Rank Metafields is a new Enterprise feature that writes live product ranking data to your Shopify store as native metafields. No custom API work, no third-party integrations, no developer gymnastics. The data just shows up where your products live and works with everything Shopify already supports.

What Gets Written

For every product in your catalog, Dynasort writes three values:

dynasort.rank_position is your product’s numeric rank within the catalog. Position 1 means this product scores highest according to your sorting recipe. Higher numbers mean lower relative performance.

dynasort.rank_score is the raw weighted composite score that your sorting recipe generates — a combination of revenue, margin, inventory velocity, conversion rate, review scores, and any custom attributes you have configured. This is the actual number Dynasort uses to rank products internally, now surfaced on the product itself.

dynasort.rank_percentile is a 0 to 100 score where 100 means top of catalog and 0 means bottom. This is the number most useful for display logic, conditional rules, and customer-facing copy — it is intuitive to read and easy to build against.

All three are standard Shopify number_integer metafields in the dynasort namespace. They behave identically to any other Shopify metafield, which means they work with themes, Shopify Flow, third-party apps, headless storefronts, and any other system that reads product data.

What You Can Build With It

Theme-level badges and labels. Use metafield-aware theme blocks to display “Top 10% This Week,” “Ranked #3 in Running Shoes,” or any rank-based label on product cards and product detail pages. No developer required after initial setup — the data updates itself.

Email and SMS personalization. Feed rank percentile into Klaviyo, Omnisend, or any other email platform that reads Shopify product data. Automatically promote products that have climbed into the top tier of your catalog. Stop manually curating “best of” product blocks — let rank data do it.

Smarter ad spend. Pipe rank data into your Google Shopping feed or Meta product catalog to bias spend toward products your algorithm already knows convert. If a product is ranking in the top 20% of your catalog, it is probably worth more ad budget than one sitting at the bottom.

Shopify Flow automations. Trigger workflows based on rank changes. Tag products that fall below the 20th percentile for review. Alert your team when a new product breaks into the top 10. Auto-apply or remove “Trending” tags as rank percentile changes.

Headless and custom storefronts. Sort product grids client-side using pre-computed rank data without making real-time API calls. Build custom “Staff Picks” or “Best Sellers” sections that automatically refresh as rank data updates. Feed percentile into personalization engines or recommendation widgets.

Multi-Recipe Support for Enterprise

Enterprise stores running multiple sorting recipes can opt in per-recipe. Each recipe you opt in adds three metafield keys per product, using the recipe ID as a suffix: rank_position_91, rank_score_91, rank_percentile_91 for recipe 91, and separate keys for each additional recipe.

A store running a “Best Sellers” recipe and a “New Arrivals” recipe gets a complete, multi-dimensional ranking profile on every product — making it possible to build themed sections (“New and Trending,” “Value Picks”) where each uses a different recipe’s data.

Technical Details

Metafields are written via Shopify’s metafieldsSet GraphQL mutation in batches of 24, respecting API rate limits. Data refreshes every hour at :30 past the hour, automatically, with no manual action needed after opt-in. All active, draft, and archived products are covered. Products that have been deleted from Shopify but remain in Dynasort’s catalog are automatically excluded.

Availability

Rank Metafields is an Enterprise feature, available now. Merchants on Demo, Basic, and Pro plans will see the option in their recipe settings clearly marked as Enterprise — so you know exactly what you are unlocking when you upgrade.

Questions or feedback: hello@dynasort.io or in-app chat.

Feature 1: On Sale Option Sorting

If you run a Shopify store and you discount products, you have had this problem: Dynasort sorts your option values by sales, revenue, inventory, or some combination, but it had no way to account for whether a given option was on sale. A red colorway that’s 30% off would sort the same as a full-price red colorway.

That’s fixed.

How it works

Dynasort now automatically detects on-sale option values. An option value (say, “Red” in a Color option) is flagged as on sale if any of its variants have a compare_at_price above the current price. No additional API calls, no extra setup. It uses data already in Dynasort’s pipeline.

When an option is flagged, you get three placement settings per option:

Leave in place keeps things exactly as they were. On-sale options sort normally alongside regular in-stock options. This is the default, so if you do nothing, nothing changes.

Move before in-stock pushes on-sale options to the top of the list, ahead of regular in-stock items. Use this when you want discounts visible immediately: clearance events, sitewide sales, or flash promotions where you want every discounted variant front and center.

Move after in-stock groups on-sale options below regular stock but above sold-out items. Use this when your strategy is full-price first, such as protecting margin on flagship products while still surfacing sale items for shoppers who scroll.

The sort tier logic stacks cleanly with everything else: pinned positions always win, sold-out always goes last, and within each tier, your chosen metric (revenue, sales, inventory, etc.) still determines the order. An orange dot indicator appears in the option value table when on-sale grouping is active, giving you instant visual confirmation of which options are flagged.

The setting is per-option, per-product. You can apply “Move before in-stock” to Color and “Leave in place” to Size on the same product. Automated background re-sorts respect the setting the same way manual saves do.

Feature 2: Auto Merchandise from Anywhere

This one is smaller, but if you spend significant time in your Shopify admin, you’ll feel it immediately.

Dynasort now integrates into Shopify’s native “More Actions” menu on product pages, collection pages, and the collections index. The links are:

Auto Merchandise Product on any product page jumps directly into Dynasort’s controls for that product.

Auto Merchandise Collection on any collection page opens Dynasort’s sorting settings for that collection.

New Managed Collection from the collections index launches straight into the collection creation workflow in Dynasort.

Previously, getting from a specific product or collection in Shopify admin to the corresponding Dynasort controls required opening a separate tab, navigating to Dynasort, and searching for the item. It was a constant context switch for anyone actively managing merchandising. Now it’s one click from wherever you already are.

Available Now

Both features are live for all Dynasort users on every plan tier, including Demo, Basic, Pro, and Enterprise. No upgrade, no additional configuration required beyond enabling On Sale Option Sorting on the products where you want it.

Questions or feedback: hello@dynasort.io or in-app chat.

Homer and the Dynasort Team

Install Dynasort free on the Shopify App Store at dynasort.io

Introduction

What if the order of products on your collection pages was quietly costing you sales every single day?

That’s the question Dynasort answers every month, and February 2026’s data makes the case more clearly than ever. Across over 6.2 million collection page sessions, Shopify stores using Dynasort’s AI-powered sorting consistently and significantly outperformed stores relying on Shopify’s default collection order. We’re not talking about marginal gains. We’re talking about conversion rate improvements north of 64%, cart rates that more than doubled, and meaningful reductions in both bounce and exit rates. These aren’t projections or lab results — they’re real numbers from real stores selling real products to real customers. Let’s break down exactly what happened in February and what it means for your store.

Key Metrics: How Dynasort Collections Performed Against Shopify Defaults

Every month, we compare shopping behavior on Dynasort-sorted collection pages against collection pages using Shopify’s default sorting. Here’s what February’s data showed across four critical metrics.

Conversion Rate (CVR): 64.79% Improvement
Dynasort collections converted at 1.17%, compared to 0.71% on default-sorted collections. That’s a 64.79% lift.

Conversion rate is the bottom line — the percentage of sessions that result in a completed purchase. A higher CVR means more of your existing traffic is turning into paying customers without you spending an additional cent on ads. For a store doing $50,000 a month in revenue, a 64.79% improvement in collection page CVR could represent tens of thousands of dollars in additional annual revenue from the same traffic you’re already paying for.

Cart Rate: 128.57% Improvement
Dynasort collections saw a 6.4% cart rate versus just 2.8% on Shopify default collections — a 128.57% increase.

Cart rate measures the percentage of visitors who add at least one product to their cart. This is arguably the most telling engagement signal on a collection page. It means shoppers are finding products they want faster. When your best-performing, most relevant products surface near the top of a collection, visitors don’t have to scroll and hunt. They see something they like, and they act. More than doubling the cart rate suggests that Dynasort’s sorting algorithm is doing exactly what it’s designed to do: putting the right products in front of the right shoppers at the right time.

Exit Rate: 7.7% Improvement
Exit rate dropped from 66.51% on default collections to 61.39% on Dynasort collections.

Exit rate tells you how often a collection page is the last page a visitor sees before leaving your store entirely. A lower exit rate means shoppers are continuing their journey — clicking into product pages, exploring more of your catalog, moving deeper into your funnel. A 7.7% improvement here means Dynasort collections are doing a better job of keeping shoppers engaged and on-site.

Bounce Rate: 13.91% Improvement
Bounce rate fell from 54.13% to 46.6% on Dynasort-sorted collections.

Bounce rate measures single-page sessions — visitors who land on a collection page and leave without interacting further. High bounce rates on collection pages are often a sign that shoppers aren’t seeing anything compelling above the fold. By intelligently sorting products based on performance signals, Dynasort reduces that friction. A nearly 14% improvement in bounce rate means thousands more visitors each month are sticking around long enough to discover products they want to buy.

Platform Scale: Dynasort by the Numbers

February 2026 reinforced Dynasort’s position as a trusted sorting engine operating at serious scale across the Shopify ecosystem.

• 41,007 collections tracked across all connected stores, with 3,207 collections actively using Dynasort’s AI sorting
• 1,016,023 products managed — over one million individual products organized and optimized by our algorithm
• 1,648,278,946 collection sorts executed in a single month — that’s over 1.6 billion sort operations ensuring products are positioned for maximum performance
• $213,398,562 in catalog revenue managed, meaning Dynasort is actively influencing the merchandising of over $213 million worth of product inventory
• 6,223,020 total collection sessions tracked, providing a massive and statistically robust dataset behind every metric reported above

These aren’t small-sample experiments. This is production-grade AI sorting running at scale across a diverse range of stores, categories, and price points — and the results are consistent month after month.

What This Means for Merchants

If you’re running a Shopify store and you’re still relying on manual sorting, best-selling defaults, or alphabetical order for your collections, February’s data highlights a significant opportunity you’re likely leaving on the table.

You don’t need more traffic — you need smarter merchandising. The stores in this dataset aren’t using some secret ad strategy or viral marketing hack. They’re showing the same products to the same audiences. The difference is which products appear first, second, and third on a collection page. That sequencing has an outsized impact on whether a visitor adds to cart or bounces.

AI sorting compounds over time. Dynasort’s algorithm continuously learns from shopping behavior, seasonality, inventory changes, and conversion patterns. The longer it runs, the better it gets at surfacing the products most likely to convert for your specific store and audience. February’s results reflect months of accumulated learning across the platform.

The setup cost is near zero. Unlike a site redesign, a new ad campaign, or a merchandising hire, enabling Dynasort takes minutes. You install the app, select the collections you want optimized, and the algorithm goes to work. There’s no manual rule-building, no spreadsheet analysis, no guesswork.

Ready to See What Smarter Sorting Can Do for Your Store?

February’s numbers tell a clear story: AI-optimized collection sorting drives more engagement, more add-to-carts, and more conversions from the traffic you already have.

If you’re a Shopify merchant looking for a high-leverage, low-effort way to improve store performance, there’s no reason not to test it for yourself.

Try Dynasort free today →

Your collections are already getting traffic. Let Dynasort make sure that traffic sees the right products first.

If you’ve ever manually reordered color swatches, adjusted size options, or wondered why certain variants get clicked more than others, this feature is built specifically for you.

The Problem: Product Options That Work Against You

Here’s a scenario that plays out thousands of times every day across Shopify stores:

A customer lands on your product page, sees a beautiful hero image, and is ready to buy. They scroll to the color options and see… a sold-out color as the first swatch. Or maybe it’s sorted alphabetically, so “Azure Blue” appears before your best-selling “Black.”

That customer now has to work harder to find what they want. Some will. Many won’t.

This isn’t just a minor inconvenience — it’s a conversion killer. And during high-traffic periods like Black Friday Cyber Monday, when every percentage point matters, these small friction points add up to real revenue loss.

The traditional solution? Manual updates. Ecommerce managers checking inventory levels, reviewing sales data, and manually reordering product options. It’s time-consuming, error-prone, and nearly impossible to maintain across hundreds or thousands of products.

The Solution: Intelligent, Automated Product Sorting

Product Sorting brings the same automated merchandising intelligence you already use for collections directly to your product pages. It continuously monitors your store’s performance data and automatically reorders your product options — colors, sizes, materials, styles — based on what actually drives results.

How It Works

Product Sorting analyzes your store’s real-time data across multiple metrics:

• Sales performance — Best-selling variants appear first
• Inventory levels — Never lead with sold-out options
• Conversion rates — Prioritize variants that convert
• Revenue impact — Highlight your highest-value options
• Stock velocity — Surface fast-moving inventory

The system runs continuously in the background, updating your product option order as your inventory and sales patterns change. No manual intervention required.

Why This Matters Right Now

We’re launching Product Sorting in beta just before Black Friday Cyber Monday for a reason: this is when automated merchandising matters most.

During BFCM, your store experiences:

• Rapid inventory fluctuations — Popular variants sell out in hours, not days
• Shifting demand patterns — Customer preferences change based on promotions and trends
• Higher traffic volume — More customers means more potential friction points
• Time constraints — Your team is handling support, fulfillment, and operations

Product Sorting ensures that every product page is always optimized, even when inventory and demand are changing by the hour. Your customers always see the most relevant, in-stock options first — automatically.

Key Features of Product Sorting (Beta)

Always In-Stock First

The most frustrating customer experience in e-commerce? Clicking on a product only to discover your preferred option is sold out. Product Sorting automatically moves out-of-stock variants to the end of your option lists, ensuring customers always see available inventory first.

This is especially powerful for stores with multiple variants. A dress available in 8 colors and 5 sizes has 40 possible combinations. Without intelligent sorting, customers might click through several sold-out combinations before finding what’s available.

Performance-Ranked Options

Not all variants perform equally. Your black t-shirt might outsell your chartreuse one by 10x. Product Sorting identifies these performance patterns and surfaces your best-sellers first, increasing the likelihood that customers select high-converting options.

This creates a positive feedback loop: high-performing variants get more visibility, leading to even better performance, while underperforming options naturally fall to the bottom of the list.

Real-Time Automation

Unlike manual merchandising, Product Sorting updates continuously. When a variant sells out, it’s automatically deprioritized. When inventory is restocked, it’s automatically re-promoted. When a new color starts trending, it automatically rises in the rankings.

Your product pages stay optimized 24/7, without any manual intervention from your team.

Multi-Metric Intelligence

Product Sorting doesn’t rely on a single metric. It considers multiple factors simultaneously:

• Which variants have the most sales?
• Which have the highest inventory levels?
• Which are trending upward in recent orders?
• Which have the best conversion rates?

This multi-dimensional approach ensures your product options are sorted based on a holistic view of performance, not just one data point.

What “Beta” Means for You

We’re launching Product Sorting as a beta feature because we believe in building with our merchants, not just for them. Here’s what beta means:

Included in Your Plan

Product Sorting is already available in your Dynasort account at no additional cost. No upgrade required, no new billing. Just open Dynasort and navigate to the Products section — it’s ready to use.

We Want Your Feedback

This is the first iteration of Product Sorting, and we’re eager to hear how it works for your store. What metrics matter most to you? What sorting rules would make this even more powerful? What edge cases does your catalog present?

We’re actively developing the roadmap for Product Sorting, and your real-world feedback will directly influence what we build next.

Not Final Yet

Because this is a beta release, you can expect additional features, refinements, and improvements in the coming weeks and months. We’re committed to making Product Sorting the most powerful automated merchandising tool for Shopify product pages, and we’re just getting started.

Getting Started with Product Sorting

Ready to try Product Sorting? Here’s how to get started:

Step 1: Open Dynasort

Log into your Shopify admin and open the Dynasort app. You’ll see a new “Products” section in the navigation.

Step 2: Select Your Products

Choose which products you want to enable Product Sorting for. You can start with a few high-traffic products or enable it store-wide — it’s up to you.

Step 3: Choose Your Sorting Rules

Select which metrics matter most for your store. Want to prioritize in-stock items? Rank by sales? Focus on high-margin variants? Product Sorting lets you customize the logic to match your merchandising strategy.

Step 4: Let It Run

Once enabled, Product Sorting works automatically in the background. Your product options will continuously update based on your store’s real-time performance data.

Step 5: Monitor and Adjust

Check back periodically to see how your products are performing. You can adjust your sorting rules at any time based on what you’re seeing in your data.

Real-World Use Cases

Fashion and Apparel

A clothing brand with products available in 12 colors and 6 sizes. Product Sorting ensures that:

• Popular colors (black, navy, white) appear first
• Sold-out size/color combinations are automatically hidden or deprioritized
• Seasonal colors are promoted when they start trending
• Clearance colors are surfaced when inventory needs to move

Home Goods

A home decor store with products in multiple finishes and sizes. Product Sorting helps:

• Keep bestselling finishes (brushed nickel, matte black) prominent
• Adjust for seasonal trends (warm tones in fall, cool tones in spring)
• Clear out slow-moving inventory by promoting it when strategic
• Ensure customers see in-stock options during high-demand periods

Beauty and Cosmetics

A skincare brand with products in different sizes and formulations. Product Sorting enables:

• Featured sizes (travel size, value size) to rank by performance
• Limited edition variants to be promoted while in stock
• Subscription-eligible options to appear first for customer retention
• Sample sizes to be strategically positioned for first-time buyers

The Bigger Picture: Why Automated Merchandising Matters

Product Sorting is part of a larger shift in e-commerce: the move from manual to automated merchandising.

Traditional merchandising requires constant manual attention. Someone on your team has to monitor sales data, check inventory levels, review analytics, and then manually implement changes across your catalog. This works fine for stores with 50 products. It breaks down at 500. It’s impossible at 5,000.

Automated merchandising solves this by encoding your merchandising strategy into rules that execute automatically. Instead of “check if the black shirt is sold out and move it down,” you set a rule that says “always prioritize in-stock variants” and the system handles it forever.

This isn’t about replacing human judgment — it’s about amplifying it. Your team still sets the strategy and priorities. The automation just handles the execution across your entire catalog, instantly and continuously.

What’s Next for Product Sorting

We’re already working on the next phase of Product Sorting, including:

• Advanced sorting rules — More granular control over how products are ranked
• A/B testing capabilities — Test different sorting strategies to see what drives results
• Custom metric weighting — Fine-tune how much each metric influences sorting
• Product option analytics — Deeper insights into variant performance
• Seasonal and promotional scheduling — Pre-program sorting changes for key events

As a beta user, you’ll get early access to these features as they launch. And your feedback will help shape what we prioritize.

Why We Built This

We built Dynasort because we saw Shopify merchants spending hours on merchandising tasks that should be automated. Collection sorting was just the beginning. Product option sorting was the natural next step.

Every friction point you remove from the customer experience increases conversion rates. Every minute your team saves on manual tasks is time they can spend on strategy, creative, and growth.

Product Sorting is our way of helping Shopify merchants compete at a higher level — not by working harder, but by working smarter.

Try Product Sorting Today

Product Sorting is live now in beta for all Dynasort users. There’s no additional setup, no new billing, and no learning curve if you’re already using Dynasort for collection sorting.

Open Dynasort, navigate to the Products section, and start optimizing your product pages today.

And as you use it, we’d love to hear from you. What’s working? What could be better? What features would make this indispensable for your store?

Hit reply to this email or contact our support team. We’re building Product Sorting with you, not just for you.

Here’s to smarter merchandising and better conversions.

— Homer & the Dynasort Team

Frequently Asked Questions

Q: Is Product Sorting included in my current plan?
A: Yes! Product Sorting is available to all Dynasort users at no additional cost during the beta period.

Q: Will this work with my theme?
A: Product Sorting works with all Shopify themes. It updates the underlying product option order, which your theme then displays.

Q: Can I customize which metrics are prioritized?
A: Absolutely. You can choose which sorting factors matter most for your store and adjust them at any time.

Q: What happens if I don’t like the results?
A: You can disable Product Sorting for any product instantly. You have complete control over where and how it’s used.

Q: How often does Product Sorting update?
A: Product Sorting continuously monitors your store’s data and updates product options in real-time as inventory and performance change.

Q: Will this slow down my store?
A: No. Product Sorting runs in the background and doesn’t impact your store’s page load speed.

Q: Can I use Product Sorting on some products but not others?
A: Yes. You have complete control over which products use Product Sorting and which don’t.

Q: How do I provide feedback?
A: Simply reply to any Dynasort email, contact our support team, or use the feedback option in the app. We read everything and respond quickly.

What Are Flex Attributes?

Flex Attributes enable merchants to create multiple instances of a ranking attribute with unique minimum and maximum values. Merchants can then apply these different versions in separate ranking recipes, allowing for customized ranking strategies that reflect specific collection needs or product types.

• Example: Suppose you use an Inventory Quantity attribute with a range from 20 to 200, which works well for high-value items like luxury watches. However, lower-cost items may have much larger inventory levels. With Flex Attributes, you could create a separate Inventory Quantity attribute with a range of 50 to 1000 for higher-volume items, tailoring ranking for Class A and Class B collections.

Flex Attribute Options:

Once live, Flex Attributes will be available for a variety of standard and advanced criteria, including:

• Standard Attributes:
  • Quantity
  • Full Size Run
  • Sizes In Stock
  • Variants In Stock
  • Product Published Age
  • Product Created Age
  • Age of Newest Variant
  • Product Margin
  • Sales
  • Revenue
  • Product Views
  • Add to Cart Events
• Advanced Attributes:
  • Product Reviews
  • Product Ratings

How Merchants Can Use Flex Attributes:

• Tailor Ranking Recipes by Collection Class: Merchants can create different versions of an attribute, like Inventory Quantity, and apply these versions to different recipes for Class A and Class B collections, ensuring that each collection ranks products according to its specific needs.
• Optimize Product Positioning Across Diverse Catalogs: With Flex Attributes, merchants can apply relevant ranking criteria to different collections, maximizing the relevance and effectiveness of product placements.

Benefits for Merchants:

• Enhanced Customization: Flex Attributes let merchants define precise ranking criteria for each collection type, ensuring optimal visibility for varied inventory.
• Improved Efficiency: Merchants can set up multiple versions of attributes, avoiding manual adjustments for each collection and streamlining collection management.
• Data-Driven Flexibility: Flex Attributes empower merchants to apply relevant data points to each collection, leading to smarter, more effective merchandising strategies.

Looking Ahead:

With Flex Attributes launching in December 2024, merchants will gain unprecedented control over collection ranking, making it easy to adapt recipes to different product types and inventory needs. This feature marks a major step in Dynasort’s mission to bring flexibility, customization, and data-driven insights to Shopify merchants.

What Is Product Boost?

Product Boost gives merchants the ability to add a custom point value to products to influence their ranking within collections. When a collection’s ranking recipe has the Boost Products option enabled, products with a boost score will automatically receive the specified number of points, making them appear higher in the rankings.

• Example: A merchant can assign a Product Boost of 5 points to a key product, which adds 5 points to its ranking score within any collection that has the Boost Products option enabled.

How It Works:

• Boost Score: Merchants can assign a boost score to any product to increase its ranking across all collections.
• Boost Products Enabled: The Product Boost will only apply when the collection’s ranking recipe has the Boost Products option enabled.
• Pro and Enterprise Plans Only: This feature is exclusively available to merchants on our Pro and Enterprise plans, ensuring that advanced users have the tools they need for detailed merchandising control.

How Merchants Can Use Product Boost:

• Elevate Key Products: Merchants can prioritize specific products by adding a boost score, ensuring they appear higher in relevant collections. This is particularly useful during promotions, launches, or when focusing on specific items.
• Flexible Control: With Boost Products enabled in a collection’s ranking recipe, merchants can easily influence which products get more visibility without needing to manually adjust each collection.

Benefits for Merchants:

• Targeted Product Visibility: Merchants can ensure that high-priority products receive the visibility they deserve across collections, especially during important sales periods or product launches.
• Advanced Merchandising Flexibility: By selectively applying Product Boost points, merchants gain more control over product rankings in a way that is scalable across multiple collections.
• Exclusive to Pro and Enterprise Plans: Merchants on our Pro and Enterprise plans have access to this advanced feature, giving them a competitive edge when it comes to managing their store’s product rankings.

Looking Ahead:

The Product Boost feature is now live and available to Pro and Enterprise merchants. As we continue to develop advanced tools for dynamic collection management, Product Boost is another step in giving merchants the flexibility to curate their store in a way that drives sales and increases product visibility.

What Are Metafield Range Values?

With the Metafield Range Values feature, merchants can assign ranking points to products based on a numerical value from a product metafield. Merchants can define a minimum and maximum value for a given product metafield, and products within those values will receive a proportional amount of ranking points.

• Example: If a product has a metafield value of 50, and the Dynasort attribute settings set a range from 20 to 100, products with values below 20 will receive zero points, while products with values of 100 or more will receive full points. Any product values between 20 and 100 will receive a proportional amount of points based on their position within that range.

How Merchants Can Use This Feature:

• Dynamic Product Ranking: Merchants can now use numerical metafield data to dynamically rank products within collections. For example, if you track product scores, ratings, or sales figures via metafields, you can set up a range of values that will directly influence how these products are sorted.
• Customizable Attributes: By defining a minimum and maximum for any numerical metafield, you can fine-tune how much influence these values have over product ranking. This makes it easier to prioritize products based on key performance indicators that matter most to your store.

Benefits for Merchants:

• Data-Driven Merchandising: Metafield Range Values allow merchants to harness specific numerical data to create smarter, more tailored merchandising strategies.
• Precise Control Over Rankings: With the ability to set minimum and maximum ranges, merchants can ensure that products are ranked according to key performance metrics in a proportional and automated way.
• Flexibility and Customization: Merchants can apply this feature across a variety of numerical metafields, allowing for fully customizable sorting recipes that align with their unique business goals.

Looking Ahead:

With the Metafield Range Values feature live, Dynasort continues to provide merchants with more advanced tools for product sorting and collection management. Stay tuned for further updates as we keep adding new ways to enhance your store’s performance through dynamic, data-driven merchandising.

Key Events Tracked with Shopify Web Pixels:

• Page Views: Track when visitors land on any page of your store. This metric helps understand overall traffic and site engagement.
• Product Views: Capture when visitors view individual product pages. Product view data is key for analyzing product interest and driving conversions.
• Collection Views: Track when visitors explore specific collections. This insight is crucial for understanding how well collections are attracting attention and which are underperforming.
• Add to Cart Events: Record when visitors add items to their cart, providing a direct look into shopping intent.
• Checkout Events: Track when visitors enter the checkout flow. Monitoring checkout activity helps identify points of friction in the sales process.

How Dynasort Uses These Metrics:

With these events in place, Dynasort will calculate essential metrics to give merchants a clearer understanding of their store’s performance and areas for optimization.

• Conversion Rate (CVR): Track how effectively your store converts visitors into customers. By analyzing the path from page views to checkout, Dynasort will provide insights on where optimizations can increase conversions.
• Abandon Cart Rate (ACR): Dynasort will monitor how many users add items to their cart but abandon the purchase. Understanding ACR helps merchants target these drop-off points with recovery strategies.
• Collection Bounce Rates: Identify which collections fail to engage visitors. High bounce rates can indicate that visitors are not finding the content or products relevant, signaling opportunities for improvement.
• Collection Exit Rates: Track how often users exit the site after viewing a collection. This data helps evaluate whether collections are engaging enough to keep customers exploring the store.
• First and Last Collection Viewed in Checkout Sessions: By tracking which collections were viewed at the start and end of a completed checkout, Dynasort will offer insights into the product journeys that lead to successful purchases. This data can be leveraged to optimize collection placement and improve customer flow through the store.

What This Means for Merchants

• Enhanced Tracking: Merchants will gain better visibility into customer behavior across collections and products, helping them understand key moments in the purchasing journey.
• Data-Driven Optimization: With metrics like CVR, ACR, and bounce rates at your fingertips, you’ll have the insights needed to make data-driven decisions, improving merchandising and product placement.
• Smarter Collection Management: Track and analyze the first and last collections viewed in completed checkout sessions, enabling better optimization of collection visibility.

Looking Forward: Next Steps in Our Roadmap

The integration of Shopify Web Pixel events is just one step in our ongoing commitment to help merchants get the most out of their store data. Stay tuned for more updates as we continue to expand Dynasort’s capabilities with advanced tracking and reporting tools, helping you drive higher revenue and better customer experiences.