Happy Sunday!

If you're reading this, I hope you got some sun this weekend, you're staying hydrated, and you've got a few minutes for a very tactical landing page newsletter. This one is meant to be open on the left side of your screen, while you create the LP on the right side. But, before we get into that…

Vendor of the Week

Portless — Stop betting all of Q4 on 1 inventory forecast.

Black Friday is at the end of November, but brands importing from Asia are making their biggest inventory bet of the year right now. Production can take 30-90 days. Ocean freight adds another 45-60.

Translation: you get one shot. Guess low, and your best seller stocks out mid-peak while $20+ per unit air freight becomes the only rescue. Guess high, and your cash spends Q4 in a warehouse and January on a clearance rack… tough!

That’s why I like what Portless is doing. Portless isn’t a better 3PL; it’s a different supply chain model. Instead of shipping a container across the ocean and hoping the forecast was right, brands hold inventory at Portless facilities a few minutes from their factories in China & Vietnam.

Orders go directly to the customer in 5-8 days on average, with local tracking, fully landed duties, and a domestic delivery experience. And one inventory pool means you instantly unlock over 75 countries without having to open another warehouse.

The September forecast becomes a starting point, not a death sentence. Inventory lead times drop by 90%, so a hero SKU can be replenished while BFCM is still happening. Duties are paid as orders ship instead of upfront on a full seasonal buy, and cash comes back up to 16 weeks sooner. Under the hood, Portless has shipped 3M+ cross-border packages with 99.8% pick-and-pack accuracy.

For growing brands, the team can get you onboarded in days. For larger brands, Portless can act as an additional fast lane for BFCM without forcing you to move your entire operation.

Join their upcoming webinar with Global-e on International Expansion here, and get your 90-day plan for scaling into new markets.

Limited Supply

This past week, I aired a talk I did at the Q4 Summit with Harley Finklestein, the President of Shopify, talking about BFCM trends. This is a talk we did a while back, but given how repetitive BFCM behavior is, it makes sense to see if there’s any nuggets to steal for this year (and there are!).

Listen to Limited Supply wherever you get your podcasts, and if you’ll be in New York City on September 24th, come to Capitale (a restored old bank building) for this year’s Q4 Summit. Get a free ticket on this link!

The Art of Building a Landing Page

When advising brands, I've watched teams hand Manus or Claude Code a product URL and ask for a landing page. A few minutes later, they have a clean page with a headline, five reasons, proof, and an offer. It looks finished. The problem is that nobody actually made a decision.

The model picked the audience and angle, chose the reasons and their order, then filled in the proof and offer from whatever it could find on the product page. The whole thing looked polished, but it was built without customer evidence or commercial direction.

AI made landing pages cheap to produce, which means the page itself isn't the edge anymore... the decisions behind it are. It can help you find patterns and build faster. It should not invent your strategy from a product description. Today, I want to show you how I'd actually build a 5 Reasons Why page. Let's get into it…

Find the leak. Then give the page one job.

Before anyone writes a word of copy, answer five questions:

1. Who is this page for?

2. What problem are they trying to solve?

3. What did the ad promise them?

4. What skepticism are they showing up with?

5. What exactly should they buy when they reach the shop section?

A good page serves a specific audience with one problem and one buying route. It does not explain your whole company. If you can't state the page's job in one sentence, your prompt is already too vague to produce anything useful. Diagnose the leak before prescribing the page. Strong ad engagement followed by weak conversion is one tell. So is creative sending people to a generic homepage or PDP. Revenue per session usually makes the broken handoff obvious. Weak post-click performance can come from message mismatch, unclear positioning, price shock, weak proof, or a confusing offer. A prettier page does not fix all of those.

Then go straight to the reviews. Pull:

• support tickets

• return reasons

• post-purchase surveys

• ad comments

• Reddit threads

• TikTok comments

• your competitors' three-star reviews.

AI is useful here. Give it the evidence and ask it to find repeated outcomes, objections, phrases, and use cases. That pile of customer language becomes the brief... AI should synthesize it, not replace it.

Pick one angle and commit

Here's the hierarchy I use. Start with the value prop, which is what the product is or has. The benefit is what changes for the customer. Then the angle tells you which customer should care and what moment creates the demand.

Take Lundberg rice cakes. The value prop is that they're low-calorie and easy to prepare. The benefit is an on-the-go, zero-bloat snack. The angle is the perfect after-school snack every mom can get behind. Same product, three completely different altitudes. The angle is the only one that tells a writer what argument to make.

The same product can support ten angles, but one page commits to one. "Women 25 to 44" is not an angle. It tells you nothing about what to say. A real angle comes with distinct motivations, language, moments, and objections. AI can surface the possibilities from the evidence. You still have to choose which one is worth building around.

This is why "5 Reasons Why Long-Distance Runners Love Flexpower" beats "5 Reasons Why Flexpower Is Great" every time. The runner page can speak to soreness after long runs, race-week recovery, travel, and skepticism around topical products. The generic page can't talk to anyone because it's trying to talk to everyone.

Build the hero for a stranger

Your hero has to work for someone who has never heard of your brand and clicked out of half-curiosity. Within one glance, they need to know what this is, whether it's for them, what it will do, why they should believe it, and what to do next.

The headline should call out the customer or the problem, then match the promise of the ad that earned the click. "5 Reasons [Persona] Are Switching to [Product]" is useful because it forces specificity. The number is not the hook. The specificity after the number is the hook.

Use the subhead to add what the headline couldn't carry... usually the product or the mechanism. Then make sure the page feels like the ad that earned the click. If the ad used a creator, show that creator. If it featured one SKU in a specific setting, don't swap both when they land.

Get real proof above the fold. "4.8 stars" is decoration. "4.8 stars from 12,000 customers" is proof, assuming the number is real. Give the customer at least one credible reason to believe you.

Generate 27 reasons. Keep five.

You cannot reliably pick the best five reasons if you only generated five. When my team builds these pages, we start by asking what the 27 reasons are that could get somebody to purchase, and then we earn the list down.

Give AI the customer evidence and use it to generate 20 to 27 candidate reasons. Once you have the list, group the overlapping ideas and kill anything that merely restates a product feature. Score what's left.

How often does the reason show up in customer conversations? Does it affect the purchase decision? Is it specific enough to believe? Could a competitor make the same claim word for word? Can you prove it? Does it resolve an objection? Does it matter to this exact persona? Does it continue the promise of the ad?

People don't care about what your product is. They care about what it does for them. The reasons that survive are usually outcomes customers want or objections you can finally kill. Product mechanisms matter when they make either one more believable.

Watch for fake variety. "Easy" and "convenient" are usually the same reason. So are "fits your routine" and "built for real life." Don't mistake synonyms for a stronger page.

Put the strongest and most broadly relevant reason first. Use the middle to deepen belief and answer skepticism. Put something surprising before attention drops. Let the final reason help close the decision. Never bury your best argument at number five.

Use five when five make the case. Use seven only when the extra two add new information. A seven-reason page with two filler sections loses to a five-reason page where every section earns its place. AI can give you the long list. Judgment earns the final five.

Social proof is a layer, not a section

Proof belongs above the fold, throughout the argument, near the shop section, and at the final CTA. One testimonial carousel at the bottom of the page is not a proof strategy.

Runner page, runner testimonials. Attach proof to each reason instead of making five claims and parking all the evidence in a carousel somewhere else.

Talk about the skepticism, not just the praise. Three-star reviews, negative competitor reviews, return reasons, support tickets, and questions under your ads will tell you what the page has to answer before the customer raises it.

Every module has to answer a question

The page should alternate between educating the customer and giving them a path to buy. Don't stack five dense education blocks and hide the product until the bottom.

Comparison charts, How It Works sections, founder stories, certifications, FAQs... none of them belong on the page by default. Add the module only when it answers a question the customer still has. If it doesn't remove skepticism or friction, cut it.

A comparison chart should use factual rows like price per use, ingredients, testing, or guarantee. "Premium quality" is not a comparison. Founder stories and certifications matter only when they add trust. A logo graveyard answers nothing.

The shop section does the closing

The editorial page and the buy box should feel like one journey. Your customer should not scroll past reason five and feel like they landed on a different website.

Show the actual price, exact savings, subscription cadence, and any difference between the first order and renewal. Price per day is a useful framing tool and a terrible hiding place... don't use a low daily number to bury what gets charged today.

Make one-time versus subscription clear. Explain pause and cancel terms. Use bundles when they improve the decision. Skip the preselected checkbox games.

By the time someone reaches the shop section, they should know what the product is, what it costs, what comes with the order, and why they should buy it. The whole point of the page is that those questions are already dead.

The ideal route is usually ad to landing page to checkout. When the page sells one clear product or bundle and there's nothing left to configure, send the customer directly to a preloaded checkout. Just don't skip a real decision like size or flavor to save a click.

Ad to landing page to checkout. Same audience. Same promise. Same product. Same offer.

The ad, page, and checkout are one promise

Your customer arrives with a mental receipt from the ad. Same persona, same problem, same promise, same SKU, same creator, same offer, same price. If the ad is a runner talking about post-marathon soreness and the page opens with a generic packshot and broad wellness copy, you broke the promise before reason one.

Design it mobile first and protect your speed. A beautiful page that loads slowly from Instagram is not finished. Sorry, but shipping a slow page after all this strategy work is lazy and expensive.

Measure the route: scroll depth, CTA clicks, add to cart, checkout start, purchase, revenue per session, and conversion by angle. AI can build variants and read results. It cannot decide what deserves to be tested.

Test the big decisions first. Audience and angle. Hero promise. The five reasons and their order. Proof. Offer. Shop structure. Test the small stuff after those decisions are right. Do not spend a month testing button colors on a page pointed at the wrong customer.

I recommend starting with this process:

1. Find the post-click leak.

2. Choose one audience and problem, then decide the buying route.

3. Collect the customer evidence.

4. Use AI to generate and organize the possible angles and reasons.

5. Keep the five your customers care about and you can prove.

6. Build proof into the argument.

7. Make the offer and buying route obvious.

8. Match the ad, page, and checkout.

9. Test the biggest decisions first.

That's all for this week

I hope today’s newsletter was helpful and gave you some excitement to build your next best-performing landing page. When in doubt, find the leak and plug it with a 5 Reasons Why page, and run it against your existing PDP.

Tonight is Sunday night, so I hope you plan to get a full 9 hours of sleep tonight and have an incredible upcoming week. Take care of yourself as Q4 slowly ramps up... go for a walk, get a good sweat in, drink some water.

I'll see you on Thursday. Same time, same place.

Nik