Sorting Strategies

SortLab includes seven goal presets. Each preset scores products with a different blend of Shopify product data, order history, inventory state, behavioral pixel events, and optional review signals.

How Sorting Works

When a sort runs, SortLab reads the collection's products from its synced product table, calculates a score for each product, applies your overrides, and writes the new product order back to Shopify.

Signals can include:

• Sales and revenue from Shopify order line items.
• Inventory and stock state from product variants and inventory webhooks.
• Pricing and margin from Shopify product and cost data when available.
• Behavioral data such as collection impressions, clicks, page views, add-to-cart events, CTR, and conversion rate.
• Product metadata such as published date, created date, tags, vendor, type, title, and image availability.
• Reviews when review data is available and your plan supports review-based signals.

The Seven Presets

Revenue Maximizer

Revenue Maximizer puts products with strong revenue contribution near the top. It combines revenue, units sold, conversion behavior, and margin so the collection favors products that both sell and contribute meaningful value.

Use it for shop-all pages, main collections, evergreen categories, and any collection where revenue per visitor is the primary goal.

New Arrivals Boost

New Arrivals Boost promotes recently published products so they are not buried behind older bestsellers. After the new product window expires, each product settles into a performance-based position.

Use it for fashion drops, seasonal launches, new-in collections, and stores that add products frequently.

Inventory Clearance

Inventory Clearance identifies products with high inventory and weak recent movement. These products move up so they get more shopper exposure before carrying cost or seasonality becomes a larger problem.

Use it for clearance, end-of-season, overstock, warehouse cleanup, and slow-moving categories.

Balanced Smart Sort

Balanced Smart Sort is the safest default when you want a broad blend. It considers sales, views, margin, and freshness without letting one metric dominate the whole collection.

Use it when you are starting out, when a collection has mixed merchandising goals, or when you want a stable baseline before testing.

Trending Now

Trending Now focuses on short-term momentum. A product gaining sales or engagement in the current lookback window can move up even if its all-time history is modest.

Use it for trend-sensitive categories, social-driven products, flash sales, viral products, and collections where recency matters more than long-term rank.

Customer Favorites

Customer Favorites emphasizes social proof and customer satisfaction signals, including review rating, review count, low return behavior, and repeat purchase behavior when those inputs are available.

Use it for top-rated collections, gift guides, high-consideration categories, and stores with reliable review coverage.

Best Sellers

Best Sellers ranks products by sales volume and order frequency. It is the most predictable preset: products with the strongest unit movement over the lookback window rise first.

Use it when shoppers expect a straightforward best-seller experience or when you want proven winners in the top positions.

Choosing a Strategy

The right answer can differ by collection. For important collections, use A/B testing on Advanced or Enterprise to compare your current strategy against a challenger.

Data Quality Notes

• New stores with little order history should start with Balanced Smart Sort or New Arrivals Boost.
• Stores without product costs can still use Revenue Maximizer, but margin-aware ranking is stronger when cost data exists.
• Behavioral metrics need time and traffic after the web pixel is installed.
• A shorter lookback reacts faster; a longer lookback is more stable.

Next Steps

• Simple Mode - Apply a preset quickly.
• Advanced Mode - Build segmented and weighted rules.
• Scheduling - Automate sorting frequency and lookback windows.