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Hey Fastlane Insiders! 👋

Something hit me this week while I was putting this edition together. We're all so focused on getting more traffic, running more ads, and spending more to acquire customers. But the brands I keep talking to that are actually winning right now? They're not outspending anyone. They're asking better questions about what happens after someone shows up.

Questions like: when a shopper asks ChatGPT for a product recommendation in your category, does your brand even show up? Or when someone lands on your store ready to buy, are you handing them a discount they never needed in the first place? These are the kind of blind spots that quietly cost you thousands in margin every month, and most operators don't realize it until someone points it out.

This week's edition digs into all of it.

On the pod, I chatted with the founder of Growth Suite, and his take on "blind discounting" genuinely changed how I think about offers. In the Knowledge Drops, I'm sharing two pieces I wrote this week on AI brand visibility and growing AOV through personalization. Both of them came from patterns I keep seeing across conversations with Shopify operators at every stage.

Here's what made the cut this week:

🎧 This Week's Podcast – Why handing discounts to ready to buy customers is silently draining your margin (and what to do instead)

💡 Knowledge Drops – Your brand's AI visibility gap and the AOV personalization playbook smart operators are running right now

🔥 Tool of the Week – Littledata: server side tracking that captures the revenue your pixels miss

📡 Industry Pulse – OpenAI kills instant checkout, ecommerce hits $1.23T, and Best Buy rebuilds for AI agents

🎯 Free Webinar (March 25)Text x 2way on Agentic Automation and SMS: stop renting reach and start owning your audience

Let's get into it. 👇

🎧 New Podcast Episode! 🎧

Stop Giving Discounts to Customers Who Were Already Going to Buy

Here's something that's been bothering me lately. You're spending real money on Meta, Google, TikTok, and influencer campaigns to get people to your store. CAC is expensive. You know that. But then the moment someone lands on your site, you hand them 10% off. Even the people who were already reaching for their credit card.

This week, I sat down with Muhammed Tüfekyapan, Founder of Growth Suite, a Shopify app working with hundreds of brands to flip the default discounting playbook on its head. Instead of treating every visitor the same, his platform watches real-time behavior to figure out who actually needs a nudge and who was going to buy anyway.

Here's a taste of what we get into:

  • Most brands are giving away margin to people who never needed the discount. Muhammed calls it "blind discounting," and his data on what happens when brands stop doing it is honestly hard to argue with.

  • Cart abandonment and checkout abandonment are completely different problems, and most brands treat them as the same thing. That mistake alone is costing you more than you think.

  • One brand saw 80+ orders with zero discount codes on the very first day. That's on a store doing 100+ orders daily. Muhammed walks through exactly what changed and why it worked immediately.

  • There's a two week testing framework that lets you validate the impact before committing to anything. No risk, clean before and after data.

This one is worth the full listen. Whether you're doing $50K months or scaling past $1M, the framework Muhammed lays out will change how you think about every offer you run.

LISTEN NOW → Stop leaking margin on discounts that were never designed to work at scale

🔥 Stop Being Ghosted 🔥

Turn "Maybe" into "Sold" with Text and 2way.

How to bridge the gap between browsing and buying? The goal is simple: instead of renting an audience from social media, your brand can easily own its reach through QR codes or pop-up-based opt-ins to an audience you actually own.

On March 25th at 12 PM ET, Nina Tomczak (2way) and Peter Sarzynski (Text) will walk you through Agentic Automation and SMS. No buzzwords. No tech-talk! 

Learn how to capture leads instantly and offer a hassle-free experience that people actually appreciate. From growing a contact list via NFC to recovering "at-risk" sales with a timely text. This webinar focuses on making the shopping journey feel personal again. 

2026 isn't about chasing more traffic; it’s about keeping the people you already have. With 86% of your customers using smartphones, you can seize every shop visit as an opportunity to reach out.

💡 Knowledge Drops of the Week 💡

Your Brand Can Rank #1 on Google and Still Be Completely Invisible to AI

Here's something most Shopify operators haven't tested yet: open ChatGPT, Claude, or Perplexity and ask for a recommendation in your product category. Don't search your brand name. Search for the problem you solve. For most brands doing under $10M, the result is the same — you're nowhere in the response.

That's the AI visibility gap. Google works when people search for what they already know. AI works when people ask for what they need. Your brand may own the first discovery channel. You're probably losing the second, and you won't know until you actually check.

Brands with strong organic rankings and zero AI recommendation visibility almost always share one thing in common. It's not ad spend. It's not product quality. It's citation footprint.

Here's what's actually working:

  • Run the three-platform check first — Test ChatGPT, Claude, and Perplexity with the same category search your customer would use. Track whether you appear in the top three, anywhere, or not at all. Most brands are startled by the results. This 15-minute audit tells you exactly where the gap is before you spend a single hour fixing it.

  • Third-party citations are the currency AI models run on — A mention on a credible review site or in an editorial "best of" list signals to AI that your brand is worth recommending. Your own website content, no matter how well-optimized, doesn't create that signal. The brands winning AI recommendations have built external citation footprints, not just strong homepages.

  • There are three specific moves that move the needle fastest — Editorial outreach, Reddit community presence, and answer-format content optimization. Each one targets a different part of how AI models learn to recommend brands. The full breakdown includes a week-by-week timeline for what to expect across the first 90 days.

AI discovery is becoming the new organic search. The brands that build visibility now will have a compounding advantage that gets harder to close over time.

READ THE FULL BREAKDOWN → Get the exact playbook for testing your AI visibility and closing the gap within 90 days.

How Smart Shopify Brands Are Growing AOV Without Spending More on Ads

Here's a pattern I keep seeing with brands doing $200K to $5M: they hit a ceiling where ad costs keep climbing, but revenue growth doesn't keep pace. The obvious move feels like spending more. The less obvious move, and the one that actually works, is building a personalization system that squeezes more revenue from the customers already buying from you.

Over 50,000 Shopify brands are already doing this. And the results are not subtle. We're talking about 11-25% AOV lifts and subscription revenue jumps of up to 63% without adding a single dollar to ad spend.

Here's what stood out to me:

  • The cart is where the money is. Most brands treat the cart as a static list of items. The brands winning right now have turned it into a full commerce environment with AI-powered cross-sells, subscribe-and-save offers, and tiered progress bars. For one brand, over half of its personalization revenue came from the cart alone.

  • Post-purchase is a profit center most brands ignore. That thank you page after checkout? It's the moment a customer just proved they trust you. Instead of a dead end, smart operators are using it to serve personalized offers at peak buying intent. Pure incremental profit.

  • You don't need a developer or a huge team to pull this off. The entire setup can be done in about 4 to 6 hours, and most brands see measurable results within the first week. I broke down the exact 30 day sprint to get it running.

I go deep on the five specific touchpoints that move the needle, when this approach is the right fit (and when it's not), and the honest competitive landscape.

READ THE FULL BREAKDOWN → The playbook for growing AOV with AI personalization

🔥 Tool of the Week 🔥

Your Shopify store had 100 orders yesterday. Google Analytics only saw 80 of them.

That's not a hypothetical — the average DTC brand is missing 20–30% of transaction data in GA4 right now. Ad blockers, iOS privacy restrictions, Shop Pay redirects, and subscription renewals all silently break Shopify's default tracking. The result? Your ROAS looks worse than it actually is, Meta and Google's algorithms optimize against incomplete data, and you end up killing profitable campaigns you should be scaling.

Littledata is the server-side data layer that fixes this in about 10 minutes — no GTM, no code, no developer. It connects your Shopify store directly to Google Analytics, Google Ads, Meta Conversions API, Klaviyo, and more, capturing every conversion that browser-based tracking misses. Over 2,000 Shopify brands trust it as the foundation for their marketing decisions.

If you're spending on paid acquisition and making decisions from GA4 reports, you need to know whether your data is lying to you first.

👉 Run Littledata's Free Conversion Checker → See exactly how many orders your GA4 is missing — takes 30 seconds

This Week’s Industry Pulse

A handful of updates land that actually move the needle. Here's what made the cut…

  • Consumers Still Don't Buy Inside ChatGPT — OpenAI shut down its "Instant Checkout" feature this week after just five months, citing tax infrastructure complexity and low merchant adoption, with Forrester's fresh March 2026 consumer survey confirming that completing a purchase inside an AI answer engine is still the least-adopted use case among regular AI users. For Shopify operators, this is a clarifying signal: your near-term job is getting your product data AI-readable so shoppers can find you — the checkout still belongs on your store.

  • eCommerce Hits 16.6% of All Retail — The US Census Bureau released its Q4 2025 numbers yesterday, showing ecommerce grew 5.3% year-over-year to $316.1 billion in a single quarter — nearly double the 2.7% growth rate for total retail over the same period, with full-year US ecommerce crossing $1.23 trillion. The channel's share of total retail spending has risen every quarter for two years, and the macro case for being digital-first has never been cleaner.

  • BestBuy Is Stress-Testing Your Future — On Best Buy's Q4 earnings call this week, CEO Corie Barry announced the retailer is simultaneously publishing its full product catalog to ChatGPT, implementing Google's Universal Commerce Protocol for purchases directly inside Gemini and AI Mode, and redesigning BestBuy.com from the ground up to be browseable by AI agents on customers' behalf. The expert warning embedded in the Retail Dive coverage is the one worth saving. If a customer arrives at your store from an AI assistant and finds inconsistent pricing, wrong variants, or missing availability, you don't just lose the sale, you erode their trust in the decision they already made.

Until Next Thursday

We're almost through Q1. Let that land for a second…

It feels like January was last week, and here we are staring down the end of March.

The speed at which this year is moving is exactly why the small moves matter more than the big plans.

Thanks for spending the last few minutes with me today. 🙏

But here's what would actually make this edition worthwhile. Pick one thing and try it.

👉 Run the AI visibility test across ChatGPT and Perplexity.

👉 Rethink how you're using discount codes.

👉 Look at what your cart is actually doing for you right now.

Any of it works. The only wrong answer is to read all of this and do nothing.

The brands that will look back on 2026 and feel good about where they landed aren't the ones that consumed the most content. They're the ones who grabbed a concept, tested it, and let the compounding start.

If you do try something from this edition, hit reply and tell me about it. I read every response, and those conversations are what shape what we dig into next.

Keep building. Keep questioning the defaults.

Cheers!

— Steve

P.S. Missed a previous edition? Browse the Fastlane Insider Archive for past strategies and playbooks.

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