to optimize in the wrong direction. And look, I'm not saying this is the exact RIGHT/BEST way to run EVERY account or business. It's not. CBO is probably the easiest and smartest for most businesses, and it frees up a lot more time and resources to focus on the most important stuff. It helps that this business has basically one main product, so consolidating into a single campaign is clean and easy. No mixed margins, no ten SKUs fighting for budget. If your catalog is more complicated, your setup probably needs to be too. But if it can work for a business spending this kind of money, it might work for yours too. Just because you CAN over-optimize and manually control every little thing, doesn't mean you should. This CBO plan will never work for YOU if you: 1. Have zero trust in Meta (I'm not saying you should 100% trust Meta all the time. Please don't! Buuut you need to be able to trust it at least a little bit) 2. Don't care or understand that overlapping campaigns and ad sets impact each other 3. Think you have more/better data than Meta's system (you don't! Seriously, you don't! Click data only tells one part of a complicated journey) 4. Think you're smarter than Meta's system (you're not!) 5. Give Meta bad/wrong signals/data to optimize from 6. Refuse to believe that there are other bigger things to focus on more than media buying And here's the thing sooo many media buyers (and gurus!) don't want to hear or admit: they think their media buying is the reason it's all working. It usually isn't. It's the excellent creative, the strong offer, the dialed-in landing page, the actual product people want. The media buyer is often just along for the ride on top of a great machine, taking credit for the engine someone else built. The best media buyers I know are the first to admit this. Oh, and this post isn't a pitch. I'm not gating any of this behind a signup. I just want you to squeeze the best performance you possibly can out of your ads. But if you take one thing from all of this, take this: the biggest swings in your ad performance usually aren't coming from media buying at all. They're coming from your website and the world around it. A landing page change. A new product launch. A price update. A broken checkout. A competitor's promo. A holiday. A news cycle. That stuff moves your numbers way more than which campaign structure you picked. It's the entire reason I'm building URLLove.It Because most people are staring at their ad account hunting for an answer that actually changed on their website three days ago, and they never even noticed. TL;DR: Consolidate or die. Feed it good signal (Incremental Attribution helps). Steer with cost caps and budget mins/maxes instead of babysitting. Then go spend your time on creative and offers, and alllll the stuff that actually moves the business. If you run ABO and you're winning, or you think I've got any of this backwards, come at me. Reply, quote it, tear it apart. I'll take any and all of it. One fair ask though: if you've never actually run a full consolidation, all the way down to 1 or 2 campaigns, I'll still read your take, but know that I'm going to weight it differently than someone who's actually tried it and watched what happened. That's not me dodging the argument. It's the opposite. Go run it. Give Meta the data, give it a real shot, and then come tell me everything I got wrong. That's the feedback I want most, because that's the feedback that can actually change my mind. Opinions from the sideline are welcome. Opinions from the field are gold. And if any of you want to actually hash this out live, a space, a call, a recorded chat, whatever, I'm in. I'd love to sit across from someone who disagrees and see what I'm missing.
English
Introducing iMessage video ads in Claude
We taught Claude to make iMessage video ads in one shot with a single skill.
These iMessage ads are absolutely killing it on Meta right now.
The skill teaches Claude to make a full video ad in one shot with iPhone frame, SFX, music, and end card.
And it's just HTML. It doesn't use any video generation models, so it's cheap!
Comment Goose below and I'll send you the skill.
English
I built a Claude skill that makes motion-style animation.
> Paste a reference image
> It generates frames with Nano Banana 2
> and animates the video with Seedance 2.0
Everything runs in Claude through the Arcads MCP
Comment "Motion", and I'll send you the skill
English
i should never be sharing this but f*ck it
seedance 2.0 + claude code + tiktok is THE best combo for AI videos
i cracked the formula for generating videos that look hyper realistic & make your audience feel like "holy shit this person gets me"
i'm finally sharing my FULL system with you..
here's what you're getting:
- my prompting method for realistic voices (works every time)
- my realistic human movements & breathing claude skill (this is key for realistic videos)
- my exact method on how to make infinite length videos that maintain consistency
- how to get AI tools for dirt cheap (90% off)
RT + reply 'UGC' and i'll send you the step-by-step system (must follow so i can dm)
English
@jasonyimco How’s this compared to elevar or upstack for someone who doesn’t understand a whole bunch about it
English
Meta just killed the biggest technical barrier in performance marketing.
for years, the gap between big brands and small businesses wasn’t just budget. it was developer resources.
if you wanted to run dynamic product ads or set up the conversions api, you needed a dev team to configure servers and manually map structured data.
that changes today.
we just rolled out two massive updates that automate the entire backend setup:
🔵 ai-powered pixel enrichment: the pixel now uses ai to automatically read your website and pull product names, prices, and availability into your events. no more manual coding or schema .org mapping. smaller businesses get performance benefits without technical work and larger businesses can refocus tech resources on more important areas
🔵 one-click capi: we launched a “meta-enabled” conversions api setup. it’s literally one click. no servers, no ongoing maintenance, no costs.
this is a huge deal for signal quality.
advertisers using capi for web events see an average 17.8% lower cpa than those relying on the pixel alone.
historically, getting that setup was a nightmare for lean teams.
now, the playing field is leveled. the machine handles the technical plumbing, so you can focus entirely on creative and strategy.
if you’ve been putting off capi because it was too technical, now is the time.
English
@aronprins I’ve got my company running very well at the two week mark. To avoid it breaking, can/should I implement this on the existing company now?
English
@interwebsmatt @dotta Do me a solid and open an issue on github for it!
Good one but i’ll lose this otherwise 🫶
English
Out now: Paperclip Desktop.
All of @dotta's Paperclip amazingness packed into one easy-to-use app for your Mac!
Available for free at github.com/aronprins/pape…
English
I was so tired of doing SEO research manually
so I just made Claude Code a Senior SEO Engineer by giving it access to my Keyword Everywhere API key and my Data For SEO API key
it just researched all the keywords related to my product like
X vs Y
X alternative
X review
etc.
and I made a full Notion document guide for you with a tutorial
It includes:
1. How to set up Claude Code and provide your API keys
2. How to get it to do initial research for you
3. How to get it to write the blog posts
4. How to get it to publish them
5. How to set up an AI data analyst to analyze your Google Search Console data to refresh those blog posts
6. How to track the signups from these blog posts via google tag manager and google analytics 4
everything above is just API calls and Claude Code doing the work for you
like this post and comment "SEO" and I'll send the Notion document to you
English
I just had Claude Code build me a Facebook ad generator that can make 100+ on-brand ad variations in minutes for $0. And I made a full Notion document guide for you.
It includes:
1. How to use Claude to find the pain points and desired outcomes of your ICP
2. How to use these pain points and outcomes to write ad copy variations
3. How to build a Facebook ad template entirely with code (just like the ones you see)
4. How focus Claude Code’s design so the ad feels “on-brand”
5. How to export the Facebook ads as PNGs in a zip file
6. How to bulk upload them to a Facebook ad set
7. How to use an AI data analyst to track the success of these ads
Everything above is just API calls and Claude Code doing the work for you.
You just come up with the ideas and polish the outputs.
Like and comment "generator" and I'll send the Notion document to you
English
@GlitchedDeals Cheaper on Amazon for anyone without going through all those steps. $214.
English
$550 VITAMIX PRO BLENDER FOR $270
Taking over $250 off at QVC with code '20NEWQ', ends in 3 days
Must create new account for code to work, lowest price found across all retailers
Free shipping included + 4 colors to choose from
mavely.app.link/1iUlg91U2Zb
English
@victorpaycro What if all products are $65 (95% of units at least), typically people buy 1.5 at a $93 AOV, and we’ve always done free shipping on all orders all the time for the last 5 years?
English
How to find your most profitable shipping threshold
I do this type of analysis to avoid wasting time and efforts on testing low-chance variants when experimenting:
1. Pull these 3 data points:
• Order value distribution (where do orders cluster?)
• Hero product prices (what drives most revenue?)
• Current avg shipping cost per order
2. Calculate the margin trade-off:
• Free shipping COSTS you margin
• But saves per-unit ship cost
• Higher AOV offsets both if customers add items
3. Set thresholds with constraints:
• Below hero price → Must be above low-margin products (or you'll bleed profit on cheap items)
• Above hero price → Must be where orders already happen (don't test $200 if no one spends $200)
4. Frame as hypotheses:
• Hypothesis A: Shipping cost blocking conversion → Test below hero
• Hypothesis B: Customers will add to qualify → Test above hero
Example: Hero at $100, most orders $50-$200, low-margin items under $40
→ Test $50 (removes friction, protects margin)
→ Test $150 (tests add-behavior where demand exists)
→ Skip $200 (no volume), Skip $30 (margin killer)
The threshold you pick determines which customer behavior you're testing AND which profit trade-off you're making.
English