If your Google Ads aren’t scaling your Shopify store, you’re making one of these 8 mistakes. After managing hundreds of millions for brands, I’ve seen the same patterns over and over. These are the biggest reasons why Google Ads don’t work and exactly how to fix them.

This first mistake is so common that I estimate 7 out of 10 Shopify brands are doing it right now.

Mistake 1: Your Account Is Too Fragmented

Most brands think more campaigns means more control. But in reality, it usually does the opposite.

It splits the budget, thins out the data, and leaves every campaign too weak to build momentum. So the account looks organized on the surface, but underneath, nothing is getting enough signal to really learn.

We saw this in one account that looked clean at first glance. Lots of neatly separated campaigns. But when we looked closer, each one was pulling in barely enough conversion data to make useful decisions. So performance stayed flat. Not because the offer was bad, but because the structure was too fragmented.

Once we simplified the account and combined similar campaigns, things moved fast.

Revenue went from $20K to $32K. Conversion rate jumped from 1.67% to 2.37%.

That’s the key lesson.

The algorithm cannot optimize around signals it barely receives. If every campaign is underfed, you are not creating control. You are creating hesitation.

How to Fix a Fragmented Google Ads Account

First, look for campaigns that are too thin to produce meaningful learning. If you have a bunch of campaigns bringing in barely any conversions each month, that is your first red flag.

Second, combine similar campaigns. Group low-volume products together. Stop splitting campaigns over tiny differences unless you have enough conversion data to justify that separation.

For most stores, simpler is the better starting point.

Usually that means one tight Search campaign, or a Search campaign paired with a Shopping campaign.

If you are running Shopping, keep products grouped until clear winners emerge.

If you are running Search, keep it centered around one clear offer, one theme, and one strong intent.

Now, you might be thinking: “But isn’t segmentation more advanced?” Only when the data supports it. Because advanced structures without enough data are not sophisticated. It’s just a pig with lots of makeup on.

So the rule is simple: don’t segment because it feels advanced. Segment when the data proves you should.

That’s how you give campaigns enough room to learn. And once you fix that, the next question becomes: how do you make expensive clicks work when you lose money on them?

Mistake 2: You’re Bidding in the Most Expensive Auctions

This is another mistake that quietly drives up costs fast.

A lot of brands go after the most obvious keywords. “Buy dog food.” “Best collagen powder.” “Face cream for women.” Those convert. That’s the reason people are bidding on them. They are bottom-of-funnel searches. But they are also where the auction is most crowded, competition is fiercest, and clicks are often the most expensive.

So if that is your entire keyword strategy, you are marching straight into the most crowded auction on Google with a giant sign that says, “Hi, I would like to overpay now.”

The smarter move is to go one step up the funnel. Instead of targeting only the product someone wants, target the problem that makes them want it in the first place.

For example, a lot of brands want to show up for “buy dog food.” But the better opportunity might be: What should I feed my dog? It’s a “what” search — cheaper, still packed with intent, and closer to the real reason someone starts looking in the first place.

Skincare examples: Why am I breaking out all of a sudden? Why am I always tired? How to fix dry skin at home?

Those are not random information searches. They are often the first signal of a buyer entering the market.

How to Find Lower-Competition, High-Intent Keywords

Start with your Search Terms report. Look at what people are actually typing. Then use Google Search Console and Google Ads Keyword Planner to find real customer questions around the problem.

Focus especially on phrases that begin with: how, why, when. Those are often problem-aware searches. The person may not be ready to type in the product yet, but they are already looking for a solution.

Once you find those searches, do not dump them into the same generic ad groups as your buy-now terms. Build campaigns or ad groups around those problem themes instead. Keep the messaging tight to the question they are asking.

There is one mistake people make here all the time: they start targeting top-of-funnel keywords, but they forget to change what they ask those clicks to do.

Mistake 3: Your Landing Page Breaks the Conversation

A lot of stores get the click and then waste it.

Someone searches for a specific problem, clicks your ad, then lands on a generic product page that doesn’t continue the conversation. That kills scale. Think of the click as a conversation. If the landing page replies with something unrelated, that conversation dies awkwardly.

If someone searches “benefits of acupressure mat,” the page should feel like the natural next step. It should speak to the problem, build trust, and then position the product as the solution. Not just dump them onto a page and hope.

So the fix is simple: match the landing page to the search as tightly as possible. If the search is problem-based, the page should open by addressing that problem directly.

A very simple structure is:

1. Match the intent in the headline
2. Explain the problem clearly
3. Add proof or credibility
4. Introduce the solution
5. Make the next step obvious

This is also why one ad group per landing page or theme works so well. It forces tighter alignment between the keyword, the ad, and the page. Your landing page should not feel like a plot twist. It should feel like the next sentence.

This next tip reveals how a lot of advertisers get tricked by their own metrics and end up losing profit because of it.

Mistake 4: Your Ads Attract Clicks Instead of Buyers

More clicks does not automatically mean better ads. Sometimes the better ad actually gets fewer clicks, because it is attracting the right people.

For example, a more specific headline might lower CTR slightly but improve conversion rate and cost to acquire a customer, because it filters out low-intent clicks before they happen.

And that feels wrong at first. If hearing “lower CTR” makes you nervous, good. That’s exactly why this mistake is so common. Because most people write ads like they are trying to be liked by everyone. But good ads do not do that. Good ads say no. They tell the right person, “this is for you,” and the wrong person, “keep scrolling.” That is what qualification looks like.

To increase profit, rewrite your ads and assets to filter; not to attract everyone.

Use qualifiers that make the offer clear upfront. The easiest ones are: price, discount, audience, location, product category. For example: Starts at $25. Up to 50% Off. For Remote Executives. Designed for Sensitive Skin.

Those lines may reduce clicks a little. Good. That means fewer unqualified people are clicking through and wasting your budget.

But remember, the ad still has to match the landing page. If the ad promises something specific and the page turns broad or generic, click quality drops fast. The conversation breaks, and so does performance.

A lower CTR is not always bad. If the traffic converts better, that ad is doing its job. And that brings us to one of the most expensive mindset mistakes in Google Ads.

Mistake 5: You Obsess Over CPC Instead of Profit

A lot of brands panic when cost-per-clicks rise. But cheaper traffic is not the goal. Profit is the goal.

Expensive clicks don’t scare strong businesses. They expose weak ones.

At the end of the day, your ability to scale comes down to three numbers: how much you make from a customer, how often people convert, and how much it costs to get them to click. That is it. A click is only expensive relative to how much value your business can pull out of it.

Because if your AOV and conversion rate are strong, you can afford clicks that weaker competitors simply cannot. And that is where scaling actually happens.

Start asking: “How do I make each click worth more?”

There are three main ways to do that.

1. Improve Conversion Rate

Make the page clearer. Build more trust. Remove friction. If more visitors buy, every click becomes more valuable.

2. Improve AOV

Use bundles, upsells, and post-purchase offers. Change your product line so customers naturally buy more.

3. Improve Email

A lot of visitors will not buy on the first click. But if they come back later through good email flows, that original click becomes more valuable than it looked at first.

That is the real scaling mindset. But there is a way that scaling can go wrong fast.

Mistake 6: Your Store Doesn’t Convert Cold Traffic Well Enough

Google Ads sends a lot of first-time visitors. So if your store only works for people who already know you, scaling gets capped fast.

A lot of brands think they have a traffic problem, when really they have a page that does not do enough to convert cold visitors. Because cold traffic needs more. It needs a clear value proposition. Strong visuals. Reviews. Trust signals. And a checkout that feels easy and safe.

Even something simple like adding PayPal, Apple Pay, and Google Pay can reduce hesitation because it makes the whole experience feel more legitimate.

So audit your page like a first-time buyer. When someone visits for the first time, what do they see in the first 3 seconds? Visit one of your pages used in Google Ads and give yourself 3 lazy seconds to figure out what’s going on. Do you know what it is, why it matters, why you should trust them, and what to do next? That’s the 3-second stranger test.

If the traffic is broader or more problem-aware, do not force it straight onto a standard product page. In those cases, a dedicated landing page often works better because it can educate first, then sell.

A lot of scaling problems are not really traffic problems. They are first-impression problems.

Now, if you can do this next point, you will have made it in ecommerce.

Mistake 7: You Haven’t Increased Customer Value

I remember looking at one ad account and thinking, this should be scaling harder than it is. The ads were working. CPA was acceptable. The conversion rate was decent. On paper, it looked fine.

But revenue was at a ceiling for years.

When I dug deeper, the problem became obvious. The business was doing almost nothing after the first sale. Poor emails. Poor product strategy. When I dug through unpublished reviews, I saw poor customer experience. They were paying to acquire customers and then just stopping there.

That is the real point here. Stores that scale are not only good at getting the first sale. They are good at increasing what each customer is worth.

And that extra value can come from a few simple places: bundles, one-click upsells, emails, customer experience. But the biggest one is improving your product line, because your products directly relate to lifetime value.

If one store makes more per customer, it can afford to scale harder. It can bid more aggressively, absorb higher CPCs, and stay profitable.

So do not just look at what happens before the add-to-cart. Look at what happens after it. Do you have a one-click upsell in Shopify? If not, install an app like Zipify’s OneClickUpsell or Rebuy and add one.

Are customers genuinely loving your product? Do you look after all customers? There’s so much you can do for retention. And the good news is, this does not require some massive breakthrough. Even a modest lift in average order value can change how aggressively you can bid.

Because the brand that scales hardest is often not the one getting the cheapest customer. It is the one making each customer worth more.

Remember how I mentioned hitting a ceiling? That’s what this next mistake is about.

Mistake 8: Google Ads Don’t Work at Scale If You’re Not Generating New Demand

Every Shopify brand doing Google Ads hits a ceiling at some point. You keep pushing Search and Shopping harder, but those campaigns mostly capture demand that already exists. They do not create it.

The problem is, by only showing up once someone is already searching, your growth is capped by however many people are already in the market.

I saw this in one account where Search was performing fine, but scale kept stalling. Every time we pushed harder, CPCs rose, efficiency tightened, and growth flattened. The problem was not the account structure. The problem was that I was trying to harvest demand the brand had never created.

Search is a harvest channel. YouTube and Demand Gen campaigns help plant the field.

Demand Gen and YouTube campaigns let you get in front of people before they search. Before they know your brand. Before they are comparing options. You are not just waiting for intent anymore. You are helping create it.

That matters because once more people know you, Search gets stronger too. Branded search lifts. Retargeting improves. Conversion paths get easier.

Do not treat Search as your only growth engine. Use Demand Gen and YouTube to reach cold audiences earlier, build awareness, and create the demand that Search can later capture.

Don’t forget to download the checklist to find and fix the most common Google Ads mistakes stopping your Shopify store from scaling.

Even if you avoid all these mistakes, Google Ads has a bunch of default settings that suck ad spend if you don’t change them. Read the next article for the top tips to improve your Google Ads performance and stop leaking budget there too.

One Google Ads habit quietly drains more budget than bad keywords. After 20 years and thousands of audits, I still see brands doubling down on it. In this article, I’ll show you that habit and the top 3 Google Ads budget killers for 2026 and how to save Shopify stores money by fixing them fast.

First up is the fastest win that stops bad clicks before they ever cost you a dollar.

Budget Killer #1: Paying for Traffic That Was Never Going to Convert

Let’s say you’ve got a new Google Ads campaign, ad group, or asset group, and your ads are getting clicks but those clicks aren’t turning into sales. The reason is likely that you’re paying for traffic that was never going to convert.

The greatest factor for conversion rate is the source of traffic and how qualified those visitors are. And there’s a hidden influence on this that isn’t keywords.

If the wrong people are clicking your ads, nothing else in your account matters.

Your CPA shoots up and confidence in the campaign drops.

This is exactly what was happening for an established client of ours during their End of Financial Year sale. Broad, generic headlines like “Get a Free Quote” or “Best Deals Today” aren’t attracting the best people. I could have been attracting even more buyers by using some special trigger words.

When sale periods like Black Friday spike your costs, you can’t afford to buy traffic. You have to go after buyers.

The Fix: Pre-Qualify Clicks with Ad Copy

Here’s the simple change I made that fixed it. I pinned a clear sales message in Headline 1 — “Up to 50% Off EOFY Sale” — that filtered for intent and created urgency.

Sounds crazy simple, right? It is.

The result was a lower CTR, from 6.4% to 5.61%, and a lower CPA, from $13.13 to $11.28.

But here’s the big one. This headline improved conversion rate from 4.76% to 6.29%.

The extra bonus is improved revenue too, shown by the difference in ad spend and ROAS. The only reason that number isn’t higher is it was added late and didn’t get the same ad spend as the previous one.

Now, this doesn’t just apply to sale periods. Fewer, better-qualified clicks always leads to higher conversions. The trick is in how you qualify interested shoppers, as that depends on who you’re targeting.

How to Apply This to Your Store Now

1. Add a qualifier in your headline. Some good qualifiers are pricing, location, discount, or audience demographic. For example, “Starts at $25” or “For Remote Executives”.

2. Optional: Pin that headline to position 1, or another position that makes sense for the flow of the copy.

3. Compare CTR, CPA, and conversion rate after 5–7 days. Even if CTR drops, the clicks will be higher quality, so CPA should lower and conversion rate should increase. The bonus is that total revenue sometimes jumps too.

That’s a quick win. This next part is where most brands accidentally make things worse because after fixing click quality, they fall straight into that silent budget-killing habit I mentioned at the start.

Budget Killer #2: Too Many Campaigns Starve Google of Data

Many marketers think more campaigns equals more control. Sorry to break it to you… it doesn’t. It often leads to worse decision making.

Too many campaigns spreads your budget thin. Your results become patchy, you can’t tell what’s working, and nothing seems consistent.

When campaigns get less than 20 conversions per month, Google struggles to learn. This is the silent killer. Too many campaigns starve Google of good data and destroy its ability to make good decisions.

We had a client with this exact issue. They tried splitting out more campaigns to “get control”. They basically ended up with one campaign per product and location. After getting confused at the poor results, they called in the experts.

The Fix: Consolidate Campaigns for Cleaner Data and Better Results

This is how we fixed the problem to scale their Shopify store.

First, we combined similar campaigns, such as branded and non-branded, and grouped low-volume products together. Because there were fewer campaigns, it was simpler to understand and make budget decisions, and it gave Google more data to learn.

Then we increased ROAS targets for those fewer campaigns, which doubled new customers and increased impressions and revenue. We had the confidence to do that because we had clearer profit goals from the groups of products.

Their revenue jumped from $20K to $34K.

Not only that, but the store-wide conversion rate went up from 1.67% to 2.37%.

That’s a 59% increase in revenue from consolidating campaigns.

Do you see how merging smaller campaigns gets you better traffic ready to buy?

More campaigns doesn’t equal more control. More campaigns can worsen Google’s learning, scatter your budget, and confuse your decisions.

How to Apply This to Your Store Now

1. Audit your campaigns. Note any driving less than 20 conversions per month.
2. Combine audiences, locations, product groups, or keywords into a smaller number of well-structured campaigns. An important one is branded vs non-branded keywords.
3. Reallocate budgets to those consolidated campaigns to help Google learn faster.

Even once you consolidate campaigns, Shopify stores often hit a ceiling if they stop here. Don’t. This next unlock compounds your revenue fast.

Budget Killer #3: Your Best Products Are Being Held Back

Let’s say you’ve got a Shopping or Performance Max campaign running all your products, but most of the sales come from just 2 or 3 items. The issue is that Google fixates on products that convert early — so products with great potential or a high lifetime value rarely get seen. Your best products can be held back.

We’ve had many clients come to us with this very problem. They tried adding more budget to the same campaign, hoping those forgotten products would catch up.

Nope. Still poor ad impressions. They tried running all products together with equal weight.

But at scale, this destroys profit because products have different margins.

The Fix: Segment and Scale Top-Performing Products

Instead, we segmented “Top Sellers” into a dedicated campaign by tagging high performers. Then we gave them more visibility, tighter and more persuasive copy, and better bidding.

The result for one client was a huge 173.24% increase in revenue as conversions increased from 39 to 89 over the same period of time.

When you group all your products together, your best ones get held back. You don’t need more products, you just need to let your stars shine while giving others a chance.

How to Apply This to Your Store Now

1. Isolate the losers. View products by title, type, or brand. Then group the ones with low impressions and clicks.
2. Identify top-performing products by ROAS, revenue, or conversions. Tag them as “Top Sellers”.

3. Move those into a separate campaign with their own budget and bidding by having a filter at the campaign level. Or you can exclude the products at the listing group level for Performance Max —

— or at the product group level for a Shopping campaign.

4. Scale that top-seller campaign as the products prove themselves to really let them shine.

Make sure you get your free Google Ads profit checklist. After you fix these 3 things, the scariest thing about Google Ads right now is a bunch of default settings that are quietly sucking ad spend. To fix that problem too, check out my other article covering all of my quick top tips to improve your Google Ads performance.

Most AI-written Shopify articles and collections never rank. But after testing dozens of AI workflows, we made one that consistently pushes pages to number one in Google. In this video, I’ll walk you through the exact prompts so you can copy them for your store.

The Shortcut to Finding Rankable Keywords

Here’s where most store owners kill their SEO before it even starts. They guess keywords or trust a tool without context but that’s like throwing darts blindfolded. Every miss costs time, money, and momentum.

We saw this firsthand with a client of ours, TrueTrac. They have two flagship products. No giant catalog.

Everyone says you need a lot of products or a massive content budget to rank high.

Instead, we flipped the script. We started by finding three problem-based keywords their customers were already searching for. But here’s the twist: when we checked Google, the top results weren’t blogs at all. They were collection pages.

So we built collection pages as well by following the exact AI prompts you can get by downloading the free resource at the start of this article.

This instantly created SEO-optimized content that ranked them first for entirely new search terms.

This generated hundreds of free clicks made up of people ready to buy because problem-based searches convert.

Here’s the real lesson: SEO isn’t about churning out content. It’s about matching searcher intent. This is what Google loves.

How to Find Low-Competition Keywords Step by Step

Here’s how you do it:

Step 1: Grab a product or collection name from your store.

Step 2: Plug it into Ahrefs or Semrush.

Step 3: Filter for KD 0–10 and domains under DR 10. Translation: look for terms where small sites already win.

Step 4: Search them in Google. If the top results are collections, don’t waste time writing a blog. Build a collection page.

Now you’ve got your first batch of SEO-ready topics without writing 50 random blog posts. But keywords alone don’t rank. The structure of your page makes or breaks it and this is where AI gives you an unfair advantage.

How to Use AI to Rank: Structured Content Right From the First Draft

Most people still grind away at SEO articles the old way, typing for hours, rewriting paragraphs, and praying Google notices. And then… nothing. Their post disappears on page five, buried, never to be seen. That’s not just frustrating. It’s wasted traffic, wasted time, and in many cases, lost revenue.

For TrueTrac, we tested dozens of different AI workflows. Most of them looked good on paper, but the drafts still flopped in search. Until we cracked a system that completely changed the game. Instead of fighting Google, we built custom GPTs that structure content exactly how Google wants it.

And for collection pages? Google doesn’t want fluff. It wants precise answers to exact queries. That shift alone cut our build time for collections from 2 hours to 20 minutes.

Here’s how it works. Say I want to rank a collection for “baby summer dresses”. Instead of guessing or outlining from scratch, I just drop that phrase straight into the GPT.

In seconds, it generates a clean draft that’s already optimized for structure and search intent. You can even test it yourself. I’ve linked free versions of both the article GPT and the collection GPT in the downloadable resource at the start of this article.

At that point, all I have to do is skim for details and polish. And just like that, I’ve got traffic-ready content without the grind.

That’s the raw power of AI workflows. But here’s the catch (and this is where most people fail). A perfectly structured draft won’t rank if you stop here. And that’s where the next step comes in.

Don’t Hit Publish After Draft One

Hitting publish after draft one is the single biggest SEO mistake. It’s why so many posts sit lifeless on page five, invisible to anyone searching.

Every time you skip this step, you’re basically handing free traffic to your competitors.

We refused to let that happen at TrueTrac. Instead of stopping at new pages, we refined them. The difference was night and day. By comparing each draft against the top three results, the pages went from zero traffic to 895 clicks in just three months.

That’s hundreds of ready-to-buy visitors from searches that competitors once owned.

How to Refine Your AI Content Against Competitors

So how do you actually do it? With AI.

The same prompt I’ve made for you handles all of this automatically. All you’ve got to do is drop in your collection name and paste the top 3 competitor URLs. That’s it.

In seconds, it breaks down the exact questions people are asking, shows you what competitors are covering that you’re not, and spits out a list of real SEO upgrades ready to copy and paste.

It’s not vague fluff like “add more images.” You get a precise, competitor-backed checklist of content gaps and improvements. That’s how you leapfrog straight past page five without any guesswork.

The scary part about AI today is that even if you master this process, Google is still stealing your traffic with AI Overviews. This means less sales for you from organic search. So learn this simple Shopify SEO trick that’s already beating Google’s AI and how you can protect your clicks before they vanish.

If your Shopify store is getting crushed by high Google Ads CPCs, this new Google Ads keyword targeting strategy does the opposite. I’ve used this to lower cost-per-click by 500% and scale profitably.

In this Google Ads tutorial, I’ll show you the exact framework, the proof behind it, and how you can implement it step-by-step in your own account.

Now before you think you know where this is going, this isn’t about “just find low competition keywords.” That advice belongs in a 2016 blog post with broken screenshots. And it’s not a Quality Score hack either. When your clicks cost more than your profit margin, scaling is hard and sometimes mathematically impossible.

Most Shopify brands are fighting over the same keywords like “face cream for women” and “organic protein powder.” And this is why you can end up paying $4, $6, even $30 per click. At that point, you’ve got to be donating a kidney for every click you get.

The Core Mistake: Bidding in the Most Crowded Auction on the Internet

Here’s the mistake. You’re bidding in the most crowded auction on the internet. Every brand wants the “buy now” traffic, so everyone piles into the same commercial keywords and Google rewards whoever is willing to pay the most.

But here’s the shift that got this brand’s clicks for 500% less than the average cost per click on the account. Instead of targeting commercial keywords, I started targeting problem-based informational searches that the product solves.

Let me show you what I mean. You’ve got to do this right, otherwise you’ll just waste money on clicks and get no sales.

If you type in something like “buy dog food,” you’re walking into a knife fight. Everyone is armed. Everyone is angry. Top-of-page bids are $8.

Now compare that to “what should I feed my dog.” These keywords are all 2 and 3 cents. There are some great keywords like “what food should dogs eat.” Google sees a problem. Advertisers see cent clicks nobody else wants.

The core need is similar to what to feed your dog. There’s slightly different intent, but it’s a completely different auction that causes costs to be 10x cheaper.

Both people care about feeding their dog. But one costs 100 times more.

That’s the opportunity, and almost no brands take it.

Why? Because it takes more effort to make this cheap keyword profitable. You can’t just send this traffic to a product page and hope it converts. You need a matching landing page and a campaign structure to make this work which I’ll show you below.

3 Reasons Why This Google Ads Keyword Strategy Works

Here’s what you’d do instead. You’d build a simple list-style landing page titled “What should I feed my dog” or “What to feed your dog.” Inside that list, you educate. You give real value. And one of the solutions is your dog food. Not pushy. Not aggressive. Just positioned naturally as the best fix.

This works for three reasons:

1. You’re entering cheaper auctions, so less competition automatically drops CPC.
2. Informational searches often have higher total search volume. They’re more top of the funnel, so naturally the audience is bigger.
3. It’s incremental revenue. This is cold traffic your competitors are completely ignoring. You’re not attracting existing buyers but rather, creating demand earlier in the journey.

Now, this isn’t a magic strategy for every Shopify brand. It only works if your product solves an actual problem people search for.

• If you sell skincare products, people search “why am I breaking out all of a sudden?” or “how to get rid of acne fast.”
• If you sell supplements, they search “why am I always tired?” or “how to boost metabolism naturally.”
• If you sell hair care products, they search “why is my hair thinning?” or “how to fix damaged hair at home.”

Those are real problems with real search volume, and most Shopify brands selling those products are completely ignoring them in Google Ads. But if you sell something without a clear, urgent problem (like abstract wall art), this strategy doesn’t really work. No one panic-searches wall art at 2am.

How to Find the Right Problem-Based Google Ads Search Terms

So the real question becomes: how do you actually find the right problem-based searches to target, and know which ones are worth building around? This is where most people get it wrong.

They find one or two keywords, build a single advertorial, test it briefly, and when it doesn’t scale instantly, they assume the strategy does not work. That’s a tiny sample size, not a strategy. This approach only works when you go wide first. You need to build the master list before you build anything else. Otherwise you are trying to win the lottery by buying one ticket and calling it a strategy.

The best place to start is not some expensive SEO tool. It is your own Google Ads account. Go into your Search Terms report and look at what people are already typing before they click. Then filter for informational intent — keywords that contain “how,” “why,” or “when.” Those are problem-first searches. That is exactly what we want. Add them to a spreadsheet.

From there, you expand. Take those core phrases into Keyword Planner and look for related variations.

Since we also do SEO for Shopify stores at my agency, I’ve discovered that Google Search Console is another fantastic source to see what problem-based terms you are already getting impressions for. Filter by impressions and browse the whole list to find more ideas to add to your sheet.

If you use Ahrefs, you can also browse the Questions report to uncover even more angles.

The goal is not to find one winner. It is to compile at least 10 relevant problem-based searches. I suggest doing 100. Tthe biggest mistake with this strategy is running only a few advertorials.  Scale comes from coverage.

Turning Problem-Aware Traffic Into Buyer-Ready Customers

But here’s the catch; cheap clicks can destroy your account just as fast as expensive ones if they don’t convert. If you send informational traffic straight to a product page, most of them will bounce. When they bounce, Google does what Google always does; it raises your CPCs and limits your scale. Cheap traffic becomes expensive again, and the whole advantage disappears.

That is why the real leverage is not just finding lower-cost searches. It is turning problem-aware traffic into buyer-ready customers. And that comes down to one thing: alignment. Your page must match the intent of the search perfectly.

The first rule of building these advertorials is simple. Do not guess. You already have proof inside your own data. Go into Google Analytics and find blog posts or pages that are driving strong engagement or revenue.

Then open Google Search Console and look at the exact queries bringing people to those pages.

Those queries are validated demand, and those pages are validated assets. You are not creating something new. You are scaling what already works. That is why combining SEO insight with Google Ads is so powerful.

How to Structure Advertorials That Convert

Now here is what separates advertorials that compound performance from ones that burn budget. The structure must mirror the searcher’s intent from the first line.

If someone searched “benefits of acupressure mat“, your opening paragraph should describe that frustration clearly and specifically. When people feel understood, they stay longer.

I did just that in this advertorial for a brand to answer the search “benefits of acupressure.” You’ll see the headline speaks directly to the benefits of an acupressure mat — there’s not a headline like “Why Acupressure is Good for Your Body.” It’s very direct. The opening image summarizes key benefits. The first sentence kicks off into the conversation already going on inside the person’s mind without rambling.

This is where most people go wrong. You don’t sell. You educate them. Explain what is happening and why the problem exists in a clear, logical way. Use visuals that reinforce the issue, whether that is a comparison, a product in use, a diagram, or a real-world example. Here you see helpful graphics I made to support the content so it shows, instead of just telling. This is how you make good SEO content.

Next, build authority with research, expert insights, or credible explanations. I link to the Cleveland Clinic, Sleep Foundation, and other authorities.

I’ve then got actionable advice you can try immediately so the page delivers real value. Once you’ve built trust, you can lightly pitch the product. At that point, it feels like a logical solution rather than a sales pitch.

Instead of saying “Buy now,” use a softer transition such as “If you want a simpler long-term solution, you can see how this works here.”

Higher engagement improves Quality Score, and stronger Quality Scores lower your cost per clicks even further. This is where the compounding effect begins.

Google Ads Tutorial: Setting Up the Campaign

Once your advertorials are structured correctly, it is time to put paid traffic behind them. And this is where people overcomplicate everything. You don’t need a complex funnel. You need control and clean data.

Start with a simple Search campaign. Nothing fancy.

Set your daily budget at roughly two times your target CPA. If your target CPA is $30, your daily budget should be around $60. That gives the campaign enough room to breathe and gather meaningful data.

Use the Manual CPC bid strategy to start.

Don’t hand control to automated bidding until you’re getting a sale per day. Once you get a sale per day, automated bidding will be more accurate and help you scale. So that’s about 30 conversions a month. Make sure you have conversion tracking set up correctly in your Shopify store before you start, otherwise the data you’re feeding the algorithm is worthless.

Another thing you must do for this new strategy is to exclude brand terms. This campaign is not about harvesting people who already know the brand. It is about acquiring new customers from problem-based searches.

In terms of ad group structure, create one ad group per advertorial or landing page so you can see which pages are performing and the relevant keywords associated with that ad group as well.

This lets you optimize them and makes testing and scaling much cleaner. Each search theme gets its own tightly aligned landing page. No mixing. No broad grouping.

Matching Your Ad Copy to the Search Intent

Your ad copy should match intent, not sell aggressively. The headline should closely mirror the search term. If the keyword is “acupressure mat benefits,” your headline should match. For example, “Top Acupressure Mat Benefits.”

The description should reinforce the education angle, not push a discount: “Learn How An Acupressure Mat Can Reduce Pain, Improve Sleep, And Lower Your Stress.” Continue the conversation. Don’t change it.

This match drives higher click-through rates and ultimately better Quality Scores to save you money on every click. And when everything aligns, the algorithm works with you instead of fighting against you.

Using Dynamic Search Ads to Scale Coverage

Now, if you want an even simpler version of this strategy, there is one. Instead of manually building out every keyword, you can run a Dynamic Search campaign that targets your advertorial content.

When creating a new search ad group, select Dynamic instead of Standard. Then for the targeting, if you’re using Shopify, select a rule of “/blogs” or “/pages.”

This allows Google to match search queries to your blogs or pages where advertorials exist for Shopify brands. You can also create exclusion rules to avoid advertising content like your privacy policy.

You do not have to do expensive keyword research. The system uses the content on your site to determine when to show your ads. The better your SEO, the stronger this performs. Clear titles, strong on-page structure, and well-written content give Google more signals to match the right searches.

When your content is strong, Dynamic Search becomes a multiplier. It captures long-tail queries you might never think to bid on manually. If manual search gives you control, Dynamic Search gives you coverage. And when paired with the structured advertorial system you built earlier, it becomes a scalable layer on top of everything else.

Together, they turn this from a tactic into a complete acquisition system. Most Shopify stores can hit a ceiling, even with cheaper clicks, because they misunderstand how Google Ads actually works behind the scenes. You can double your ROAS and still lose money if you ignore the way the system optimizes your traffic. This is exactly what the top-performing brands scaling Google Ads are doing differently right now.

Get my free Google Ads checklist for Shopify stores to start building more profitable systems while simultaneously cutting your advertising costs.

Most Shopify brands misuse ChatGPT and lose sales without realizing it. After two years building AI systems for 6, 7, and 8-figure stores, I’ve narrowed it down to the top 4 insane ChatGPT hacks to blow up sales.

This first one is critical because it fixes the core issue in AI that holds most brands back.

1. ChatGPT Hacks for Shopify: Unleashing the Human Mode

There is a hidden setting inside ChatGPT that instantly makes everything it writes sharper, cleaner, and far more human. Most brands don’t even realize the problem is baked into the default settings, and that is exactly why this hack feels like cheating. Here is how it works: Go to Settings → Personalization → Custom Instructions. Copy and paste a few instructions in the description I’m about to show you and you’ll save yourself time editing anything ChatGPT outputs.

And this little tweak becomes crucial in about 60 seconds when I show you the hack most brands had no idea you can do to save dozens of hours a month. Once I switched on this “Human Mode,” something clicked for me. You see, AI leaves fingerprints. It’s like seeing the seams in cheap fabric. Once you know what to look for, you cannot unsee it.

Identifying AI Writing Flaws

There are five tell-tale signs your writing in email copy, social media posts, video scripts, and blog articles are AI-generated. One on its own doesn’t prove anything, but when a couple shows up together, the writing feels artificial and your conversions take a hit.

1. Em dashes everywhere. Sentences like: “Balancing work, family, fitness, and wellness requires intentional choices — especially when it comes to nutrition.” You have seen this. AI loves dramatic dashes even when they are not needed.

2. Filler phrases. “In today’s fast-paced world…” “This innovative solution…” These add nothing, yet AI throws them in constantly.

3. Repetition and wordiness. Ask AI a simple question like: “Write me a hook for a video script” and it gives you a paragraph that takes longer to read than if you wrote it yourself.

4. Formulaic structure. Patterns like: “Protein is more than a muscle-builder. It is the foundation for overall vitality.” It is technically correct, but it’s soulless.

5. Hallucinations (the dangerous one). This is when the model confidently invents information. It makes up product features, fills gaps with guesses, and presents false details as if they are facts. This is a silent sales killer.

Fix these five issues and your ChatGPT output immediately sounds more human and more trustworthy, and you save hours of prompting. Once your AI stops sounding robotic, that is when the real magic starts. Because the rest of the hacks are pure revenue builders.

2. AI Customer Research for Shopify

Most ecommerce brands fail to grow long before the copy starts. They skip the deep market research that makes every ad, every headline, and every landing page actually convince someone to pull out their credit card. This makes everything afterwards like pushing a boulder uphill.

The approach I use comes from Stefan Georgi. His research method gets you so dialed into your customer that the sentences almost write themselves. You stop guessing. You stop forcing copy. You start speaking in a way that actually connects.

Before we write a single line, we create four core documents. These give the AI clarity, accuracy, and trust. These are the same documents Fortune 500 companies spend serious money on. They are not optional. They are the difference between copy that converts and copy that doesn’t.

The Total Research Method Document

This is the most important one. I copy the prompt, enable deep research mode, and upload a document I’ve made called The Total Research Method. This is my ultimate document that I use for all my market research. With it, you’ll discover everything you could dream up from frustrations, fears, psychographics, gaps in the market, and more.

The Lazy Avatar Cheat Sheet for Shopify

Once I’ve got that, I complete The Lazy Avatar Cheat Sheet for Shopify. This maps out who you are actually talking to. Their age. Their goals. Their fears. When your copy reflects that inner world, trust forms instantly.

The Irresistible Offer Brief

Now, onto the third document which is the irresistible offer brief. Again, I copy the prompt and upload the document. This is where your angle and your unique mechanism come from. It is how you explain your product in a way that feels different from everything else they have tried.

The Sequence of Beliefs

Lastly, is the sequence of beliefs document. I copy and prompt and upload the document. These are the beliefs someone must hold before they can confidently say yes. If your prospect is skeptical or jaded or convinced that nothing ever works for them, your copy has to address that head on.

Once you have these four documents, writing anything becomes easy. You do not need clever lines. You simply take what the market already told you and shape it into a clear, persuasive message. The AI stops guessing. You stop guessing. Everything flows.

3. Creating Linkable Assets for Shopify SEO

This next strategy is how you get people talking about your brand, and how you get Google and AI platforms to start recommending you without paying for ads. One of the strongest ways to get your Shopify brand mentioned inside AI conversations is surprisingly simple. You need other websites talking about you.

Because here is the truth. Links are the most powerful part of SEO and GEO. They are how Google and AI systems decide who to trust. Every major study from Backlinko, Semrush, and Ahrefs shows the same pattern. The more quality backlinks you have, the higher you rank and the more traffic you get. So if no one links to you, you basically don’t exist online.

With nothing but ChatGPT, I built a complete interactive page for a Shopify brand. The planning, the copy, the design, everything was produced with AI. And the crazy part is that it does not feel like AI at all. The best linkable assets share three traits. They are credible. They are data-driven. And they give people a unique reason to reference them.

Once the asset is done, you can pitch it to journalists, run a press release, or reach out to bloggers with one simple goal. Get them to link to the asset. This is where the magic really starts happening across search and AI platforms.

Learn how to optimize your Shopify SEO in AI to ensure customers can find you easily.

4. Replicate High-Performing Ads: The Ad Assembly Line Method

Now here is where things get stupidly powerful. Stop guessing what makes a high-performing creative.

I created this simple AI system to give myself another way to make proven ads for Meta that takes only minutes. I call this the Ad Assembly Line Method. It is inspired by Henry Ford’s production line because he figured out how to repeat what works with precision instead of rebuilding the process every single time.

By following this system, you’ll go from nothing to full brief within minutes to help you scale Meta ads. That includes proven b-roll shots. No writer’s block. No overthinking.

Step 1: Find a high-performing ad. The easiest way is with Foreplay. Go to a brand whose ads you admire. Select a filter of status Still Running. Select the format of Video.

Then, look for a video ad that has been running for at least 30 days. Longevity is the greatest signal you have that the ad is profitable.

Step 2: Download the ad. Foreplay makes this simple. If you prefer other tools, Chrome extensions and online downloaders work too.

Step 3: Get a transcript. Foreplay gives you the transcript instantly. OpenAI have developed their Open Source Whisper to transcribe, but this is unavailable in ChatGPT. You can use a free tool like freesubtitles.ai, which uses Whisper to get an .SRT file.

Step 4: Use this prompt. Upload the ad and use this prompt in ChatGPT. Modify the branding, brand voice, and product in the prompt as necessary. A key part in the prompt is extracting the scenes. The quality and extraction details help it complete the job.

Step 5: Finalize the brief. After some processing, you’ll get a good script coupled with suggested footage to use for the video. You end up with a shot list and a creative blueprint that your editor and a creator can follow for Meta Partnership Ads.

Don’t forget to get all the prompts and documents I’ve used in this guide for free within the Shopify AI Growth Kit.

If you get overwhelmed by doing Facebook ads, this video is for you. The old way of doing the full ad creation process yourself is dead, and I don’t mean because of AI.

So in this video, I show you the new, easier, and cheaper way to make ads using Meta Partnership Ads, so you can scale your Shopify brand fast.

Why This Ad Must Be Part of Your Meta Ads Workflow

The old way of doing Facebook ads is doing the whole ad creation process yourself. From ideation to scripting, briefing, shooting, and editing. You then spend as much money as you profitably can on the ad. The method works, but you can only make a few good ads per month doing this. It consumes your time.

One of the most important ways to scale Facebook Ads today is making lots of ads so you discover what gets sales.

Another problem is a lot of Shopify brands are finding that ads today are expensive. You have to pay to beat out an increasing number of competitors in the ad auction.

The New Solution: Meta Partnership Ads

So here’s the new and better way that solves these problems. True Classic sells clothing and recently expanded into a kids line. In the Facebook Ads library, I click on Branded Content from the top. Here you can see what’s called a partnership ad. These used to be called branded content ads and even whitelisting ads. Today they’re called partnership ads and I’m going to show you why doing more of them increases profit and the one simple tactic with partnership ads that works incredibly well for Shopify brands to blow up sales.

On Nov 20, there’s a creator called The Blumers with brand partner True Classic. If I click to view the Instagram Reel, you can see “Paid partnership with True Classic”. Most brands do partnership ads through an Instagram post because that’s where creators get the most views. This isn’t a problem as you can still run an Instagram Reel on Facebook.

Want to know what’s insane about this type of ad? Meta has designed the auction so it costs less to run partnership ads AND it gets in front of new people wanting to buy. It’s crazy. When you run partnership ads, the ad uses signals from both accounts to improve performance.

Advantages of Meta Partnership Ads for Shopify Brands

You get access to new niche audiences through your influencers, similar to how Facebook ad targeting works when Meta learns from broad signals. That’s new potential customers which is a big challenge for brands spending $10,000 or more a month on ads. This is another big advantage of partnership ads when done right. The less audience overlap you have, the more likely you are to get better results for less spend.

How to Utilize Meta Partnership Ads Effectively

When someone sees a creator posting about your store, it instantly makes you look more legit. Your ads reporting metrics will likely look better. If a shopper sees your ad, then a few days later sees an influencer “posting” about it, it feels less like a coincidence and more like a trend. That repetition tips people over the edge to finally check you out.

Also, the best way to access new audiences is to have ads of people that look and sound like your target audience. In another True Classic partnership ad, you’ll see they have a young lady for their clothes in order to grow their female customers. Very important.

The Cost Efficiency of Meta Partnership Ads

Meta gives you a discount through a bid multiplier, which overcomes a common sticking point that keeps Shopify Facebook ads from scaling. So let’s say the ad would normally enter the auction at a $25 CPM. This means you’d normally pay $25 to get in front of 1000 people. For the partnership ad, it gets an automatic discount bonus in the auction, so you pay something closer to $18 or $15.

This isn’t a hack. Meta has biased the system. I believe they do this to incentivize brands and creators to make better content. When better content is made, creators, brands, viewers, and Meta all win.

Finding Influencers and Creators for Your Meta Partnership Ads

First, you need to look beyond your usual list of creators. Ask yourself what other audiences can your product serve? You’ve got to answer this question first because knowing your audience is the real power of partnership ads.

Instead of pouring budget into one big creator to begin with, split your test budget across a few creators with different audiences. Fitness coaches, book reviewers, even someone local with a loyal following. A part of success with partnership ads comes down to picking creators who connect on camera.

The best ones make you feel like they’re talking right to you, not just performing for anyone who will watch. You’ll notice this with great YouTubers and short-form storytellers. That one-to-one feeling is a factor that grabs attention and gets people to watch longer.

Ultimately, you want to get genuine partners, not just content factories for hire. The best creators care about their community, and it shows. You’ll see this authenticity in their comments and how followers engage with their content.

5 Ways to Source Creators for Partnership Ads

To find good influencers to work with, you first need to know how to search them, then rate and filter them. A good source is your existing audience. Does your brand have any big followers already? DM them. A big appeal of partnership ads for these people is that they don’t have to post on their page.

To find new creators, go on Instagram then check the comment sections of creators you already like. Find out who’s attracting a lot of likes on their comments. These can be influencers who tend to support and interact with each other, making it easy to discover new faces who might be a good fit.

I suggest you use tools like Insense to find someone new whose audience fits your target demographic and geographic criteria. You can also use Meta’s Creator Marketplace to find relevant creators. This is free to use.

A third great source of creators for partnership ads is networks. When you work with a creator, I suggest asking them who else they can recommend. They’re often happy to recommend friends from their own networks.

The fourth and easiest starting point is a Founder’s Story ad. Run a personal narrative about your brand’s origin directly through the founder’s personal page. It’s a low-friction way to humanize the brand while mastering the partnership ad process.

Another source is the creators of other brand. Since the “Branded Content” filter in the Ad Library often misses ads, try these workarounds:

• The Keyword Hack: Search the brand in the Ad Library, then use Cmd+F/Ctrl+F to search the page for “with [Brand Name].”
• The General Search: Perform a broad search for the brand or their specific domain name in the ads library. This surfaces ads run by third-party creators or partners that don’t appear on the main brand page.

Working with Influencers and Creators

Now that you’ve got your eyes on a partner, think about what percentage of your ad spend budget you would be willing to trial on this new type of content. After that, break that budget up to decide what to spend on each partner.

Next, you need to send each creator a unique brief. You can modify previous briefs to save yourself time. But if you want the best chance of success, I highly recommend planning the script and b-roll to go with it.

Tell them to get creative within those guidelines and slightly modify the script if it helps them be more authentic. Creativity thrives within restrictions. As for deliverables, ask for 2 main ads with 10 hook variations (first 3 seconds of the ad) to mix and match. That’s 20+ unique ads for you from one shoot.

Hooks matter a lot because the majority of people don’t watch beyond the first 3 seconds. Having different hooks lets you test how to best grab attention and increase engagement.

Expect the total process of creation and distribution to take about 60 days. First 30 days for all steps up to shooting content. Next 30 for running the ad. Do a one-time payment for the 60 days to keep it simple.

How You Create the Ad in Facebook Ads

To create the ad, I’ll quickly show you the process. Let’s say I’m the influencer and I’m going to run ads through Digital Darts. In the Business Manager, from the left I click the Partnership Ads Hub. I go to Partners then click Add Partnership. Search the person’s username for the ad partner.

After that, select the business asset you want to run the ads on, which is Digital Darts for this example. I send the request through. Now, here’s what it looks like from the creator’s perspective. You can’t do this on a computer, so this is what it looks like in the Instagram app.

All I’ve got to do is review the request then accept it. Simple. This process is so much easier than it used to be.

Then in ads manager, when creating the ad, enable “Partnership ad”.

Then the last thing you need to do that’s unique in this type of ad is select the identities.

Since I haven’t linked my personal Facebook page, it’s unavailable so I can just use my Instagram account. If you also get permissions to run from their Facebook page, you can select it here. For the first identity, I suggest you select the person you’re working with as this name appears first at the top of the ad.

Tips to Make Partnership Ads Even More Effective

Once your ad is running, here’s some bonus strategies to really blow up your Shopify brand. When you get a creator who does well, you can make it even better by creating a custom landing page for the creator. This can squeeze out even more profit from partnership ads.

A second tactic is to consider a performance bonus to your creator partner if the spend behind their ad reaches a certain amount per month. For example, they get 5% of spend if an ad goes over $50k+spend/mo. You’ve got to make sure you cover your costs. This incentivizes the person to iterate and spend time making better ads.

For more insights to scale your Shopify store through smart marketing, subscribe to our free newsletter for more tactics and videos.

AI video ads just got dramatically easier for Shopify brands.

In 2026, tools like Sora 2 allow you to go from strong ad copy to usable Facebook, TikTok, and YouTube video ads in minutes. No cameras. No studios. No expensive production crews.

But speed alone does not equal performance.

Most Shopify brands will use AI video the wrong way. They’ll generate random clips, tweak endlessly, burn ad spend, and wonder why results never improve. AI video is not magic. It’s leverage. Used correctly, it saves time and money. Used poorly, it creates chaos and risk.

This guide explains how to use AI video properly for Shopify ads, including the correct workflow, the legal pitfalls to avoid, and how leading ecommerce brands are scaling creative safely.

Why Short AI Prompts Fail for Shopify Ads

Short prompts fail because they collapse too many decisions into a single instruction. An ad is not one thing. It’s a sequence of strategic, creative, and compliance choices that normally happen across planning, production, and post-production. When you hand all of that to a single sentence, you are effectively asking the model to invent a marketing strategy on your behalf.

The problem is not that Sora produces bad output. It’s that it produces plausible output. The video looks polished enough to feel usable, but the fundamentals are missing. The hook is generic. The pacing doesn’t match the platform. The story doesn’t resolve clearly. And most importantly, the ad is not anchored to a specific customer or problem.

That’s why short prompts feel productive at first and disappointing later. They optimise for speed, not clarity. In performance marketing, clarity always wins.

This is also where brands waste the most time. They generate five or ten versions, tweak minor details, and keep hoping one variant will magically work. But if the initial prompt lacked structure, every output inherits the same weakness.

The goal is not to prompt faster. The goal is to remove ambiguity before Sora ever generates a frame.

When you write something like “Make a product animation ad for Olipop”, Sora will often give you something that looks impressive at first glance. You might get smooth motion, clean colours, and a lineup of cans that feels close to what a real brand could run. That surface-level polish is exactly why short prompts are so seductive.

Under the hood, every one-line prompt collapses dozens of decisions that would normally be made deliberately before an ad ever gets filmed. When those decisions aren’t specified, Sora has no choice but to invent them.

That’s the real failure mode of short prompts. They force the model to guess the parts that actually determine whether an ad performs.

At a strategic level, Sora has to infer who the customer is, what emotion the hook should trigger, and what kind of story the ad is trying to tell. Is this meant to create curiosity, urgency, relief, or humour? Is there tension before a payoff, or is it a straight product reveal? None of that exists in a one-sentence prompt, so the model fills in the gaps.

On the production side, the same thing happens visually. Sora has to guess how the product should look on screen, how accurate the packaging needs to be, what filming style to mimic, and how fast the edit should move. That’s how you end up with ads that technically look impressive but feel completely wrong for the product.

Then there are the guardrails. A short prompt gives no guidance on what text is allowed on screen, what claims are acceptable, or what must be avoided entirely. Without constraints, the model may imply endorsements, fabricate testimonials, or generate uncanny human details that quietly destroy trust.

When all of these decisions are left implicit, the output becomes unpredictable. That’s why short prompts can look “almost good” while still being unusable for paid ads. For Shopify brands, nearly good creative still wastes time, still burns budget, and still fails at scale.

The fix is simple: stop prompting for a video. Start prompting for a shoot.

The Legal Risk Most Brands Ignore With AI UGC

AI-generated UGC sits in a legal grey zone that most brands underestimate. The issue is not whether AI video is allowed. The issue is how it’s presented.

When an AI-generated video implies a real consumer experience, endorsement, or testimonial, it crosses into regulated territory. That’s true even if no specific claims are made. The mere implication that a real person is sharing a real experience can be enough to trigger compliance issues with ad platforms and regulators.

This is where a lot of agencies and creators are currently giving dangerous advice. The promise is that AI UGC is “indistinguishable” from real creators. Even if that were true visually, it doesn’t change the legal reality. Passing off synthetic endorsements as authentic is exactly what consumer protection laws are designed to prevent.

There’s a second layer most people miss: provenance. AI-generated files can carry metadata that identifies how and where they were created. Even if you never disclose that content is AI-generated, the file itself may still reveal it. That creates risk long after the ad has launched.

The takeaway is simple. AI is safest when it shows rather than claims. Demonstration beats endorsement. Explanation beats testimony. When AI stays in its lane, it becomes a powerful tool instead of a liability.

A fast way to get sued with Sora is to make fake testimonial UGC. Why? If you generate a talking-head “creator” saying they love your product, you’re creating a fabricated endorsement.

And it’s often trivial to identify AI-generated content using basic verification tools. With a simple provenance check, you can clearly see when a video has been created with OpenAI tools like ChatGPT or Sora.

The Three-Part Framework That Makes Ads Convert

AI doesn’t change how ads work. It just accelerates how fast you can make them.

The same three-part structure that has driven performance ads for years still applies. You need a hook that earns attention. You need tension that keeps someone watching. And you need a payoff that clearly delivers value.

What AI changes is the cost of experimentation. Instead of committing to a single execution, you can test multiple hooks, pacing styles, or visual metaphors quickly. But the structure still has to be there. Without it, faster production just means faster failure.

The framework gives AI something to aim at. It turns generation into execution rather than guesswork.

• Hook: Capture attention immediately
• Tension: Create a reason to keep watching
• Payoff: Deliver the product benefit clearly

Sora Workflow Tips- How To Write Better Sora Prompts For Shopify Ads

Good Sora prompts read less like commands and more like production briefs. They describe a moment, not just an outcome.

Instead of telling the model what you want to see, tell it what is happening. Where is the scene? What is the viewer supposed to feel? How quickly should the moment unfold? What detail matters most?

This level of specificity removes ambiguity and gives the model fewer chances to invent things you didn’t intend. It also makes outputs more consistent, which is critical when you’re iterating toward performance rather than novelty.

The goal isn’t cinematic perfection. It’s believability inside a social feed. Prompts that reflect how ads are actually shot perform better than prompts that chase spectacle.

The difference between ‘make a product ad’ and ‘handheld phone shot, natural light, first-person angle, fast pacing, no dialogue’ is the difference between AI guessing and AI executing.

And even when the output looks convincing, AI-generated video doesn’t exist in a vacuum. Modern platforms increasingly attach provenance data that reveals how content was created and edited.

Product Accuracy Is the Biggest Challenge

Brand accuracy is where most AI video falls apart. Logos drift. Colours shift. Packaging warps. Faces glitch at the edges of frames.

This isn’t a reason to abandon AI. It’s a reason to constrain it.

Accuracy improves when you reduce the number of variables being changed at once. Generate a baseline that’s close, then refine one element at a time. Adjust framing before lighting. Fix packaging before motion. Clean up the message before adding effects.

AI responds better to incremental direction than sweeping changes. Treat it like a junior editor, not a mind reader.

Use Remixing to Improve Ads Without Starting Over

Remixing is where AI video becomes efficient. Once you have a usable foundation, small, targeted changes tend to deliver outsized gains.

Instead of regenerating an entire video, the smarter move is to isolate a single moment and improve it. Adjust the hook timing. Swap a reaction. Clean up a transition that feels slightly off. These micro-changes are faster to test, easier to evaluate, and far more predictable than starting over.

This is also what keeps performance stable. You’re optimising something that already works, not rolling the dice on a brand-new output.

In practice, this means treating AI like a structured production workflow, not a magic button. You’re defining scenes, intent, timing, and purpose upfront, then refining individual elements until the ad does exactly what it’s supposed to do.

Edit AI Video to Hide Flaws and Improve Performance

Post-production matters more with AI video than with traditional footage. The goal isn’t to eliminate every artifact. It’s to keep the viewer moving.

Quick cuts prevent scrutiny. Cropping removes edge glitches. Audio cues carry emotional weight even when visuals aren’t perfect.

Most viewers don’t analyse ads. They feel them. Editing controls where that feeling lands.

When flaws exist but don’t linger, performance rarely suffers.

What This Looks Like in a Real Workflow

In practice, high-performing teams treat AI video like a production line, not a creative brainstorm. One person owns the strategy and structure. AI generates raw material. Editors refine pacing and polish. Media buyers test and feed results back into the next iteration.

This separation of roles is what prevents AI from becoming a bottleneck or a novelty tool.

Batch Creative to Save Time and Scale Faster

Batching turns AI video into a system instead of a novelty. Generate multiple variants in parallel, then refine the winners.

This keeps momentum high and avoids bottlenecks caused by waiting on single outputs. It also improves decision-making. Patterns emerge faster when you can compare options side by side.

Speed matters, but throughput matters more.

Use AI to Upgrade Existing Winning Ads

The most valuable use of AI video isn’t replacement. It’s enhancement.

If an ad already converts, AI can extend its life by adding missing moments. An explainer shot. A macro detail. A new hook to test against the original.

This protects performance while expanding creative coverage. You’re not gambling with proven assets. You’re reinforcing them. That’s how AI becomes a multiplier instead of a distraction.

As a next step, download my free template to understand your customer avatar more deeply so you can tailor your ad creative and copy to their direct needs.

Are you still stuck on outdated tactics thinking audience targeting improves your Facebook ads? Even Meta’s own engineers say this kind of micromanaging actually cripples their algorithm.

The better way to run Facebook ads has little to do with manual targeting and everything to do with your creative. This is an easy, proven strategy we’ve used to scale dozens of Shopify brands, and it works no matter your niche or experience.

The Andromeda Update: How Meta Changed Facebook Ad Targeting

When Meta launched Andromeda, it marked a major shift in how ads are delivered. Meta ads have now moved away from static, profile-based targeting and toward behaviour-driven, real-time personalisation. Andromeda is a machine learning–powered ads retrieval engine that boosts personalisation and efficiency, helping advertisers run more relevant, higher-return campaigns.

Interest targeting is a lagging signal. By the time someone follows a page or picks up an “interest,” they may no longer be in a buying mindset. Narrow stacks of interests miss real buyers who don’t fit into a rigid persona.

Instead, Meta’s AI now reads your ad creative to decide who should see it. Your copy, visuals, and emotion provide the signals that guide reach and conversions.

The playbook is simple: stop fighting the system. Let the algorithm handle the matching while you focus on your message and creative.

Creative Is the New Facebook Ad Targeting

Meta tracks billions of signals across its apps and partner sites. It knows what people click, watch, buy, and engage with. This is data you’ll never see in your Shopify dashboard but your creative can activate those signals.

Take minimalist shoe brand, Saguaro, as an example. Their ads zero in on a single core problem—shoes that support natural movement—then tailor the message depending on the audience:

• Outdoor adventurers who want to hike light
• Active yogis and gym-goers battling sore arches
• Seniors seeking joint health, balance, and vitality

The product promise doesn’t change but the audience callout does. Andromeda then matches those creative cues with the right people in real time.

The lesson is simple: keep the problem constant, shift the framing in your copy and visuals, and let Meta’s AI do the heavy lifting on who sees what. Meta Partnership Ads is one great one way to achieve this.

Fix the First Line of Your Ad Copy

Most brands lose the sale in the first sentence. A sunscreen ad that says “Try the new Blue Lizard” is flat and forgettable. It doesn’t signal who the ad is for or why it matters.

Call Out the Audience, Pain, and Solution

A more powerful and targetted line of copy would look like, “For parents who doubt SPF, this sunscreen is kid-safe and non-toxic. It works without harsh chemicals.”

This line speaks to a buyer, frames the fear, and provides the fix. It also gives Meta the context it needs to find more people like them.

Practical Tip: Use Customer Reviews

Start with a customer avatar worksheet. Paste in your own reviews. If you don’t have enough, mine competitor reviews. The goal isn’t to guess, it’s to leverage real phrases, frustrations, and desires straight from buyers. Those words become the raw material for your copy and creative.

When your ad makes the right person think, “this is for me,” you’re feeding Meta the strongest possible signal. Skip this step, and you’re not only making Andromeda’s job harder, you’re burning budget on mismatched impressions.

Broad Targeting Scales Better Than Interest Stacks

With strong creative, broad targeting consistently outperforms micromanaged audiences. Advantage+ campaigns give Meta room to optimize in real time and find buyers you’d never capture with manual filters.

Why Broad Targeting Works

• Maximum reach — no artificial walls blocking your ads from potential buyers.
• Real-time refinement — the algorithm adjusts on the fly to engagement and conversion signals.
• Faster learning — fewer restrictions mean Meta’s AI can train faster and get smarter with every impression.

In practice, set only the essentials. In most cases this will be location and, if it’s truly relevant, gender. Resist the urge to stack interests or narrow your audience. Every filter you add limits Andromeda’s ability to discover profitable segments.

The better play is to put your energy into message and creative, the part that sparks attention, communicates the problem you solve, and drives the outcome you want. Meta will handle the matchmaking at scale.

Use Four Psychological Levers in Your Ad Creative

Great ads don’t just sell products, they reshape how buyers see themselves. They work because they touch on the four universal motivators that drive action:

• Time: save it, gain more of it, or stop losing it
• Money: avoid waste, spend smarter, or protect hard-earned cash
• Effort: remove friction, make life easier, or deliver instant results
• Status: feel admired, capable, confident, or in control

The best ads usually pull more than one lever at once.

Take Saguaro shoes as an example:

“Instant comfort with no break-in.” → Effort

“Stop wasting money on overhyped shoes.” → Money

“Stay active without foot pain holding you back.” → Time + Status

The framework is simple: mine reviews and customer feedback for exact words and phrases. Identify pain points and beliefs, then spin them into multiple copy angles and ad scripts. Keep the product promise steady, but test how each lever resonates with different segments.

When your ads echo what customers already feel and say, they stop blending into the scroll and start converting.

A Practical Facebook Ads Campaign Structure

Even the strongest creative can flop if the campaign setup works against you. The goal is to test smart, feed Meta clean data, and let the algorithm double down on what works without torching budget.

Here’s a structure that balances control with scale:

• Run Advantage+ campaign budgets (CBO): spend automatically shifts toward winning ads in real time.
• Use a broad Advantage+ audience: set location, and only adjust gender if it’s truly essential. No interest stacks.
• Keep tests isolated: give each new test its own ad set so results stay clean and easy to interpret.
• Diversify creative at the ad level: launch 3–5 creatives, each with 2–3 variations of primary text and headlines. Meta’s system will mix and match to surface the best combos.

This structure eliminates wasted spend on narrow interest groups and positions your ads in front of real buyers at scale. Pair it with sharp creative, and you’re giving Andromeda exactly what it needs to match your brand with the right customers.

Old targeting tricks are a Shopify marketing mistake that only holds you back. The game has changed where Meta’s Andromeda engine is built to handle the matching. Your job is to supply the signals it needs by way of creative that calls out the right audience, speaks in their language, and taps into the emotional levers that drive action.

Pair that with a clean campaign structure that gives the algorithm room to optimize, and you shift from fighting the system to working with it. That’s how you cut wasted spend, scale faster, and turn Facebook into a predictable growth engine for your Shopify brand.

As a next step, download my free template to understand your customer avatar more deeply so you can tailor your ad copy to their direct needs.

The number one reason Shopify brands don’t grow fast isn’t because of intelligence. After scaling hundreds of Shopify stores over 10 years, I’ve discovered that slow-growing stores make these eight mistakes.

So in this video, I’ll show you why this year’s growth playbook is already broken, the step-by-step system you can install today to scale your store so fast it feels illegal, and a real brand crushing it using this exact same system so you can do it too.

Why Most Shopify Stores Fail To Scale Quickly

After scaling hundreds of Shopify brands, I’ve seen the same pattern: founders chase first-order profit, squeeze campaigns for break-even returns, and leave no room to learn. They burn out before they ever break six figures.

The problem is simple: they confuse survival money with growth money.

Rent keeps the lights on. Marketing spend should buy answers. Mix those two up, and your store never leaves survival mode.

Nick Shackelford, now head of retention at Brez, proved this point while growing the brand to $5 million in monthly revenue in just two years. In their first quarter, Brez spent between $75,000 and $100,000 not to make money back right away, but to buy learnings before earnings.

Brez paid to discover what headlines resonated, which static ads pulled clicks, and what claims they could actually make around their THC-infused drinks.

Which message lands? Which audience cares? Which offer makes people stop scrolling?

By the end of those first three months, they had mapped out which creatives and which audiences could scale profitably. That’s how they hit $5 million a month while most brands still wonder why their ads don’t work.

The fastest-growing brands know they’re buying answers over clicks or even sales.

Every test is a tuition fee. Pay it, and you earn the right to scale. Refuse, and you’ll keep repeating the same mistakes until the store flatlines.

Ad Spend As Education For Scaling Shopify Brands

Most founders fail because they demand immediate profitability. That pressure kills testing, which kills growth. You don’t need $100,000 to apply this principle.

Even with $500 to $1,000, you can run the same experiments. The lessons are the same but the speed to acquire the lessons changes. Brez compressed their first cycle of market testing into three months.

On a smaller budget, it might take a year or two, but if you scale your ads spend without wasting budget, you’ll still uncover what really drives customer decisions.

The key is to run your budget in tranches. Each tranche should answer one clear question:

• Is it the price?
• The message?
• The offer?

Break it down so every dollar has a purpose. That’s how you turn ad spend into an education system instead of wasted cash, and it’s why the fastest-scaling Shopify brands treat testing as non-negotiable.

Run A Smoke Test Before You Scale Shopify Ads

One of the biggest traps Shopify founders fall into is scaling too early. They see something start to work and sprint straight into doubling budgets, only to watch their “winning ad” collapse. Scaling before proof is like betting your life savings on a horse because it won the warm-up lap.

That’s why Brez runs what they call smoke tests. These are quick, low-cost experiments designed to prove whether an ad angle really works before investing in production or major spend.

Prove Your Ad Angle With Low-Cost Creative First

Here’s how it works. Instead of dropping thousands on high-production videos, Brez starts with the simplest creative possible: a product shot on a plain background with bold text calling out the value proposition. No influencers. No expensive video shoots. Just the core message.

They run three to four variations focused on different benefits like stress relief, focus, or energy. The angle that pulls clicks signals where to double down. Only once they’ve seen clear data do they scale into scripted videos and higher-quality creative.

Think about it this way: would you rather spend $5,000 on a cinematic ad that flops, or $200 on static tests that show you exactly which message wins? That’s the power of the smoke test. It’s cheap validation, and it keeps founders from burning through their budget on unproven ideas.

The best way to think about video creative is in Lego blocks. Each ad is built from simple, interchangeable pieces, a strong hook, a clear benefit, and a solution. Mix and match those blocks to test new angles quickly. Once you find the combination that clicks, then scale it. This system makes creative testing repeatable and lowers the risk of betting big on a single ad concept.

Why Creative Is Targeting For Shopify Growth In 2026

Audience hacks are dead. The days of micro-targeting interests and stacking lookalikes like it’s 2018 are long gone. Meta’s algorithm already knows your customer better than you do. What actually works in 2026 is letting your creative do the targeting. Meta’s own engineers in the Andromeda update confirm that narratives in your ad account matter more than campaign structures or audience hacks.

Brez proves this in practice. They don’t waste time gaming the targeting dropdown. Instead, they feed the algorithm diverse creatives that speak to different buyer stories. If the audience in Florida sees ads featuring people who look like them, results improve.

When the creative mirrors the lifestyle, the pain points, and the aspirations of your real buyers, the algorithm delivers. Broad targeting plus authentic, story-driven creative is the formula that unlocks scale.

Build A Relentless Creative Testing Machine For Shopify Ads

Most brands stall because they treat creative like a one-off project. They launch a handful of ads, hope one goes viral, and then panic when performance tanks after two weeks. The truth is the ad that crushed it yesterday can flop tomorrow. The only way to scale is to run a relentless creative machine.

Brez produces ten new concepts every week, which turns into about twenty ad variations once you include edits. The goal isn’t to strike gold every time. The real objective is to maintain a constant pipeline of new ads so you’re never left without fresh creative to test. Their system keeps 70% of spend behind proven winners and 30% fueling ongoing experiments. If results dip, they shift that ratio to 90/10 or even 100% on winners until the next wave of tests is ready.

The 70/30 Budget Split For Winners Vs. Testing New Creatives

The 70/30 model keeps growth steady without over-relying on any one ad. Winners drive reliable results while tests search for the next breakout.

When a dry spell hits? The fallback is to double down on the ads that are still performing, then feed learnings back into the testing cycle.

This rhythm is what separates brands that plateau from brands that keep compounding growth month after month.

Irresistible Shopify Offers Beat Products Every Time

Another mistake founders make is assuming the product alone will carry the ad. “If people just try my product, they’ll love it.” That might be true, but in a crowded feed nobody stops scrolling for “try my product.” What wins attention is an irresistible offer that feels like a no-brainer.

Brez built their growth on a killer subscription offer: an eight-pack with four bonus shots and free shipping. That bundle outperformed standard promotions and was more attractive than most Black Friday deals. It locked in repeat buyers and boosted lifetime value from the very first purchase.

The lesson for Shopify brands? Focus on AOV-driven offers. Bundle products, add upsells, or create gift-with-purchase deals.

For example, a pillow brand could bundle a sleep mask sourced from Amazon or Alibaba as a bonus. Offers like this create urgency, increase basket size, and set the foundation for profitable scale.

High-Converting Shopify Landing Pages Vs. Generic Product Pages

Many Shopify brands unknowingly kill their ad performance by sending paid traffic to generic product or collection pages. You pay $2 for a click, only to drop shoppers onto a page with a single product photo, short description, and a few scattered reviews. That isn’t a funnel — it’s a leaky bucket. Most visitors leave without buying, and your ad dollars disappear.

Fast-growing brands like Brez use landing pages built specifically for ads. Each lander is tailored to the exact offer promoted. If the ad highlights a starter bundle, the page puts that bundle front and center.

Strong landing pages use bold offers, icons that highlight key benefits, lifestyle visuals, mechanisms that explain why the product works, and detailed FAQs to remove objections.

Comparison tables against the main competitor are another proven conversion booster. These elements turn casual clicks into committed customers.

Marry Shopify Marketing With Finance Metrics

Scaling fast isn’t just about great creative and offers. Without financial discipline, even a viral product can burn through cash.

At Brez, the marketing and finance teams work as one. Ad buyers report hourly on spend, returns, and capital flow, so the business always knows where money is going.

This level of financial visibility ensures decisions are made on profit, not vanity metrics. Discover how you can do this too by following our case study of scaling a store’s Facebook ads from $300 to $300,000 in spend Month.

Contribution margin is the profit per order per day. It matters far more than ROAS. Too many founders and agencies chase attractive ROAS numbers without realizing the business is losing money.

Marketing can’t operate in isolation; it has to be tied directly to the P&L. This marriage of marketing and finance creates the cash flow needed to scale aggressively without risking the brand’s survival.

Diversify Beyond Meta Ads To Scale Your Shopify Store

Relying only on Meta is dangerous. One ban or one algorithm update can cut revenue in half overnight. That’s exactly what happened to brands who bet everything on Facebook ads.

Brez avoided this fragility by diversifying early. Alongside Meta, they built profitable channels in Google Search, YouTube, TikTok, affiliate partnerships, and influencer campaigns.

The magic is in how these channels feed each other. Influencer buzz makes Meta ads convert better. Social chatter boosts organic search demand. Google Ads stabilize cash flow when Meta CPMs spike.

By treating each channel as a primary driver rather than a backup, Brez built a growth engine no single platform could shut down. The lesson for Shopify brands: master one channel first, then expand. Diversification is the safety net that makes scale feel almost “illegal.”

Retention Marketing: The Cheat Code To Scaling Shopify Profit

Most founders celebrate acquiring a new customer as the finish line. In reality, that’s just the starting point. True scale comes from retention.

Brez cut churn from 24% to 17% with a few simple but powerful tactics, unlocking millions in additional profit. Every extra month a customer stays is pure margin, which makes retention the ultimate multiplier for growth.

Fixing The Three Main Churn Danger Zones In Shopify Subscriptions

Churn doesn’t happen randomly. It follows predictable patterns, and if you know where those drop-off points are, you can engineer strategies to stop customers from leaving.

Brez mapped their data and found three critical danger zones where subscribers were most likely to quit. By addressing each zone directly, they transformed retention into one of their biggest profit drivers.

Day 1 Churn

Day 1 churn comes from customers who buy only for a discount. Brez counters this by promising a real gift in month two, giving buyers a reason to stick around.

The First Billing Reminder Drop Off

The second spike happens at the first billing reminder, when customers question whether to renew. Here, plain-text founder emails, customer reviews, and “what to expect” guides keep excitement high—one simple email even generated $40,000.

Second Renewal Drop Off

The third drop-off arrives after the second renewal. Brez tackled this with giveaways, offering five free cases to subscribers who stayed past day 27.

These small moves reduced churn dramatically and proved that smart retention design scales profit far beyond acquisition.

Scaling A Shopify Store The Smart Way

Want to see why 90% of Shopify stores lose profit when they try to scale Facebook ads? Read our in-depth guide on the 10-minute method to grow your Shopify store and avoid the mistakes that stop most brands before they ever reach scale.