Shane Roach 💎

Cross-selling doesn’t automatically grow AOV Here’s proof: I audited a Shopify store with 50K+ orders/year They sell niche footwear accessories And they were offering bundles, but only as add-ons (metal tips, lace locks) The result? ✔ 45% of orders were bundles × AOV was stuck at $13.75 The reason: Customers were buying 2-5 items per order, but almost never full sets What the data showed: - Avg. items per order: 2.5 - Common patterns: 2 or 3 colors of the same product - Most frequent combos:  -> black + white  -> sail + pink  -> Jordan 1 + aglets But the site didn’t push bundles actively It didn’t make mixing easy And it didn’t highlight common combos The opportunity? Test new mix & match formats: 1) 3-pack builder: any 3 colors 2) 2 laces + optional add-ons 3) Trio + aglets: 2 required, 1 optional + accessory Expected impact? 👉 +15-20% AOV uplift 👉 More 3-5 item orders 👉 Better category discovery This is exactly the kind of audit insight I’ll be sharing at the Shopify Founders Meetup in Bratislava - Nov 6 If you’re building a Shopify brand in Slovakia and want more ideas like this: Register here👇 https://lnkd.in/epyc4aKr

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𝗧𝗵𝗲 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀 𝗱𝗼𝗻’𝘁 𝗵𝗮𝗽𝗽𝗲𝗻 𝗼𝗻 𝗕𝗹𝗮𝗰𝗸 𝗙𝗿𝗶𝗱𝗮𝘆. They start building weeks before peak volume hits. For DTC brands, three weak points derail high-volume performance more than any others: → 𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 𝗽𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁. Too much stock in one node, not enough in another. Orders pile up. Delivery times slip. → 𝗖𝗮𝗿𝗿𝗶𝗲𝗿 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆. If you’re leaning too heavily on one carrier, one delay snowballs into missed SLAs. → 𝗧𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁 𝗯𝗹𝗶𝗻𝗱 𝘀𝗽𝗼𝘁𝘀. More demand doesn’t just stress pick-and-pack—it overloads systems, partners, and processes that weren’t built with headroom. The brands that handle Q4 best aren’t the ones with flawless forecasts. They’re the ones that build flexibility into their fulfillment backbone. ✓ Multi-node inventory to balance demand. ✓ Diversified carriers to absorb shocks. ✓ Smarter routing and analytics to unlock hidden capacity before it’s too late. At 1 Commerce, we see peak periods as stress tests. They don’t just reveal cracks, they highlight whether your system is built for scale. Because Q4 isn’t about chasing more orders. It’s about ensuring every order actually arrives fast, reliable, and repeat-worthy. ↳ Which operational bottleneck has cost your brand the most in past peak seasons, and how did you fix it? #Q4Readiness #SmartFulfillment #EcommerceStrategy #DTCGrowth #OperatorLed

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🔥 Your store team generates 80% of revenue with 0% of the tech. Time to fix that gap? Listen in with Leigh Sevin Endear on The Robin Report #RetailUnwrapped as we discuss how marketing teams drown in AI solutions, while the frontline heroes are left behind. Smart retailers are arming store teams with CRM tools that turn every associate into a relationship-building powerhouse. Fashion Institute of Technology RetailWire RETHINK Retail #TRE #retailnews #retail #RetailInnovation #CRM #AIinRetail

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Great conversation by Michael LeBlanc Tara Conway on The Voice of Retail. There is a lot of noise right now around AI, retail media, and disruption. What I appreciate about this discussion is the focus on what actually drives impact. Inventory intelligence. Assortment clarity. Smarter decisions. AI should elevate teams, not simply reduce them. When used well, it strengthens leadership, sharpens strategy, and improves execution. That is where the real advantage sits. Also loved the point about smaller retailers moving faster. Agility is an asset. The ability to test, learn, and adjust quickly often beats scale weighed down by complexity. Proud to see Tara Conway bringing practical insight to the conversation, and grateful to be building alongside her, Johnny Russo, and David Nagy with Commerce Rewired. If you care about where retail is really headed, this one is worth your time.

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