r/shopifyDev

Hi everyone,

I’ve been focused on Shopify development for about 6 months now, and I feel pretty comfortable working with Liquid, JS, and more advanced theme customizations. I’ve also been integrating AI tools (like Claude) into my workflow to move faster and build more complex things.

With the current boom (AI + e-commerce), I can’t help but feel like I’m missing an opportunity to start generating some income on the side while still working my full-time job.

I feel like I have the foundation to build something useful or monetizable, but I’m not sure where to focus.

I’d love to hear general recommendations from people in this space:

Where are you seeing the most opportunities right now as devs?

Thanks 🙏

Spent years on product teams watching marketing burn budget sending hyper-targeted traffic to completely generic pages. Someone clicks "Shopify app for high-volume stores" and lands on..."Welcome to our platform." Brutal.

Here's what actually moves the needle:

• Match your headline to the UTM campaign, not just the product
• Swap CTAs based on audience segment - agencies need different hooks than solo merchants
• Use keyword-level copy changes, not just page-level
• Don't forget non-ad links - newsletter, podcast bios, collab posts all carry intent signals too

And honestly, most Shopify store builders I've worked with never touch this stuff. It's low-hanging fruit.

I'm building something that handles this dynamically - curious if others have tackled it natively in Shopify or leaned on external tools.

A few genuine questions:

• How are you currently handling landing page personalization for paid traffic?
• Are you using UTM data beyond just analytics?
• What's broken about the tools you've tried?

hey guys i need a small help building an app if anyone who can handle the following stack could be. great like typescript, JavaScript, react, remix, prisma

I’ve been experimenting with how LLMs (ChatGPT, Gemini, etc.) interpret Shopify product data, and I’m noticing some gaps.

Out of the box, most product data is pretty unstructured:

- title

- description (free text)

- tags (inconsistent)

When you try to query products through an LLM (or simulate recommendations), it seems like they struggle unless the data is very explicit (materials, use-case, context, etc.).

Curious how others are thinking about this:

- Are you structuring product data differently for AI use cases?

- Are metafields enough, or do we need more standardized schemas?

- Has anyone experimented with generating structured attributes automatically?

Feels like Shopify data wasn’t really designed with LLM consumption in mind.

Would love to hear how others are approaching this.

https://preview.redd.it/cebiils3mjug1.png?width=1908&format=png&auto=webp&s=26a10e69eb4cbd3a6d2f361647d4ebf75347e814

Is there any problem here? Should I wait or do something. Review is not started yet.