Every product collection page on your Shopify store is quietly making a decision for your customers: what to look at first, what to consider next, and what to skip entirely. Most stores leave that decision to Shopify’s default sorting — alphabetical, best-selling, or manual arrangements that don’t adapt to real-time shopper behavior. And every month, the data tells us the same story: that’s leaving money on the table.

In April 2026, Dynasort tracked over 6.1 million collection page sessions across thousands of active Shopify stores. The results reinforce what we’ve seen month after month — AI-driven collection sorting meaningfully outperforms static defaults across every key shopping behavior metric. This report breaks down exactly what happened, what the numbers mean, and why it matters for your bottom line.

Key Metrics: How Dynasort Collections Performed Against Shopify Defaults

We measure Dynasort’s impact by comparing shopping behavior on collections actively sorted by our AI against collections using Shopify’s default sorting logic. Here’s how April 2026 shook out:

Conversion Rate (CVR): 1.52% vs. 0.64% — a 137.5% improvement

This is the metric that matters most. Conversion rate measures the percentage of collection page visitors who ultimately completed a purchase. Dynasort collections converted at 1.52%, compared to 0.64% on default-sorted collections. That’s not a marginal gain — it’s more than double the conversion rate.

What’s driving this? When your collection page surfaces the right products for each visitor based on real behavioral signals — not just static rules — shoppers find what they want faster and buy with more confidence. A 137.5% CVR improvement means that for every 1,000 visitors hitting a Dynasort-sorted collection, roughly 9 more customers are completing a purchase than they would on a default page. Scale that across thousands of daily sessions and the revenue impact compounds quickly.

Cart Rate: 6.82% vs. 2.75% — a 148% improvement

Cart rate tracks how often visitors add a product to their cart from a collection page. In April, Dynasort collections saw a 6.82% cart rate versus 2.75% for Shopify defaults — a 148% improvement and our strongest-performing metric this month.

This number reflects purchase intent. When more people are adding to cart, it means the products they’re seeing first are relevant, appealing, and well-matched to what they came looking for. A higher cart rate also feeds your abandoned cart recovery flows, giving you more opportunities to close sales even when shoppers don’t buy immediately.

Exit Rate: 58.58% vs. 61.35% — a 4.52% improvement

Exit rate measures the percentage of visitors whose last pageview was the collection page — meaning they left your store entirely without navigating deeper. Dynasort collections held that number to 58.58%, compared to 61.35% on default-sorted pages.

A 4.52% improvement here might sound modest compared to the CVR and cart rate numbers, but consider what it represents at scale: across millions of sessions, that’s tens of thousands of additional shoppers staying on your site, browsing product pages, and moving further into your funnel instead of bouncing to a competitor.

Bounce Rate: 44.55% vs. 49.99% — a 10.88% improvement

Bounce rate captures single-page sessions — visitors who landed on a collection page and left without any further interaction. Dynasort-sorted collections reduced bounce rate by 10.88%, from nearly 50% down to 44.55%.

This tells us something important about first impressions. When a shopper lands on a collection page and immediately sees products that feel relevant, they engage. When they see a poorly ordered wall of products that doesn’t match their intent, they leave. Nearly an 11% improvement in bounce rate means Dynasort is doing its job in that critical first moment.

Platform Scale: Dynasort by the Numbers

April 2026 was another month of significant scale across the platform:

• 41,197 collections tracked across all connected stores, with 3,561 collections actively sorted by Dynasort’s AI
• 1,088,209 products managed — over a million SKUs being intelligently positioned in real time
• 2.65 billion collection sorts executed during the month, meaning our algorithms continuously re-optimized product order based on fresh behavioral data
• $272.9 million in catalog revenue managed, representing the total product value across stores relying on Dynasort
• 6,150,039 total collection sessions analyzed, providing the robust data foundation behind every number in this report

These aren’t theoretical projections. Every metric in this report is drawn from real sessions, real shopping behavior, and real purchase outcomes across a diverse base of Shopify merchants.

What This Means for Merchants

If you’re running a Shopify store, here are the practical takeaways from April’s data:

Your collection page order is a conversion lever — treat it like one. Most merchants obsess over ad creative, landing pages, and checkout optimization. Collection page sorting rarely gets the same attention, yet it directly influences whether shoppers find products they want to buy. The 137.5% CVR gap suggests this is one of the highest-impact, lowest-effort optimizations available.

More add-to-carts means more recovery opportunities. Even if your conversion rate stays flat, a 148% improvement in cart rate dramatically expands your remarketing and abandoned cart audiences. Every add-to-cart is a signal of intent that your email and SMS flows can act on.

Reducing bounce and exit rates has compounding effects. Shoppers who stay on your site longer see more products, build more brand familiarity, and are more likely to return — even if they don’t purchase today. Lower bounce rates also send positive engagement signals that can benefit your SEO and paid ad quality scores over time.

You don’t need to manage this manually. Dynasort executed over 2.6 billion sort operations in April alone. No merchandising team can match that frequency or responsiveness. The AI adapts continuously to shifting customer behavior, seasonal trends, and inventory changes without requiring you to touch a thing.

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

The gap between AI-optimized and default-sorted collections isn’t narrowing — it’s consistent, measurable, and significant. If your collection pages are still relying on Shopify’s built-in sorting, April’s data makes a strong case for change.

Try Dynasort free and let your collections start working harder — automatically.

Now you can find out.

Dynasort A/B testing for collection sort order is live in beta on Pro and Enterprise plans. Here’s what it does, how it works, and why we built it the way we did.

Why Shopify merchandising A/B testing has always been a pain

Testing sort order on Shopify has historically required one of two bad options: either you eyeball before-and-after metrics across arbitrary date ranges (no control group, seasonality baked in, gut-feel conclusions), or you try to implement a proper split test — which means cookies, theme code changes, fighting Shopify’s edge caching, and often a third-party CRO platform that doesn’t understand merchandising at all.

Per-visitor splits are especially messy in a collection context. A visitor sees Variant A on desktop. They come back on mobile and get Variant B. The cache serves stale sort orders to half your traffic. The data gets noisy fast, and you end up with a “significant” result that isn’t actually telling you anything useful.

There’s a better approach.

How Dynasort’s strict alternation works

Instead of splitting visitors, Dynasort alternates the entire collection between two variants on a configurable time window — anywhere from 1 hour to 24 hours. During any given window, every shopper sees the same sort order. When the interval elapses, the collection flips to the other variant. Back and forth, for as long as the test runs.

This is called strict alternation, and it sidesteps the entire per-visitor mess. There’s no cookie logic. No theme changes. No cache-busting gymnastics. Shopify’s edge caching works with you instead of against you, because everyone in a window sees the same version. The experience is consistent across devices by definition.

The tradeoff is that you need to run the test long enough to smooth out time-of-day and day-of-week variation. A one-hour window run for three days gives you different data than a six-hour window run for two weeks. We recommend longer windows and longer test durations for most merchants — and the results interface tells you when you don’t have enough data yet.

What you can test

There are two test types.

Dynasort ON vs OFF compares your currently active Dynasort recipe against the collection’s native Shopify sort order — Best Selling, Manual, Created Date, whatever you had before. This is the “prove it” test. If you’ve ever wanted to know whether your automated sorting is actually outperforming the default, this is how you find out. It’s also the first test we’d suggest running on any collection where you’re not already confident in the data.

Recipe A vs Recipe B compares two Dynasort recipes head-to-head. You might be deciding between weighting revenue vs inventory, or testing whether a margin-optimized recipe converts better than a velocity-based one. Same alternation mechanic, same metrics, same significance reporting.

Reading the results

Dynasort tracks four metrics per variant: Conversion Rate, Cart Rate, Exit Rate, and Bounce Rate. Each one shows you the per-variant value, the lift percentage, and a Yes/No significance flag.

The significance calculation uses a two-proportion z-test with pooled variance and a two-tailed p-value — the same methodology used by Optimizely and VWO. “Significant” means p < 0.05, which is the standard threshold for this type of test. We’re not doing anything exotic with the math; we’re applying established CRO methodology to a context where it’s rarely been available before.

One thing we’re deliberate about: Dynasort enforces a minimum of 100 sessions per variant before surfacing results as reliable. Until you hit that threshold, the UI tells you clearly that your data isn’t ready. This matters more than it might seem. Small-sample significance results are one of the most common ways A/B tests produce confident wrong answers — a test with 40 sessions per variant and p = 0.04 is not a test you should be making decisions from.

When the test ends, you pick the winner. Dynasort doesn’t auto-apply a result, because a 4% conversion lift on a variant that burns through your lowest-margin inventory isn’t necessarily the right call. The merchant context matters. You make the decision.

Who this is for

If you’re on Pro or Enterprise and you have collections with meaningful traffic — a few thousand sessions a month or more — A/B testing is worth running. The most direct use case is validating your current sort strategy on your highest-traffic collections. If Dynasort is doing its job, the data should show it. If the default Shopify sort is actually outperforming on a specific collection, you’d want to know that too.

Agencies and CRO consultants managing Dynasort for clients will also find this useful as a reporting and validation tool — something concrete to show that merchandising decisions are being made on data, not intuition.

This is a beta release. The core mechanics are solid, but we’re actively collecting feedback on test configuration, reporting clarity, and edge cases. If you hit something unexpected, in-app support gets to us directly.

Get started

Full docs, including setup walkthrough and how to interpret results: https://docs.dynasort.io/ab-testing/

The first test to run: Dynasort ON vs OFF on your highest-traffic collection.

Every product collection on your Shopify store is a silent sales pitch. The order your products appear in shapes what customers click, what they add to cart, and whether they buy — or bounce.

Most merchants don’t think much about collection sorting. They leave it on Shopify’s default settings — alphabetical, best-selling, newest first — and hope for the best. But “hope” isn’t a merchandising strategy. In March 2026, Dynasort tracked over 6.3 million collection sessions across thousands of Shopify stores, and the data tells a clear story: AI-optimized product sorting dramatically outperforms the default. Across every key metric — conversion rate, cart rate, exit rate, and bounce rate — Dynasort-sorted collections delivered meaningfully better results. Let’s break down exactly what that looks like.

Key Metrics: Dynasort vs. Shopify Default Sorting

Here’s how collections using Dynasort’s AI sorting compared to collections using Shopify’s standard sorting options in March 2026.

Conversion Rate: 1.74% vs. 0.71% (↑ 145.07%)

This is the headline number, and it’s the one that matters most. Conversion rate measures the percentage of collection visitors who completed a purchase. Dynasort collections converted at 1.74% compared to just 0.71% for default-sorted collections — a 145% improvement.

To put that in perspective: if your store gets 10,000 collection visits per month and your average order value is $75, moving from 0.71% to 1.74% CVR means going from roughly $5,325 in revenue to approximately $13,050. That’s an additional $7,725 per month — from the same traffic you’re already paying for. No new ad spend. No redesign. Just smarter product ordering.

Cart Rate: 7.3% vs. 2.94% (↑ 148.3%)

Cart rate measures the percentage of collection visitors who added at least one product to their cart. Dynasort collections hit 7.3% compared to 2.94% for default sorting — a 148% lift.

This metric reveals something important about intent. When products are sorted in an order that matches what shoppers are actually looking for, they engage. They don’t just browse — they take action. A higher cart rate means your collections are doing their job: surfacing the right products to the right shoppers at the right time.

Exit Rate: 57.24% vs. 64.4% (↓ 11.12% improvement)

Exit rate tracks how often a collection page is the last page a visitor sees before leaving your store entirely. Dynasort collections had an exit rate of 57.24% compared to 64.4% for default-sorted collections — an 11.12% improvement.

A lower exit rate means more shoppers are continuing to browse your store after viewing a collection. They’re clicking into product pages, exploring other categories, or heading to checkout. Poorly sorted collections, on the other hand, act like dead ends. When customers don’t see anything compelling near the top, they leave.

Bounce Rate: 43.18% vs. 53.62% (↓ 19.47% improvement)

Bounce rate measures visitors who land on a collection page and leave without interacting at all — no clicks, no scrolls, nothing. Dynasort collections reduced bounce rate to 43.18% versus 53.62% for Shopify defaults, a 19.47% improvement.

This is your first-impression metric. Nearly 1 in 5 additional visitors stayed and engaged when collections were sorted by Dynasort’s AI instead of Shopify’s static rules. For merchants spending money on paid traffic that lands on collection pages, this improvement alone can meaningfully change your ROAS.

Platform Scale: March 2026 by the Numbers

These results aren’t pulled from a handful of test stores. Here’s the scale Dynasort operated at in March:

• 40,490 collections tracked across the platform
• 3,556 collections actively sorted by Dynasort’s AI
• 1,069,782 products managed across all connected stores
• 2.23 billion collection sorts executed — that’s Dynasort’s algorithm continuously reordering products based on real-time performance signals
• $286.4 million in catalog revenue managed across all Dynasort-connected stores
• 6.32 million total collection sessions measured

This is production-scale machine learning applied to a problem most merchants solve with gut instinct or ignore entirely. Every sort decision is informed by actual shopping behavior — clicks, cart adds, purchases, and more — not static rules that go stale the day you set them.

What This Means for Merchants

If you’re running a Shopify store, here are the practical takeaways from this data:

Your collection sort order is a conversion lever. It’s not a cosmetic detail. The difference between a well-sorted and poorly-sorted collection is, based on March’s data, a 145% gap in conversion rate. Few optimizations on your store can deliver that kind of impact with zero ongoing effort.

Static sorting rules decay. “Best-selling” sorting sounds logical, but it creates feedback loops — top sellers stay on top, and new or seasonal products get buried. Dynasort’s AI continuously re-evaluates and adapts, which is why metrics like cart rate and bounce rate also improve, not just conversions.

You don’t need more traffic; you need more from your traffic. Every percentage point of bounce rate reduced and every additional cart add represents revenue you’re currently leaving on the table. With acquisition costs continuing to climb across Meta, Google, and TikTok, squeezing more value from your existing sessions is the highest-leverage move you can make.

Start Sorting Smarter

March 2026’s data reinforces what we’ve seen month after month: AI-optimized product sorting consistently and significantly outperforms Shopify’s default options. Higher conversion rates. More cart adds. Fewer bounces. More engaged shoppers.

Dynasort works in the background — no manual merchandising, no rules to configure, no ongoing maintenance. Install it, enable it on your collections, and let the algorithm do what static sorting can’t.

Try Dynasort free on the Shopify App Store →

Your products deserve to be seen in the right order. Your revenue depends on it.

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.

This week we shipped two new sorting attributes that give merchants sharper signals and more control. Both are live now and included in every Dynasort plan.

The Problem with Sales Rank

Sales rank is intuitive. Put your bestsellers first, customers find popular products faster, conversions go up. Simple enough.

Except it ignores a critical variable: inventory.

A product that has sold 1,000 units over the past 90 days but has 8 units left in stock is not a product you should be leading your collection with. You’re funneling traffic toward a near-stockout, manufacturing frustration, and burning potential conversions that could have gone to products you can actually fulfill.

This is where Sell Through Rate changes the picture.

Feature 1: Sell Through Rate (STR) Attribute

Sell Through Rate measures how quickly a product is moving through available inventory. It’s not just “what sold the most” but “what is selling fastest relative to what we have.”

High STR means a product is popular and moving quickly. Used alongside inventory data, it gives you a much more honest picture of what deserves front-page placement in your collections.

With STR now available as a native Dynasort sorting attribute, you can build recipes that factor in velocity alongside sales, inventory levels, and conversion data. The result is collections that reflect what you can actually sell, not just what sold well in the past.

Feature 2: Alphabetical Metafield Sorting

Shopify metafields let merchants store custom data against products: material type, brand, fit, season, country of origin, and dozens of other attributes depending on the catalog.

Until now, sorting by those metafield values alphabetically required custom workarounds or manual ordering. That’s done.

Alphabetical metafield sorting is now a first-class option in Dynasort. Pick any metafield, sort ascending or descending, and let automation handle the rest. Whether you’re organizing by brand name, material, or a custom taxonomy you’ve built, it works without any extra configuration.

Available Now

Both attributes are live in your Dynasort account today. No upgrade required, no new billing, no setup beyond adding them to your sorting recipe.

If you’ve been working around inventory blind spots or fighting with manual metafield ordering, now you don’t have to.

Questions or feedback? Reach us at hello@dynasort.io or through in-app chat.

Feature 1: Auto Sorting for New Collections

Until now, when you created a new Shopify collection, there was a gap between when the collection went live and when Dynasort’s automated sorting kicked in. For busy teams managing large catalogs, this meant new collections sometimes faced real customers with default, unsorted product ordering.

That gap is gone.

With Auto Sorting for New Collections, Dynasort now detects new collections the moment they’re created and immediately applies your configured sorting rules. There’s nothing to configure, no checklist to remember, no delay. Your merchandising logic is active from day one.

This is especially valuable for merchants who frequently launch new seasonal collections, run promotions with dedicated collection pages, or are scaling their catalog quickly.

Feature 2: Bulk Editing for Products & Collections

Managing sorting configurations across a large catalog used to require updating collections and products one at a time. If your strategy changed — new metric priorities, a seasonal shift, a site-wide promotion — implementing it was a manual slog.

Bulk editing solves that. You can now select multiple collections or products and update their sorting rules in a single action. Whether you’re managing 20 collections or 2,000, what used to take hours now takes seconds.

Available Now — No Upgrade Required

Both features are live in your Dynasort account right now. No additional setup, no new billing tier. Open the app and you’ll find Auto Sorting in your Collections settings and Bulk Editing available wherever you manage collections and products.

As always, we’re building based on what merchants actually need. If you have feedback on either feature — or ideas for what to tackle next — reach out at hello@dynasort.io or use the in-app chat.

— Wade & the Dynasort Team

We recently analyzed conversion data from over 1,100 Shopify collections across our merchant base, and the results challenge a common assumption in e-commerce: that more product options lead to more sales.

The Data

Here’s what we found:

• Collections with fewer than 10 products: 2.30% CVR
• Collections with 11-20 products: 2.17% CVR
• Collections with 51-100 products: 2.00% CVR
• Collections with 501-1000 products: 1.88% CVR

That’s an 18.4% decline in conversion rate from the smallest to largest collections.

Why This Matters

The psychology behind this is well-documented. When customers face too many choices, decision-making becomes harder, not easier. They experience what researchers call “choice overload” — and often, they simply leave without buying anything.

Think about your own shopping behavior. When you’re browsing a collection with 8 curated items, you can mentally process each option. When you’re scrolling through 500 products, you’re overwhelmed before you even start.

What You Can Do

This doesn’t mean you should delete products from your store. Instead, think about how you’re organizing them:

1. Create focused, themed collections — “Summer Wedding Guest Dresses” converts better than “All Dresses”
2. Use merchandising rules to surface your best products — Don’t bury bestsellers on page 3
3. Consider pagination or filtering carefully — Make it easy to narrow down, not just scroll endlessly

The most successful merchants we work with treat their collections like curated experiences, not product dumps. They understand that their job isn’t just to show inventory — it’s to help customers find what they need quickly and confidently.

The Bottom Line

Sometimes the best merchandising decision is showing less. Your conversion rate will thank you.