If you run a Shopify store with 50+ collections, you know the drill. You log into Dynasort, scroll to find the right collection, check what recipe is assigned, maybe enable sorting on a few more, repeat. Multiply that by every seasonal shift, every new product line, every merchandising experiment. The UI is fine — but clicking isn’t always the fastest path.

The Dynasort Connector changes that.

What the Connector Is

The Connector is a secure API that lets you plug Dynasort into any AI assistant — Claude, ChatGPT, or anything that supports tool use through a system prompt. Once connected, your AI assistant becomes a merchandising co-pilot. You describe what you want in plain English, and it handles the work: enabling collections, assigning recipes, triggering sorts, checking configurations, adjusting product boosts.

It’s not a chatbot bolted onto Dynasort. It’s a real API with 16 actions covering the operations you actually do most — list and update collections, bulk toggle sorting, assign recipes across many collections at once, sort or revert, manage product-level option sorting, and boost individual products in the ranking algorithm.

How It Works

Four steps to get running:

1. Generate an API key on the Connector page in your Dynasort dashboard. The key is shown once and stored as a SHA-256 hash — save it somewhere safe.
2. Copy the pre-built system prompt we provide. It tells your AI assistant how to use the Connector correctly.
3. Paste it into your AI assistant of choice (Claude Projects, a ChatGPT custom GPT, whatever you use).
4. Start a conversation. The assistant will ask for your API key on first use, then you’re off.

What You Can Actually Do

Here’s what a normal session looks like. These are real prompts the Connector handles today:

• “Enable sorting on all my summer collections using the Best Sellers recipe.”
• “What recipe is assigned to my New Arrivals collection, and when did it last sort?”
• “Set a boost of +50 on product SKU MM-HOODIE-NAVY so it surfaces higher in the lowcountry collection.”
• “Disable variant sorting on the t-shirt category — I want sizes to stay in manual order there.”
• “Re-sort the entire Sale collection right now.”

You can chain these. Ask the assistant to audit every collection that’s missing a recipe, then bulk-assign one. Ask it which collections sorted in the last 24 hours. Ask it to revert a collection to its previous order if a sort didn’t land right.

The point isn’t novelty — it’s that you stop context-switching between tabs and start operating Dynasort at the speed you think.

Security

Every key uses Bearer token authentication and is hashed with SHA-256 before storage (which is why we only show it to you once). Requests are rate-limited at 60 per minute. Revoke any key from the Connector page at any time.

Who It’s For

The Connector is included on Pro ($119/mo) and Enterprise ($249/mo) plans. It’s built for merchants who’ve outgrown clicking — agencies managing multiple stores, brands with deep catalogs, anyone whose merchandising workflow is a recurring time sink.

If you’re on Starter and most of your work happens across a handful of collections, the UI is probably still the right tool. If you’re managing dozens or hundreds, the Connector pays for itself the first week.

Getting Started

Full documentation, the system prompt, and example workflows are at docs.dynasort.io/connector.

If you’re already on Pro or Enterprise, the Connector page is live in your dashboard now. If you’re on Starter and want in, upgrade from your billing page and you’ll see it appear.

Stop clicking. Start asking.

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.

Most brands obsess over ads, landing pages, and AOV…
but overlook the real money maker: collection pages.

Your collections are where product discovery happens — and where CRO wins quietly stack up. Here are 10 proven tactics I’ve seen move conversion rates (and sanity) for merchants big and small

1⃣ Lead with relevance.
The first 4–8 products on a collection page decide if a visitor scrolls or bounces.
Put your best-selling, in-stock, and high-converting items above the fold. Never start with sold-out or irrelevant products.

2⃣ Make filters frictionless.
Size, color, price, and availability filters should be obvious, fast, and mobile-friendly.
Sticky filters = less frustration = more conversions.

3⃣ Offer smart sorting.
Ditch alphabetical.
Default to “Most Relevant,” “Best Selling,” or “Newest.”
Give shoppers logical ways to explore.

4⃣ Nail your product imagery.
Consistent aspect ratios, clean backgrounds, and hover states (like lifestyle shots) make a massive difference in click-through rate.
Your grid should look curated, not chaotic.

5⃣ Use urgency and availability cues.
Badges like “Low Stock,” “Selling Fast,” or “Back in Stock” drive real action.
Just make sure they’re honest — customers can sense fake scarcity.

6⃣ Show key info upfront.
Price, reviews, and variant availability should be visible without clicking.
Add “Quick Add” buttons for the ready-to-buy crowd.

7⃣ Design mobile-first.
Test your collections on real phones.
Use infinite scroll or “load more” instead of pagination.
Keep filters accessible and images optimized.

8⃣ Don’t skip SEO.
Unique collection descriptions still matter.
Use clear H1s, helpful copy, and schema markup to rank for buying-intent searches (“women’s linen pants,” “best fishing shirts,” etc.).

9⃣ Go dynamic.
Let data drive your merchandising.
Re-rank collections by conversion rate, stock status, or seasonality.
Static collections are 2015.

Build trust right on the grid.
Display reviews, ratings, and subtle trust or sustainability badges.
Sprinkle in user-generated content for authenticity.

Bonus: Speed.
Collection pages are heavy. Compress images, limit third-party scripts, and preload the first row of products.

If your product pages convert at 2–3%, your collections determine who ever gets there.
Get them right, and every channel you run suddenly performs better.

This is where Dynasort steps in, offering attribute, product, variant, analytics, and collection filters to overcome these challenges.

The Challenge: Parent/Child Relationship in Combined Products

One of the main hurdles for stores using combined products is the parent/child relationship. Merchants display the parent product on their storefront, but the variants sold belong to the child products. This presents a major obstacle when it comes to merchandising, as key attributes like sales, full-size runs, and inventory data are tied to the child variants, not the parent. Aggregating this data across all child products and applying it to the parent for ranking was no small feat.

Why Dynasort Developed These Filters

Before Dynasort introduced these filters, merchants with combined products couldn’t use the children’s attributes to merchandise the parent product meaningfully. This limitation resulted in suboptimal merchandising decisions, often requiring labor-intensive manual work to compensate. With our new system, all those hours are now automated.

How Merchants Use These Filters

Typically, Shopify Plus merchants with large catalogs benefit the most from Dynasort’s filtering system. These stores, often dealing with hundreds or even thousands of products, can now aggregate child product data into a single object for algorithmic merchandising. This allows merchants to save countless hours and apply sophisticated sorting and ranking to their collections based on real-time data from child variants.

Dynasort’s Role: Seamlessly Integrating Child Data for Powerful Merchandising

Dynasort plays a crucial role in transforming how these stores operate. By automatically aggregating child product data, Dynasort treats the parent product as if it were a normal Shopify product. This means all the attributes that were previously locked away—sales data, stock levels, reviews, and more—are now accessible to influence how products are ranked and displayed.

Our system ensures that these parent products are merchandised using the full power of child variant data, giving merchants smarter and more efficient control over their collections.

To enable Combined Product calculations for your store, reach out to us and we’ll get started – it’s included for free in our Pro and Enterprise plans.