Article

Shopify Product Performance: Stars, Gems, and Bottlenecks (2026)

Average conversion rate hides everything. Product segmentation with an 8-category framework shows which products to promote, which to fix, and which to drop from your catalog.

Muhammed Tüfekyapan

Muhammed Tüfekyapan

11 min read

Key Takeaways

  • 1 Aggregate metrics hide product-level outliers - a 2% store average can include products at 8% and others at 0.3%.
  • 2 The 8-category framework segments products into Stars, Essentials, Gems, Bottlenecks, Prospects, Underperformers, Invisibles, and Stoppers.
  • 3 Stars need protection and prominence, not discounting - they already convert at full price.
  • 4 Gems are your best growth opportunity - high conversion rate but low traffic means they just need more eyeballs.
  • 5 Bottlenecks need page fixes, not discounts - a lower price will not fix bad images, missing reviews, or slow load times.
  • 6 Growth Suite auto-classifies every product into 8 segments and feeds the data into Product Deals for targeted promotions.

Your store has a 2% conversion rate. But that number hides everything. Shopify product analytics reveal the real story - some products convert at 8% while others sit at 0.3%.

This guide shows you how to use shopify product performance data to classify every product. You will find your Stars, discover hidden Gems, and fix your Bottlenecks.

Most merchants look at overall store metrics. They see revenue, sessions, and average conversion rate. But these averages hide your best opportunities. An ecommerce product analysis at the individual product level changes everything. It shows you exactly where to invest your time, ads, and promotions.


Why Aggregate Metrics Hide Your Best Opportunities

Your overall conversion rate is an average. A 2% store-wide rate might include products converting at 8% and others dragging along at 0.3%. Shopify product analytics break this average into actionable segments.

You cannot optimize what you cannot see. When you only look at store-level data, you treat every product the same. That is a mistake. Proper shopify product performance tracking starts at the individual product level.

Revenue Rankings Are Misleading

Shopify shows your top products by revenue. But revenue alone does not tell the full story. Consider two products that each earn $5,000 per month.

Product A gets 10,000 page views to earn that $5,000. Product B gets 1,000 page views. Product B converts 10 times better. Yet they look identical on a revenue report.

Revenue rankings reward traffic, not conversion efficiency. A shopify product report that combines traffic volume with add-to-cart rate tells a different story. It shows you which products actually perform well and which just receive more visitors.

Without shopify product performance data at the individual level, you might pour ad budget into a product that converts poorly. Meanwhile, a high-converting product sits buried on page 3 of your collections.

Key Insight: Your store's 2% conversion rate is an average. It includes products at 8% that nobody finds and products at 0.3% that get all your ad traffic.


The Product Segmentation Framework

Product segmentation ecommerce uses two dimensions to classify every item in your catalog. The first is traffic volume - how many people view the product. The second is add-to-cart (ATC) rate relative to your store average.

These two dimensions create three zones and eight categories. This shopify product analytics framework is far more useful than simply sorting by "best sellers" and "everything else."

The Three Zones

Powerhouse Zone (high traffic): These products get significant views. Stars have above-average ATC rates. Essentials have average ATC rates. Bottlenecks have below-average ATC rates.

Gaining Traction (lower traffic): These products get fewer views. Gems convert above average. Prospects convert at average. Underperformers convert below average.

Inactive Zone: Invisibles receive fewer than 100 views in 30 days. Stoppers get 100 or more views but zero add-to-carts. Both need attention.

Category Traffic Level ATC Rate What It Means Recommended Action
Stars High Above average Proven winners with strong demand Feature prominently, never discount
Essentials High Average Reliable performers, room to grow Small incentives, bundles
Bottlenecks High Below average Getting views but not converting Fix page first, not price
Gems Low Above average Convert well but nobody finds them Increase visibility immediately
Prospects Low Average Need more data to judge Test with more traffic
Underperformers Low Below average Low interest, low conversion Deprioritize or improve
Invisibles Very low (<100 views) N/A Not enough data to evaluate Drive traffic or archive
Stoppers 100+ views Zero ATC Something actively wrong Diagnose and fix or remove

Key Insight: Eight categories, not two. Your products are not just "best sellers" and "everything else." Product segmentation ecommerce gives you a clear action plan for each group.

Data-Driven Guide

Shopify Store Analytics: The Data-Driven Conversion Guide

Four reports that actually drive conversion. Funnel analysis, product segmentation, purchase insights, and A/B testing - stop guessing and start making data-backed decisions every week.


Stars and Essentials - Protect Your Best Performers

Stars are your proven winners. They receive high traffic and convert above your store average. These products sell at full price. Feature them prominently in collections and ads.

Do not discount Stars. They already convert well. Discounting them only reduces your margin with no real upside. Your shopify product analytics confirm they do not need price help. Instead, focus on understanding which products to promote shopify stores should prioritize for ad spend.

Essentials: Reliable but Room to Grow

Essentials receive high traffic with average ATC rates. They are reliable performers. Small improvements to their product pages could push them into Star territory.

Essentials work well in bundles. Pair them with complementary products. Use free shipping thresholds to increase order value. These small nudges can move the needle.

A Common Mistake

Many merchants spend their entire ad budget promoting Stars. Stars already get traffic. The better return on your ad spend is often in Gems - products that convert well but nobody sees. Your shopify product report makes this clear.

Tip: Stars sell at full price. Do not discount them. Your growth opportunity is in Gems that convert well but lack visibility.


Gems - Your Hidden Winners

Gems are the most exciting category in any ecommerce product analysis. They have low traffic but above-average ATC rates. These products convert well. The problem is simple - not enough people see them.

This is your best growth opportunity with existing products. No page changes needed. No price reductions. Just more eyeballs. Shopify product performance data makes Gems easy to spot once you know what to look for.

The Math Behind Gems

A Gem at 12% ATC rate with only 50 monthly views adds maybe 6 items to carts each month. Give that same product 500 views. Now you have 60 add-to-carts. Revenue multiplies without any changes to the product page.

One merchant found a product buried on page 3 of their collection. Their shopify product analytics showed a 12% ATC rate on just 80 views. They moved it to the homepage and ran a small ad campaign. Result: $4,000 in extra monthly revenue.

How to Promote Gems

Do not discount Gems first. They need visibility, not a lower price. Use which products to promote shopify data to identify them, then increase their exposure.

Channel Action Effort Impact Example
Collection Move to top of collection Low (5 min) Medium-High Page 3 to page 1
Homepage Add to featured section Low (10 min) High Staff Picks section
Paid Ads Dedicated campaign Medium (1-2 hrs) High Lookalike audience
Email Newsletter feature Medium (30 min) Medium "Hidden gem" spotlight
Cross-Sell Product recommendations Low (10 min) Medium Show alongside Stars

Key Insight: Your best growth opportunity is probably not a new product. It is a Gem already converting well that almost nobody sees. Shopify product performance data reveals these hidden winners.


Bottlenecks and Stoppers - Fix or Remove

Bottlenecks get plenty of traffic but convert below your store average. People find these products. They just do not add them to cart. Your shopify product analytics make this gap obvious.

The instinct is to lower the price. Resist it. A discount on a bad page is wasted money.

Diagnose Before You Discount

Check these five areas first for every Bottleneck:

  • Images: Do they show the product in use? Multiple angles? Lifestyle context?
  • Pricing: Is it competitive with similar products elsewhere?
  • Reviews: Are there enough social proof signals on the page?
  • Description: Is the copy benefit-focused or just a list of specs?
  • Mobile speed: Does the page load fast on phones?

Fix the page first. Then measure for 30 days. The shopify product report will show if your changes worked.

Stoppers: Zero Add-to-Carts

Stoppers are more severe. They receive 100 or more views in 30 days but zero add-to-carts. Something is actively wrong.

Common causes include price far above competitors, misleading images, wrong target audience, or poor product-market fit. Your shopify product performance data flags these products. Review each Stopper carefully.

Your strategy: fix the page and measure for 30 days. If still zero add-to-carts, redirect that traffic to products that actually convert. Your shopify product analytics will confirm whether changes worked. Do not keep sending visitors to a dead end.

Warning: A discount will not fix a bad product page. If a product gets 500 views and zero add-to-carts, the problem is not the price. Fix the page first.


Using Product Data to Inform Your Discount Strategy

Now you know your product segments. How does this shape your discount strategy? The answer is simple - different categories need different approaches. Shopify product performance data tells you exactly which products to promote shopify merchants should discount and which they should not.

Rules by Category

Effective product segmentation ecommerce strategy assigns a clear discount rule to each category. Here is how to approach each one.

Stars: Never discount. They sell at full price. Feature them in collections and ads instead.

Gems: Promote first, not discount. They need visibility. If you want to test demand at scale, a small targeted discount is OK - but only after increasing traffic.

Essentials: Use small incentives. Bundles, free shipping thresholds, and add-on offers can push Essentials toward Star performance.

Bottlenecks: Fix the page, not the price. A discount addresses the wrong problem when the page itself underperforms.

Stoppers: Do not discount. Fix or remove. Nothing works until the underlying issue is resolved.

Product Deals with Growth Suite

Growth Suite's Product Deals feature can auto-select Gems, Prospects, and Stoppers for targeted deals. It supports up to 50 products with dynamic pricing and smart rotation. This means your ecommerce product analysis directly feeds your promotion strategy.

Category Discount Strategy Why Example
Stars Never discount Already sell at full price Feature in collections instead
Gems Promote first, then test Need visibility, not lower price Move to homepage, run ads
Essentials Small incentives Bundle and threshold deals Free shipping at $75
Bottlenecks Fix page first Price is not the problem Update images and reviews
Stoppers Do not discount Nothing works until page is fixed Fix or remove from catalog

Key Insight: Discounting Stars wastes margin. Discounting Bottlenecks addresses the wrong problem. Smart discounting is informed by shopify product performance data, not gut feelings.


How Growth Suite's Product Report Works

Growth Suite automatically classifies every product in your store into eight segments. You do not need spreadsheets or manual calculations. The shopify product report updates based on real traffic and ATC data. It is the fastest way to run a complete shopify product performance review.

Metrics Tracked

The shopify product analytics report tracks six key metrics for each product: page views, unique visitors, add-to-cart events, purchases, quantity sold, and revenue. You can export everything to CSV for deeper ecommerce product analysis in a spreadsheet.

Foundation for Product Deals

The Product Report feeds directly into Growth Suite's Product Deals feature. It answers which products to promote shopify merchants should focus on. It auto-selects up to 50 products from Gems, Prospects, and Stoppers. Each product gets a unique discount rate and duration based on its segment. Smart rotation keeps deals fresh.

Products shift categories over time. A Gem that gets featured on your homepage may become a Star. A Star with seasonal demand might drop to Essential in the off-season. Review your shopify product analytics monthly to catch these shifts. Consistent product segmentation ecommerce reviews keep your strategy current.

Tip: Growth Suite's Product Report classifies every product automatically. You see Stars, Gems, and Bottlenecks at a glance. Product Deals can then promote your Gems with targeted offers - no manual work needed.


Comparison Guide

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References & Sources

Research and data backing this article

1

Ecommerce Conversion Rate: How To Improve Yours

Shopify 2025
2

E-Commerce Product Page Usability

Baymard Institute 2025
3

The Future of Personalization and How to Get Ready for It

McKinsey & Company 2025
4

E-commerce Worldwide - Statistics and Facts

Statista 2025
5

Designing for Different Types of E-Commerce Shoppers

Nielsen Norman Group 2025
Written by
Muhammed Tüfekyapan - Founder of Growth Suite

Muhammed Tüfekyapan

Founder of Growth Suite

Published Author 100+ Brands Consulted Founder, Growth Suite

Muhammed Tüfekyapan is a growth marketing expert and the founder of Growth Suite, an AI-powered Shopify app trusted by over 300 stores across 40+ countries. With a career in data-driven e-commerce optimization that began in 2012, he has established himself as a leading authority in the field.

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Frequently Asked Questions

Common questions about this topic

What is product segmentation in ecommerce?
Product segmentation is the process of classifying every product in your catalog based on performance data. Instead of sorting products only by revenue, you use two dimensions - traffic volume and add-to-cart rate - to create meaningful categories. Each category tells you a different story and demands a different action. This approach replaces the simple best sellers versus everything else view with a framework you can actually act on.
How do I find my best-performing Shopify products?
Look beyond revenue rankings. A product generating $5,000 per month with 1,000 views performs very differently from one earning $5,000 with 10,000 views. Combine traffic volume with add-to-cart rate to find your true Stars. Shopify product analytics at the individual level show which products convert well, not just which ones get the most visits.
What is a product Star vs a Gem?
A Star has high traffic and above-average add-to-cart rate. It is a proven winner that people find and buy. A Gem also has an above-average add-to-cart rate, but it gets low traffic. Gems convert well when someone sees them - the problem is almost nobody does. Stars need protection. Gems need visibility.
Should I discount my best-selling products?
No. Your Stars already sell at full price. Discounting them only reduces your margin without increasing conversion. Dedicated buyers will purchase anyway. Instead, feature Stars prominently in collections and ads. Save your discounts for product categories that actually need a nudge, like Essentials or carefully selected Gems after you have promoted them first.
What are Bottleneck products and how do I fix them?
Bottleneck products get plenty of traffic but convert below your store average. Visitors find them and leave without adding to cart. Check five areas before changing anything: product images, competitive pricing, reviews and social proof, benefit-focused descriptions, and mobile page speed. Fix the page first, then measure for 30 days. A discount will not solve a bad product page.
How do I identify underperforming products?
Underperformers have both low traffic and below-average add-to-cart rates. They sit in the lower corner of the segmentation matrix. Stoppers are even worse - they get 100 or more views but zero add-to-carts. For both, audit the product page carefully. If fixes do not improve results after 30 days, consider redirecting that traffic to products that actually convert.
What metrics matter for product performance?
Six metrics give you a complete product-level picture: total page views, unique visitors, add-to-cart events, unique purchasers, total quantity sold, and total revenue. The two most important for segmentation are traffic volume and add-to-cart rate relative to your store average. These two dimensions create the 8-category framework that guides your strategy.
How do I use product data to plan discounts?
Each product category has a different discount rule. Stars never get discounts. Gems need promotion first, not price cuts. Essentials benefit from small incentives like bundles or free shipping thresholds. Bottlenecks need page fixes before any discount. Stoppers should be fixed or removed entirely. Product data replaces guesswork with a clear strategy for each segment.
What is the 8-category product framework?
The framework uses traffic volume and add-to-cart rate to classify products into eight categories across three zones. The Powerhouse Zone includes Stars, Essentials, and Bottlenecks. The Gaining Traction Zone includes Gems, Prospects, and Underperformers. The Inactive Zone includes Invisibles and Stoppers. Each category has a specific recommended action, from featuring prominently to fixing or removing.
How does Growth Suite classify products?
Growth Suite's Product Report automatically reads your store data and assigns every product to one of the eight segments. It tracks page views, unique visitors, add-to-cart events, purchases, quantity sold, and revenue per product. No spreadsheets or manual calculations needed. The report also feeds into Product Deals, which can auto-select Gems, Prospects, and Stoppers for targeted deal rotation with dynamic pricing.
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