When I first looked into using Shopify Script Editor for dynamic content — like recommended products or related blog posts — I assumed it could control what users see across the storefront.It turns out, that’s not exactly how it works.So in this post, I want to share what Script Editor actually does, what it doesn’t do, and how I approach dynamic content display in real Shopify projects.If you’re trying to personalize product recommendations or blog sections, this will save you some trial and error.


First: What Script Editor Is Really For

Shopify Script Editor (Shopify Plus only) is built for cart and checkout customization.You can use it to:

  • Create complex discount logic
  • Control shipping methods
  • Hide or reorder payment gateways
  • Apply tiered pricing logic

It runs server-side during cart and checkout.That means:It does NOT control what appears on product pages, collection pages, or blog pages.This is the biggest misconception.If your goal is to dynamically show recommended products or articles on the storefront, Script Editor is not the main tool.


So How Do I Actually Customize Dynamic Content?

For storefront dynamic content, I rely on three main layers:

  1. Liquid (theme logic)
  2. Shopify’s Product Recommendations API
  3. Search & Discovery app (for structured control)

Let’s break this down in a practical way.


Most modern Shopify themes (Online Store 2.0) already include a “Related Products” or “You May Also Like” section.Behind the scenes, this uses Shopify’s recommendation engine.If I want more control, I:

  • Edit the product.json template
  • Modify the product-recommendations.liquid section
  • Or create a custom section

Basic example:{% section 'product-recommendations' %}If I want manual control, I:

  • Use metafields to define related products
  • Or configure complementary products via Search & Discovery

My approach depends on scale:

  • Large catalog → let Shopify’s algorithm handle it
  • Curated brand → manually assign complementary products

Dynamic Blog Recommendations

For blogs, the logic is simpler.Shopify exposes blog objects in Liquid, so you can dynamically show:

  • Latest posts
  • Posts from the same blog
  • Posts sharing tags

Example:{% for article in blog.articles limit:4 %}
<!-- render article card -->
{% endfor %}If I want “related articles by tag”, I loop through article.tags and filter.This runs when the page renders, so it’s dynamic but still theme-based.No Script Editor involved.


Recently Viewed Products (Client-Side Personalization)

This is where things get more interesting.If I want to show:

  • Recently viewed products
  • Personalized browsing memory
  • Behavior-based display

I use:

  • JavaScript
  • localStorage
  • A small Liquid snippet to render stored handles

This is purely frontend logic.It gives you a lightweight personalization layer without needing external apps.


Where Script Editor Does Fit Into the Strategy

Even though Script Editor can’t control content blocks, I sometimes combine it strategically.Example:

  • Show complementary products on the product page
  • Then apply automatic bundle discounts in checkout using Scripts

So the frontend influences what the customer adds,and Script Editor influences pricing behavior once items hit the cart.That’s where it becomes powerful.


Important Note: Script Editor Is Being Phased Out

Shopify is gradually replacing Scripts with Shopify Functions.If you’re building something new today, I’d recommend:

  • Use Liquid + theme customization for display logic
  • Use Shopify Functions for pricing/discount logic

Future-proofing matters.


How I Decide What Tool to Use

Here’s my simplified decision framework:If the goal is about what users SEE on storefront →Use Liquid, theme sections, metafields, APIs.If the goal is about how pricing/checkout BEHAVES →Use Scripts (Plus) or Shopify Functions.Trying to use Script Editor for storefront personalization usually leads to frustration because it simply wasn’t designed for that layer.


Final Thoughts

Dynamic content is one of the easiest conversion lifts you can implement in Shopify.Even small changes like:

  • Better complementary product logic
  • Smart blog linking
  • Recently viewed products
  • Tag-based recommendations

can improve session depth and AOV.