Cartalyst Cartalyst Start trial

Shopify case study examples

How Cartalyst shows what shoppers almost bought

These example scenarios show how Cartalyst can help merchants turn add-to-cart, removed-product, search, and bundle signals into practical decisions. They are examples, not customer results.

Install on Shopify View homepage
Fashion store example

The product everyone adds but few buy

Signal

High add-to-cart intent, weak order follow-through

Situation

A Shopify fashion store is sending paid traffic to a linen dress collection. One dress gets strong product views and add-to-cart activity, but purchase follow-through is weak.

What Cartalyst could show

Cartalyst could rank the dress as a cart leak because add-to-cart volume is high while checkout starts and paid orders lag behind.

What to check next

  • Size guide clarity and fit expectations
  • Variant labels, product photos, and stock availability
  • Shipping cost, delivery timing, and return promise visibility
  • Price comparison against similar products nearby

Why it matters

The store may not need more traffic first. It may need to remove uncertainty around the product shoppers already want.

Beauty store example

The search term with no useful result

Signal

Repeated zero-result or weak-result searches

Situation

A beauty store sells cleansers, minis, and travel bundles. Shoppers repeatedly search for "travel size cleanser", but the storefront search returns no result or poor matches.

What Cartalyst could show

Cartalyst could surface the term in the search gaps report, showing search count, zero-result count, and whether the signal is repeated by multiple shoppers.

What to check next

  • Product titles and descriptions for shopper language
  • Search synonyms for "mini", "travel", and "sample"
  • Collection tags and product filters
  • Whether a small bundle or landing collection should exist

Why it matters

Search gaps are demand signals. If shoppers ask for a product path and the store gives them nothing useful, revenue can disappear before cart activity starts.

Home goods store example

The bundle shoppers build themselves

Signal

Frequent cart pair, weak paired purchases

Situation

A home goods store notices candles and ceramic holders often appear together in carts. Orders, however, rarely include both products together.

What Cartalyst could show

Cartalyst could identify the pair as a bundle opportunity because shoppers consider the items together, but the paired purchase does not consistently happen.

What to check next

  • Product-page cross-sells and cart recommendations
  • Bundle pricing or gift-set positioning
  • Whether the two products have compatible variants
  • Cart-page messaging around gifting, size, or fit

Why it matters

The shopper is already building the bundle. The merchant can make that path easier, clearer, and more attractive.

Try it on your store

Find the product intent your standard reports miss

Cartalyst installs from the Shopify App Store and turns consented storefront events into product, search, and bundle reports.

Start 14-day trial