Metric Definition
Merchandising effectiveness
Track from
Collection performance analysis
Collection performance analysis evaluates each product collection on revenue contribution, conversion rate, average order value, and traffic volume. It reveals which product groupings resonate with customers and which underperform, guiding site structure and merchandising decisions.
7 min read
What is collection performance analysis?
Collection performance analysis measures how well each product grouping in your store performs across multiple dimensions. In Shopify, collections are a primary navigation and merchandising tool, acting as curated product pages that group items by category, theme, season, or use case.
The analysis goes beyond simple revenue ranking. A collection might attract strong traffic but convert poorly, suggesting the product assortment or page layout needs attention. Another collection might convert well but attract minimal traffic, indicating an opportunity to promote it more prominently in navigation and marketing.
Collection analysis also informs catalogue strategy. If customer-curated collections (e.g. "gifts under GBP 50") outperform category-based collections (e.g. "accessories"), it suggests customers respond better to use-case navigation than taxonomy-based browsing. This insight should reshape how you structure your site and create future collections.
Compare per-collection conversion rates against the store average. Collections converting significantly below average are either attracting the wrong traffic or presenting products ineffectively.
Key dimensions for collection evaluation
| Dimension | What to measure | Optimisation action |
|---|---|---|
| Revenue contribution | Percentage of total revenue from the collection | Increase visibility for high-revenue collections |
| Conversion rate | Visits to the collection that result in a purchase | Improve product assortment or page layout for low converters |
| Traffic volume | Number of visits to the collection page | Promote underexposed high-converting collections |
| Average order value | AOV of orders originating from the collection | Adjust product mix and cross-sell strategy per collection |
| Bounce rate | Percentage leaving the collection without interaction | Review collection relevance and page design |
How to optimise collection performance
- 1
Curate collections around customer intent
Collections organised by use case (e.g. "work from home essentials") typically outperform pure category pages because they match how customers think about their needs rather than how your warehouse categorises products.
- 2
Optimise product ordering within collections
Place your highest-converting and best-margin products at the top of each collection. Default sort order significantly influences which products customers see and purchase.
- 3
Promote high-converting, low-traffic collections
Collections that convert well but receive little traffic are the lowest-hanging fruit. Feature them in navigation, email campaigns, and on-site banners to drive more visitors to pages that already convert.
- 4
Consolidate or retire underperforming collections
Collections with low traffic, low conversion, and minimal revenue dilute the browsing experience. Merge their products into stronger collections or remove them to simplify navigation.
- 5
Refresh collections seasonally
Update collection imagery, product assortment, and positioning to reflect seasonal trends. A static collection page signals stale inventory to returning visitors.
Related metrics
Product Performance Analysis
Catalogue optimisation
Ecommerce & Marketplace Metrics
Metric Definition
Product performance analysis evaluates each product across revenue, units sold, margin, return rate, and conversion rate. It identifies which products drive value and which underperform, enabling data-driven merchandising, pricing, and inventory decisions.
Top Selling Products Analysis
Best performer tracking
Ecommerce & Marketplace MetricsMetric Definition
Top selling products analysis ranks products by revenue, units sold, or order count to identify the items that drive the most business value. It highlights heroes, rising stars, and declining performers so merchandising teams can act before trends shift.
Store Conversion Rate
Visitor-to-buyer efficiency
Ecommerce & Marketplace MetricsMetric Definition
Store Conversion Rate = (Purchasing Visitors / Total Unique Visitors) x 100
Store conversion rate is the percentage of unique visitors who complete at least one purchase. It is the broadest measure of how effectively your store converts browsing traffic into paying customers and one of the highest-leverage metrics for e-commerce growth.
Gross Merchandise Volume
GMV
Financial MetricsMetric Definition
GMV = Number of Transactions x Average Transaction Value
Gross merchandise volume is the total monetary value of all goods sold through a marketplace, ecommerce platform, or payment processing channel over a given period. It represents the full transaction value before deducting fees, returns, discounts, and taxes. GMV is the primary scale metric for marketplaces and platforms because it captures the total economic activity flowing through the business, regardless of how much the platform retains as revenue.
Make every collection earn its place
Build a metric tree that evaluates each collection on revenue, conversion, traffic, and AOV so your merchandising team can optimise product groupings and site navigation for maximum impact.
