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GamecockAlum2019 said... (original post) This is what appears on my MacBook using Google Chrome: I had to make an admin change on my Shopify store. It should adjust 24-48 hors but probably sooner Thanks for your patience

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I have added a TL;DR at the bottom Few days ago someone here asked me how to scale with Google Ads. I responded quickly. In hindsight, it wasn’t the full answer. I hate half-answers. So here’s the real one. If you're 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 don’t need education. They don’t 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've saved a lot of money and time. But here's what most store owners learn later: Traffic isn’t the problem. Your System is. Once traffic starts coming in, most people bleed money because they rely only on ads and ignore systems. That’s like pouring water into a bucket with holes. Here’s the truth almost no beginner wants to hear: Ads bring visitors. Systems turn a profit. Collect Feedback: I realized I was testing creatives blindly and wasted money testing creatives 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. A/B Testing: 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. 3.) Competitor spying saved me from scaling dying products way too long. A few times I noticed competitors quietly entering discount wars before margins completely collapsed. That helped me avoid wasting more money on products that were already getting saturated. 4. ) Retargeting: Most people don’t buy on the first visit. That’s normal. But many stores run retargeting poorly by optimizing for conversions again instead of just staying familiar long enough. Awareness/impression-based retargeting is usually much cheaper and works surprisingly well once the first click already handled buying intent. 5.) Emails: In the last 12 months, email alone generated $150.8k out of $554.6k in revenue. Not by doing anything fancy. Just by automating what already works. abandoned cart flows welcome discounts review request emails product recommendations happy customer proof back-in-stock notifications Simple. Predictable. Compounding. Now the part I wish someone told me early: I used to run my stores with multiple apps. One for flows, one for popups so I can collect their emails, one for reviews so I can collect reviews, one for wishlist and to send back in stock emails. Tabs everywhere. Different apps to write different emails. Branding never looked consistent. Frustration nonstop. Not to mention that 20$/month subscription for each app added up. So I built EmailWish because I just wanted one tool that did all this cleanly: Automations Popups Reviews Wishlists Chat No tech headaches. No “connect this to that” nonsense. Not even emails to write. More time selling, less time fixing. Aaaaand it's free. If you’re early, all you really need is: Google Shopping ➜ Customer feedback ➜ A/B testing ➜ Retargeting ➜ Email automation Simple systems scale. Noise wastes months. Tl:Dr: Don't want to do anything yourself ?No worries !!! Just read below. Want to spy on your competitors and spot dying products quickly? Install Lurk and get real time pricing alerts. Tired of wasting money on ads that never convert? Use Formiva to collect customer objections and feedback automatically. Want to increase conversion rate automatically? 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 If you want, drop your store. I’ll tell you what ads + email setups would work for you. submitted by /u/thicc_fruits to r/shopify_growth [link] [comments]

I sell handmade bling products like self defense keychains, stylus, phone cases, id Badges, liquor bottles, etc. I had a store on Etsy and was doing GREAT! But they kept flagging me for weapons even though the items I were selling did not have anything with weapons, either way they shut my store down permanently. So I need to look for other options. I did open a Shopify account. It’s very confusing to me. Etsy was easy and they had the customers. I want my page to look beautiful and all set up and then someone to show me what to do but the designing I don’t want to do . I don’t have a lot of money. I’m talking a few hundred if someone is willing to help me? submitted by /u/Brief_Dimension to r/DeveloperJobs [link] [comments]

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? submitted by /u/Ok-Mechanic-2174 to r/shopify_growth [link] [comments]

First off, We want to say a huge thank you to everyone who commented on my previous post. Your recommendations were incredibly helpful and gave us the exact roadmap we needed to diagnose what was actually happening. However, we uncovered a massive blind spot in Shopify’s architecture. Based on the community’s advice, we locked down the site. We implemented every standard defense: Added strict hCaptcha/reCAPTCHA specifically on the add-to-cart and checkout flows (not just forms). Installed premium Shopify bot protection apps that block based on user behavior, not just IP addresses. Configured aggressive rate-limiting on add-to-cart requests via our own Cloudflare (using Challenge Mode, not just basic WAF rules). Temporarily blocked all traffic from suspicious countries and ASNs. Fully disabled and hid all Out of Stock (OOS) products, since those were clearly being targeted by the bots. Despite all of this, the bots were still getting through. We finally dug into the logs and realized why: The bots were not hitting our main domain. they were entirely bypassing our front-end and sending traffic directly to the shopify.clientwebsite.com subdomain. Because that subdomain is hard-routed and managed entirely under Shopify’s Enterprise Cloudflare, every single custom WAF rule, rate limit, and IP block we built in our Cloudflare Pro account was rendered completely useless. We had zero control over the traffic hitting that subdomain. We immediately escalated this to Shopify Support, explaining that malicious traffic was bypassing our security by exploiting their subdomain routing. Their response? They essentially told us they couldn't help us. Even though the vulnerability is on a domain managed by their infrastructure, they offered no backend block or custom WAF rule to stop it. This is the ONLY one helped we went into the settings and forced Customer Accounts Required for Checkout. (Settings > Checkout > Require customers to log in to their account before checkout). submitted by /u/DiscoverMyBusiness to r/shopify [link] [comments]

I added reviews with Judge.me, then a loyalty program, and suddenly I’m paying for multiple apps on top of Shopify… while I have barely launched and made sales. And the worst part? The features you actually need (like multilingual emails for EU stores) are locked behind paid plans. I am based in the EU. For example: My store is in Dutch, German and English but review request emails go out in English unless I upgrade and I have to pay for that. Plus I am alreadyon 14 days free trial for Love loyalty app for rewards and points after which I start paying. I feel this is so overwhelming. It feels like profits = subscriptions 💀 How are other small store owners handling this? Are you actually paying for all these apps early on when you start? (because they do seem significant for user experience) Would love to hear how you approached this without burning money. submitted by /u/Confusedmind75 to r/shopify [link] [comments]

I added reviews with Judge.me, then a loyalty program, and suddenly I’m paying for multiple apps on top of Shopify… while I have barely launched and made sales. And the worst part? The features you actually need (like multilingual emails for EU stores) are locked behind paid plans. I am based in the EU. For example: My store is in Dutch, German and English but review request emails go out in English unless I upgrade and I have to pay for that. Plus I am alreadyon 14 days free trial for Love loyalty app for rewards and points after which I start paying. I feel this is so overwhelming. It feels like profits = subscriptions 💀 How are other small store owners handling this? Are you actually paying for all these apps early on when you start? (because they do seem significant for user experience) Would love to hear how you approached this without burning money. submitted by /u/Confusedmind75 to r/ecommerce [link] [comments]

My first Shopify store didn’t “struggle”… it failed. Not in a dramatic way, but in that slow, frustrating way where you’re doing everything right on paper and still losing money every week. I tested products, worked on creatives, optimized the product page, tweaked ads over and over… and yet nothing really clicked. Some days were okay, but there was no consistency, no predictability, no real growth. At the time, I was convinced the problem had to be external. Maybe the product wasn’t good enough, maybe the market was too saturated, maybe my ads just needed more optimization. Looking back, none of that was the real issue. The actual problem I didn’t understand my customers at all. Every single person who landed on my store saw the exact same thing, got the exact same message, and was pushed toward the exact same offer. In other words, I was treating completely different people as if they were identical. Which meant that everything I was doing was based on assumptions. I was guessing what they wanted, guessing what mattered to them, guessing what would convince them to buy. And most of the time, I was wrong. What I changed for my second store For my second store, I made a very simple but uncomfortable shift: I stopped trying to sell immediately, and I focused first on understanding who was actually in front of me. Instead of sending traffic directly to a product page, I added a conversational step before the offer. Not a boring survey, but something that actually felt like a guided flow where the customer could express what they were looking for. That one change ended up making a bigger difference than anything else I had tried before. What I started collecting (and why it matters) Before that, the only thing I was collecting was name and email, which sounds useful but is basically useless if your goal is to actually convert. This time, I focused on information that directly impacts buying decisions. I started understanding what people were really looking for, not just what product they clicked on. I added questions that gave context about their situation, so I could differentiate between someone just exploring and someone who was ready to buy. I also paid attention to their main problem or goal, because that’s what should drive your messaging, not your product features. And maybe most importantly, I started getting signals about budget, expectations, and urgency, which completely changes how you should present an offer. What this changed in practice The biggest difference wasn’t just “more data”, it was how that data changed everything downstream. First, my messaging became way more precise because I wasn’t guessing anymore. I could literally see patterns in what people were saying and adjust accordingly. Second, my offers became more relevant. Instead of showing the same thing to everyone, I could adapt the experience based on what the user actually needed. Third, my conversion rate improved, not because I “optimized a button”, but because the whole experience felt more aligned with the person going through it. And finally, I stopped wasting traffic. I wasn’t trying to force every visitor into the same funnel anymore. Important: this only works if the form is actually useful A lot of people misunderstand this part and think “okay I’ll just add more questions”. That’s not the point. If your form feels long, irrelevant, or disconnected from the experience, people will drop instantly. The key is that every question should feel logical and should influence what happens next. Otherwise, you’re just collecting data for no reason and creating friction. How I set it up I used Formiva to build those conversational flows, mainly because it made it easy to structure questions in a way that adapts to each user instead of forcing everyone through the same path. What mattered to me wasn’t “having a form”, but being able to turn user input into something actionable, without ending up with messy data and manual work behind the scenes. The real takeaway Most Shopify stores are trying to scale while still guessing who their customers are. That’s the real bottleneck. You don’t necessarily need more traffic, better creatives, or a new product. You need to understand the people you’re already getting in front of. Because once you do that, everything else becomes easier: your messaging gets sharper, your offers make more sense, and your conversions improve naturally. My first store failed because I was guessing. My second one worked because I stopped guessing and actually listened. Turn your Shopify visitors into real inquiries 👉Install Formiva – Create Smart Forms on Shopify (No Code) Curious what’s something you wish you knew about your customers before they decide to buy? submitted by /u/Business_World4272 to r/Dropshipping_Guide [link] [comments]

Woke up this morning to my inbox completely buried under thousands of spam emails. promotions for random craft fairs in europe, luxury brands i never signed up for, newsletters piling up so fast i could barely scroll. thought it was just another bot attack and started deleting in bulk but something felt off so i paused and actually searched for shopify. buried like 400 emails deep were three critical ones i almost missed. one said a recovery code was used to log in. never requested it. another welcomed me to shopify credit which i definitely did not apply for. and the third had financial disclosures for a new line of credit. heart just stopped. logged in immediately and there it was. someone had opened a 30k credit line in my stores name and already racked up 25k in fraudulent charges for fake bulk orders to drop addresses. all within hours. i have 2fa on everything. authenticator app not sms. changed all passwords locked everything down reported to shopify support right away. they say investigation could take 90 days and charges might get reversed but the account is frozen now for suspicious activity which is insane because the hack already happened. other merchants are messaging me saying same thing happened to them. spam flood to hide the real notifications. this store was finally hitting 8k a month after a year of grinding products testing ads building trust. now everything paused customers emailing why site down potential refunds piling up. cannot even process real orders. feel like throwing up. how does this even happen with 2fa. is there any way to speed up shopify disputes or recover faster. anyone been through this nightmare and clawed back. please tell me this is recoverable before i shut it all down. submitted by /u/Fun-Training9232 to r/shopify [link] [comments]

Disclaimer: this post was not AI generated. It's a genuine research that I'd like to share with the community and hopefully bring some value. Disclaimer 2: The software I coded for this is open-source and publicly available*. I won't share any links to my Github repo as I assume it's against the rules. If mods do allow, I will update the post.* Hi, I've been working as a Shopify developer for nearly a decade, and it had always been complex to prove that apps take a toll on a Shopify store's performance. To bring some evidence to the table, I analyzed more than 10k stores and processed publicly available data thoroughly: apps being used, theme and performance data. Today's post is a way to affirm with evidence two things: Yes, having apps does slow down your store. Yes, you can still have a fast store with apps installed (even though it's not a straightforward, "one size fits all" approach). To prove my point, I took advantage of the ever-so-rising capability of AI (before it's their turn to take advantage of us) to do what would have taken me months manually: I fetched and analyzed precisely 10,205 Shopify stores to try to finally put numbers to what I had been seeing for years. Before we dive into the juicy data and numbers, I want to explain a tiny bit of the technical side of this and how I collected and cleaned this data to ensure the results were accurate. Below are some technical details. Skip to "Finally some data" if you don't care about the methodology. How I found the Shopify stores All stores in this study were sourced from PublicWWW. It's a search engine, just like Google, that lets you search the web by source code rather than content. Shopify websites have specific pieces of HTML code that make it 100% certain it's a Shopify website, so that's how I found them. After collecting a large amount of websites, not all of them were valid. I removed all unusable ones: inactive stores, stores that only had the "password" page, stores that didn't have any product updates for more than 3 years. To check whether a store had a product update, I added a functionality in my software to gather data from the most recently updated products (which is publicly available in every Shopify store, like this: mystore.myshopify.com/products.json). If the store didn't have any product updates for the past 3 years it's not active enough to be useful for this study, so it was not used. How I measured speed After collecting the stores, I started tracking down speed. Google PageSpeed Insights (which I will refer to as PSI from now on) is the industry standard when it comes to detecting speed. This is what Shopify recommends as well, along with its own speed insights on the dashboard. (source). PSI is reliable because you can't fake the scores. Plus it's what Google itself uses to rank your website. Having a good score on PSI is always helpful. It ranks from 0 to 100; the higher, the better. From there, I built a custom algorithm that ran each URL through Google PSI 10 times. Yup, 10 times. (I'm sure I hold a special place in Google's heart after overloading their servers for this). Sometimes you get a lot of discrepancy between the results, so testing each store 10 times, I was able to get a more accurate average score. I was sending roughly 1k requests per minute spread across a few APIs. How I identified what apps a given store was using Once I had the performance data, I proceeded to detect the active theme and identify what scripts were being injected, both in the and tags. I used AI to find patterns of the scripts on the stores and identify whether the scripts belonged to a specific app: if the same script shows up across more than one store, it's likely an app. With that information, I'd ask the AI to research that for me, and I was able to track down its name and category. How consistent is the theme tracking: what if the theme was renamed? When you rename your theme, it changes a piece of the code in a file named settings_schema.json. There are two pieces of code in this file responsible for naming: "name" and "schema_name". Unless you manually edit this file, you will not rename the "schema_name", which is the name of the theme you're using. However, even though it's rare, some people do rename it and I would like to prevent that from affecting my data. So I created a script that identifies specific parts of the HTML code of the most popular themes (Dawn, Horizon, Prestige, etc) and, even if you do rename the "schema_name", I'd still be able to detect it most of the time. I created this script a long time ago for a different purpose, so I just reutilized and updated it for this scenario. For example, the Dawn theme has a very specific code present in the header. So if you renamed your schema_name to something else, I'd still be able to detect it's likely a Dawn theme. It's worth mentioning that this double-checking process was not necessary for over 99% of the themes in this study. So, yeah, more like an unnecessary flex than actual helpful code... Finally some data: the illusion of speed and average real speed of most stores I've heard many times affirmations along the lines of: "my store is loading pretty much instantly on my end, I don't think we need to optimize it". Your store will always feel fast to you because of cache: cache is like a memory. It stores all code, data and images so it can load faster on the second visit. PSI measures that first, fresh visit. That is why using it to accurately track speed is critical. Alright, enough talk; let's take a look at some of the data found in this study and how we can use it to your personal benefit as a Shopify dev, merchant, or both. Across 10,205 active Shopify stores: the average mobile score was 54 out of 100. Only 1.83% of stores scored 90+. 32.68% scored below 50. (critical state) For reference, a 90+ score is what is considered perfect. If that sounds rough, it gets worse when you look at what is driving it. Average load metrics Here is how the average Shopify store performed on each one, on both mobile and desktop: Metric What it measures Mobile avg Desktop avg Google's passing threshold FCP - First Contentful Paint Time until the first element appears on screen 4.2s 0.84s 1.8s LCP - Largest Contentful Paint Time until the main content appears on screen 12.3s 2.3s 2.5s TBT - Total Blocking Time How long the page is unresponsive to clicks and taps 412ms 321ms 200ms CLS - Cumulative Layout Shift How much the page jumps around while loading 0.09 0.12 0.1 Speed Index How quickly content is visually filled in 7.3s 1.9s 3.4s TTI - Time to Interactive Time until the page is fully usable 19.2s N/A 3.8s TTFB - Time to First Byte Time until the server starts responding 17.8ms 16.4ms 800ms A few things worth noting here: Desktop LCP averages 2.3 seconds - just under the 2.5 second passing threshold. Mobile averages 12.3 seconds - nearly 5x over it. TTFB is excellent on both mobile and desktop. Shopify's infrastructure is fast. The problem is not the server, it is everything the browser has to load after the server responds. CLS is actually worse on desktop (0.12) than mobile (0.09), and both are right around the 0.1 threshold. Layout shift is a widespread issue regardless of device. The only metric where most stores are doing well is FCP on desktop (0.84s, well under the 1.8s threshold). Every other mobile metric is failing by a wide margin. TTI on mobile averaging 19.2 seconds means a first-time visitor on a phone is waiting nearly 20 seconds before they can reliably tap a button, add to cart, or interact with anything on your store. The cost of every app you install The average Shopify store in this dataset had 4.84 apps installed, loading 76 scripts on every single page visit. Stores with no apps averaged 74.84. Stores with 10+ apps averaged 39.17. That is a 35-point difference. The correlation between app count and mobile score was -0.48 - a strong, consistent negative relationship. Every app added carries a measurable cost. Apps installed Avg mobile score 0 74.84 1-3 61.12 4-6 53.55 7-10 46.88 10+ 39.17 20% of stores loaded more than 100 scripts per page, averaging a mobile score of 43.34. Only 2.05% of stores had zero apps installed. Individual app impact The following apps were found to have the biggest impact on speed. The number represents how many points lower the score was, on average, compared to stores that did not have that app installed: Hotjar: -11.5 pts Afterpay: -10.6 pts Klaviyo: -9.5 pts Shogun (page builder): -9.25 pts Klarna: -9.14 pts Privy: -8.96 pts Facebook Pixel: -8.8 pts Yotpo: -7.56 pts PageFly (page builder): -6.32 pts Smile.io: -5.85 pts Loox: -5.82 pts Judge.me: -5.48 pts Omnisend: -4.45 pts Stores using page builders averaged 47.34 vs 55.38 for stores without one (a difference of 8 points). Stores with a GDPR or cookie consent app averaged 46.63 vs 55.18 without (a difference of 8.55 points). Stores with a live chat app averaged 45.04 on mobile, compared to the dataset average of 54.77. Stores with a BNPL app (Afterpay, Klarna, Sezzle) averaged 45.11 on mobile, also compared to the dataset average of 54.77. Important note: some page builders are not in this list since they do not inject tags in the theme, but still inject sections which is equally damaging for your store's performance. (Sections Store, GemPages, etc). The trap of analytics apps (Google Analytics, Facebook Pixel, etc) This one caught me somewhat off guard, even though I had a hunch. Most people would expect analytics tools to be neutral: they just collect data, they do not change what the customer sees. But the truth is that every analytics tool you add injects scripts that the browser has to load before your page is fully interactive. And the data shows it clearly. The more tracking tools a store had installed, the lower the score - without exception: 0 analytics tools: avg mobile score 74.71 1 analytics tool: avg mobile score 60.4 2 analytics tools: avg mobile score 53.9 3 or more analytics tools: avg mobile score 44.56 To be even more specific, most stores running ads will have at minimum: Google Analytics 4 - to track traffic and conversions. Found in 9,994 stores (97.93% of the dataset), averaging a mobile score of 54.35. Facebook Pixel - to track ad conversions and build audiences. Found in 5,746 stores (56.31%), averaging a mobile score of 50.93. A drop of ~9 points compared to stores without it. Google Tag Manager - often installed to "manage tags in one place", but in practice used to load even more scripts on top. Found in 1,411 stores (13.83%), averaging a mobile score of 44.42. Hotjar - to record sessions and heatmaps. Found in 537 stores (5.26%), averaging a mobile score of 43.91. A drop of 11.5 points compared to stores without it. Microsoft Clarity - similar to Hotjar, session recording and heatmaps. Found in 696 stores (6.82%), averaging a mobile score of 42.09. One of the lowest averages of any single tool in the dataset. TikTok Pixel, Pinterest Tag, Microsoft Ads - one for each ad platform you run. Each one fires a separate script on every page visit. There was not enough data on these to reach any relevant conclusions. Before you have installed a single app, you are already at 4 or 5 analytics scripts loading on every page visit. Each one fires independently, each one takes time, and your customer waits for all of them before your page is fully usable. However, it's not about not using tracking apps. I have customers running 5 tracking apps at once with 97 score on mobile. Any developer specialized in optimization can lazy-load the apps and ensure they are not loaded before the site, but it does always require a tailored approach for each store. Does your theme matter? It does. Your theme is the foundation everything else is built on. Before a single app is installed, the theme alone determines how many scripts are loading, how heavy the page is, and what your baseline score looks like. Here is what the data showed: The best performing themes (average mobile score) Spotlight - 72.32 Simple - 66.54 Ride - 66.70 Studio - 65.17 Craft - 64.74 Sense - 64.26 Venture - 62.23 Refresh - 63.78 The pattern is consistent: the best performing theme is Dawn. All of these themes are actually built on top of Dawn with different colors and design. Namely: Refresh Colorblock Taste Ride Studio Crave Origin Spotlight Publisher Sense Craft Dawn tends to be leaner out of the box, with fewer built-in components and lower average script counts. The worst performing themes (average mobile score) Gecko - 35.94. Wokiee -39.55. Superstore - 40.42, avg 132 scripts - the highest of any theme in this list. Testament - 42.37 Icon - 43.15 Vantage - 43.86 Empire - 45.85 Turbo - 49.75, found in 229 stores. Despite its name, it was one of the heavier themes in the dataset. Notable mentions Prestige - one of the most popular premium themes with 378 stores. Average mobile score: 55.95, avg 84 scripts, avg 6.31 apps - one of the highest average app counts of any major theme. Horizon - avg mobile score 58.25, but avg 108 scripts - one of the highest script counts relative to its score. Unfortunately not enough data was fetched to disclose more about Horizon's performance and the newest free themes. Debut - one of the vintage free themes with 562 stores still using it. Average mobile score: 59.39, avg 58 scripts. Leaner than most. Best and worst combination in the entire dataset Best: Dawn with zero apps - avg mobile score 84.47. Worst: Testament with 7 to 10 apps - avg mobile score 28.47. A 56-point difference between the two extremes. Most used apps & themes Beyond speed, here is a look at what most Shopify stores are actually running in 2026. Most installed apps Google Analytics 4 - 9,994 (97.93%). Pretty much every single store uses it. Facebook Pixel - 5,746 (56.31%) Klaviyo - 2,629 (25.76%) Mailchimp - 2,558 (25.07%) Google Tag Manager - 1,411 (13.83%) Judge.me - 1,372 (13.44%) Yotpo - 1,058 (10.37%) Bold - 995 (9.75%) POWR - 777 (7.61%) Segment - 709 (6.95%) Microsoft Clarity - 696 (6.82%) Privy - 687 (6.73%) Hextom Announcement Bar - 598 (5.86%) Smile.io - 595 (5.83%) Stamped.io - 584 (5.72%) Microsoft Ads (Bing) - 568 (5.57%) Hextom Free Shipping Bar - 566 (5.55%) Hotjar - 537 (5.26%) Google Analytics (Universal) - 503 (4.93%) Customizery - 477 (4.67%) Afterpay - 474 (4.64%) Rebuy - 215 (2.11%) Shogun - 201 (1.97%) Loox - 198 (1.94%) Swym Wishlist Plus - 192 (1.88%) Klarna - 189 (1.85%) PageFly - 187 (1.83%) Omnisend - 182 (1.78%) Attentive - 178 (1.74%) Growave - 174 (1.70%) Most used themes (number of stores using it) Dawn - 788 Debut - 562 Prestige - 378 Impulse - 345 Minimal - 296 Symmetry - 248 Turbo - 229 Supply - 221 Venture - 183 Pipeline - 176 Brooklyn - 166 Empire - 143 Broadcast - 132 Parallax - 129 Retina - 123 Responsive - 117 Motion - 107 District - 101 Testament - 101 Craft - 96 Warehouse - 95 Simple - 91 Flex - 87 Focal - 84 Blockshop - 83 Impact - 83 Venue - 76 Studio - 72 Expanse - 71 Ella - 70 Refresh - 67 Showtime - 66 Mobilia - 66 Narrative - 66 Atlantic - 64 Fashionopolism - 64 Palo Alto - 62 Envy - 62 Icon - 61 Showcase - 60 Boundless - 59 Canopy - 57 Enterprise - 56 Stiletto - 55 Flow - 54 Vantage - 50 Be Yours - 49 Pop - 49 Horizon - 40 Boost - 40 New Standard - 37 Spotlight - 34 Taste - 34 Ride - 33 Galleria - 31 Mr Parker - 30 Pacific - 30 Reformation - 29 Kalles - 26 Superstore - 24 Minimog - 24 Trade - 23 Shella - 23 Local - 22 React - 22 Split - 22 Radiance - 22 Baseline - 22 Wokiee - 22 Crave - 21 Expression - 20 Kingdom - 20 Sleek - 19 Alchemy - 19 Editions - 19 Lorenza - 19 Shapes - 13 Conclusion The data is clear, and it confirms what I had been seeing for years. It also tells a more nuanced story than "apps are bad, delete everything." And here is the final crunch of numbers for this post: The average mobile score is 54 out of 100. Less than 2% of stores score 90 or above. The average store loads 188 separate requests and 4.9 MB of data on mobile before the page is usable. The average time until the main content appears on mobile is 12.3 seconds. Google's passing threshold is 2.5 seconds. The average time until the page is fully interactive on mobile is 19.2 seconds. 91.78% of stores score lower on mobile than on desktop, with an average gap of 18 points. The best theme and app combination in the dataset averaged 84.47 on mobile. The worst averaged 28.47. A 56-point difference driven entirely by what you choose to install and how it is loaded. Happy to answer any questions about the methodology or the data in the comments. submitted by /u/dpwdpw to r/shopifyDev [link] [comments]

Or what is that important area where you've finally put your effort and got significant results? submitted by /u/Ok-Day9977 to r/shopify [link] [comments]

So I’ve just started my shopify store, like it hasn’t been one week since the domain has been up (I recently had issues now it’s been resolved). I haven’t had any orders from my store. It’s cosmetics store and we sell a niche product. I’ve been marketing organically and posting 3-5 times a day. How long did it take you to start getting orders? What was your progress in the first year? submitted by /u/Top_Mirror211 to r/Entrepreneur [link] [comments]

I see a lot of posts here from people frustrated that their store isn't converting. I was in the same spot not too long ago, so I want to share what actually worked for me no fluff, just what changed. Quick numbers for context (Feb 1–17): Total Sales: $11,158.62 Orders: 251 Conversion Rate: 3.89% Growth: ~1,300% compared to the previous period Here's what I tweaked: Your store has to convert BEFORE you run ads Most people throw money at Meta ads with a store that isn't ready. Fix your product page first clear headline, strong images, social proof (reviews), and one obvious CTA. If your store can't convert warm traffic, cold ad traffic will just bleed your budget. Meta Ads stop guessing, start testing I ran a simple CBO (Campaign Budget Optimization) campaign with 3–4 ad sets targeting different interest groups, each with 2–3 creative variations. Let Meta's algorithm figure out what works. Don't touch it for at least 3 days after launch. Creative is everything right now Static images are dead for cold audiences. Short-form video creatives (even simple UGC-style clips) dramatically improved my CTR. If you don't have video, use carousel ads with strong lifestyle images. Retargeting is where the money is I ran a separate retargeting campaign for people who visited the product page but didn't buy. This alone recovered a significant chunk of otherwise lost sales. Set this up even with a small budget ($5–10/day). Pricing psychology matters I tweaked my pricing to end in .99 and added a "limited offer" bundle. AOV went up and it made the ad spend more efficient. The biggest mindset shift? Stop optimizing for clicks optimize for purchases. Set your Meta campaign objective to Purchase conversions from day one, even if it takes a few days to get data. Happy to answer any questions. What's the biggest thing you're currently struggling with? submitted by /u/emmanuella_ella to r/dropshipping [link] [comments]

Hey fellow hustlers👋 I’ve been working on a Shopify app for last couple of months (I built this as I faced same issue multiple times on Shopify stores) and I want to give this app for free to a small group of early users who are willing to give honest feedback and help be decide if I continue burning money on this 😭 or quit. However, the reach for outreach on LinkedIn has not been fruitful, any ideas from any other Shopify app developers or Shopify merchants? submitted by /u/Pristine_Company_667 to r/smallbusiness [link] [comments]

submitted by /u/Head-Dragonfruit27 to r/coldemail [link] [comments]

submitted by /u/YoureASkyscraper to r/Music [link] [comments]

submitted by /u/Hrmbee to r/notthebeaverton [link] [comments]

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submitted by /u/yogthos to r/onguardforthee [link] [comments]

Social media has over saturated our market with tons of small businesses like this. Be creative and provide something people would actually want. submitted by /u/straight_man517 to r/smallbusiness [link] [comments]

submitted by /u/AudibleNod to r/news [link] [comments]

Hey guys, Last month I realized anyone could pretty much find out who the biggest Shopify stores are since they're all hosted under the same IP: 23.227.38.32 Knowing this, I scraped the Top 100 Shopify Stores by Alexa Rank, using myips.ms - so these are the most visited e-commerce stores using Shopify in the whole world: Full list of the top 100 Shopify stores (Image) (P.S: I transformed the Alexa rank into Estimated Monthly Traffic for easier understanding) Now, as for my findings: 1. Clothing is king, and the whole Fashion niche rules over everything. Full break-down of Niches (Image) Of the top 100 Shopify Stores, 29 had Clothing as their main niche. Add Accessories, Footwear, Underwear plus Swimwear stores - which amount to 21 stores in total - and you have exactly 50% of the top 100 stores belonging somewhere and somewhat in the Fashion niche. Taking a closer look, the biggest store currently on Shopify is Fashion Nova, which is a fashion company (well, duh) with over 21 million visits per month. Their traffic numbers are actually 3 times as large as their 2nd competitor (which is a makeup store). Now, this really is The Mountain vs Oberyn levels of competition. Fashion Nova can essentially A/B test their landing pages and user experience until their conversion rates just blow away every competitor. And even then, this as a whole will benefit the entire Fashion niche - as they can simply steal learn from Fashion Nova UX choices and improve their own conversion rates for free. No other niche has this much free information to be studied and replicated online. Main takeaway: If you want to start a new e-commerce store or expand yours, a local needleworker can end up being more helpful than mindlessly browsing Ali-express. 2. You don't need to have Walmart prices to sell like Walmart. Full breakdown of the Best-sold Product prices (Image) Yes, some 29% of the Best-Sold Products on the list are under 25$, but 50% of the top stores have their Best-Sold product at a price point above 50$. Were you expecting this? I really wasn't. This means big stores aren't obliged to do drop-shipping prices, even though some of these stores are (clearly) sourcing products for cheap in Asia. Branding up and niching down seems to be the absolute key here. And see it for yourself - go to any store from the list, and check if you can't identify their customer persona straight away. All these stores have made the effort to laser-target their niche because that means they'll be the only ones able to satisfy it. Finally, having a larger margin per product is also one of the very few ways these stores get to increase their sales - because larger product margins will mean a larger advertising budget, which in the end will mean a larger number of customers reached. Remember that almost all of these stores survive and grow strictly through Facebook/Instagram ads - 93% of these 100 stores are using Facebook ads (trust me, I checked them one-by-one). Main takeaway: Always focus on selling the benefit and not only product features, so you can brand yourself and distance your product from the common Youtube drop shipper. 3. Mobile Site Speed isn't a concern when you get a lot of traffic. Mobile Site Speed breakdown (Image) Some of these stores are taking longer to load on mobile than Usain Bolt took to run 100 meters on the Olympics. It's this bad. And because of this, it would seem that Site Speed doesn't affect nearly as much the sales or traffic numbers as one would predict. However, this a misleading behavior that you shouldn't replicate. Yes, these stores still have their traffic and large sales numbers for sure - but Amazon found in an early e-commerce study that for every 100ms (meaning 1/10 of a second) of site delay, they lost 1% of sales. (Source) Meaning many stores in this list could, in theory, almost double their sales numbers, by just working to decrease their site speed to regular values - and all this without ever having to increase their traffic numbers. This is free money they're leaving on the table every month. Main takeaway: Focus on having your e-commerce site speed low (especially mobile site speed), because unless you already have traffic in the hundreds of thousands and/or an established brand, your sales will tank (or never even takeoff). And that's it for today. Now, you can check the full interactive database of my data here ⬅️ but it's okay if you don't because I'll keep posting more data-based insights right here. Thanks! submitted by /u/Sr_Noodles to r/Entrepreneur [link] [comments]