RankFlo optimizes your Shopify collections by intelligently ranking products based on multiple factors. Follow these steps to configure your first collection.
Set elimination criteria
Filter out products that don't meet minimum requirements
Adjust ranking weights
Prioritize what matters most for your store
Apply boost multipliers
Give extra visibility to specific products
Configure repetition avoidance
Create diverse, browsable collections
Set status & frequency
Go live and choose how often rankings refresh
Monitor & iterate
Track performance and refine your strategy
Filter out products that don't meet minimum requirements before ranking.
Excludes products that don't have enough size options available in stock.
How it works
If you set this to 50%, a product must have at least 50% of its size variants in stock to be included. Example: A shirt with 5 sizes would need at least 3 sizes in stock.
When to use
Recommended values
Excludes products that have been in your store for longer than a specified number of days.
How it works
Counts from the date the product was first added to your Shopify store. If you set this to 60 days, any product older than 60 days will be filtered out.
When to use
Recommended values
Excludes products that don't have enough inventory to last a minimum number of days based on current sales velocity.
How it works
Calculates how many days of stock you have based on recent sales. Example: If a product sells 10 units/day and you have 100 units in stock, that's 10 days of inventory cover.
When to use
Recommended values
Note: Requires sales history data to calculate sales velocity. New products without sales history may be excluded.
Control which factors are most important when deciding product order. All weights must sum to exactly 100 points.
Smart Rebalancing: When you change one weight, the system automatically adjusts it to maintain a total of 100 points.
How recently the product was added to your store.
How it works
Products added recently get higher scores. The weight determines how much newness affects the final ranking.
When to increase
When to decrease
Recommended values
How much total revenue each product has generated.
How it works
Products that have sold more dollars get higher scores. Based on total cumulative revenue over product lifetime.
When to increase
When to decrease
Recommended values
How often people who view a product end up buying it (conversion rate).
How it works
Conversion rate = (Purchases ÷ Views) × 100%. Products with high conversion rates get higher scores.
When to increase
When to decrease
Recommended values
Note: Requires view and purchase tracking data. New products without history may score lower.
How much customers interact with a product (views, add-to-carts, wishlists).
How it works
Engagement includes: product page views, add-to-cart actions, wishlist additions, shares. Products with more interactions get higher scores.
When to increase
When to decrease
Recommended values
Note: Requires comprehensive tracking of customer interactions.
How many of a product's size variants are currently in stock.
How it works
Percentage of sizes available = (Sizes in stock ÷ Total sizes) × 100%. Products with more sizes available get higher scores.
When to increase
When to decrease
Recommended values
Note: Only relevant for products with multiple size variants.
How many days of inventory you have based on sales velocity.
How it works
Inventory cover = (Current stock ÷ Average daily sales). Products with more days of stock get higher scores.
When to increase
When to decrease
Recommended values
Note: Requires sales history to calculate. New products may score unpredictably.
Amplify the ranking score of products that match specific criteria. They work on top of the base score.
Increases ranking for products of specific types (e.g., 'T-Shirt', 'Dress', 'Sneakers').
How to use
Click 'Edit' to select which product types should get a boost. Products matching selected types will rank higher.
When to use
Example
In a 'Summer Collection,' boost Product Types: Tank Top, Shorts, Sandals
Increases ranking for products from specific brands or suppliers.
How to use
Click 'Edit' to see all vendors in your store. Select vendors whose products should rank higher.
When to use
Example
Boost vendors 'Nike' and 'Adidas' in an athletic collection
Increases ranking for products with specific tags.
How to use
Click 'Edit' to see all product tags. Select tags that should receive ranking boosts.
When to use
Example
Boost tags 'bestseller' and 'trending' to surface popular items
Increases ranking for products within specific price brackets.
How to use
Click 'Edit' to see price ranges based on your inventory. Select price ranges to prioritize.
When to use
Example
Boost '$50-$100' price range for value-focused collections
Increases ranking for products with specific discount levels.
How to use
Click 'Edit' to see discount ranges. Select discount levels to feature.
When to use
Example
Boost '30-50% off' range during a summer clearance event
Reduces the ranking of products that share too many characteristics with products ranked just before them. Creates more diverse, interesting collections.
Prevents showing too many of the same product type in a row.
How it works
If two T-shirts appear consecutively, the second one gets a score penalty. Higher values = stronger penalty = more variety.
Recommended values
Prevents showing too many products from the same price range consecutively.
How it works
Penalizes products that fall in the same price bracket as the previous product. Creates price diversity in the collection display.
Recommended values
Prevents clustering products with similar discount levels.
How it works
Spreads out sale items vs. full-price items. Avoids showing all discounted products together.
Recommended values
Prevents showing too many products from the same brand/vendor consecutively.
How it works
Penalizes products from the same vendor appearing back-to-back. Encourages brand diversity in display.
Recommended values
Collection ranking is active and updating automatically. Products are ranked and sorted according to your configuration.
Collection ranking is configured but not published. Use this to preview and refine settings before going live.
Collection ranking is disabled. Products appear in their default Shopify order.
How often the collection should automatically re-rank based on updated product data.
How it works
System checks for changes in product metrics (sales, inventory, views, etc.) and re-calculates ranking scores in the background.
Recommended values
Start with Test mode
Preview your ranking before going live to avoid surprises
Make incremental changes
Adjust one factor at a time so you can track what works
Monitor after changes
Check collection performance within 24-48 hours of changes
Update seasonally
Adjust weights and boosts for holidays, sales, and new seasons
Use boosts strategically
Boost multipliers are powerful — use them for promotions, not defaults
Balance your weights
Avoid putting all weight on one factor — diversity leads to better results