Release Notes / Spring 2026
Collections Analytics: Which Collections Actually Drive Revenue. And Which Don't.
Anastasia Bezuglaya
By Stacy
May 07 2026
2 min to read
Time to read
When we launched Product Performance Analytics in Searchanise Search&Filter for Shopify, the same follow-up request kept coming from merchants: "Can you do the same for collections?" Search and product analytics had given them a vocabulary for talking about performance — conversion rates, click-through rates, revenue per query. Collections Analytics is our answer.

Four reports, four questions you can finally answer

Collections Analytics gives you a dedicated reporting section under Analytics in your Searchanise Search&Filter admin. Each report answers one specific question:

1. Which collections are converting?

Views, product clicks, conversion rate, and revenue for every collection. The collection that gets the most views isn't always the one that drives the most revenue — and now you can see the difference at a glance.

2. Which filters do shoppers actually use?

If you've added 12 filters to your "Men's Footwear" collection and only three are being used, you're cluttering the experience. The Filters report shows you which ones earn their place.

3. Which values are shoppers selecting most?

Not just "shoppers use the Color filter" — but "shoppers in this collection are selecting Black and Navy three times as often as anything else." Actionable inventory and merchandising data.

4. Which filter combinations close the sale?

The Combinations report shows what your most decisive shoppers do — narrowing down with two or three filters before clicking buy. "Size: Medium + Material: Cotton + Color: White" isn't a filter pattern; it's a customer profile worth building a campaign around.

One smart detail: all four reports respect whatever filter logic you've configured for each collection. If you've reordered filters or hidden specific values, the analytics reflect what shoppers actually saw — not the raw catalog underneath.
analytics
Collections Analytics

How it fits with the rest of your analytics

Collections Analytics is the third major analytics release in six months, and it's designed to slot into a fuller picture.

Search Query Analytics (March 2026) tells you what shoppers are looking for and which queries close the sale.
Product Performance Analytics (March 2026) tells you which products perform best in search.
Collections Analytics (May 2026) closes the loop by showing you what happens when shoppers browse rather than search.

Together, the three give you a full-funnel read on product discovery: search → browse → purchase. See our full Analytics on Shopify wiki.

Getting the most from Collections Analytics

Open the reports with a question, not a browse.

"Which collections am I featuring on the homepage that aren't converting?" produces useful answers. Browsing the data without a question produces the feeling of insight without the insight itself.

Compare conversion rate per view, not just traffic.

A small, well-merchandised collection at 4% conversion is doing more work than a sprawling one at 1%.

Re-check the data after every merchandising change.

Reordering filters, hiding values, adding a collection — all of these move the numbers. A reading before and two weeks after each change tells you which kinds of changes actually move conversion.

Get started

If you're already using Searchanise Search&Filter, Collections Analytics is live in your admin now — open AnalyticsCollections to see your first reports. The only prerequisite is having Filters on Collections enabled. Data populates from the moment the feature switches on — so the sooner you turn it on, the sooner you have a baseline.

Evaluating Searchanise? This is the kind of view you can't get from Shopify's native reporting alone — and it's available on every plan, including Free. Install the app and turn on Filters on Collections to see the reports running on your own catalog within minutes.
Try 14-days free!
Stacy
Stacy is a content creator at Searchanise. Her professional areas of interest are SaaS solutions and ecommerce. Stacy believes that quality content must be valuable for readers and achieve business goals. When she is not busy writing, which does not happen often, she reads passionately, both fiction and non-fiction literature.
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