Conversion rate optimization and store UX
Landing page and PDP teardowns, homepage design, checkout friction, bundles/upsells/AOV tactics, social proof and trust levers.
20%
A curated collection of the sharpest, most-shared X posts about ecommerce—saved so you do not have to dig through the timeline yourself. Updated every two weeks.
Store owners on margins, ad spend, and what actually moved the needle this quarter.
Original Xholic analysis
Across 50 opinion posts from 39 creators, this ecommerce conversation is uniformly positive/supportive in tone and clusters into eight themes, led by CRO and store UX (20%), paid acquisition (16%) and unit economics (16%), then AI/agentic commerce (14%) and cash flow/ops (14%). The top outlier is James Camp's 'originality is overrated' post at 81x the median score of 10.06. One framing caveat: this is not a fresh, quarter-scoped conversation — the median post is roughly 188 days old, only 10% of posts fall within the last 90 days (span 2025-12-02 to 2026-09-26) — so the 'what actually moved the needle' material reads as retrospective operator advice rather than live reporting on a single qu
100% of posts
All-time engagement
100% of posts
Published in 90 days
Conversation map
Landing page and PDP teardowns, homepage design, checkout friction, bundles/upsells/AOV tactics, social proof and trust levers.
20%
Scaling Meta, YouTube/Google Demand Gen, and TikTok ads; creative production and testing; CPM/CPC dynamics; channel-level ROAS and new-visitor dynamics.
16%
Contribution margin vs revenue vanity, MER/CAC, pricing and discount strategy, LTV math, benchmark data across industries.
16%
AI shopping agents and protocols (UCP, agentic storefronts, ChatGPT checkout), AI agents for support/operations, AI-assisted creative and content production.
14%
Cash conversion cycles, supplier payment terms, inventory/supply chain, retail-vs-ecom margin comparisons, post-purchase fulfillment and customer service.
14%
MMM vs MTA debates, incrementality testing, blended metrics, forecasting from cohorts, attribution tooling and partnerships.
8%
Merchant listing optimization, Google Merchant Center feeds, local inventory, informational content for search and AI answers, schema and indexing issues.
8%
Customer lifetime duration as the biggest lever, email/SMS inbox placement, loyalty, subscriptions, retention economics vs conversion tweaks.
4%
Tone and stance
Performance benchmark
Posts with media make up 58% of this collection. Their median all-time score is 9.97, compared with 12.0 for text-only posts.
Format mix
Consensus and debate
Shared view
The most-engaged post in the sample argues the money is in executing better on existing demand rather than inventing anything new (2088702262000386204). A second high performer shortlists only a few needle-movers — new products, creative, landing pages/CRO, retention — and warns that SOPs, spreadsheets, and side projects don't move the needle (2038287704643838246). A third tells 7-9-figure brands to know unit econo m
Shared view
A widely-shared comparison shows a store on the default Dawn theme with iPhone product shots doing $500K/month while a polished custom-theme competitor does $10K/month (2101120767467413841). A brand operator argues the alpha is in the ads, not brand identity, and that the best DTC brands run opex under 8% of revenue (2056176687906431347).
Shared view
The revenue-is-vanity position appears repeatedly: a $5M brand at 35% contribution margin is healthier than a $10M brand at 15% (2039053704926568937), and one operator states more ecommerce brands die from cash flow than bad ads, recommending weekly contribution-margin reviews, Net 60 supplier terms, and 60-90 days of cash reserves before scaling spend (2044824584604750190). A retail-vs-ecom comparison adds that a $4
Open debate
CRO-focused posts present teardown playbooks for homepage, PDP, and cart pages as proven levers for conversion rate, AOV, and revenue per session (1995792428075258333; 2000907814873542804), and bundle-tier pricing is credited with up to +70% AOV on a single product page (2048854739480084921). James Camp pushes back directly, arguing customer lifetime duration dwarfs conversion tweaks: on a $79/mo product with a $134
Open debate
Multiple posts treat AI/agentic shopping as a major opening: India's e-commerce projected to reach $250B by 2030 with agentic AI named a driving force (2041860710628782385), Google's Universal Commerce Protocol updated in March 2026 with cart support and merchant onboarding (2049442091256709478), and Shopify shipping agentic storefronts and in-dashboard agentic-search monitoring (2068347038056452191; 203683913411160
Open debate
An agency operator argues YouTube is the most underleveraged channel in ecommerce, citing across their client book 75%+ new-visitor percentage from YouTube versus roughly 55% for Meta, and recommending blended MER, incrementality tools, and geo holdouts instead of last-click ROAS (2036500913859272925). The same New Visitor Percentage framework is offered as a diagnostic for creative fatigue, spend distribution, and
What performs
Only 5 of 50 posts clear roughly 12x the median: 2088702262000386204 at 815.55 (81.07x), 2033512866092069173 at 241.89 (24.04x), 2037497448617366002 at 168.50 (16.75x), 2038287704643838246 at 133.26 (13.25x), and 2101426197477708191 at 122.41 (12.17x). The typical post earns modest engagement: median 45 likes, 3,114 views, 6 replies, 3 reposts.
Among themes, CRO/conversion-UX posts have the highest median all-time score (15.04), followed by cash flow/finance/ops (13.063) and retention (9.61). Measurement/attribution posts have the lowest theme median (3.95), despite hosting a notable partnership announcement (2049488890038194607).
The five biggest posts are all operator-framework or contrarian-thesis content: an 'originality is overrated' growth story (2088702262000386204), a complete ecommerce brand operations map (2033512866092069173), the Shopify origin/friction story from Tobi Lütke (2037497448617366002), a shortlist of what actually moves the needle (2038287704643838246), and an argument that ecommerce brands trade on cash-flow multiples,
Statistical standouts
Creator landscape
The five most represented creators account for 20% of the selected posts.
1. Aleyda Solis 🕊️
@aleyda
2 posts
2. Brodie Clark
@brodieseo
2 posts
3. Common Thread Collective
@CommnThreadCo
2 posts
4. Alex Fedotoff
@FedotOff90
2 posts
5. James Camp 🛠,🛠
@JamesonCamp
2 posts
6. Nate.Google
@Nate_Google_
2 posts
JamesonCamp shows the highest creator median (412.31) across 2 posts, but it is driven entirely by the single 815.55 post (2088702262000386204); his other post scored 9.1 (2079687796327936467), near the overall median. His reach in this sample reflects one viral post, not consistent performance.
Brodie Clark's two posts carry the second-highest creator median (20.88), covering a +368% YoY merchant-listing traffic case (self-reported) driven by feed optimization, local inventory feeds, and sitemap strategy (2026198172461367389), and a Merchant Center stock-signal conflict diagnosis (2021538417876840687).
Oliver Kenyon's two luxury-brand teardowns (NEST and Catbird) earned a 20.69 median (1995792428075258333; 2000907814873542804), making him the strongest performer within the sample's largest theme.
Since the previous snapshot
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Ecommerce tweets
Ranked 01–50
@JamesonCamp ·
Instagram straight up copied Stories from Snapchat and it became the most used feature on the platform Google was the 18th search engine. Zoom launched into a market Skype had owned for a decade. Shopify didn't invent ecommerce. I grew a hearing aid brand 8x in a market that had existed for literally 100 years. Bought media properties that were already profitable. Never invented a single thing. Originality is overrated. The money is in executing better on something people already want.
@oliverbrocato ·
📂 ECOM BRAND ┃ ┣ 📂 Product ┃ ┣ 📂 Problem / Demand ┃ ┣ 📂 Product Research ┃ ┣ 📂 Supplier Discovery ┃ ┣ 📂 Costing & Margins ┃ ┗ 📂 Differentiation ┃ ┣ 📂 Validation ┃ ┣ 📂 Sample Orders ┃ ┣ 📂 Product Testing ┃ ┣ 📂 Landing Page Test ┃ ┣ 📂 Preorders ┃ ┗ 📂 Demand Validation ┃ ┣ 📂 Branding ┃ ┣ 📂 Brand Positioning (w/ story) ┃ ┣ 📂 Name & Domain ┃ ┣ 📂 Logo & Identity ┃ ┣ 📂 Packaging ┃ ┗ 📂 Brand Assets ┃ ┣ 📂 Product images (nano banana) ┃ ┣ 📂 Product photos ┃ ┣ 📂 Lifestyle shots ┃ ┣ 📂 UGC style images ┃ ┗ 📂 AI avatars holding product ┃ ┣ 📂 Store ┃ ┣ 📂 Shopify Setup ┃ ┣ 📂 Theme ┃ ┣ 📂 Product Pages ┃ ┣ 📂 Checkout ┃ ┗ 📂 Conversion Optimization ┃ ┣ 📂 Supply Chain ┃ ┣ 📂 Manufacturer ┃ ┣ 📂 MOQ Negotiation ┃ ┣ 📂 Quality Control ┃ ┣ 📂 Freight & Shipping ┃ ┗ 📂 Inventory Planning ┃ ┣ 📂 Content ┃ ┣ 📂 Static ads ┃ ┣ 📂 UGC ┃ ┣ 📂 Ad Creatives ┃ ┣ 📂 Hooks & Scripts (Claude) ┃ ┗ 📂 Creative Strategy & Testing ┃ ┣ 📂 Launch ┃ ┣ 📂 Offer ┃ ┣ 📂 Landing Page ┃ ┣ 📂 Creator Seeding ┃ ┣ 📂 Influencer Push ┃ ┗ 📂 First Ad Tests ┃ ┣ 📂 Acquisition ┃ ┣ 📂 Meta Ads ┃ ┣ 📂 TikTok Ads ┃ ┣ 📂 Google Ads ┃ ┣ 📂 Influencer Marketing ┃ ┗ 📂 Affiliate Programs ┃ ┣ 📂 Distribution ┃ ┣ 📂 Shopify ┃ ┣ 📂 Amazon ┃ ┣ 📂 TikTok Shop ┃ ┣ 📂 Retail ┃ ┗ 📂 Marketplaces ┃ ┣ 📂 Conversion ┃ ┣ 📂 PDP Optimization ┃ ┣ 📂 Bundles ┃ ┣ 📂 Upsells ┃ ┣ 📂 AOV Optimization ┃ ┗ 📂 Checkout Flow ┃ ┣ 📂 Revenue ┃ ┣ 📂 One-Time Purchases ┃ ┣ 📂 Subscriptions ┃ ┣ 📂 Bundles ┃ ┣ 📂 Limited Drops ┃ ┗ 📂 Wholesale ┃ ┣ 📂 Analytics ┃ ┣ 📂 ROAS / MER ┃ ┣ 📂 Contribution Margin ┃ ┣ 📂 Blended CAC ┃ ┣ 📂 Inventory Days ┃ ┗ 📂 Profit Dashboard ┃ ┣ 📂 Retention ┃ ┣ 📂 Email Flows ┃ ┣ 📂 SMS ┃ ┣ 📂 Loyalty Programs ┃ ┣ 📂 Reviews & Referrals ┃ ┗ 📂 Repeat Purchase ┃ ┣ 📂 Protection (Bustem) ┃ ┣ 📂 Trademark ┃ ┣ 📂 Brand Registry ┃ ┣ 📂 Copycat Monitoring ┃ ┣ 📂 Counterfeit Removal ┃ ┗ 📂 Brand Enforcement ┃ ┣ 📂 Growth ┃ ┣ 📂 New Creatives ┃ ┣ 📂 New Distribution Channels ┃ ┣ 📂 Product Line Expansion ┃ ┣ 📂 Partnerships ┃ ┗ 📂 International Markets ┃ ┗ 📂 Scaling ┣ 📂 Hiring ┣ 📂 Automation ┣ 📂 Systems ┣ 📂 Retail Expansion ┗ 📂 Exit Strategy
@StartupArchive_ ·
Tobi Lutke explains what the VCs who passed on Shopify got wrong Tobi recounts pitching Shopify to VCs on Sand Hill Road a few years after founding Shopify. Investors passed because they thought the addressable market was too small. At the time, there were about 40,000-50,000 online stores, and even if Shopify captured 50% of the market, that still wouldn’t be a venture-scale business. When Tobi ran into the VC partner a few years ago, the partner asked Tobi what he missed (Shopify is valued at almost $100 billion today). Tobi explained: “You were actually correct, but what you didn’t realize was that Shopify was the solution to the very problem you identified. The reason there was only 40,000 online stores was because it was hard, expensive, and everyone who tried ran into all these brick walls of complexity, which Shopify, one after another, smoothed over and made simple to do.” Tobi believes this is a common mistake: “What a lot of free-market thinkers don’t understand is that between the demand and eventual supply lies friction. And I actually think that friction is probably the most potent force for shaping the planet that people just generally do not acknowledge… That was my theory when I turned my snowboard store into Shopify: there was a lot more people like me except there was too much friction which we needed to solve. And Shopify has proven out that every time we make the process simpler, there’s more consumption. At this point, we have a million merchants on Shopify, which is a mind-blowing number. So friction is a major component, and it’s something that software is uniquely good at reducing.” Video source: @danmartell (2019)
@jforjacob ·
There are only a very select few things that move the needle in ecommerce and you are likely spending most of your time doing stuff that in the grand scheme of things does not matter Things that matter and will put more money in your bank account: New products Creative Landing Pages / CRO Retention If you are spending any of your time outside of these areas, seriously audit your life Perfecting SOP's, creating fancy spreadsheets, vibe coding apps with AI etc do not move the needle Of course once you are at scale things like contingency planning, asset protection and general securityu activities become more important But get money first and then worry about everything else There is no point "optimising" when the cost of doing so is greater than the sum of your worth
@Seanfrank ·
A convo with @RomanEcom changed my life. We both have dedicated a decade to building ecommerce brands. And we both succeeded. We own top 1% brands by any metric- revenue, profit, growth. But those brands are basically worthless. Let me explain: Ridge is an amazing business. Multi 9 figures in revenue. I’ll even grow 9 figures this year. But if I take my foot off the gas, revenue will fall 70%. We are an acquisition machine. We lack network effects. A wallet sold today does not guarantee a wallet sold tomorrow, this year, or next year. If anything, at scale, the more wallets you sell the harder the next wallet is to sell. I’ve out executed everyone. Built a 1% brand And we will trade on a multiple of earnings, like a car wash or a storage unit lol A generational brand, one that could last 50 years, and the multiple will be the same as your local HVAC roll up. These businesses need to be built for cashflow. That’s how they are sold, that’s how you will be rewarded for running them. If you want revenue, there are publically traded brands, great brands, like gap, trading for a fraction of annual revenue. If you want to sell something- It needs compounding network effects. Where a customer added helps get the next customer. Where a signed deal will bring more signed deals. Where the more you add, the better the margin gets. Build in Ecom for fun, for cash, to learn. But for the big swing, you need a network effect.
@goyalshaliniuk ·
Ever wondered what happens after you click “Checkout”? Let me try to explain the core building blocks of an E-Commerce Architecture. Here’s a breakdown of the journey of an online order using a microservices-based architecture - where each step, from cart to shipping, is handled by an independent service. The process kicks off when a customer places an order, which is managed by the Shopping Cart microservice via a REST API. The order then flows into the Order Placement service, which records and broadcasts the order details through an event stream. Next, the Inventory service checks stock levels and interacts with the Supplier backorder system if needed. The Payment microservice integrates with third-party providers (via SOAP or REST) to process payments securely. Once payment is confirmed, the Shipping service prepares the consignment, updates order status, and notifies the Operations team for dispatch. Meanwhile, reporting tools consume order and inventory events and store them in an OLAP database for analytics and dashboards. Don’t forget to save this for later !
@nicktheriot_ ·
Ecom guy A: - Custom Shopify theme - Studio product photography - Landing page with custom animations - TOF, MOF, BOF ads Revenue: $10K/month Ecom guy B: - Default Dawn theme - iPhone shots on his kitchen counter - Landing page: hero image, price, buy button - Native ads with weird af images Revenue: $500K/month Many such cases
@Seanfrank ·
What makes for a good DTC brand is ruined when you introduce excess capital. - ruthless cost cutting in opex The best brands are running sub 8% now - fanatical obsession with acquiring customers profitably Every single great brand has a bigger marketing department than any other department The alpha isn’t in color or brand or logo, it’s in the ads - fast reaction and pivots Supplier fucks you? Shipment delayed? Facebook stops working? Bank goes down? The best brands solve it in hours, days- not weeks. — Too much money ruins all of this. They had dtc brands spending 25% of revenue on people… AND NOT EVEN FUCKING MANUFACTURING THEIR OWN STUFF OR RUNNING A WAREHOUSE 25% of revenue going to office staff? Too much money lets you sit and wait it out… but what if it isn’t a storm, what if it is a new normal. So many brands just stopped spending on ads in 2021 and just.. never started again. Didn’t even try to learn the new game. VC has a great place in this world. Build the rockets, the B2b saas, the data centers. But Shopify armed the rebels. And rebels need to act like it. Small, nimble, aggressive. More money isn’t the solution. Better ads are.
@SahilPanhotra ·
Meet Tobi Lütke → Dropped out of high school at 16 → Started working as a programmer instead → Moved from Germany to Canada in 2002 → Wanted to sell snowboards online → Existing ecommerce software was terrible → Couldn't find a platform he liked → Built his own ecommerce software → Launched an online snowboard store called Snowdevil → Other founders wanted the software more than the snowboards → Shut down the snowboard business → Turned the software into Shopify in 2006 → Bootstrapped the company in its early years → Took Shopify public in 2015 → Today, Shopify powers millions of businesses worldwide → Merchants have sold over $1 trillion worth of products through Shopify → Shopify is now worth over $150B Imagine if the snowboard store had worked Shopify would've never existed

@brodieseo ·
Ecommerce SEO: here's how we increased merchant listing traffic for my client by 368% YoY. For this client, the uplift YoY compared to 2024 was so significant that it made 2025 a challenge to outperform... but we managed to do it anyway. Here are 5 strategies we employed to achieve consistent results for non-branded queries (all with a similar number of products): 1. Increasing unique product description rollout speed We have now incorporated AI more heavily into our product description creation process in a sustainable way by leveraging various spreadsheets for data points. It was previously impossible to do this at scale in a helpful way for users when managing thousands of products. 2. Optimising feed titles & attributes as query volume changes Don't ignore the power behind feed title formatting and keyword optimisation. It can go a long way, especially if you are missing out on core terms that have considerable volume behind them, which can add up when spanning across entire product ranges. The same goes for feed attributes more broadly, which we've had some success with. 3. Rolling out a local inventory feed for increased SERP market share Truth be told, getting the local inventory feed operating correctly has been a major contributor. It has allowed us to rank more prominently in both the Popular Products grid and the In Store Nearby grid, which frequently show on page 1 of Google. The key here is getting it to "operate correctly", which can come with some challenges due to the complexity of the supplementary feed integration and nationwide inventory management. 4. Consistently maintaining the Top Quality Store badge You need to be so good across all metrics that you're well above the threshold among the "Great" to "Exceptional" categorisation. This has been a goal for some time now, and we have been able to ensure that the badge has consistently shown for almost a year, with my client now being on par with their closest competitors. 5. Ensuring cleaner product range transitions with XML sitemaps Another very underrated principle of free listing results. If your stock is frequently changing and you don't have a rock-solid PDP sitemap strategy, then you're often going to delay the impact of free listings due to discoverability issues. Yes, your product feeds are important, but the structured data and content on your PDPs need to first be indexed in the traditional sense in order to break through. Why wouldn't you focus on free listings? These features allow you to capture more non-branded traffic for highly competitive queries, they allow your products to become more visible, and they often have at least double the conversion rate of standard organic traffic.

@malisauskasLT ·
The best thing you could do as a Shopify app developer is start your own store. Not a test store, a real one. For the past three months I've been running my football club's merchandising. I got to experience everything first-hand. Switching to Shopify, choosing and modifying a theme. Creating products, structuring navigation, setting up payments & shipping. Trying some of the best Shopify apps, appreciating nice UX things (and getting lots of ideas). Of course I used my own apps heavily and noticed things that could be improved. But the best thing was seeing my apps actually generating real value for my store. 💸

@devXritesh ·
How AI agents actually help in e-commerce? A chatbot that answers “Where is my order?” is not an agent. An agent can look up the order, check inventory, apply a policy, and take the next step. Let's see where agents are useful: 1. Customer support that can act Not just “your order is on the way.” The agent can: - Fetch order status - Start a return - Apply an eligible refund - Escalate only when policy is unclear The value is action, not more replies. 2. Product discovery - Users don’t always know the exact product name. - An agent can ask 2-3 questions, filter catalog data, and recommend from real inventory. - This works only if it reads live stock, price, and delivery ETA. 3. Cart recovery and personal shopping Abandoned cart messages are usually dumb. An agent can check why the user dropped off: - Price too high - Size missing - Delivery too slow Then it can offer the right next step, not a generic coupon. 4. Operations behind the store Good internal agents help with: - Catalog cleanup - Fraud review - Return reason clustering - Seller onboarding checks - Warehouse exception handling This is often more valuable than a flashy storefront chatbot. 5. The system design matters more than the model An e-commerce agent needs: - Tools for orders, inventory, payments, and tickets - Strict permissions - Idempotent actions - Audit logs - Human approval for refunds and cancellations If the agent can charge, refund, or change an address with no guardrails, it is a production incident waiting to happen. 6. Don’t let the agent invent policy - Return windows, COD rules, warehouse cutoffs, and coupon limits should come from systems, not from the model’s memory. - The agent should execute policy, not guess it. 7. Start with one high-volume workflow Best first use cases: - Order tracking - Return eligibility - Size/fit questions with catalog data - “Do you have this in stock near me?” Don’t start with a free-roaming agent that can do everything. In e-commerce, an agent is useful when it reduces tickets, increases conversion, or speeds up operations. It is useless when it only sounds helpful. Would you trust an agent to process refunds in your store, or only to answer questions?
@oliverkenyon ·
Luxury brand. Non-luxury UX. NEST has incredible products and world-class brand equity but their site is missing core persuasion levers 👇 Here’s how I’d optimize their store after 12+ years improving 3,500+ ecommerce brands: 1/ Homepage Above-The-Fold → Clear, high-contrast reassurance bar (“FREE Shipping for orders over $125”) → Added trust icons for credibility (Easy Return, Super Fast Delivery, Quality You Trust) → Stronger navigation shortcuts (Candles, Perfumes, Diffusers, Bath & Body, Gifts) → Added review score (4.7/5 by 3,000+ customers) for instant social proof → Benefit-driven headline: Where Luxury Meets Every Moment → Supporting bullets: Iconic scents, Everyday luxury, Elegant gifts → Strong CTA shift from generic to Shop Bestsellers → Introduced visual scroller for browsing key products 2/ Product Page Enhancements → Reassurance bar added at the top for consistency → Quality indicators added under header (Easy Return, Fast Delivery, Quality Guarantee) → Clean, spacious product gallery with directional cues → Social proof surfaced under product name (4.7/5 by 140+ customers) → Clear pricing hierarchy with sale callout (“Save 20%”) → Bullet-point benefits: Seasonal fragrance, Clean & cruelty-free, Reusable glass holder → Strong, anchored Add to Bag CTA → Trust badges added under CTA (Cruelty-Free & Vegan, No Toxic Chemicals, Lead-Free Clean Burn) 3/ Cart Page Transformation → Reinforced free shipping bar to increase AOV → Progress bar toward free shipping to drive additional spend → Gift wrapping callout moved into high-visibility section → Strong cross-sells with clear “Add” buttons and ratings → Savings broken out visually → Cleaner subtotal and tax messaging → Higher-contrast checkout CTA → Payment icons added for trust and friction reduction These are proven CRO playbooks and even without a full redesign, changes like these routinely unlock meaningful lifts in conversion rate, AOV, and revenue per session. Follow @oliverkenyon for more landing page & DTC tips.



@conortrains ·
This ecom stuff feels like GTA where you’re building up your resources to get fancier things and advance up the ranks - First you scrap your way to the first 1k days and 10k profit any way you can - Then you get smart and take a chance on some UGC ($200 per concept really stings at this stage) - Then you start to hit some bigger numbers and get bigger POs and ad budgets - Eventually you know what works for you better and build up to being able to risk a retainer and rev share with @aaronmtrx and @harrydelmege_ to take it to the next level - You then start dialling in LTV and unit economics to kill off competition - When you’re ripping you go and start another brand, and go right back to the beginning to live it all again Just you and your Shopify store against the world anon 🫡

@daviefogarty ·
ChatGPT + Claude has levelled the playing field between year 10 and year 0 brands with their creative strategies. Every new technological shift creates a window where experience matters less than execution speed. AI is that ‘window’ right now - and the reason it's still wide open is the friction in it. Things are confusing, things are going to break. That friction is your opportunity to create value that's not being created in this world and make a lot of money from it. When I look at where AI should be used in e-commerce, I use a few criteria: > I look at volume. It handles it very well. > Then I look at value. How much will it actually improve things? > Then I look at variability. If the situation is unpredictable, you need human input. > Then I look at verifiability. AI can hallucinate, so you need to make sure what it outputs is actually accurate. The reason AI is so good for e-commerce is that you can build 10 advertorials in a day with AI, and volume negates luck. Here’s how I’d start leveraging AI with creatives ASAP: 1. Download all your customer reviews, your competitors' reviews, and your top advertorials, then feed them into ChatGPT. 2. Run deep research and create everything you need to know about your customer. 3. Put that customer doc into Claude and give it the structure of the advertorial you want to write with a proper prompt. 4. Break it up and baby it through each step, because AI doesn't handle large blobs of data well. Give it 12 angles first, select the best ones, then prompt it with questions about what you know about your customer. From there, you'll start to get a lot more winners. 90% of people will use AI to do tasks. The 10% who win will use AI to direct outcomes. AI doesn't replace your best creative yet, but it makes everything around it significantly stronger.
@oliverkenyon ·
Luxury pricing demands luxury persuasion. @catbirdnyc jewellery is beautiful but their UX wasn’t doing the product justice 👇 Here’s how I’d optimize their experience after 12+ years improving 3,500+ ecommerce brands: 1/ Homepage Above-The-Fold → Introduced a high-urgency sale bar with real-time countdown → Added reassurance icons (Solid Gold Always, Free Shipping) → Replaced sale-heavy messaging with an emotional, brand-led headline: Jewelry That Knows Your Heart → Benefit-led subcopy connecting product to meaning, memory, and story → Strong primary CTA: Shop Bestsellers → Social proof surfaced early (Rated 5/5 by 28,000 happy customers) → Clear category shortcuts for faster browsing 2/ Product Page Enhancements → Sale urgency reinforced at the very top → Trust bar added (Solid Gold Always, Free Shipping) → Social proof brought above the fold (5/5 from 28,000 customers) → Clear savings callout with strike-through pricing → Benefit-driven bullets (timeless, recycled gold, built to last) → Simplified option selection with clearer hierarchy → Reduced visual noise around size and metal selection 3/ Cart Page Transformation → Strong urgency banner carried into cart experience → Clear pricing comparison with savings highlighted → Added reassurance message: ready to ship, gift-wrapped for holidays → Introduced relevant cross-sells with ratings and “Add” buttons → Savings surfaced clearly (“You Saved”) → Cleaner subtotal section → High-contrast checkout CTA → Payment icons added to reduce checkout friction These aren’t cosmetic tweaks, they’re proven CRO levers. When you’re asking someone to spend $2,000+, clarity, confidence, and urgency matter more than aesthetics. Follow @oliverkenyon for more landing page & DTC teardown insights.



@Molson_Hart ·
This is going to sound dumb, but retail margins blow my mind. I'm so accustomed to selling a $20 item and eeking out a $4 or $5 profit (if we're lucky) after all the costs associated with ecommerce. We recently had the opportunity to sell our products at full retail prices in-person and I was just floored by how much more money we were making per unit. A sale at full retail price in person was 3.5x the profit as the same product sold via ecommerce. If you can get high throughput on a retail store or a reasonable rent, the profit generation is amazing. The ecommerce mind cannot comprehend it.
@brodieseo ·
Ecommerce SEO: this online store was experiencing "out of stock" products at scale, but the products were actually in stock. This issue had a far-reaching impact on SEO, considering the product pages were no longer ranking highly and organic shopping results were nonexistent. On-page signals, such as the product page content and the schema markup (including extensive information on product variants), all said the product was in stock. So what was the issue? It turned out that even though the item was being reflected correctly on the various on-page levels, there were conflicting signals being communicated at the feed level within Merchant Center. Within GMC Next, the online product was showing as "in stock", yet every physical store location (implemented through a local inventory feed) had the item as "out of stock". This was primarily due to the specific item being a "made-to-order" one, where the local inventory component wasn't being managed correctly from an automation standpoint. The result of this conflict was that Google was seeing that the product was apparently in stock online, but none of the stores were offering it across the entire country. So Google's automated systems deemed it to be 'out of stock' at scale, so they were essentially excluding it from being able to rank in search results... Thankfully, the solution was simple, where all we needed to do was fill out the inventory at the local level for these items (because it made sense to do so), and we were able to get them showing as "in stock" and ranking across the various surfaces once again – resulting in more traffic and revenue.


@RapiHodler ·
A basic black pant you can find anywhere. EluroCo. Just a men's stretch pant. Nothing revolutionary about it. Hit AliExpress, you'll find the exact same one for 6 dollars. Amazon, 19. It's everywhere. They sell it at 39.99. And it's printing. I looked at their page in detail. Here's what changes everything. A clean bundle structure. 1 pant. 2 pants at -15%. 3 pants at -20%. 4 pants at -25%. With "Most Popular" locked on 2 pants. A visitor who grabs 2 instead of 1 = +70% AOV. A visitor who goes for 4 = 120 dollars instead of 40. Same product. Same ad. Same traffic. But the AOV doubles or triples depending on the buyer. That's exactly why they're running with only 47 live ads and already pulling 12K monthly visits in 3 months. The product is not the moat. The product has never been the moat on Shopify. What separates a struggling seller from a scaling one is what happens between the ad click and the checkout. Visible tiers. Pre-selection. Progressive discounts. It's not sexy. But it's what keeps stores alive.

@FedotOff90 ·
More ecom brands die from cash flow than bad ads. I've watched operators with 3x MER and 40% contribution margins nearly go bankrupt. Sounds impossible until you understand cash conversion cycles. You spend $500k on Meta in March. Meta charges you in real time. 1-5% of customers dispute, refund, or chargeback over 60 days. Shopify holds funds 3-5 business days. Supplier needs payment in 30 days. You're cash negative for 30-60 days on every dollar spent even when the business is profitable on paper. At $30k/day ad spend that gap can kill you. Three things the operators printing at $50-100k/day do differently: They negotiate Net 60 minimum with suppliers. If your supplier won't give terms find one who will. They run contribution margin analysis weekly not monthly. You need to know within 7 days if a scaling push is working or bleeding. They keep 60-90 days of operating expenses in cash reserves before scaling aggressively. Not revenue. Not projected profit. Cash. I almost learned this the hard way early on. The unsexy truth is your finance stack matters more than your ad stack once you pass $1M/month.
@CodeByPoonam ·
🚨BREAKING: Agentic Commerce is the next big thing. I heard it straight from Google. Here's what it means for you. I attended Google x Deloitte Think Commerce 2026 in Bengaluru. The report they dropped? India's e-commerce is heading to $250 BILLION by 2030. Here's everything that matters 👇 India's e-commerce right now: ↳ $90B today → $250B by 2030 ↳ 150 million NEW shoppers entering digital economy ↳ Online is still only ~7% of total retail The 4 forces driving the next $100B: 1. Inspired Commerce → Creators will influence 30% of ALL retail spend by 2030 → 1 in 10 purchases directly from a creator storefront → Live commerce hitting $7-8B 2. Intelligent Commerce (Agentic AI) → Google's AI Mode queries are 3X longer than traditional search → AI anticipates what you want before you search → Completes purchases instantly, with your permission 3. Instant Commerce → Quick commerce scaling to $50B powerhouse → Shopper base doubling to 70M users → Non-food categories (beauty, fashion, electronics) = 45% of spend 4. Immersive Commerce → 1 in 3 Indian shoppers now prefer virtual try-on → 89% want a single cart that follows them phone → store → 72% will pay a premium for tech-enabled expertise And Gen Z? → 220 million strong. → Commanding 45% of all online spend. The brands that win won't just sell products. They'll be the ones an AI agent recommends at the right moment. India's commerce isn't just growing. It's being completely rewired.




@jackdoesecom ·
I'll never understand doomer takes on ecommerce. "I would never start a @Shopify store in {insert year}" "You're not profitable until you hit X" "You have to launch thousands of ads" (way too sweaty) My favorite one is "The economy" It's all so noisy and honestly such a bad vibe (sorry if you're a bad vibe) My store is coming up on 2 years old and just passed $1m net. And I'm not trying that hard. I'm paying attention to other things. This is everything that we're doing. My VA sends email & sms with Shopify messaging Nearly all my ad spend is on catalog ads and I have 6 paid apps @Marpipe_HQ by @danpantelo @aftersell by @varkundra @KnoCommerce by @JeremiahPrummer @VideoWiseHQ by @claudiucioba @tapcart, I don't know who made tapcart. and @AliaPopups by @iamshaanarora and @corylgill What else... We just got @memelordtech by @iamjasonlevin for $20 a month and it's rad, so we're going to try launching meme ads and we're tracking our competitors with @foreplay_co If you have an idea for a physical product that people might like, Shopify has made it pretty easy. Don't let the doomers stop you.

@RapiHodler ·
you don't need $1000 to start an e-commerce brand. You need $1 and a weekend. Here's the exact stack I'd use starting from zero today: Shopify = store ($1/month first 3 months) Free theme = ($0 Dawn works fine) Klaviyo = email marketing (free up to 500 contacts) Rapi (recommended) = Bundles & upsells (free until you hit $100/mo revenue) Parcel Panel = Tracking (free plan covers early volume) Judge = Reviews (free plan is genuinely enough) PostHog = Analytics (free up to 1M events/month) Alibaba = Sourcing (find your product, MOQ as low as 50 units) CapCut = Content (free) Canva = creatives (free to start) Month 1 cost: $1 for Shopify. That's it. You have no excuse left.
@hasantoxr ·
The ICICI Securities report puts Indian e-commerce on track to nearly triple by 2030, but the more useful read is which part of that growth is genuinely up for grabs. High-ASP categories like smartphones, appliances and electronics, where household penetration is still under 50%, are where most of the expansion will likely sit. Flipkart holds 63-64% share there today, which puts it in as good a position as anyone to capture a meaningful share of what comes next.

@ecomchasedimond ·
Most ecommerce brands are still optimizing email for a version of the inbox that stopped existing a few years ago. Here are 5 inbox placement rules you need to know: → Stop treating the Promotions tab like a penalty box → Stop trusting your open rate after Apple's privacy changes → Check placement separately for Gmail and Apple Mail → Sunset unengaged subscribers to protect placement for the whole list → Account for the attribution data Apple now strips from your links

@Nate_Google_ ·
$11.7 million spent on youtube ads for a single ecom brand in the last 12 months. projecting $25 million this year $0.99 average CPC 2.6 billion impressions 11.8 million clicks all through Demand Gen (Youtube) campaigns look at that spend curve we started under $5K/day and scaled to over $150K/day in spend here's why most brands will never do this: they tested youtube once, ran some skippable in-stream ads with a repurposed meta creative, saw a bad CPA in their google ads dashboard after 2 weeks, and decided "youtube doesn't work for us" that's like test driving a car in first gear and deciding the engine is broken what actually makes youtube work at this scale: the creative can be very different from meta. cold audience creative needs to be 45-90 seconds, tell a story, and hook in the first 5 seconds. you can't just resize a meta UGC clip and expect results measurement has to change. if you're judging youtube on last-click ROAS in google ads you'll lose every time. youtube drives new customers that convert later through branded search, direct, and organic. we use blended MER, Google only LPs, Incrementality tools like WorkMagic and Northbeam, and geo holdout tests to measure true incrementality the new visitor percentage is the number nobody talks about. across our entire book of business, youtube drives 75%+ new visitors vs meta at 55% - at scale, on average. that means youtube is finding people who have never heard of your brand at a better iROAS than meta Demand Gen is the campaign type. not skippable in-stream. not video action campaigns. Demand Gen with the right targeting. most brands put too much on retargeting and wonder why they can't scale... we're averaging around 70% of an account's budget on Youtube Ads at scale and 30% on Search, Shopping, P MAX we manage $200M+/year in google and youtube ad spend the brands doing $100K+/day almost always have youtube as their biggest growth lever. their competitors aren't running it, or they tested it once and gave up this is the most underleveraged channel in ecommerce in 2026 the data is sitting right here

@orenmeetsworld ·
Shopify’s latest Edition has SO MANY new features for ecommerce operators, here's the highlights: - native A/B testing on theme and checkout - @Shopify is building the data layer for your products to be sold with AI - Shop Campaigns can now be run in ChatGPT - in-dashboard monitoring of how and when products show up in agentic search - Markets got a visualization redesign... and this is just scratching the surface. See all the updates, in my profile.
@semrush ·
Google released a major update to the Universal Commerce Protocol (UCP) in March 2026. UCP is an open standard that enables AI agents to communicate with ecommerce platforms and complete purchases on behalf of users. For example, when a user asks Gemini, “Find the best running shoes under $100,” the AI agent can run a search, browse products across retailers, and present relevant options. With user approval, it can then complete the purchase – all enabled by UCP. The March 2026 update introduces new capabilities, including cart support and access to product catalogs. Google has also simplified onboarding through Merchant Center to attract more retailers. UCP-powered checkout is currently available to eligible U.S.-based merchants, with global expansion planned throughout 2026. Here's how to prepare your business now: https://t.co/NI1rDr06I6.

@JamesonCamp ·
Everybody is trying to squeeze another 2% out of their landing page. Meanwhile the biggest lever in any business is how long your customers stay. I learned this early in ecommerce. Now I'm seeing it again in software. It's true everywhere. Look at a $79/mo product with a $134 CAC: 2 months retained = $158 LTV = 1.2x return (you're dying) 6 months = $474 LTV = 3.5x (healthy) 12 months = $948 LTV = 7x (great) 24 months = $1,896 LTV = 14x (you can afford to acquire customers almost any way you want) The only variable is how long they stay. A 2% conversion rate bump looks cute next to doubling retention.
@rokhladnik ·
The last 3 weeks on Meta have been brutal, but there’s a very interesting split across our portfolio. Most e-commerce and subscription brands that ran strong Labor Day offers absolutely crushed it. Some broke records. We saw 30% plus year-over-year growth, even across 9-figure brands. Then you have brands without a strong offer or commercial calendar. Completely different story. CPMs spiked hard, in some cases nearly doubling in 3 weeks. CTR looks relatively stable, but with higher CPMs, CPCs are way up, and traffic quality feels questionable. The part I find most interesting? We’re seeing similar pressure in B2B lead gen. That’s unusual. When e-commerce, subscription, and B2B all act weird at the same time, I start wondering if this is bigger than seasonality. My guess? Meta is making meaningful delivery changes in the backend. Good morning team ☕
@BigBrainBizness ·
Vice Chairman of Ogilvy UK Rory Sutherland on the fatal flaw in most e-commerce businesses: the experience after you click "buy" is a world of pain. Rory has spent decades at Ogilvy studying what actually drives customer behaviour. When asked for advice on launching a new apparel brand, his answer was about what happens after the sale. He explains that marketers spend too much energy adding positives when the real opportunity is removing negatives: "What seems to happen in most e-commerce is you have what you might call the sales area, which is everything that happens up to and including a point of purchase. And everything there is glorious and attractive and slick. What then happens is if something goes wrong with your experience, either the delivery of the experience or you need to cancel something, as soon as you deviate from that very narrowly preconceived purchase funnel, you enter a world of pain." The handover is where it breaks. Once the customer clicks buy, responsibility shifts to teams whose metrics have nothing to do with customer satisfaction: "Their metrics are cost reduction. How can we make sure that nobody phones us up? How can we make sure that every phone call is as brief as is feasibly possible. And how can we minimize the cost of delivery and distribution?" Rory's two specific fixes are the kind of thing most operators would never consider: First, let customers choose their delivery courier. Most companies funnel everything through a single carrier to maximise volume rebates. @rorysutherland thinks that's a mistake: "If you don't get to choose how your item's delivered, if anything goes wrong, you blame the company. You don't blame the delivery company or yourself. If I'd chosen to have it delivered by Royal Mail and it went missing, I blame Royal Mail." He adds that local courier quality varies wildly by postcode, and forcing customers into one option ignores that reality. Second, stop hiding your phone number. He calls the standard practice of burying contact details a way of treating anyone with a problem "like a second class citizen." The summary line is the one every e-commerce founder should put on their wall: "When it goes well, it's miraculously good. But the second anything out of the ordinary happens, you enter a world of pain. And I think that is a fundamental failing."
@TaylorHoliday ·
Announcing the most unexpected partnership you could imagine... @CommnThreadCo x @northbeam are joining forces. 6 years ago @MAustinHarrison approached me with the email in the attached image. It was a deal for Northbeam to takeover Statlas and become the embedded software product inside of CTC. At the time I didn't believe that attribution was the right path for us to pursue. Probably cost me tens of millions of dollars... Needless to say Northbeam has gone on to become a staple in the eCommerce industry. Trusted by thousands of merchants to guide their media decision making. I have had very public issues with MTA products, including Northbeam, over the years and I still do... BUT I have also watched them evolve their product into so much more. That movement has been in directions that I agree with and have shared vision around. Things like: Aligning optimization with attribution by passing data back to meta. First party tracking of customer identity to support in identify resolution for your acquisition Visibility of media impact beyond 7/28 days and now incrementality testing. All pieces of measurement that CTC believes are important to building a system of progressive truth. As our ideologies have converged our business models have moved in different directions. This is where the opportunity for partnership emerged. Northbeam has chosen, thoughtfully, to move up market where media complexity and dollar values allow for larger investments in measurement systems. That pursuit of the enterprise and pricing strategy left many 7 figure store owners without access to their technology. Meanwhile, CTC is actively engaged in figuring out how to bring enterprise level sophistication to the SMB market. Given our position as a service provider it allows us to provide the high level of care needed to deploy these tools to 7 figure store owners. With all this in context I am excited to announce that CTC is the EXCLUSIVE PROVIDER of Northbeam technology to 7 figure store owners. It will be included as part of our Global Accelerator program (Prophit Engine - 7) going forward. Stores as this level of revenue/spend often are too early to deploy incrementality testing in a way that would give them definitive results in reasonable timelines. So, to help our customers get the best possible POV on their media we will now be ingesting and displaying Northbeam data directly inside of Statlas. Enriching our data and presentation of impact to our customers. While this may not lead to the same personal financial riches as that equity offer all those years ago, I do believe it has the same potential to make a positive impact for the community. If you are a 7 figure store owner who has been interested in trying the product before, reach out and we can take you through how the partnership will work! Excited to share more about the partnership in the coming days and weeks.

@abdul_quadir_a ·
Working on an interesting ecommerce setup today: → @webflow frontend → @Shopify backend No apps. No @shopyflow Everything via custom APIs Handling products, cart, checkout, and syncing data cleanly This goes beyond static sites. It’s about making systems work together.

@neilpatel ·
Jared Spool audited a major retailer and found one thing killing conversions. Not pricing. Not shipping. A register button. 160,000 password reset requests a day. Customers leaving because they couldn't remember which account they'd used. They swapped it for one word. Continue. Sales went up 45% in month one. The problem was never the customer. It was a door nobody thought to remove. What friction are you still asking people to push through? #Ecommerce #UXDesign #ConversionOptimization #DigitalMarketing
Watch video@aleyda ·
💰 Ecommerce: Stop overlooking informational content investment, especially now with AI platforms. This is content that should be used not only for a comprehensive “learn” or “inspirational” section, with tips written by real experts and based on experience. This is particularly important for ecommerce sites because: * It establishes real topical authority in your vertical, which has been shown to play a more important role in search results in recent years. This type of content also tends to get shared and naturally attract backlinks and citations, establishing authority not only for traditional search results but also for AI answers. * With AI platforms, you’re optimizing for comprehensive, well-structured content that AI can flexibly extract from any accessible page rather than relying on rigid query-to-page matching, so this information can be surfaced at any stage of the customer journey. * Finally, this content can be reused to enhance and enrich your PDP and PLP content for better rankings, inclusion, and visibility. It's interesting to see the important role that the blogs/learn/inspiration section plays in AI traffic across many ecommerce that invest in informational content: Chewy, Gymshark, REI (much easier now with @Similarweb folder view in the AI traffic report, btw, completely spontaneous and free shout-out). So if you haven't prioritized it in your ecommerce 2026 investment, do it now 🙌

@Nate_Google_ ·
i have ONE METRIC that would help fix 99% of failing ecommerce brands NVP -> New Visitor Percentage it's important to understand where most of your NEW customers are coming from and also what the current difference is between all of your marketing channels. this can help understand: 1. Creative Fatigue 2. Spend Distribution 3. Incrementality etc. etc. etc. we recently had a brand that came to us and mentioned that they haven't been able to push their NVP % above 50% at scale on Meta Youtube was at a 75% NVP, so we shifted marketing budget over to Google and now they're able to scale Meta up further because we're driving even more NEW customer traffic through Google another scenario... we had a brand that was wondering why the past couple weeks have been pretty bad for them their Meta NVP % was at 55%, and therefore they went and dug deep into their creatives to see what was going on after further analyzing, they had a hunch that they were putting too many discounts in their ads, so they launched a new batch of ads with their strongest marketing angle, no discount 75%+ New Visitor Percentage right out of the gate the greater that your new visitor percentage is, and the lower your cost per new visitor is at scale, will allow you to scale much greater than keeping it around 50%-60% your email marketing will have a great impact, you'll convert more organically, retargeting will be more effective, the list goes on MAKE SURE to look at NVP

@neilpatel ·
Here's the mistake almost every brand makes. They get serious about TikTok Shop, open the catalog, and pick the highest-margin products. Sounds smart. It's backwards. The volume lives lower than you'd think: 44% of sales fall between $5 and $15, another 37% between $16 and $30. Price above $50 and you're competing for a sliver of demand. Your margins don't set the rules here. The platform does. #TikTokShop #Ecommerce #SocialCommerce #OnlineSelling
Watch video@prakdadlani ·
You don't realise the scale of e-commerce in India. Indian ecommerce continues to grow fast, but user growth is getting increasingly concentrated. According to CLSA’s latest tracker, Flipkart alone added 26.8M weekly active users YTD. The rest of the ecommerce ecosystem combined added 10.6M. Scale in internet businesses compounds hard once distribution starts pulling away. Worth watching how the gap evolves over the next few quarters.


@aleyda ·
📣 Shopify has announced that starting this week, millions of merchants can sell to ChatGPT users via Agentic Storefronts 👇 Agentic storefronts are active by default for eligible stores, and stores can manage channel permissions and setup in the Settings > Sales channels section of Shopify admin. If checkout is activated for an agentic storefront, then customers can purchase products directly in the AI channel without having to leave their conversation. "Products stay synchronized across surfaces, with real-time inventory and pricing. There’s no need to build separate apps or manage fragmented feeds—brands are syndicated and shoppable, while still owning the purchase journey through their online store." Interesting that this integration is announced right after Walmart said conversion rates for purchases made directly inside ChatGPT were three times lower than when users clicked through to its website after testing 200,000 items 🤔 "Daniel Danker, Walmart’s EVP of product and design, said those in-chat purchases converted at one-third the rate of click-out transactions. He called the experience “unsatisfying” and confirmed Walmart is moving away from it... This suggests agentic commerce isn’t ready to replace traditional shopping. Sending users to owned environments still drives higher conversion rates" See the announcement: https://t.co/iasIp98Jjb as well as Walmart test coverage: https://t.co/SnyyjO9Qth

@kzitouni1 ·
The 7 highest ROI habits if you're building a Shopify store: - talk to a customer - check your heatmaps - review your active tests - look at revenue per visitor, not just CVR - review a losing test before you archive it - gym (non-negotiable) - know what you're testing next week before this week ends - do nothing if the data says do nothing Compounding effects are insane.
@aryehMaxx ·
Here’s the median ROAS from 15 different industries over the last 90 days: Apparel & Accessories: 2.1x Health & Beauty: 1.6x Home & Garden: 1.8x Food & Beverage: 2.0x Sports & Outdoors: 1.8x Toys, Art & Collectibles: 1.8x Consumer Electronics: 1.6x Pets & Animals: 1.7x Baby: 1.9x Automotive: 2.2x Media & Publishing: 1.2x Books & Music: 1.5x eLearning & Online Courses: 1.5x Travel Accessories & Luggage: 1.8x Medical Devices & Equipment: 1.7x You can access all of these across every industry through our new FREE benchmarks tool, which gives brands real context across metrics like CPM and CTR from 60K+ ecommerce brands And if you want deeper, more personalized insights, we're introducing Ads Benchmarks, live directly inside Triple Whale Attribution. Check it out: https://t.co/EMNTllGFSd

@codyschneider ·
If you're an e-commerce food brand company, a highly effective way to sell your product is to have AI write recipe articles that include your product the process is straightforward ask Claude Code: What recipes could my product be put into? Give me categories then use the Ahrefs MCP to find recipes that fit those categories then a claude code, write those, and publish them to your Shopify inject call-to-actions throughout Shopify blog posts: 25%, 50%, and 75% down the page for your product set up conversion-rate tracking that isolates these pages as the landing page by connecting all your ecom data to graphed .com analyze which pages are generating the most revenue make more pages like the best performers virtuous flywheel
@sarah_carusona ·
I've always hated "e-commerce playbooks." Because there isn't 𝘖𝘕𝘌. Every brand has different unit economics, different customers, different product margins, different team resources. That said...after working across 7-9-figure brands for 10 years, there ARE three things I'd put in any "plabook." 1️⃣ Know your unit economics cold. What does a customer cost you on the first purchase? What do they generate in 3, 6, and 12 months? These are non-negotiable numbers to understand. They tell you what your aMER should be, what your pricing and discount strategy should look like, and which product you should be leading with. 2️⃣ Make it stupidly simple for the consumer. Don't get cute with the offer. Don't over-engineer the landing page. Don't give them 7 options when 1 would do. Tell them what the product is, why they need it, and make it easy to buy. 3️⃣ Get really, really good at 1-2 media channels. Meta. Google. TikTok. Pick the ones that make sense for your brand and get excellent at them. That's all you need to get to $10M, honestly even $20M. Affiliates and YouTube can be worth exploring depending on the brand, but only after you've mastered the fundamentals. Complexity is the enemy of growth for fast growing 7-8 figure brands. Stay focused and execute exceptionally on the basics. Don't chase every new shiny thing you see on X / LinkedIn. What would you add to this list? Maybe I will come out with a playbook 😅
@SammyLandix4o ·
A homepage should help shoppers decide fast. This redesign makes the offer clearer, puts the product first, adds trust, and gives parents one easy CTA. Pretty design gets attention. Conversion design gets sales. #Shopify #CRO #Ecommerce #WebDesign

@FedotOff90 ·
Most ecom brands die in one market. Not because the product stopped working. Because they let US ad costs eat their margins and never looked outside the border. The operators printing at scale in 2026 think about geography the way smart investors think about diversification. The US is the primary market. UK and Australia are the first expansion. Germany or the Netherlands for European volume. Brazil or Mexico for LatAm. Stack the markets right and you've got the same product running profitably across 5 geos while your competitor is fighting over the same exhausted US audience. Global distribution is the most underutilized system in e-commerce Also PE's and acquirers love the idea of possibility of global expansion and if you show proof of concept with that, helps to get higher multiples.
@CommnThreadCo ·
Revenue is vanity. Contribution margin is sanity. A brand doing $10M at 15% CM has $1.5M to work with. A brand doing $5M at 35% CM has $1.75M. The smaller brand is healthier. We wrote the definitive guide to Ecommerce contribution margin. Formulas, benchmarks by vertical, and why your ROAS might be lying to you. https://t.co/DrFXa3rflR
@CommnThreadCo ·
Most ecommerce brands forecast from channels down. Traffic, conversion rates, YoY growth stacked in a spreadsheet. CTC forecasts from cohorts up. That shift in starting point is why the system hits 3% accuracy across $4B in GMV. Full breakdown in the blog. Link in comments.
@rokhladnik ·
The EU is not a mini America. A lot of US e-commerce brands blindly copy their US playbooks and try to apply them to the European market. At @FlatCircleAds we now mostly manage US brands selling in the US or worldwide. But in the beginning, a big part of our work was helping US brands scale in Europe (like @hexclad and @ridgewallet) And I’m still seeing the same pattern today: Brands enter Europe assuming things will work the same way. But they don’t. In the US, you have one massive market, one dominant language, one dominant shopping culture, and a much more aggressive approach to growth. In Europe, you have 27 different realities. Different languages. Different payment habits. Different logistics. Different customers. GDPR. Smaller national markets. A different attitude toward discounts. And often less of the venture-backed “growth at all costs” mentality. That’s why copy-paste strategies often fail. What works in California won’t necessarily work in Slovenia, Germany, Italy, or Croatia. American e-commerce advice can be extremely useful. But in Europe, you have to translate it. Not just linguistically. Strategically.
@eric_seufert ·
In the latest episode of the Mobile Dev Memo podcast, I speak with Venkat Prabhu, Shopify's Director of Product for Shop Campaigns, about all of the product updates to Shopify's advertising initiatives the company announced in its Spring Editions, including: expanding retailer campaigns to the open web and ChatGPT, Shopify's new Campaign Autopilot feature, and Shopify's role as a marketing operating system for eCommerce brands. Tobi: come on the podcast! https://t.co/kmdt3Mn8l9

@glenngabe ·
Focus on ecommerce? -> Amazon starts selling its AI shopping technology to other retailers "The tool is built on Alexa for Shopping, Amazon’s recently rebranded e-commerce agent." In a blog post Wednesday, Amazon said it’s taking the “architecture, starter code and learnings” from Alexa for Shopping and packaging it together for the rest of the retail industry. The new service allows retailers to launch their own AI shopping tools tailored to their storefront, catalog and branding “in as little as 60 days,” Amazon said. https://t.co/ukcGqfEyoi
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