A $500 Shopify theme can be cheaper than a free one.
Free, paid or built with AI? I wouldn’t choose a theme on price alone.
This week: what a theme really costs, whether AI tools can access your store, what Shopify’s Meta move means, and when to push your fall collection.
🐙 One quick thing before we get into today’s issue: something called the Octopus Method starts today. There’s one idea behind it that made me look at follow-up completely differently. I’ll show you what I mean further down.
The price is only one part of the theme decision.
What exactly are you buying for $500?
A $500 Shopify theme sounds expensive when Shopify offers free themes and Claude can generate a missing feature in minutes.
But $500 upfront is the wrong number to focus on.
A premium theme might already include filtering, swatches, a sticky cart and more flexible product pages. Recreating that setup with several apps and occasional developer work can easily cost more over time.
For a store with twenty products, though, Shopify’s free theme may already do everything you need. In that case, paying $500 could mostly give you more settings to manage.
A free theme gives you a solid Shopify-maintained foundation.
A premium theme gives you more functionality out of the box, more page options, ongoing updates and someone to contact when something breaks.
An AI-built theme gives you more freedom, often for very little upfront cost. But the code, testing and maintenance are still yours.
But “AI built it” is not a maintenance plan.
When an app breaks the code or mobile conversion drops, you still need someone to find and fix the problem. That work has a cost.
AI makes development cheaper. It does not make ownership disappear.
Before paying for a theme, I’d ask one question:
What work disappears after we install it?
Can you remove apps? Build landing pages faster? Avoid developer work? If the free theme already covers what you need, save the $500. If you only need one missing section, build that.
Pay for the premium theme when it removes more work than it creates.
Don’t buy the theme that looks best in a demo. Buy the one your team can run after launch.
A July census looked at the robots.txt files of the Tranco top 100,000 domains. Of the 54,771 sites with a readable file, 19.1% blocked at least one of 21 tracked AI crawlers.
If an AI search crawler can’t access your product or policy pages, those pages may be missing when the tool answers a shopper’s question.
Not every AI crawler does the same job. Some collect training data. Others fetch current pages for answers. Blocking one can be a deliberate choice. Blocking all of them without checking is careless.
Check robots.txt, your CDN and firewall rules. An old setting may be making that decision for you.
Allowing a crawler in won’t guarantee a mention. But blocking it can take you out of the running.
My advice: ask whoever manages your site which AI crawlers are blocked and why. Keep the blocks you actually want. Remove the accidental ones.
Shopify now lets eligible merchants sell through Meta surfaces such as Muse. Product data comes from Shopify Catalog. With direct checkout enabled, a customer can complete an order there using Shopify’s checkout infrastructure. Shop Pay may also be available.
The order appears in Shopify. You still handle fulfilment, returns and customer service.
Amazon made a different call. It blocked Muse from browsing and buying on Amazon.
Here’s why I’d pay attention: a customer may discover your product, get a recommendation and buy without visiting your storefront.
If your product data or policies are unclear outside your own site, fix them. And check how you’ll track an order that starts elsewhere.
Check in Shopify: open Sales channels → Agentic. See what’s active. Then review your product data, policies and tracking as if the buyer never saw your homepage.
What our data and research say about fall fashion
Google Trends, United States, web search, past five years. Search interest is directional and is not sales data.
We looked at our own data and research, including five years of Google Trends search interest in the US. “Fall fashion” usually peaks around late August or early September. By October, it starts to ease.
That peak is behind us. Interest hasn’t disappeared, but “Christmas fashion” is starting to climb.
If you still have a fall collection to push, do it now. Don’t wait until the holiday campaigns are already filling inboxes.
If stock needs to move, consider a controlled offer. Decide what you’re willing to discount before you launch it.
Halloween is one last useful fall moment. After that, I’d turn the merchandising and email calendar toward holiday.
One caveat: Google Trends measures search interest, not sales. I’d use it to choose timing, not forecast revenue.
Do this now: plan the fall push, decide whether it needs an offer, and get your holiday campaign ready to take over after Halloween.
Octopus Method workshop starts today
One thing I’ve been digging into lately is how much money most businesses leave on the table simply because their follow-up channels don’t work together.
Email, SMS, retargeting, AI voice, DMs, chat... most companies have some of these, but almost nobody orchestrates them as one system.
Perry Belcher is starting a training on this today called The Octopus Method, and if you’re interested in AI, automation or building better revenue systems, I think it’s worth checking out.
Three checks before you move on
Theme: what ongoing cost or developer work will it remove?
AI access: are you blocking the crawlers you actually want to reach your store?
Calendar: is your fall push planned, or are you leaving it until October?
Which one needs your attention? Hit reply and tell me.
Corné
Emercify
P.S. See you later today during our live stream for 🐙 The Octopus Method.
