Shopify Store Creation

I've run organic content strategy for DTC brands doing $1M–$100M+ in revenue. Here's everything I know: Most brands are great at buying ads. Very few are great at building the content that makes those ads work. Framework we battle-tested at Fresh Chile, a top 1% Shopify brand, and now deploy across our agency clients. We call it the Shop Operating System. Step 1: Start with your product page Most brands start with a blank calendar and a vague brief. That's why they run out of ideas in two weeks. Your PDP already has the playbook. Reviews become social proof posts. How-to content becomes tutorial stories. Shipping and returns become objection-handling stories. Price becomes value framing. 10 SKUs worked through every PDP element. That's 30 days of content minimum. Step 2: Stop obsessing over the grid The grid is not where your customers live. They're in stories. They're watching reels. My biggest viral video at Fresh Chile was an ugly burrito thumbnail. Genuinely unappetizing. It sold a lot of salsa. Post the thing. The community will tell you what works. Step 3: Build the system visually first Most content strategies fall apart because they live in someone's head. We run everything through a Figma board built 45 days out. Every day has a post, stories, an email, and ads launching. When a brand owner can see one day and know exactly what's going out across every channel, something clicks. Organic complements email. Email complements paid. None of it operates in a silo. Step 4: Volume is not the enemy of quality. Paralysis is. In the last 28 days at Fresh Chile, we distributed over 500 pieces of content. I benchmarked follower growth against Heinz, French's, Tostitos, Tabasco, Cholula. Net negative for all of them. We were the only brand positive, and by a significant margin. 500 pieces of content also means 500 assets your ad account can pull from. That's the design. Step 5: Organic is the creative layer that makes paid more efficient Every media buyer I've talked to says the same thing: "My job is so much easier when the brand has organic dialed in." When you're running organic at volume, the market tells you what's working before you put a dollar behind it. The content getting the most saves and shares is your next ad. You already know it converts. That's the real unlock. Step 6: The channel most DTC brands are sleeping on YouTube Shorts. Disney, Hulu, Peacock, Netflix every major streaming platform combined does not match YouTube's monthly viewership. I've been running a weekly cooking show on Fresh Chile's YouTube for a year. The compounding is starting to show. If you're already creating for Instagram and TikTok, the repurpose to YouTube takes ten minutes. The summary Start with your PDP. Build the calendar visually. Post with volume and strategy. Let organic tell you what to put money behind. Repurpose everything to YouTube. That's what we've been building. And the results are showing up. That's SHOP OS.

Are You Spending Too Much to Acquire a Customer, Or Not Enough? E-commerce brands often focus on lowering their customer acquisition costs (CAC). But what if cutting CAC is actually hurting growth? The real question isn’t just how much does it cost to acquire a customer? It’s how much should you be spending? If you knew with certainty that a customer would generate $500 in long-term profit, would you hesitate to spend $100 to acquire them? Probably not. But many brands take a one-size-fits-all approach, capping CAC at an arbitrary percentage of their first purchase revenue. This can lead to underinvestment in acquiring high-value customers and overinvestment in customers who won’t stick around. A better approach is to align CAC with long-term customer equity, not just at a blended level, but dynamically across customer segments. Some customers have significantly greater revenue potential than others. The challenge is identifying which customers will create sustainable profitability over time. The chart illustrates that customer acquisition cost (CAC) and lifetime value (LTV) are not linear, spending more on acquisition can lead to higher-value customers, but only up to a certain point. Key Insights: There is an optimal CAC range. - Spending too little on CAC (left side of the chart) may result in acquiring lower-value customers, limiting long-term profitability. - Spending too much (right side of the chart) can lead to diminishing returns, where LTV does not justify the extra spend.   The breakeven threshold matters. - The red dashed line represents where CAC = LTV, meaning any spend above this line is unprofitable unless justified by strategic goals (e.g., market share growth). Smarter spending, not just lower spending, drives profitability. - Many brands mistakenly focus only on reducing CAC, but the real goal is to align CAC with future LTV dynamically across customer segments. What This Means for Retailers Instead of asking, “How much does it cost to acquire a customer?”, the real question is: - How much should we spend to acquire the right customers? - How long will it take to break even on acquisition costs? - Which acquisition channels and products lead to the highest-value customers? Retailers who leverage AI-driven insights to align CAC with future Customer Equity, not just at a blended level but dynamically across customer segments, can spend smarter, scale faster, and drive long-term profitability. If you want to go deeper on this topic, Professor Peter Fader has done extensive research on customer-centric growth strategies. Check out this fascinating podcast with Nick Hague on how businesses can take a more data-driven approach to optimizing CAC. https://lnkd.in/eGu5EM5g #CustomerAcquisition #EcommerceGrowth #MarketingStrategy #CustomerEquity #GrowthMarketing #CACvsLTV #RetailStrategy #Profitability #WGBTpodcast

92% of people don’t buy the first time they see a product. Not because they don’t want it. But because they aren't confident to buy it (yet). They think: – Is this the right product for me? – What if I need to return it? – Can I trust this brand? Answers to which they struggle to find. In this post, I’m breaking down 8 content, image, and UX changes that help shoppers say “yes” faster (without lowering your price or offering a bigger discount). 1. Keep the product name, price above the product image. This allows you to add a "1-line description" prominently. Also makes the add to cart CTA "appear" closer since shoppers usually scroll till the image. 2. Add badges on your product image. It's certifications, press icons, bestseller. This reassures shoppers that this is a quality product. And gives them the confidence to keep scrolling down. 3. Show a sneak peek of the next product. This makes the image gallery more intuitive to use, overall increasing your engagement rates. 4. Show thumbnails of the other images. Especially applicable if they have model images, educational content. It makes the shopper know in an instance "why" they should see these images. 5. Add key service USPs just below your add to cart CTA. This addresses common questions people have. How fast I get did? Can I return it? Does it delivery to my location? 6. Upsell at the right place. People usually buy towels in packs. For face, hand, body. That's why it made sense for it to be before the accordions for this brand. See my other posts to find where to upsell for other industries. 7. Add a short description intro before the accordions. This gets people reading and interested in the product. Overall improving CTR on the accordions. 8. Add accordions. These are collapsed drop downs with key product information. Help them answer common questions like how to use, quality, materials, how it's made. Try these and let me know how it impacts your website. P.S. Want to know what % of users interact with your images? Find out from a tool like Clarity (which is free), or Crazyegg/Hotjar (paid alternatives). From the heat maps report. If you'd want to learn how to take out insights from user behavior. Check out my CRO guide. Comment 'Guide' and I'll send you the link to get it.

We changed one button on a client’s website and watched acquisition costs drop by a third overnight. Same ads, same audience… just tracking what Meta ACTUALLY values instead of what everyone thinks it values. Here’s the exact framework: 1. Fix Your Funnel Mechanics Standard e-commerce flows create massive inefficiencies when they don't align with platform event schemas. Multi-page checkouts, delayed confirmation signals, and fragmented purchase paths all force algorithms to work harder to find your customers. 2. Implement Strategic Conversion Paths Single-page checkout flows increase "InitiateCheckout" events by 20%, giving Meta earlier signals that immediately improve auction performance. Email-capture modals treated as "Lead" events let you optimize for actions Meta can deliver at a fraction of "Purchase" event costs. Progressive form fields create additional data points that feed algorithms the optimization signals they crave. 3. Optimize for Predictive Events While everyone obsesses over "add-to-cart," events like "complete registration" often predict lifetime value more accurately and convert at substantially lower costs. The accounts we've restructured around these insights consistently see 30%+ CPA improvements within weeks. 4. Sequence Your Channels Strategically Start with Pinterest/YouTube for cold reach. Transition to Meta Lead/Form campaigns, optimizing toward micro-conversions. Finally, move to Meta Conversion campaigns using fresh "AddToCart" seed audiences. This sequence leverages each platform's attribution window to maximize incremental lift while preventing platform competition for conversion credit. The brands beating CAC benchmarks in competitive markets have simply restructured their funnel mechanics to align with how algorithms really value conversions. This approach requires zero additional spend; just a strategic reconfiguration of your customer journey.

More traffic means nothing if you can’t turn visitors into customers. We helped an eCommerce client grow revenue by 72% and 3X’d their organic traffic along the way. Turns out, when you give users a better experience and convert them, Google will naturally send you more free traffic. Here’s exactly how we did it, and how you can too. 👇 1️⃣ Your blog should actively drive sales, not just rank. Find your top-selling products in Google Analytics. Go to Reports → Monetization → Ecommerce purchases. Sort by revenue or units sold. These are your “money” pages. Next, add contextual internal links from relevant blog posts. Link naturally within sentences using descriptive, keyword-rich anchor text. 2️⃣ Add product widgets at strategic points in your content: Place widgets in 3 key areas: - Within articles when discussing related items - Sidebar for consistent visibility - Bottom of posts for subtle promotion Try these proven widget types: - Popular/bestselling products  - Recently viewed items  - New arrivals  - Special offers/discounts  - "People also buy" recommendations Make sure your widgets have:  - Clear, clickable images  - Direct "Add to Cart" buttons when possible  - Quick view functionality 3️⃣ Keep visitors engaged with related posts sections at the end of each article. Not all your visitors will buy right away. Extract SEO value from them using related posts. WordPress users can try Contextual Related Posts plugin, while Shopify stores can use Related Blog Posts Pro. Longer site visits mean more product discovery opportunities. 4️⃣ Never use generic product descriptions. Create unique descriptions at scale with ChatGPT’s (free) Ecommerce SEO Product Description Writer. Feed in your product name, features, and what makes it different. Then enhance the output with customer-focused benefits, clear features, and FAQs. 5️⃣ Structure descriptions into scannable sections: - Brief overview for busy shoppers - Detailed info for researchers - Feature lists with practical benefits - Clean technical specs - How-to sections for complex products The key here is to give Google exactly what it wants - unique content that satisfies user intent AND converts. The result of these tweaks? • 204% increase in organic traffic (9,107 → 27,699 monthly sessions) • 72% increase in monthly revenue • 1.75x more keywords in top 10 positions (2K → 3.5K)

How to add $1M year in organic revenue through a creator community in 2025 for Shopify brands The biggest marketing opportunity for brands is still building an own-able community of creators that drive MOF and BOF performance It's one of the only tactics that builds brand AND performance without having to sacrifice one for the other Here are the exact 6 steps we used to scale our client to $100k/ mo in 12 months👇 1. Get setup with an influencer-affiliate software - this brand is on Superfiliate 2. Create a rich offer (start with free product + 20% commissions) The richer your offer, the easier it will be to recruit top creators 3. Use an influencer discovery tool that gives you the ability to build quality lists and download CSV's of name and emails 4. Do scaled outbound - reach out to a minimum of 4000 creators per month 5. Seed product to every creator that opts in to your community Seed more product at different milestones for content posted or revenue generated 6. Use community management strategies to retain and coach creators to increase content posted and revenue driven Use trigger based klaviyo flows to engage creators when they post content and drive a conversion Setup monthly campaigns and challenges to increase avg content per creator Work with them to promote your biggest discount/promo periods Do 1:1 outreach to coach and engage active creators Provide fresh concepts and top hooks monthly to help improve creator content Here were the results in November alone 🔎 -- $101k organic revenue -- 6.7M impressions (probably closer to 10M but we're not tracking TikTok, Youtube, or Pinterest) -- 203k engagements --$100k EMV -- 27k clicks 👉 And we're reporting on a 7 day last click instead of 30 day... 😳 The best part is this community is 100% performance based Meaning we didn't come out of pocket to pay for a single piece of content And the craziest part is this brand is leaving one of the biggest value drivers from a creator community on the table... 👉 Working with top creators to create UGC/whitelisting ads on a performance basis Instead of paying an expensive UGC agency and coming out of pocket for content that may or may not perform... You should work with creators in your community and pay them on a CPA basis if their ads scale It's an additional way for creators to monetize their content And limits your risk of paying for creative that doesn't perform We're seeing some of our clients completely cut their paid UGC strategy by taking a community driven approach to ad content Just my 2 cents: I think that with the rise of AI content and consumers getting smarter around paid UGC feeling overly scripted There's going to be a higher demand and premium put on genuine reviews and testimonial content from real people & a creator community strategy generates an endless pipeline of this content 🙌 Build brand AND performance Build a moat around your biz Build a creator community Let's build!

𝗖𝗼𝗻𝘀𝗲𝗻𝘁 𝗠𝗼𝗱𝗲 𝗶𝘀 𝗼𝗻 — 𝗯𝘂𝘁 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮’𝘀 𝗴𝗼𝗻𝗲? 𝗛𝗲𝗿𝗲’𝘀 𝗮 𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝘀𝗮𝗻𝗶𝘁𝘆 𝗰𝗵𝗲𝗰𝗸. I’ve lost count of how many times I’ve heard, “We implemented #ConsentMode, but now we’re seeing way less data. Is that normal?” Technically… yes. But practically? It usually means something broke. Because here’s what really happens: the team follows the setup guide, adds the cookie banner, sets up the tags — and calls it a day. Everything looks fine… until you turn on debug mode and realize the tags aren’t firing at all. Why? Because the user didn’t click anything. No consent = no tracking = no data. Surprise! Consent Mode isn’t just some magical checkbox you tick in GTM and walk away from. It’s a system. And for it to actually work, several things need to go right: the banner must send signals, tags must listen to those signals, requests should still be sent even without consent (for Advanced Consent Mode), and GA4 and Ads need to get clear consent statuses. If even one of those breaks, you’ll be staring at empty reports while wondering why CRM says 100 orders and GA4 shows 17. So I built myself a quick 5-minute checklist. I run it every single time I touch Consent Mode. Step 1: Basic Consent Mode? Open your site in incognito mode or enable GTM’s debug mode with cookies cleaning. Do the tags only fire after clicking “Accept”? If they fire before — that’s already a problem. Step 2: Advanced Consent Mode? Check if requests are being sent. Even without consent (gcs=100), request should go out to help #GA4 model traffic. No cookieless pings = no modeling = no insights. Step 3: Check when your tags fire relative to consent_default's. Make sure no tags are firing before these command are triggered. If your setup ignores them — you’re at risk of tracking things without consent or missing data entirely. Also, keep an eye on changes to default Consent Mode behavior — Google updates them more often than you think. Step 4: Check GA4 or BigQuery for the consent_granted parameter. You should see a mix of true and false. If you only see true, something’s off. Real users don’t all say yes. Now, here’s the kicker: if you blindly trust Consent Mode to “just work,” you’ll lose data. Not a little. A lot. Traffic underreported. Conversions missing from Ads. Smart campaigns flying blind. And all it takes to stay safe is running this checklist once a month. Adjust tags if the banner misbehaves. Debug with your eyes open. Because Consent Mode isn’t some enchanted artifact from Google. It’s just a tool. Use it wrong — and it’ll quietly wreck your tracking. By the way, If you’re working on improving attribution and want to avoid wasting budget on noise, try my free CRO calculator — it’s simple, clear, and helps you figure out which channels actually drive revenue. Link’s in the bio - https://lnkd.in/gMbPkpDF

It surprises me how many e-commerce brands pretend to offer a personalized storefront, but show the same store to everyone. The attached visual that shows what a modern storefront actually looks like behind the scenes, which is a simple system that reacts in real time. Thought it would be useful to break this down into three stages with the recommended tech stack below: Stage 1: Signals (data in) You capture (live) what’s already happening the moment someone arrives. How they got there, what they’re doing, what device they’re on, and whether they’ve bought before. Typical stack: • Segment or RudderStack for event capture • Shopify events and customer data • Google Tag Manager • Meta / TikTok UTMs for paid context Focus on clean, real-time signals without overengineering identity. Stage 2: Decisions (what to show) Those signals get turned into a simple decision immediately. Which message, which products, which path makes sense for this visitor right now. If it’s not fast enough to change the first screen, it doesn’t count. Typical stack: • Dynamic Yield or Nosto • Vercel edge logic • Cloudflare Workers • Simple rules or light models, not heavy AI Remember, speed beats sophistication. Stage 3: Experience (what changes) The storefront responds on arrival. The hero, first product grid, and primary CTA change instantly so the site feels relevant from the first moment. Typical stack: • Shopify Hydrogen or native Shopify sections • Contentful or Optimizely • Server-side or edge-rendered changes, not client-side flicker Important, personalize above the fold first. A returning high-value customer sees new arrivals and a faster path to checkout. A first-time visitor from paid sees a clearer offer and fewer choices. A deal-driven shopper sees bundles and savings upfront. Everything else comes later. If you want to start without overengineering: • Pick the two audiences that matter most • Personalize only the hero and first product grid • Measure lift on conversion rate and revenue per session • Add complexity only after this works Start simple: focus on one working example that proves the storefront can adapt in real time in a way customers actually feel.