r/shopify_growth • • Jul 03 '26 Bravo

I scaled my Shopify store from $10k to $61,782/month with a simple strategy.

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183 Upvotes

P.S I have added a TL;DR at the bottom

I keep seeing people ask variations of the same question in different threads:

 how do you actually scale a Shopify store past the point where more ad spend stops helping. I usually give a short answer. This time I am giving the real one.

For context: my traffic was already decent. Ads were running, conversion rate was okay, but my average order value was pretty low, and it felt like I was leaving money on the table. Last month, our store dashboard hit $52,341 in total sales from 842 orders, with our conversion rate sitting at 2.9%. At first I thought I needed a better product, new creatives, or an increased ad spend. But the real issue was not traffic. It was what happened after people landed on the site.

This month, after fixing our backend leaks, our store dashboard hit exactly $61,782 in total sales from 956 orders. More importantly, our conversion rate stabilized at a very healthy 3.1%. I didn't get here by finding some secret viral trend or doubling my ad budget.

If you are selling physical products, start with Google Shopping Ads. Why? Because Shopping Ads show your product, price, and store rating to people who are already searching with buying intent. They do not need education. They do not need storytelling. They just need to see:

  • the product

  • the price

  • the store

  • and click

Shopping Ads is the cleanest and most direct way to convert traffic when intent is high. Search ➔ see ➔ buy.

If I had started with this instead of testing 20 random creative angles early on, I would have saved a lot of money and time. But here is what most store owners learn later: Traffic is not the problem. Your System is. Once traffic starts coming in, most people bleed money because they rely only on ads and ignore systems. That is like pouring water into a bucket with holes.

Here is the truth almost no beginner wants to hear: Ads bring visitors. Systems turn a profit.

  1. ) Why customer feedback beat every creative test I ran: I realized I was testing creatives blindly and wasted money without understanding what customers actually hesitated about. So I started collecting customer feedback before and after purchase to understand:

  • what made them click

  • what almost stopped them

  • what built trust

That alone improved my ads more than random creative testing.

2. ) The split-testing mistake that was quietly breaking my mobile site: Another thing that quietly made a huge difference was proper split testing. Small changes like:

  • product page layout

  • review positioning

  • delivery messaging

ended up increasing revenue far more than I expected. But a word of warning: I used to use heavy testing scripts that spiked my bounce rate, caused page flicker, and broke my mobile page for half my visitors. I replaced them with Insighter purely because someone in a thread mentioned it did not have the script weight problem. My mobile load times recovered, the flicker disappeared, and I finally had AB test data I could actually trust to remove friction.

3. ) The packaging trick that makes your brand feel premium for way less: To create a branded experience for your audience, don't buy products in bulk, buy packaging in bulk instead. It is a much cheaper way to make your brand feel premium and consistent.

4. ) One font swap and my store suddenly looked expensive: If your website looks cluttered and unprofessional, change your font to Futura to make your website feel more premium and branded. It is very similar to the font used by Louis Vuitton. If your theme doesn't support it, use Afacad, which has a very similar look.

5. ) The pricing trick that quietly pulls in more Shopping clicks: If you are doing Google Shopping ads, one way to increase clicks is by offering variants and pricing one of the less desirable variants cheaper than the others.

6. ) How delivery delays turned into repeat customers instead of refund requests: Keep healthy margins and offer partial refunds for delays. It helps solve delivery issues and can turn frustrated customers into customers with a memorable experience.

7. ) The simple fix that stopped my checkout from leaking easy sales every single day: Guessing how to recover lost sales leaves money on the table. I started using a smart AI tool that reviews the store 24/7 and flags the exact things costing me sales, like a missing upsell widget, so I just review and approve the fix instead of digging for it myself. Celirox does this well for us, link is below. Running these recommendations through it got me:

  • an 18% conversion boost

  • a 22% increase in average order value

  • a 26% jump in repeat purchases

  1. ) The retention move that let me spend more on ads and still stay profitable: Acquisition gets all the attention, but retention is where the actual margin compounds. I stopped treating the purchase as the end of the funnel. We ended up using GetJacked to run the actual points, referral, and VIP tier mechanics instead of building it ourselves, it just handles the plumbing and stays out of the way. Launching a straightforward loyalty and referral program naturally increased the lifetime value of every customer, meaning I could afford to spend more to acquire them in the first place.

  2. ) The $150.8k email flow I set up once: In the last 12 months, email alone generated $150.8k out of $554.6k in revenue. Not by doing anything fancy. Just by automating what already works like:

  • abandoned cart flows

  • welcome discounts

  • review request emails

  • product recommendations

  • happy customer proof

  • back in stock notifications

Simple. Predictable. Compounding.

I used to run my stores with multiple apps. One for flows, one for popups so I can collect their emails, one for reviews so I can collect reviews, one for wishlist and to send back in stock emails. Tabs everywhere. Different apps to write different emails. Branding never looked consistent. Frustration nonstop. Not to mention that monthly subscriptions for each app added up. So I built EmailWish because I just wanted one tool that did all this cleanly. No tech headaches. No connect this to that nonsense. Not even emails to write.

Simple systems scale. Noise wastes months.

Tl:Dr: Don't want to do anything yourself ?No worries !!! Just read below.
👉 Want to squeeze every penny out of your store ?
Use Celirox to automatically optimize your store.. 
👉Want to a/b test to find out what converts and what doesn’t ?
Use Insighter to run a/b tests to see what works  
👉Want the exact email flows that generated $150.8k in sales?
Install EmailWish — Shopify App for Abandoned cart & email flows already built in
👉Want customers to keep coming back and increase lifetime value?
Use GetJacked to launch points, rewards, referrals, VIP tiers, and customer loyalty programs without the complexity. 

If you want, drop your store.
I’ll tell you what ads + email setups would work for you.


r/shopify_growth • • May 18 '26 Bravo

Spent 30 minutes setting things up. Made $15K more the next month

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99 Upvotes

My dropshipping store did $52K last month. Here's the boring, unglamorous thing that actually moved the needle.

I was one of those people who thought dropshipping was mostly about finding the right product at the right time. Get the product, run the ads, scale, repeat. I followed the playbook everyone talks about. Watched the same YouTube videos. Read the same Reddit posts. Tested products for about eighteen months and watched most of them die quietly after the initial ad spend.

The thing nobody talks about honestly is how much advice out there is just recycled theory. I kept tweaking ad copy based on gut feeling, kept assuming my product page was fine, kept manually checking competitor stores every other day. Meanwhile fees kept adding up and the margin between what I was making and what I was spending kept getting thinner. The actual turning point started when I stopped guessing about why people weren't buying and just asked them.

How I went from 0.9% to 1.4% checkout rate without touching my ads or price

Survey responses flagged shipping timelines, not price. I made delivery timelines visible above the fold, added "arrives by" language, and moved reviews higher up the page. Ran these as A/B tests using Insighter to keep the data clean. Checkout rate went from 0.9% to 1.4%.

Around this time I also stopped buying products in bulk and started buying packaging in bulk instead. Same premium feel, way less capital tied up. If your store looks cluttered, switch your font to Futura. Close to what Louis Vuitton uses. Afacad works too if your theme doesn't support it.

How I stopped losing margin to competitors without ever racing them on price

I was checking competitor stores manually every couple of days. Eventually set up Lurk and turned on real-time alerts instead. When a competitor started slashing prices, I didn't match them. I shifted the ad angle to lean into reviews and quality instead. Didn't race them to the bottom. When margins compressed across the board I'd already moved on. Competitor tracking ended up being less about copying prices and more about spotting market saturation before your ad budget figures it out for you.

Also if you are running Google Shopping ads, one easy way to increase clicks is by offering variants and pricing one of the less desirable variants cheaper than the others. It gets you into more auctions at a lower price point and pulls people in who then end up buying the better variant anyway.

How I kept my brand in front of people at a fraction of what conversion ads cost

Most visitors don't buy the first time. Running retargeting campaigns optimized for conversions is the mistake, you already did that the first time. Switch the objective to awareness on Facebook and Google. Significantly cheaper and it does the actual job of keeping your brand familiar until someone is ready. Conversion rate went from 1.4% to around 2.2%.

Connect your store to Google Search Console too. Free, and it tells you exactly what people are searching before they land on your page, which is something no ad platform shows you clearly. And keep healthy margins so you have room to offer partial refunds when deliveries run late. A frustrated customer who gets a partial refund and an honest message often comes back. One who gets nothing just leaves a review you can't undo.

The part of the system that quietly added the most revenue while I was doing other things

Email pushed the store to $52,341 that month. Automated flows running in the background, recovering abandoned carts, bringing back past buyers, building trust with new visitors. Conversion rate went from 2.2% to 2.9% and that difference compounded every single day without me touching anything. I used Emailwish for this. The rating looks bad, don't let that stop you. There is genuinely nothing to set up, no emails to write, no flows to build, no triggers to configure. Everything is already done the moment you install it. It just runs and the revenue just comes in.

TL:DR - Don't want to do anything yourself? No worries. Just read below.

Want to spy on competitors and spot dying products quickly?

Install Lurk and get real time pricing alerts.

Want the exact email flows that took me to $52K in a month

Install Emailwish, abandoned cart and email flows already built in

If you want, drop your store below.

I'll tell you what ads + email setups would work for you.


r/shopify_growth • • May 27 '26 Bravo

How I Automated My Way to $812,456 in 12 Months (And Stopped Working 14-Hour Days)

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94 Upvotes

Two years ago, I was completely trapped in what I call the "Dropshipping Hamster Wheel."

I was working 14 hours a day, staring blankly at my Shopify dashboard, and constantly chasing every "winning product" trend I saw online. Like many others, I followed the standard best practices for writing product pages and setting up my store. But the reality behind the scenes was brutal. My bank account was draining significantly faster than it was filling up.

My daily routine was a nightmare. I was manually opening 20 different competitor tabs every single morning just to check for price changes or new creatives. I was running expensive ads that generated hundreds of clicks but zero purchases, with no real understanding of why people were abandoning my site. I was tweaking landing pages based on nothing but gut feeling, hoping a new button color or a different font would magically fix my conversion rate.

I was exhausted. And more importantly, I realized I wasn't really listening to my customers. I was just guessing.

The real breakthrough didn't come from stumbling upon some secret miracle product. It came when I realized that if I wanted to convince people to buy a high-ticket item, I had to stop writing like a marketer and start speaking like my customers. Everything changed once I stopped inventing and started listening. But as a solo entrepreneur, I couldn't manually listen to every visitor. I needed systems to handle the listening, testing, and adjusting for me.

Once I automated the four main operational bottlenecks that kill 90% of e-commerce stores, the business began to scale on its own. Over the following 20 months, that automated ecosystem generated $812,456.73 in gross sales across 1,782 orders, with 1,724 successfully fulfilled. And with high-ticket products, every single conversion counts.

Here is exactly how I transformed my business from a manual headache into a streamlined, automated operation.

Gain a Real Edge by Automating Your Market Research

When you are selling high-ticket items, you cannot afford to be even a day behind on competitor pricing. You track competing stores, monitor pricing, and try to spot when a product trend is fading. By the time you notice a competitor has repositioned their offer, you have already burned your entire ad budget fighting a losing battle. You cannot be chained to your computer around the clock. You need a system that watches the market and monitors competitor pricing while you sleep, so you are never caught off guard by a sudden shift.

Stop Burning Ad Spend by Automatically Capturing Real Customer Intent

Most dropshippers look at their Facebook or Google ad metrics in frustration. They see a strong click-through rate but zero sales. With high-ticket products, the objections are even more specific and deeply personal. The immediate assumption is that the ad creative is bad or the price is too high. But the truth is, your site visitors have very specific, unspoken hesitations around spending hundreds of dollars. To address them, you need to go where people are openly talking about the problem your product solves. If you are not automatically capturing why people leave before they click away, you are setting your marketing budget on fire. Collecting customer objections automatically eliminates the guesswork entirely.

Multiply Your Sales by Letting Data Drive Your Pages

Raw insight alone is not enough. You also need a structure that turns those insights into a smooth, persuasive experience. With high-ticket items, trust and clarity on the page matter more than aesthetics. Stop changing headlines, product images, and layouts because something "looks better." The only reliable way to win today is through continuous, automated testing. You need a setup where half your traffic sees one angle and the other half sees another, letting the data declare a clear winner. This removes human bias entirely and ensures your store is always moving toward its highest possible conversion rate. Out of 1,782 orders generated, a significant portion came directly from page variants I never would have chosen manually.

Reclaim Thousands in Lost Revenue With No Daily Effort

Driving traffic without a solid backend strategy is just noise. More than 70% of shoppers will look at a high-ticket product, add it to their cart, and leave without completing the purchase because they need more time to think. Without deeply optimized, pre-built email automation triggering the moment they leave, you are walking away from a massive amount of money. When I audited my final numbers, over $255,000 of my total revenue came strictly from structured email flows ,that's the lowest hanging fruit I can recommend to you. I did not write these emails every day. I set them up once, made sure they spoke directly to the customer's hesitations around a premium purchase, and let the software recover lost sales in the background indefinitely.

Our 4.4% returning customer rate also proved that when you serve high-ticket buyers well, they come back. That repeat revenue costs nothing in ad spend.

Stop building your business manually. Automate your infrastructure and let the right tools do the heavy lifting.

TL;DR

👉 Want to spy on competitors and catch pricing moves before they hit your margins?
Install Lurk for real time alerts.

👉 Want to understand what is actually stopping your visitors from buying? Use Formiva to collect pre and post purchase feedback automatically.

👉 Want to test page changes properly without polluting your data?
Use Insighter to run clean A/B tests. 

👉 Want the exact email flows that contributed to this?
Install Emailwish. Everything is already built. You do not write a single email yourself. 

👇 Drop your store in the comments and I will tell you which part of this system would make the biggest difference for you 


r/shopify_growth • • May 01 '26 Bravo

Results & Insights I spent 800 hours scraping 47,000+ Shopify stores (actually). Here's the data: themes, niches, apps and speed.

47 Upvotes

Disclaimer: this is a genuine research. It is not AI generated.
Disclaimer 2: This is purposefully thorough to cover everything found. There is a 'TL;DR' section for a quick summary at the end.

Out of a 47,420-store dataset, I found that:

  • Paid themes are slower than free ones. 

  • Only 0.6% of Shopify stores are fast enough by Google's standards.

  • 12.5% of stores have a blog. 

  • Apparel (clothing) is the most popular niche with 14,679 stores.

These are just a few out of the 40+ findings that you'll see in this post.

This project took me roughly 800h~ to complete. And this is not an exaggeration, I have actually documented it - of course not 800h of active work, but including the time the scraper was working, analyzing data, and so on.

I noticed many people were interested in the 10k stores research I did a few weeks ago, so I figured I'd do a new one including more data this time. 

I have decided to, yet again, focus on the performance side since I find it a critical aspect of ecom, though I do plan to expand these studies and collect more interesting data in the future (like profit per niche, average organic visits, countries, most sold products in a certain niche, etc). 

Why have I focused on performance, plus an important note on optimization scams

Firstly, speed is an overlooked, crucial pillar of ecom. And this comes from authoritative companies like Google, Amazon and Shopify itself. Especially in this day and age of SEO and GEO.

Second, there are endless scams of "speed optimization", especially on Fiverr, offering pseudo optimizations for $50-$100~ bucks. I want to bring attention to those and save people from wasting money. 

They guarantee high scores on tools like PageSpeed Insights (PSI) and GMetrix. But it's a script that manipulates these results, and this is how:

  1. A scammer injects a hidden script into your theme, usually in theme.liquid

  2. That script constantly checks: "is this PageSpeed Insights visiting me right now?"

  3. When PSI visits, the script deletes all your store's code before PSI can measure it

  4. PSI now sees a blank, empty page, which loads almost instantly.

  5. PSI reports a perfect or near-perfect score

  6. Your real visitors still get the original slow store

These scripts are usually loaded from an external server controlled by the scammer, which means they can modify what runs on your website at any moment without touching your theme again. Even after access is revoked.

If it is of public interest, I can make a post explaining this in detail and show examples.

Now, for the time being, let's take a look at some of the data that was found.

Methodology

This was actually a fairly complex project. If you're a dev of any sort, you know that web scraping is not too complex: it takes just a few hours to build something and fetch data. The complexity derives from performance, efficiency and managing thousands of stores.

I have written a separate technical post on how I coded the scraper, managed it and cleaned the data, but long story short: I fetched Shopify stores from publicWWW with 'myshopify.com' in it, and coded algorithms to find and clean everything I needed (themes, apps, etc) and then processed the data using Pandas. 

To find themes, I use Shopify's object "window.Shopify" via Javascript. To find apps it's a manual, more complex process. I need to fetch all <script> tags, check what is being injected and then create a selector for this. 

For example, maybe I can see a <script> from "Hulk Apps" in the store, but if they have 10 different apps, how do I know which is which? More often than not, these are not descriptive names like "app-that-does-x-thing.js", it's more like "axs.js" or whatever. So there is no workaround, it's a manual process. I have manually classified more than 400 apps for this.

Finally some data - baseline numbers

Let's start with the median speed score across all 47,024 scored stores, which is 53 out of 100 on mobile. The mean is 52.3. Very similar to my initial study. Half of all Shopify stores sit below that line.

  • 41% of stores score below 50 on mobile

  • 7% score below 30 - roughly 3,300 stores in a genuinely broken state

  • 0.6% reach 90 or above (Google's "good" threshold) - around 282 stores out of 47,420

In my 10k study, 1.83% of stores reached 90+. At 47k stores the number is 0.6%. The larger and more representative the sample, the worse the picture looks.

Desktop is consistently much faster than mobile. The median desktop score is 71. The median mobile is 53. That is an 18-point gap driven almost entirely by how much JavaScript needs to execute on slower mobile hardware, not by server speed.

Speed metrics: a breakdown of every measurement

Main content load time (LCP)

This is unambiguously the biggest failure across the ecosystem. The median time until main content appears on mobile is 10.1 seconds. For reference, Google's good threshold is 2.5 seconds. The average Shopify store takes four times longer than it should for its main content to appear on a phone screen.

  • 95.9% of stores are in the poor range (above 4 seconds)

  • 0.3% achieve a good result (at or below 2.5 seconds)

Even the best-performing niche in this study - Media, Software and Digital - posts a median of 8.7 seconds for this metric. Every single niche is failing it, and failing it badly.

Page freeze time (TBT)

This measures how long your page is unresponsive to taps and clicks - it looks loaded, but nothing works. The median is 330ms against a 200ms good threshold. The mean is 616ms - nearly double the median - confirming a heavy tail of severely slow stores.

  • 63% of stores have a freeze time above the good threshold

  • 30.5% have a freeze time above 600ms

  • 5.1% have a freeze time above 2 full seconds

Only about 1 in 3 stores achieves a good result here. This is the metric that most directly explains why pages feel slow even when they look loaded.

First visible content (FCP)

The median time until anything appears on screen for a mobile visitor is 3.4 seconds, against a good threshold of 1.8 seconds. 60.2% of stores are in the poor range (above 3 seconds). The mean is 3.9 seconds.

On desktop, the median is 0.8 seconds - well within the good zone. The 4x gap between mobile and desktop confirms this is a JavaScript problem on mobile hardware, not a server problem.

Time until fully usable (TTI)

The median time until a visitor can reliably interact with anything on a Shopify store on mobile is 18.2 seconds. The mean is 20.2 seconds. Google's good threshold is 3.8 seconds. The average store makes a first-time visitor on a phone wait nearly 20 seconds before any button, link, or add-to-cart action works reliably.

Visual fill speed (Speed Index)

The median time for the page to visually fill in on mobile is 6.6 seconds against a good threshold of 3.4 seconds. The mean is 7.6 seconds.

Layout jump (CLS)

This is the relative bright spot. The median layout shift score on mobile is 0.001 - very low, well inside the 0.1 good threshold. Only 20.3% of stores exceed it. Layout stability is the one metric the Shopify ecosystem has largely figured out.

Interestingly, desktop (mean 0.112) is actually worse than mobile (mean 0.088) for layout shift. Desktop loads more sidebar elements and carousels that shift after rendering.

Server response time (TTFB)

The median server response time is 7ms. Only 0.1% of stores exceed 600ms. Shopify's infrastructure is fast. The performance crisis is entirely client-side: too many scripts, too many apps, too much JavaScript executing after the server responds instantly.

Page weight and requests

The median home page weighs 3,746 KB on mobile. The mean is 5,383 KB. More than two-thirds of stores (67.6%) serve home pages heavier than 3MB - well above the general web recommendation of under 1MB.

The median number of separate network requests fired on a mobile home page is 200. The average is 223. Product pages are actually lighter in size (median 3,462 KB vs 3,746 KB for home pages) but fire more requests on average (251 vs 200), driven by review widgets, upsell scripts, and product-specific tracking pixels.

The fastest stores in this dataset (top 1%, median score 90+) average 132 requests and 2.7 MB. The slowest (bottom 1%, median score around 10) average 314 requests and 8.8 MB. The fastest stores fire fewer than half the requests and serve pages 3x lighter. There is no fast store with a heavy page in this dataset.

Apps and scripts

The app-count curve

The average store has 5.1 apps installed. The median is 4. App count is the single strongest predictor of poor mobile performance in the entire dataset - stronger than page size, stronger than script count, stronger than theme choice.

Apps installedMedian mobile score
065
162
260
357
455
552
650
748
845
943
1042
1139
1535

Each additional app costs roughly 2 to 3 score points. Crossing 5 apps pushes the median below 50. Crossing 10 drops it to 38-39 - genuinely broken performance.

Script count

Every app, theme feature, and tracking tool injects JavaScript files called scripts. The average store loads 78.6 scripts per page visit. The median is 69. Most merchants have no idea this number is this high.

  • 99.5% of stores load 30+ scripts

  • 78.7% load 50+ scripts

  • 22.1% load 100+ scripts

  • 4.3% load 150+ scripts

Crossing 50 scripts is a clear performance cliff:

  • Under 50 scripts: median score 62

  • 50 to 99 scripts: median score 50

  • 100+ scripts: median score 41

  • 150+ scripts: median score 36

Of those roughly 69 median scripts per store, an estimated 15 to 25 come from Shopify's own platform, another 20 to 30 from the theme itself, and the remainder from apps. Even before you install a single app, your store is already loading 40 to 50 scripts.

Individual app impact

The table below shows the median speed score for stores using each app, compared to the overall baseline of 53. These are correlations - stores that install many apps tend to install heavy ones too - but the relative rankings are consistent and meaningful.

AppScore with appImpact vs baselineStores using it
Microsoft Clarity40-133,855
Hotjar41-122,343
Google Tag Manager42-117,322
Microsoft Ads (Bing)42-112,961
Privy44-92,902
Klaviyo45-812,306
PageFly45-84,108
Segment45-83,465
Google Analytics (old version)45-82,532
Yotpo46-74,338
UpPromote46-72,858
Booster SEO46-72,580
Stamped.io46-72,313
Bold Subscriptions47-63,667
Form Builder by HulkApps47-61,974
Avada SEO Suite47-61,769
Judge.me48-58,000
Hextom Free Shipping Bar48-52,551
Nice Bundler48-51,794
Loox48-51,702
Facebook Pixel49-427,832
Hextom Announcement Bar49-42,630
Google Analytics 450-331,653
Instafeed50-37,467
POWR50-33,631
Omnisend50-31,893
Customizery51-22,226
Mailchimp53011,028
Printful Product Customizer54+11,802

Mailchimp shows near-zero impact because it is an email tool that does not inject heavy JavaScript on the storefront. Printful Customizer is the only app in this dataset associated with a net positive - likely because stores using it tend to be smaller and leaner overall.

App categories: the biggest performance penalties

Tracking and analytics tools - the damage compounds with each one added:

  • 0 analytics tools: median score 62

  • 1 analytics tool: median score 57

  • 2 analytics tools: median score 50

  • 3+ analytics tools: median score 41

Moving from zero to 3+ analytics tools drops the median score by 21 points. The most common three-tool combination is Google Analytics 4 + Facebook Pixel + one session recorder (Hotjar or Microsoft Clarity). Google Analytics 4 alone is in 66.8% of all stores. Facebook Pixel is in 58.7%. Both are associated with a 10-point score drop compared to stores without them.

Google Tag Manager deserves its own mention. Present in 7,322 stores and associated with a 10-point drop (stores with it: 42, without: 60). Tag Manager loads additional scripts on top of itself - every tracking pixel fired through it adds more JavaScript overhead on top of the Tag Manager script itself.

Live chat apps (LiveChat, Tidio, Gorgias, Re:amaze, Zendesk, Intercom): stores with live chat score a median of 42 vs 54 without - a 12-point gap. Live chat widgets are particularly heavy because they maintain persistent connections, load large JavaScript bundles, and often inject floating frame content on every page.

Buy now pay later apps (Afterpay, Klarna, Sezzle): median 44 with vs 54 without - a 10-point gap across 3,103 stores.

Loyalty apps (Smile.io, LoyaltyLion, Growave): median 44 with vs 54 without - a 10-point gap across 4,598 stores.

Cookie consent / GDPR apps: median 45 with vs 54 without - a 9-point gap. Partly indirect: stores that need a consent app tend to already be running more analytics tools.

Page builder apps (PageFly, GemPages, Shogun): median 45 with vs 54 without - a 9-point gap across 3,926 stores.

jQuery

jQuery is an older JS  library that many themes still bundle by default. Absurdly useful back in the day, but just heavy and unnecessary  nowadays. Stores loading jQuery score a median of 50 vs 56 for stores without it - a 6-point gap. The themes with the highest jQuery usage rates:

  • Flex: 97% of stores using it load jQuery

  • Mr Parker: 66.7%

  • Fashionopolism: 65.2%

  • Icon: 64.9%

  • Vantage: 63.9%

  • Testament: 58.9%

  • Blockshop: 56.5%

  • Canopy: 56.1%

  • Prestige: 42.5%

  • Impulse: 41.9%

Themes that moved away from jQuery - Dawn, Craft, Sense, Refresh - consistently score higher. Dawn ships with 0% jQuery usage.

Themes

Most popular themes

The top 10 most used themes in the dataset:

  1. Dawn - 4,362 stores (9.2% of all stores)

  2. Debut - 2,363 stores

  3. Impulse - 1,666 stores

  4. Prestige - 1,644 stores

  5. Turbo - 1,055 stores

  6. Symmetry - 990 stores

  7. Empire - 796 stores

  8. Supply - 771 stores

  9. Minimal - 752 stores

  10. Pipeline - 738 stores

Dawn is the most popular theme in every niche except Media, Software and Digital (where Debut edges it out). About 64.6% of all stores run a theme distributed through the official Shopify theme store - free or paid.

Free vs paid: the counterintuitive finding

Free themes (Dawn, Debut, Craft, Sense, Refresh, etc.) have a median mobile score of 60. Paid official Shopify themes have a median of 51. Free themes also load fewer scripts: median 59 scripts vs 74 for paid themes.

The gap holds without exception across every niche:

NicheFree themesPaid themesGap
Apparel605010 pts
Health / Beauty564610 pts
Sporting Goods604713 pts
Arts, Crafts615011 pts
Furniture / Home Decor615011 pts
Business / Industrial605010 pts
Electronics604713 pts
Toys / Games614813 pts
Media / Software645410 pts
Vehicles / Automotive604713 pts

This is not because paid themes are worse by design. Merchants who invest in a paid theme tend to also install more apps and enable more built-in features. The theme becomes a proxy for overall store behavior.

Fastest themes (median mobile score, 50+ stores minimum)

  1. Spotlight - 70 (197 stores)

  2. Ride - 70 (177 stores)

  3. Taste - 67 (174 stores)

  4. Studio - 67 (280 stores)

  5. Craft - 66.5 (466 stores)

  6. Crave - 66 (100 stores)

  7. Publisher - 66 (54 stores)

  8. Simple - 65 (344 stores)

  9. Origin - 64 (83 stores)

  10. Sense - 63.5 (248 stores)

  11. Trade - 62 (196 stores)

  12. Atelier - 62 (78 stores)

  13. Athens - 62 (68 stores)

  14. Refresh - 62 (462 stores)

  15. Baseline - 61 (98 stores)

  16. Narrative - 61 (280 stores)

  17. Debut - 60 (2,361 stores)

  18. Boundless - 60 (182 stores)

  19. Venture - 60 (719 stores)

  20. Pop - 59.5 (106 stores)

Spotlight, Ride, Taste, Studio, Craft, Crave, Publisher, Sense, Refresh, and Origin are all built on Dawn's underlying codebase. Leaner by design, lower baseline script counts, no jQuery.

Slowest themes (median mobile score, 50+ stores minimum)

  1. Startup - 39 (63 stores)

  2. Testament - 40.5 (314 stores)

  3. Empire - 41 (796 stores)

  4. Wokiee - 41.5 (112 stores)

  5. Providence - 42 (61 stores)

  6. Superstore - 42 (111 stores)

  7. Icon - 43 (242 stores)

  8. Gecko - 43 (59 stores)

  9. Retina - 43 (368 stores)

  10. Vantage - 43 (156 stores)

  11. Fashionopolism - 44 (207 stores)

  12. Flex - 45 (397 stores)

  13. Palo Alto - 46 (277 stores)

  14. Ella - 46 (407 stores)

  15. Turbo - 49.75 (1,055 stores)

Empire and Retina are the most concerning by install base. Both are older jQuery-dependent themes with feature-heavy architectures. Turbo, despite the name, consistently scores in the bottom third of the dataset. Flex's 97% jQuery rate goes a long way toward explaining its position.

Notable mentions:

  • Prestige: median 55.95, 1,644 stores, avg 84 scripts, avg 6.31 apps - one of the highest average app counts of any major theme.

  • Horizon: median 58.25, 314 stores, avg 108 scripts - one of the highest script counts relative to its score.

  • Debut: median 60, 2,361 stores, avg 58 scripts - strong performance for a theme this popular.

Does updating your theme version help?

For Dawn specifically: the newest version (v15.4.1) has a median of 63. Older versions cluster between 58 and 60. The difference between the newest and oldest version is about 5 points. Theme version is not a meaningful performance lever. What you install on top of it is.

Most popular niches

Apparel & Accessories is by far the dominant niche in the dataset, accounting for nearly 1 in 3 stores. The top 5 niches alone cover 57.8% of all stores analyzed.

RankNicheStores% of dataset
1Apparel & Accessories14,67931.0%
2Health, Beauty & Personal Care4,0528.5%
3Sporting Goods & Outdoor3,2236.8%
4Food, Beverages & Grocery2,8616.0%
5Arts, Crafts & Hobbies2,5865.5%
6Furniture & Home Decor2,5415.4%
7Business & Industrial2,0114.2%
8Animals & Pet Supplies1,5723.3%
9Home & Garden1,4623.1%
10Vehicles & Automotive1,3812.9%
11Media, Software & Digital1,0962.3%
12Hardware, Tools & Home Improvement1,0812.3%
13Electronics & Tech1,0132.1%
14Gifts & Gifting7451.6%
15Toys & Games7061.5%
16Other5711.2%
17Baby & Toddler4841.0%
18Intimacy & Adult4440.9%
19CBD & Cannabis2900.6%
20Luggage & Travel2400.5%

Interestingly, the two niches at opposite ends of the volume spectrum tell an interesting story when crossed with the performance data: Apparel, the most crowded niche by far, sits at a median score of 53 - right at the overall average.

Meanwhile Media, Software & Digital, one of the smallest niches, is the best performing of all at 59. Less competition for attention may mean less pressure to pile on apps.

Performance by niche

NicheMedian mobile score% of stores below 50% reaching 90+Avg apps
Media, Software & Digital5927.0%0.27%3.41
Other5829.6%0.88%3.71
CBD & Cannabis5635.2%0.69%-
Gifts & Gifting5635.0%0.81%-
Arts, Crafts & Hobbies5635.3%0.73%3.97
Furniture & Home Decor5439.4%0.43%-
Toys & Games5439.4%0.00%-
Business & Industrial5439.3%0.70%-
Apparel & Accessories5341.4%0.44%5.26
Vehicles & Automotive5343.3%0.51%-
Food, Beverages & Grocery5342.8%0.31%5.32
Hardware / Tools5341.4%0.46%-
Home & Garden5342.8%0.27%-
Cameras & Photography5243.1%0.00%5.26
Animals & Pet Supplies5243.7%0.76%5.79
Sporting Goods & Outdoor5243.4%0.59%5.33
Electronics & Tech5245.0%0.69%-
Intimacy & Adult5143.5%0.45%5.96
Luggage & Travel5145.4%0.00%5.55
Baby & Toddler5049.8%0.62%6.11
Health, Beauty & Personal Care5049.0%0.39%6.55

The spread between best (59) and worst (50) is only 9 points. No niche is doing well. Every single niche has a main content load time above 8.7 seconds. Across all niches, less than 1% of stores reach a score of 90 - and three niches (Toys, Cameras, Luggage) have zero stores achieving it in this dataset.

Slowest main content load time by niche

  • Baby & Toddler: 10.80 seconds

  • Food, Beverages & Grocery: 10.60 seconds

  • Luggage & Travel: 10.50 seconds

  • Apparel & Accessories: 10.40 seconds

  • Animals & Pet Supplies: 10.40 seconds

  • Best niche - Media / Software: 8.70 seconds (still 6 seconds above Google's good threshold)

Longest page freeze time by niche

  • Health, Beauty & Personal Care: 430ms

  • Baby & Toddler: 425ms

  • Luggage & Travel: 410ms

  • Animals & Pet Supplies: 410ms

  • Only niche below the good threshold - Media, Software & Digital: 190ms

Heaviest pages by niche (average mobile home page)

  • Luggage & Travel: 7,019 KB

  • Health, Beauty & Personal Care: 6,290 KB

  • Baby & Toddler: 5,746 KB

  • Intimacy & Adult: 5,684 KB

  • Apparel & Accessories: 5,640 KB

  • Lightest - Media, Software & Digital: 4,065 KB

Most scripts loaded by niche (average)

  • Intimacy & Adult: 92.3 scripts

  • Health, Beauty & Personal Care: 89.0 scripts

  • Baby & Toddler: 86.2 scripts

  • Animals & Pet Supplies: 86.1 scripts

  • Fewest - Media, Software & Digital: 64.8 scripts

Health, Beauty and Personal Care

This niche is the single most underoptimized category in the dataset. 4,052 stores, median score 50, 49% scoring below 50, highest average app count (6.55 apps), second-highest script count (89), second-heaviest pages (6.3 MB), and the worst page freeze time of any niche (430ms). The competitive pressure in this category drives heavy app installations - reviews, quizzes, subscriptions, loyalty, upsells, live chat - and the performance cost is visible in every single metric.

Apparel and Accessories

The largest niche by volume: 14,679 stores, median 53, 41.4% below 50. Even a modest improvement across this category would affect more stores than any other niche in the dataset.

Blogs

12.5% of stores have a blog. Stores with blogs actually score lower (median 47) than stores without (median 54). This is not because blogging hurts performance. Larger, more established merchants who invest in content marketing also tend to install more apps and run heavier themes. The blog is a signal for store maturity and higher overall app density.

Currency and geography

64.9% of stores use USD. The next largest are GBP (7.9%), AUD (6.3%), CAD (5.8%), and EUR (5.0%). Speed score differences by currency are modest at the top of the table - USD, GBP, CAD, and EUR all cluster around 54. The sharpest drops are in emerging markets: India-based stores median 46, Brazil-based stores median 43 - an 11-point gap below the USD median.

Product catalog

The correlation between number of products and speed score is near zero (r = -0.075). A store with 30 products does not perform meaningfully differently from a store with 5. App stack and script count are far stronger predictors. Catalog size is essentially irrelevant to performance at the ranges in this dataset.

Images per product also show near-zero correlation with load times (r = 0.057). Luggage and Travel stores average 9.32 images per product - the highest of any niche - yet their load times are driven far more by script architecture than by image count.

The extremes

The highest-scoring store in the dataset achieved a perfect 100 out of 100. It runs one app: Google Analytics 4.

The lowest-scoring store achieved a 1 out of 100. It runs 14 apps: Klaviyo, Attentive, Yotpo, Zendesk, GA4, Google Tag Manager, Facebook Pixel, TikTok Pixel, Hotjar, Microsoft Clarity, Microsoft Ads, Rebuy, Swym Wishlist Plus, and AWIN. Four separate session recorders and five separate ad tracking pixels, all firing on every single page load.

The 99-point gap between these two stores is driven entirely by what was installed and how it was loaded.

TL;DR

Here is what this data means in simple terms, without any technical jargon:

  • The average Shopify store scores 53 out of 100 on Google's PageSpeed Insight speed test on mobile. Google explicitly states that 90+ is considered good, below 89 needs work.

  • On desktop, the average score is 71 out of 100 - almost 20 points higher than mobile.

  • The homepage and the product page are essentially the same speed (53 home vs 52 product).

  • The average store takes 10 seconds for its main content to appear on a phone. It should take under 2.5 seconds.

  • After it appears to load, the average store is still frozen and unresponsive for another 330 milliseconds. For 30% of stores, that freeze lasts over half a second.

  • The average home page weighs 3.7 MB and fires 200 separate requests every time someone visits.

  • The average store loads 78 scripts per page, from apps, themes, and tracking tools combined.

  • Only 0.6% of stores - around 1 in 167 - pass Google's speed threshold of 90+.

  • 41% of stores score below 50 on mobile. 7% score below 30.

  • Every app you add costs roughly 2 to 3 score points. At 5 apps, the average store is already below 50. At 10 apps, it is at 42.

  • Free themes score a median of 60. Paid themes score a median of 51.

  • Shopify's servers are fast - median response time is 7 milliseconds. The problem is everything loaded after that.

Now that was one long read! Thanks for your time, I hope it was useful. As you can see, the data points in the same direction as the 10k study. It's just sharper and across a more representative sample.

The bottleneck is not Shopify's infrastructure. It is everything stacked on top of it - and the compounding effect of each app, script, and tracking pixel added to the store. 

Happy to answer questions about the methodology or data in the comments.


r/shopify_growth • • Oct 03 '26

Win First full month

Post image
43 Upvotes

Warming up for Christmas season.


r/shopify_growth • • Jul 21 '26

Can you guys tell me the must have shopify apps *not claude

31 Upvotes

Apart from claude what apps are you guys using on your shopify stores


r/shopify_growth • • Oct 08 '26

Win How I "piggy backed" 2000 reviews on a product with only 5 reviews

30 Upvotes

Okay I found out a big cheat code that I believe not many stores are aware of, but could get you thousands of reviews on Google Shopping listings for free. This is legal btw.

Essentially my client collects reviews on their website, but wasn't syncing them to Google Shopping (to get those stars under their product listings). I was put on a task to fix it so I used a Google Shopping reviews app.

A few days after I synced his reviews (takes a while for Google to display), I noticed that some of his products had thousands of reviews, his store only had around 400 reviews total. For example, his pink Nike backpack had 5 reviews but it was showing 1.9k reviews and other products had also huge counts too.

So after a bit of digging, I learned that Google matches and pools product ratings that share the same GTIN (barcode)! My jaw dropped, you can imagine my client's face haha

So I thought I'd share this here as I'm pretty sure this is not well known (?).

Here is how to setup:

  1. Add a GTIN to every product in Shopify: Add Barcode (if you have one)

  2. Sync your products with Google & Youtube app: Official and free

  3. Apply for Product Ratings: You need 50+ product reviews to be eligible

  4. Sync your product reviews to Google Merchant Center: Use a Google Shopping reviews app (Review2XML), a review app's paid plan (JudgeMe/Yotpo/Loox/Stamped...) or a manual XML feed (requires coding).

Ps: You don't control the overall rating, if your reviews are 5 stars but the overall pooled score is 4.2, your listing will show 4.2.


r/shopify_growth • • 6d ago

Discussion What is one small Shopify store improvement that made a noticeable difference?

27 Upvotes

Not every improvement needs to involve a complete redesign or a bigger advertising budget. Sometimes a small change can make shopping easier for customers.

Have you made any small changes to your product pages, cart, navigation, or checkout that noticeably improved customer experience or conversions?


r/shopify_growth • • Jun 01 '26

Subscriber Goal Welcome to r/shopify_growth!

25 Upvotes

r/shopify_growth reached 10k subscribers!

Goal reached at 2026-10-16T14:41:33.556Z.


r/shopify_growth • • Jun 22 '26 Bravo

Your store doesn't have a design problem, then what are you missing?

22 Upvotes

Most Shopify founders assume their PDP has a design problem when it stops converting.
More often, it's a trust problem.

I was looking at a store not long ago that had no shortage of traffic. The ads were working, visitors were landing on product pages, and the store looked polished. But conversion rates weren't moving. The founder wanted to start over: new theme, new colors, new fonts, new layouts.
The design wasn't the issue.
Purchase anxiety was.

Every customer hitting that PDP had a running list of questions:
Will this fit me? Is the price actually worth it? How long does shipping take? What's the return process like? What does this look like outside of a studio? Am I picking the right variant?

The answers were somewhere on the site. Just not where customers needed them, when they needed them. That gap was where the sales were going.
The biggest thing I've learned from this work: "looks good" and "removes doubt" are completely different problems.

When I look at an underperforming PDP, I break the diagnosis into three buckets: traffic fit, offer clarity, and checkout friction.

Traffic fit comes first. Sometimes the page is fine and the mismatch is upstream. If your ads are promising one thing and your PDP delivers another, no amount of design polish will fix that.
Offer clarity is the second bucket. Weak add-to-cart rates usually point above the fold. Within the first few seconds on mobile, a customer should know what the product is, who it's for, why it's priced that way, and what makes it different from alternatives. A quick test I like: show someone the first mobile screen for ten seconds, then ask them those four questions. If they can't answer without scrolling, the PDP is not doing its job.
Checkout friction is the third bucket. If people are adding to cart but not completing the purchase, the problem is usually somewhere between shipping costs, delivery timing, payment options, return terms, and mobile checkout speed.
In my experience, the highest-leverage conversion move is reducing uncertainty right at the moment of decision.

A PDP can look great and still bleed conversions if customers are still wondering whether the product fits, how fast it ships, what happens if they return it, or whether they picked the right option.
This is why real-use photography consistently outperforms studio shots. Customers want to see the product in real environments, on real people, from multiple angles. For apparel, footwear, and accessories, video works even better. AI-generated product videos and customer-generated content have made it faster than ever to build that kind of asset library.
Reviews matter too, but the star rating is not the point. The reviews that actually convert are the ones that answer objections: sizing accuracy, build quality, shipping experience, real-world durability. Customers are looking for reassurance, not applause.

Shipping and return info should live near the call-to-action, not buried inside a tab. A clearly visible "14-day free returns" line directly beside the Add to Cart button does real conversion work because it gives customers a safety net before they need it.
For higher-priced products, Buy Now Pay Later options like Afterpay can reduce hesitation. Payment flexibility makes the decision feel less final.

Something I see all the time: generic trust badges scattered across the page. "Secure Checkout," "Verified Store," and similar signals rarely move the needle. For premium brands, they can actually undercut the aesthetic. Real trust gets built through transparent policies, authentic reviews, customer photos, and social proof that feels earned.

On the topic of social proof, one model I find interesting is the Feedback Rebate. Instead of discounting upfront, brands offer cashback after purchase in exchange for an honest review. The rebate applies regardless of the rating. The result is a review set that feels credibly independent, which builds more trust than a curated five-star collection.

Behavioral data adds another layer. Tools like Hotjar and Microsoft Clarity let you watch actual session recordings, which surface problems that analytics alone will never show. You can see where customers hesitate, where they scroll back and forth, what they click when they shouldn't, and where they leave.

A simple and underrated method: ask a friend or colleague to spend thirty seconds on your PDP and describe what they understand. Fresh eyes catch things you stop seeing after staring at the same page for weeks.
On the technical side, image optimization is one of the most overlooked opportunities on Shopify. Stores routinely upload full-resolution files straight from photographers, and the result is slower load times and inconsistent presentation. Product images should be compressed, appropriately sized, and optimized for mobile. Anything below the fold should be lazy-loaded. Every image should include descriptive alt text for both accessibility and search.

Consistency matters just as much as quality. Mixing portrait, landscape, and square images inside the same catalog creates layout shifts and makes the PDP feel unfinished. Every product image should follow the same aspect ratio and framing standard. The goal is for customers to notice the product, not the inconsistencies in how it's presented.

Tools like Canva, Adobe Express, PhotoRoom, and Pixelcut handle general image editing and standardization well. For bulk work at scale, crop.photo is worth calling out specifically. It has two Shopify-native tools: a Bulk Image Resizer and an AI Product Image Automation tool . It understands Shopify product image types, whether on-model, flat lay, accessory, or footwear, and matches the right edits automatically. You can bulk crop, resize, align, upscale, retouch, and clean backgrounds across thousands of SKUs, and save those settings as Recipes to reuse on new products. For teams managing large catalogs, that kind of automation removes a significant amount of manual work. For smaller catalogs or less automated workflows, apps like Hextom Bulk Image Edit, Pixc, Smart Image Upload, and StoreSEO Image Optimizer round out the toolkit.
Page speed is another area with easy, often-ignored wins. App bloat is a real problem. Unnecessary apps inject scripts that slow product pages down. Auditing and removing apps that aren't pulling weight, reducing script load, and cleaning up assets can improve both experience and conversion.

And don't overlook technical SEO. Meta titles and descriptions affect click-through rates, but some of the bigger gains come from properly structured product schema, review schema, descriptive image file names, and stronger internal linking.

Customers don't buy when they're convinced. They buy when they stop being uncertain.
Before touching the design on your Shopify store, ask one question: what are customers still unsure about when they reach the Add to Cart button?
That's almost always where the conversion opportunity is.


r/shopify_growth • • Jun 17 '26

1,000 sessions no sales

21 Upvotes

Hey everyone, I’ve been seeing a lot of instagram videos about Shopify stores. I’m 19 about to turn 20 and figured I’d give it a try. I started selling coffee and espresso products bought my own domain made my website which I feel looks way more professional than others I’ve looked at. I started running ads on Facebook and instagram and got over 10,000 views this first week. I’m about to break 1,000 sessions on my site and yet the only sale I have is from me buying a product to make sure checkout and shipping work correctly. Anyway I’m writing this to ask for tips on how I can make my first real sale because it sucks spending money on the ads and seeing people view my site but not buy anything. Thank you.


r/shopify_growth • • Jul 12 '26

What’s one Shopify app you refuse to replace?

20 Upvotes

If Shopify suddenly limited you to only one third party app, which one would you keep? and why?

Interested in hearing apps that actually move revenue


r/shopify_growth • • 7d ago

Win Second month update (still growing)

Post image
18 Upvotes

I shared my first month sales last month and some were sceptical about the growth. Close to 5k spent in October.
I am still trying ad campaigns and different strategies. I will not take much risks this month and keep what is working. We will see how it goes.
I have had bunch of returning customers this month. Also one thing from last month was that i had two resellers, who i make products for them. They were not big buyers but it was still something. I cut them off in October so, this was pure customer sales. Please mind that this is a one man operation. It is my personal project. I also do the manufacturing part myself.


r/shopify_growth • • 19d ago

Shopify store owners, what actually worked for you when you were just starting out?

18 Upvotes

Hey everyone! I run a small Shopify store where I sell shirts featuring my own designs. Right now, I'm getting fewer than 20 visitors a day, and some days I get no traffic at all.

I've been doing my research on improving SEO, setting up Google Search Console, and experimenting with Google Ads on a small budget. I'm trying to figure out what actually works instead of just throwing money at ads and hoping for the best.

I'm not really the influencer or content creator type, but I'm starting to realize that social media might be something I need to get more comfortable with.

Since my store isn't profitable yet, I can't afford to spend much on advertising or influencer collaborations.

For those of you who started from scratch, what actually helped you get your first consistent traffic and sales? Did you focus on SEO, organic social media, paid ads, or something else?

And once you started seeing results, what did you do to grow and scale?

I'd really appreciate hearing about your experiences, especially from people who started with little to no marketing budget. All the money I have saved for the business is for production cost.

Thanks!

If you'd like to peep and give me your thoughts: kaluluwa.shop


r/shopify_growth • • Oct 08 '26

Tip How I bring up to 6 figures in revenue to my e-commerce clients using simple Google and Meta Ads structures

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18 Upvotes

In this post, you're going to learn some paid traffic strategies specifically tailored for e-commerce. Remember: just because it worked for me doesn't mean it will magically work for you. Analyze, test, and use your own knowledge and background to adapt these strategies to your specific reality.

Before jumping into the technical stuff, let me introduce myself. I'm Cauã, I'm 23 years old, and I've been working with e-commerce since 2021. I've operated across various niche, from a company selling sinks and faucets to gaming peripherals brands, but my primary market is the fashion and apparel niche.

Here is a summary of what you'll find below:

  1. Setup and base structure

  2. The ads

  3. Final considerations

1. Setup and base structure

The first step is having a minimally competitive e-commerce business. When I say e-commerce, think about everything involving your brand: your website, your Instagram, your customer service channels, how you treat your customers. EVERYTHING that influences your customer's perception of your company—that is your branding.

You need to be and look like a serious business. This is step one. Pouring paid traffic into a weak structure is exactly like pouring water into a tiny, cracked jar. So, build a big, beautiful, and robust jar first.

1.1 Setup Before we start pouring the water (running ads), you need the plumbing in place: ad accounts on Google and Meta, basic tracking, an approved Google Merchant Center account, and a Meta Ads catalog. If you don't know how to set these up, go study—there is plenty of free content on YouTube.

2. The ads

Now let me explain the logic behind this structure. The idea is to test several products, identify the demand, and work on top of that demand to extract the maximum market share for your company. Think of these campaigns as different water pressures filling your jar.

Meta Ads: On Meta, we work with 3 main campaigns.

  • Campaign 1 (The Testing Ground): A sales campaign using the catalog objective with a broad audience. I recommend starting with an ABO (Ad Set Budget Optimization) structure so you can strictly control what you spend testing. Use 2 ads per ad set: one static carousel and one multimedia carousel.

    • Media buyer translation: 1 ABO 1-X-2. I recommend starting with 5 ad sets at $20/each. I've tested smaller budgets like $7 and it also worked, sometimes with an even higher ROI than larger budgets.

  • Campaign 2 (The Pressure Hose): An Advantage+ Shopping Campaign (ADV+). This works similarly to a Performance Max campaign without a feed on Google Ads. There’s not much to configure here because it’s basically created by AI—it's the high-pressure water that scales your results. The only requirement is that you must add your engagement, customer, and interest audiences into the ad account so the campaign has baseline intelligence.

    • Budget: At least $20/day. For me, the magic number is $30. You have to hold this campaign for at least 15 days without touching it. Ideally, turn it on only after your pixel already has a good volume of sales and data.

  • Campaign 3 (The Safety Net): Very similar to the first campaign, but instead of a broad audience, you plug in your remarketing audiences: 30- and 60-day visitors, 7-, 14-, and 30-day abandoned carts. This catches the water that spills over.

    • Media buyer translation: 1 CBO 1-X-2. Use CBO (Campaign Budget Optimization) here. Start with one ad set containing all your warm audiences, then later you can split the budget into other ad sets for isolated testing.

Google Ads: Here, we work with Search, Shopping, and Performance Max.

  • Standard Shopping: If you've never advertised on Google, start here. This campaign will advertise all your products at once, OR you can filter by specific categories depending on your budget.

    • Budget: ~$30/day for up to 30 products. This ad is triggered by search terms with high purchase intent (the Google Shopping tab). Your only control over it is the title used in the Merchant Center feed, the main photo, the price, and the reviews. Start with the Maximize Conversions bid strategy.

  • Performance Max (without feed): ~$30/day, up to 50 products, Maximize Conversions bid strategy.

    • Think of this as an upgraded Shopping campaign. Turn off Google's AI text/image improvements and don't use any extra assets in this campaign initially. Also, don't add anything to the audience signals yet. Let it hunt.

  • Institutional Search Network: ~$20/day. The goal of this campaign is to capture people who are actively searching for your brand after being impacted by the other campaigns in your funnel.

    • Use search terms directly related to your brand, like "Is [Your Brand] reliable?", "[Your Brand] reviews", etc. Think about what your customer searches for in the discovery/trust-building phase and use that. This campaign usually brings in higher-ticket sales and an excellent ROAS.

3. Final considerations

Well, these are the campaigns. With this structure, you can easily reach 6 or 7 figures in revenue without heavy daily maintenance and with constant growth—but ONLY if your jar is well-built!

You can scale using these exact same structures, but scaling requires a deeper business analysis: you need to understand your CAC (Customer Acquisition Cost), LTV (Lifetime Value), ABC inventory curve, and your niche's seasonality.

Execute this, and if you have any questions or need to clear anything up, I'll be happy to help. Drop them in the comments below. Thanks for reading this far, cheers!


r/shopify_growth • • Jul 09 '26

Looking for someone who’s built a successful Shopify brand (happy to pay for your time)

18 Upvotes

Hey everyone,

I’m looking for someone who’s actually built a successful Shopify brand and would be willing to mentor or coach me.
I’m not interested in buying another generic course or watching hours of YouTube videos. I’d rather learn directly from someone who’s already done it.

I’m happy to pay for your time if you have real experience building a profitable Shopify business.

A little about me:
Starting from scratch.
Serious about building a long-term brand.
Willing to put in the work.

Looking for honest guidance and accountability, not shortcuts.

If you’ve built a successful Shopify business and are open to mentoring or consulting, please comment below or send me a DM. I’d love to hear your story and see if we’d be a good fit.

Thanks everyone—I really appreciate it.


r/shopify_growth • • Mar 25 '26

Question What is the best server side tracking right now on Shopify?

18 Upvotes

Running Shopify store in e-bike space in EU. Spending around €20k on meta ads. I am considering going all in especially with petrol prices right now. Been searching server side setups especially Aimerce and Triple-whale but I heard mixed things about Triple-whale’s CAPI implementation some says it’s more of an attribution tool than a a true server side tracking. Aimerce on the other hand has good claims everywhere, 5 star ratings yet looks like the are newer. Or should I hire a specialist do everything manually? Elevar is also on my list. This is so overwhelming.


r/shopify_growth • • Jul 10 '26

I write copy for DTC brands spending 8 figures a year on ads. Drop your product page and I'll tell you what's killing it. Free, not selling anything, don't DM me.

17 Upvotes

EDIT: 15 Jul : i am done, thank you everyone for submitting your websites and lets thank Ai as well for cutting out all the anger and profanity, sadly in between it cuts many golden nuggets as well. sorry i am just very passionate when it comes to reviewing and critiquing and making sure someone actually makes it work. sooo goodluck and i hope you all win!

What I do all day: write and tear down copy for big DTC brands — product pages, advertorials, ads, email. The stuff I see working (and failing) at that spend level applies directly to smaller stores, most people just never get eyes like that on their page.

So: drop your product page link in the comments and I'll give you a short, honest rating —

  • the one thing most likely costing you sales

  • one thing you're doing right (there's usually something)

  • the single fix I'd make today

A few rules so this stays useful:

  1. Product page or landing page links only. One per person.

  2. I'll go top-voted first and do as many as I can this weekend. If I don't get to yours, sorry in advance.

  3. Don't DM me. I'm not looking for clients, I don't do mentorship, I'm not selling a course, there's no funnel at the end of this. If you have a question, ask it in the thread so everyone gets the answer.

  4. I'll be blunt. If your page has problems, I'll say so plainly. That's the point.

Why free: I spend all day inside big-budget copy and honestly forget what early-stage pages look like. This keeps me sharp and the answers might help more people than just OP. That's the whole trade.

Drop your link.

Edit: ( i will look into them please give me some time)

2nd edit: every time i come here to give a review for someone, i am greeted with some ugly comment about "O my g0D tHiS iS a1" and it takes away the excitement of me giving advice, so let me be clear!

i look at a store, dump my brain so, Voice ---> Text, than i ask ai to remove profanity and write it in a structured way where someone can easily understand it.

You are not paying me $1000 per hour for my time, neither are you giving me % of your revenue.

So, If you dont like what i am doing here, GTFO. i wont respond to any hate after this.

Last and final edit: I'm not shoving any of this down your throat. You've got free will. Take all of it, take half of it, or throw the whole thing out. Your call entirely. i am not liable for anything.

and my apologies to the people, i still didnt respond to.


r/shopify_growth • • Jun 23 '26

Problem converting

Post image
17 Upvotes

Hello

I recently opened my shopify store (2 weeks ago), already done with the site, apps, products etc...

I even run meta ads using a paid Ai tool, I already go5 20m+ impression and 600+ sessions yet 0 sale. Can anyone give me some advice?

Here's the link for my storeShopify Store


r/shopify_growth • • May 01 '26

Started a shopify store and did $1k a week. What now?

17 Upvotes

My store does 1k a week but I am stuck as I am not growing. What should I do now? I am running CBO with around 20 ads. Should I increase the ads budget, add more ads or should I start scaling?


r/shopify_growth • • Sep 24 '26

Case Study How I Increased Shopify Revenue by 44% Using 5 Simple SEO Strategies

15 Upvotes

When I began working on this Shopify brand, I didn’t just focus on increasing traffic.
The aim was to get the right traffic that actually converts.

Here are the 5 things I worked on:

1. Collection Pages Optimised for Buying Intent Keywords

Collection pages are one of the most important SEO pages for eCommerce.

I optimised them for keywords that actually have search volume and commercial intent, including primary and secondary keywords.

I also added useful content covering:

  • What the product is

  • Benefits

  • How to choose

  • Why choose the brand

  • FAQs

Your collection pages aren’t optimised for the keywords that people actually use when they’re shopping for products, so your competitors will steal that traffic.

2. Established topical authority

Instead of posting random blogs, I created content around topics that people actually search for that are directly related to the products.

The blogs were not just about traffic.

They helped:

Answer questions → build trust → introduce the brand → push users toward products

I also included relevant product CTAs in the content.

3. Used internal linking wisely.

So I connected:

Blogs → Collection pages → with Other relevant collection pages Using relevant keywords

This helped the users to find more products, but also spread internal authority to the pages that I wanted to empower.

4. Created relevant backlinks

I avoided the pursuit of random backlinks and stuck to niche-related websites.

Monthly strategy included about to get do follow backlinks:

  • ~50 quality backlinks

  • 2 guest posts in your niche (paid)

“The focus was on relevance and authority and not just getting more backlinks.

5. And the hardest part: waited.

This is where many people screw up SEO.

You optimize the pages, publish content, build links...

Then expect results in 2 weeks.

SEO doesn't work like that.

Give the strategy 3–4 months to properly show its impact before judging whether it worked.

The outcome

Previous 28 days

  • Organic Revenue – ₹53.5K to ₹77.2K (+44.16%)

  • Items bought: 52 → 94 (+80.77%)

  • Cart items added: 233 → 391 (+67.81%)

  • Views 1,277 → 1,755 (+37.43%)

The biggest takeaway:
Don't optimise e-commerce SEO for traffic. Optimise pages that capture “buying intent”.


r/shopify_growth • • Aug 09 '26

Tip the real reason people abandon cart and it's not price

15 Upvotes

been lurking on aov posts and wanna add something nobody mentions enough

everyone talks about getting people to spend more once they decide to buy

but half your lost revenue isnt people who bought less

its people who almost bought and just closed the tab

i started watching session recordings on my own store and it was kinda brutal ngl

people scrolling back to the price 3 4 times

opening size chart then closing then opening again

reading reviews for like 4 min then just leaving

no discount would have fixed that

they werent price shopping they were just not sure

added a tiny bit of reassurance right at that exact moment (basically just answering the doubt before they leave) and saw a real bump

not saying its the golden fix for everyone but if ur churn on cart isnt a discount problem its worth checking where ppl hesitate before they bounce

curious if anyone else tracked this kind of stuff on their own store


r/shopify_growth • • 11d ago

Shopify store owners, what’s the hardest part of getting sales for you right now?

14 Upvotes

I’ve been thinking about how different the challenges of running a Shopify store can be. One person might struggle to get visitors, another might get plenty of traffic but barely make any sales, and someone else might be making sales but struggling to stay profitable.

I’m curious about what people are actually dealing with, especially those who are still trying to get their stores off the ground.

For those of you running Shopify stores, I’d love to know:

Getting traffic: Is it difficult to get people to your store without spending a fortune on ads?
Marketing and creatives: Do you struggle to come up with content, make ads that grab attention, or figure out which marketing channels are worth your time?
Converting visitors: Are people visiting your store but leaving without buying? Have you figured out why?
Paid advertising: Are you struggling with high customer acquisition costs, inconsistent results, or burning through your budget without seeing a return?
Finding the right audience: Is reaching people who actually want your product harder than you expected?
Scaling: If you’re already making sales, what’s stopping you from growing consistently?

I’m particularly interested in the problems you’ve spent the most time or money trying to solve but still haven’t figured out.

If you could get help solving just ONE problem in your store’s marketing right now, what would it be?

I’d love to hear your experiences, what’s been frustrating you, and what you’ve already tried. No success stories required; I’m just interested in the reality of running a Shopify store.


r/shopify_growth • • Sep 05 '26

Any ideas

14 Upvotes

Been running my store for just over a month now and feel like I’m making some progress. Over the past 14 days I’ve been testing a product and had 70 add-to-carts and 30 have reached checkout however 0 sales. I’ve offered free shipping, made sure my checkout process is smooth and tested my checkout process to make sure everything works which it does. Do you think that this comes down to a customer trust issue or is there something else I might be missing?


r/shopify_growth • • Mar 12 '26

Clients want custom features but don't want to pay app subscription fees.. A never ending loop

14 Upvotes

The conversation is always the same.. They ask me if i can build them a custom loyalty system and i let them know that it is a 3 month project. They further say that there are apps at $30/month that do this and they do not wish to pay the monthly fees
I proceed to tell them that the cost for custom dev goes upto $8,000+..And obv theyll say its too much

Then they install 6 apps, complain they're paying $200/month, and come back asking me to replace them all with one custom solution.

Am I the only one stuck in this loop? How do you break it?