Shopify

ShopifyストアにInstagram...ョッピング（Shopifyとの連携）」を...定した上で、Shopifyの無料テー...

... the likes of Ebay and Shopify use enterprise grade technology. Also...

..., mas vocês podem denunciar a shopify (host da loja), mercado pago...

..., or product descriptions tailored for Shopify, Amazon, or WooCommerce.

Amazon 80% ZAH1DE SHOP 20% Techpunt 0% Zalando 0% Shopify 0% TikTok-Shop 0% Temu 0% Shein 0% Apple 0% Samsung 0%

기존꺼로 메일 보내니까 shopify 꺼는 지들이 이제 모른다고 딴데로 보내라는데 ㅅㅂ

submitted by /u/ricekrispysawdust to r/programming [link] [comments]

Big Mistake working with Shopify. I somehow entered my payout bank account incorrectly — or at least that’s what they’re claiming. I was extremely careful when entering it, so I’m not convinced that’s actually the case. After they flagged it, I tried to update the information, but they told me their “security team” has to handle it and contact me directly. My funds are now completely locked, and I have no access to my own money. I’m currently dealing with debt and late fees because of this delay. What makes it worse is that no one clearly informed me upfront that the first payout would take 7–10 days. It’s now been 4 days, and I’m still waiting just to be contacted so this can even begin to get resolved. At this point, I feel completely stuck in their system. This experience has been extremely frustrating and financially damaging. Based on this, I would strongly caution others before relying on them — this does not feel like a platform built to support small businesses. submitted by /u/Ok-Worldliness5481 to r/shopify [link] [comments]

Niche: Sports Dropshipping Store Age: 3 months Total Revenue: $2,677.27 Total Net Profit: $2,514.15 Revenue This Month: $393.70 Included: Suppliers from Sweden and China + Meta Ads account Daily Ad Spend Limit (Meta Ads Account): $1,197.42 Price for the Store + Ad Account + Supplier Contacts: $250 Reason for Selling: I have another Shopify store to manage. Note: The current Shopify plan is already paid for the entire year https://preview.redd.it/ldo4nchfh0pg1.jpg?width=1366&format=pjpg&auto=webp&s=796081b0004dc78f69082080365e36b42d0dcad3 https://preview.redd.it/8epxmehfh0pg1.png?width=704&format=png&auto=webp&s=75075d1aa3345944f828fd66b8c46f711439f24b https://preview.redd.it/dp49u2hfh0pg1.png?width=702&format=png&auto=webp&s=a61b3c86732600d290cd9229af64fdbabb3d3ade submitted by /u/Strange_Belt2941 to r/saasforsale [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]

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]