Zipify ads

Every cart needs a friend. Let’s paint in a happy little upsell. 🎨😂 Welcome to The Joy of Upselling with yours truly, Ezra Firestone. A little offer before checkout… another during… and one more after the sale. It’s your store. You can put an upsell wherever you want. 🖌️ 15,000+ Shopify stores use OneClickUpsell, with over $1.5 billion in extra upsell revenue. Try 30 days free. www.OneClickUpsell.com #BobRoss #Spoof #ServeTheWorldUnselfishlyAndProfit Zipify

For years Fresh Chile had exactly one upsell placement. It made money, so nobody touched it. That's the trap with stuff that works a little. It never asks you to look closer. Then we added four more with Zipify. Monthly upsell revenue went from $8.2K to $25K in 90 days, and over six months we pushed more than $238,000 through OneClickUpsell. Zipify published both numbers in their BFCM Readiness Playbook, with Fresh Chile as the case study. Here's what I believe after living through it. The revenue you never see is the revenue you lose the most of. A product with no offer attached never fails a test and never shows up in a report. It just leaks a little money every day, and Black Friday multiplies the leak. The math that changed how I think about discounts: A 10% discount on a 50% margin product needs about 25% more volume just to break even. A 10% lift in average order value can offset a 20% rise in what it costs to get a customer. With November ad costs, that one line is the whole strategy, baby. So the Zipify team built our Black Friday bundle page with tiers instead of a flat sitewide cut: Buy 3, save 5% Buy 6, save 10% Buy 12, save 20% The 5% step nudges a one jar order up for very little. The 20% only shows up on a twelve jar cart, which is a pantry stock-up and a holiday gift box rolled together. Zipify maps six places an offer can live: 1. Product page 2. Pre-purchase pop-up 3. Cart drawer 4. In-checkout, one small add-on under $30 5. Post-purchase, the easiest yes of the visit 6. Thank-you page The stat I keep thinking about: their multi-product pre-checkout offer converts around 3 to 3.5% most of the year. During Black Friday 2025 it hit 8.15%. Shoppers in buying mode want to browse a little before they pay. None of this matters if nobody lands on the page. On Oct 4 we sent one SMS about XHOT Pure Hatch Green Chile only to people who already bought Matador or XHOT. It went to 3,038 people, 39.2% clicked, and it made $774.40. A 48,000 person send made $1,900. Sixteen times the audience made about two and a half times the money. What I'd do this week: Pull the Items Bought Together report in Shopify and pair each top seller with two or three partners. Turn on a catch-all offer so every product has something attached. Add a multi-product pre-checkout offer to your top funnels. Point one email and one SMS at a single bundle page, and segment who gets which. Zipify put the whole system into a 20 page BFCM Readiness Playbook. Six touchpoints, margin guardrails, and a coverage audit you can run in an afternoon. Link in the comments. Full disclosure, Zipify is a partner and we run their apps at Fresh Chile. The traffic you already paid for has been sitting in carts with nothing to say yes to. https://lnkd.in/gxZHpZfW

What are you doing to turn Black Friday buyers into repeat customers? Because roughly 9 in 10 of them won't be coming back next year (from an analysis of 1.9M Black Week orders). Black Friday shoppers show up hunting for a deal, and the last thing you want is to interrupt their path to checkout. It's why so many shoppers skip the subscribe-and-save option on your product page. They came for a one-time deal, and it's asking for a bigger commitment before they've even decided to buy once. So we designed a new One Click Upsell feature to help with this exact problem: post-purchase subscription upsells. The offer lives after checkout, so it can't touch your conversion rate — the sale is already captured. And the timing works in your favor because they've just bought, and confidence in your product is at its peak. Now customers can either: 1. Switch to the subscription in one click, and retroactively get the subscriber discount (the one-time purchase is refunded automatically) 2. Upgrade to a higher tier (for existing subscribers) and pay nothing at checkout Read the full breakdown here: https://lnkd.in/evav6kDE/?utm_campaign=Boost_Post_BrandAwareness_Oct27,2026&utm_source=linkedin&utm_medium=paid&utm_id=1243640794&hsa_acc=513398443&hsa_cam=1243640794&hsa_grp=905756994&hsa_ad=1617474654&hsa_net=linkedin&hsa_ver=3 Or test it on your Shopify store for free: https://lnkd.in/efXr2ZZW/?utm_campaign=Boost_Post_BrandAwareness_Oct27,2026&utm_source=linkedin&utm_medium=paid&utm_id=1243640794&hsa_acc=513398443&hsa_cam=1243640794&hsa_grp=905756994&hsa_ad=1617474654&hsa_net=linkedin&hsa_ver=3 #OneClickUpsell #BFCM #ShopifyPlus #EcommerceGrowth

Ezra Firestone runs his $250M+ Shopify business off of one Google Spreadsheet. Most ecommerce teams are split pulling reports from 4 or 5 different platforms, Meta, Google, Amazon, Shopify, their CRM, etc., and trying to make sense of it before Monday's meeting. It's messy, it's time-consuming, and it still doesn't tell you what you actually need to know. So performance trends only get calculated once or twice a quarter instead of every week. Which means small problems, a dip in ROAS, a drop in repeat customer revenue, don't get caught until they're obvious. And way more expensive. That’s why Ezra created this spreadsheet for every one of his 8-figure brands. He checks it religiously every Monday, because it helps him spend less time lost in reports and more time actually acting on the numbers. Here’s what’s inside: 📊 20+ metrics show your entire business health in one glance 🔁 New vs. repeat customer revenue week over week & Y/Y 💰 Marketing spend as % of net sales to keep margins safe 📈 ROAS for Meta, Google, Amazon 🛒 AOV for all ecommerce channels: Shopify, Amazon, Walmart 🚨 An early warning system to catch problems before they cost you And it’s AI friendly, so you don’t have to import your numbers manually. 👇 Grab it here: https://hubs.la/Q04g9qmv0

A brand Ezra Firestone is working with is testing a new acquisition channel and it’s performing at 1.8 ROAS at $70K/day, with 84% net-new customers. The channel is AppLovin: a mobile app ad network that puts ecommerce ads inside games and utility apps. It opened to ecommerce advertisers in 2024 and became the #3 DTC performance channel in under 12 months, behind only Meta and Google. One of the biggest reasons it climbed that fast is because AppLovin ads average 35 seconds of view time. Compare that to: • 1 second on TikTok • 3 seconds on Facebook • 5 seconds on YouTube With that much time, you’re able to run a full sales pitch. And it converts quickly. 80% of conversions happen within one hour of watching the ad. For ecommerce brands looking to diversify beyond crowded auctions, this is one of the most underrated acquisition channels available right now. Check out the full blog to see how Ezra is scaling brands on AppLovin, and a bonus section on how to unlock $5,000 in free AppLovin ad credits inside: https://hubs.la/Q049WFqX0 #adchannel #upsell #business #ecommerce #shopify #marketing

This Allbirds product page answers an AI shopping query perfectly. AI gets millions of shopping queries everyday. If AI can’t understand your product data, it simply skips you. Let’s break this one down: Allbirds: Men’s Wool Runners. In just three words, the product title gives AI everything it needs: ✔️ Men’s → clear audience signal ✔️ Wool → premium material + comfort association ✔️ Runner → product category and use case So when someone searches for “What’s a comfortable running shoe around $100?” AI doesn’t have to guess. AI recommendation engines rely on 17+ critical product fields like titles, descriptions, schema, and reviews to recommend your products. We break down the top 7 Shopify fields AI actually checks in this blog: https://hubs.ly/Q048XMxg0 #ai #ecommerce #shopify #marketing #upsell #business