Answers
Common Questions About Kimonix
Evaluating Kimonix for your Shopify store? These are the questions merchants ask most, answered directly. Where a topic has a page of its own, the answer is short and points you there.
In depth
Longer answers, each on its own page.
How do you increase average order value on Shopify?
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Read the answer→How do you reduce cart abandonment?
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Read the answer→About Kimonix
What it is, who it is for, and how the two apps differ.
What is Kimonix?
Kimonix is a product discovery platform for Shopify. It decides which products shoppers see and in what order, using live data such as sales, stock, margin and shopper behavior, across three areas: collection merchandising, personalization and recommendations, and AI search. The merchandiser sets the strategy and the platform applies it continuously.
What size store is Kimonix for?
Collection sorting works best once a catalog is large enough that ordering by hand stops being practical, typically around 180 products and up. Below that, a merchandiser can maintain the order manually. Recommendations and search work at any catalog size, so smaller stores still get value from those.
How collection sorting works→Who uses Kimonix?
Shopify and Shopify Plus retailers across fashion, footwear, accessories, beauty and general merchandise. Named customers include KARL LAGERFELD, Goldbergh, Swarovski, Poppy Barley and True Classic. The common factor is a catalog big enough that what appears first on a collection page materially changes what sells.
Read the case studies→Is Kimonix only for fashion and apparel?
No. Fashion is well represented because catalogs there change fast and size availability matters, but the same logic applies anywhere a collection page has more products than a shopper will scroll. Customers include beauty, footwear, jewelry, sports and general merchandise retailers.
What is the difference between the merchandising app and AI Search and Shopping Agent?
They are two apps. The merchandising app decides the order of products on your collection pages and powers recommendations and personalization. AI Search and Shopping Agent handles on-site search, interpreting what a shopper types in natural language. They share the same underlying data signals and can run together or separately.
About AI Search and Shopping Agent→Does Kimonix only work on Shopify?
Yes. Kimonix is built specifically for Shopify and Shopify Plus, installed from the Shopify App Store. That focus is deliberate: it means native handling of Shopify collections, metafields, markets and inventory rather than a generic integration layer built to span several platforms.
Getting started and fit
The practical questions before you install anything.
Do I need a developer to install Kimonix?
No for the standard setup. Kimonix installs from the Shopify App Store and its collection extension is added through the theme editor, so a merchandiser can complete it. A developer is only useful for non-standard theme work, or if you want recommendation elements placed somewhere unusual in a custom template.
What happens to my existing collections when I install Kimonix?
Nothing changes until you choose it. Installing does not alter your existing Shopify collections. You either create new Kimonix collections alongside them, or apply Kimonix sorting to a collection you already have. Both are decisions you make per collection rather than a switch that flips everything at once.
Can Kimonix sort my existing Shopify collections without rebuilding them?
Yes. You can apply Kimonix sorting to a pre-existing Shopify collection and keep the collection, its handle and its URL exactly as they are. Only the order of products inside it changes. There is also the option to replace a collection entirely with a Kimonix-built one where that suits better.
Do I have to build every collection from scratch?
No. Most stores start by sorting collections they already have, which needs no rebuilding. Building new Kimonix collections is worth it when you want a grouping Shopify's own conditions cannot express, such as one combining margin, stock depth and recent sell-through in a single rule.
How many collections should I start with?
Start with the handful that carry the most traffic, usually your top-level category pages, and expand once you can see the effect. Sorting every collection on day one makes it harder to attribute what changed. The platform scales to hundreds, but the useful sequence is narrow first, then broad.
Can I run Kimonix alongside my current search app?
Yes. The merchandising app governs collection ordering and recommendations, which is a different surface to search, so it runs alongside an existing search tool without conflict. Stores often adopt merchandising first and move search over later once they have compared the two side by side.
How do I cancel my plan?
Plans are managed through Shopify billing and can be cancelled from within the app at any time. There is no minimum contract term on the standard plans. If you are on a custom plan, the terms of that agreement apply instead.
See plans and pricing→Is there a free trial, and how is pricing calculated?
There is a 14-day free trial with no credit card required. Pricing is calculated on your average monthly orders rather than catalog size or revenue, and you can switch plan types as you grow. The pricing page has the full detail including how order volume is counted.
See plans and pricing→Merchandising and collections
What the platform can actually do to a collection page.
What store data does Kimonix use to sort products?
Sales performance, conversion rate, inventory levels and stock depth, product margin, price, product age and freshness, returns data where connected, review scores where connected, and shopper behavior on your store. You choose which of these matter and how they are weighted, per collection, rather than accepting one fixed formula.
Can I sort a collection by more than one parameter at once?
Yes, and this is the main difference from Shopify's native sorting. A collection can be ordered on several weighted signals together, for example recent sell-through balanced against stock depth and margin, so a fast seller running low does not keep the top slot over a comparable product you can actually ship.
Can I pin a product to a fixed position?
Yes. Any product can be pinned to a specific position in a collection, and the automated sorting arranges everything around it. Pins can also be conditional, so a product holds its slot only while a rule is true, such as while it is in stock or during a campaign window.
Does Kimonix support conditional rules and filters?
Yes. Context-based filters and rules control what enters a collection and how it is ordered, and conditions can be combined. Typical uses are excluding out-of-stock or low-stock items, holding back products below a margin threshold, and surfacing a category only while a season or campaign is running.
Can Kimonix sort by size availability?
Yes. Collections can be sorted on the availability of specific sizes, so a product missing its core sizes does not lead a collection page. This matters most in apparel and footwear, where a top-ranked product with only the extreme sizes left converts poorly and frustrates shoppers.
Can Kimonix use product metafields as sorting data?
Yes. Product metafields can be used as data parameters in sorting rules, so information you already hold in Shopify can drive the order without duplicating it elsewhere. That covers custom attributes such as fabric, fit, supplier or internal classifications that no standard ecommerce signal captures.
Can I group product variants together?
Yes. Product grouping controls how variants appear on a collection page, so a style available in eight colors can present as one entry rather than eight, or as separate entries where showing the range is the point. The choice is yours per collection rather than fixed by the theme.
How often do collections update?
Automatically on a daily cycle, so the order reflects current sales and stock without anyone touching it. You can also trigger a manual update at any time, which is the usual approach after a large stock delivery, a price change or a campaign launch when you do not want to wait for the next cycle.
Can I customize collections for different markets?
Yes. Collections can be merchandised per market, so the same collection presents a different order in different regions. That reflects the reality that demand, stock and season differ by market, and a single global order is wrong for most of your audience most of the time.
Can I A/B test collection sorting?
Yes. You can run an A/B test on a collection to compare two sorting strategies against each other on live traffic and see which converts better, rather than assuming. This is how you find out whether a change worked instead of inferring it from a revenue number that moved for other reasons.
About merchandising A/B testing→Recommendations and personalization
Showing different shoppers different things.
Does Kimonix offer product recommendations?
Yes. Recommendation elements can be placed on product pages, collection pages, the cart and elsewhere, drawing on the same signals that drive collection sorting rather than a separate engine with its own logic. That means a recommendation respects stock and margin the same way your collection ordering does.
About product recommendations→Can I show a different product order to each shopper?
Yes. Collections can be personalized so the order reflects an individual shopper's behavior and preferences, while still honoring the business rules you set on stock and margin. Personalization sits on top of the sorting strategy rather than replacing it.
Does Kimonix personalize by customer segment?
Yes. Segments let you define groups, such as first-time visitors, returning customers or shoppers from a particular market or campaign, and give each a different collection arrangement. This is the practical middle ground between one order for everyone and full 1:1 personalization.
Does Kimonix do cross-selling on collection pages?
Yes. Collection page cross-sell places complementary products into the browsing flow rather than waiting for the cart, which is late in the journey and easy to ignore. The pairings come from what actually sells together on your store rather than from manual product tagging.
About cross-selling→Can Kimonix power personalized email campaigns?
Yes. A Kimonix campaign can be connected to your email provider so the products in an email are chosen per recipient using the same live data as your storefront, including current stock. That avoids the common failure of an email promoting something that sold out before it landed.
About personalized emails→Integrations
What Kimonix connects to, and what it does with the data.
Does Kimonix integrate with Klaviyo?
Yes. Connecting Klaviyo lets a Kimonix campaign supply personalized product blocks to your emails, chosen per recipient from live store data. Setup is done in the app by connecting the campaign to Klaviyo as the email provider.
Does Kimonix use product reviews as a sorting signal?
Yes, where a reviews app is connected. Review scores become another parameter available to sorting rules, so well-reviewed products can be weighted up. Yotpo is supported directly, and the general product reviews integration covers the rest.
Does Kimonix integrate with Triple Whale?
Yes. Activating the Triple Whale integration brings its analytics into the data Kimonix can act on, so profitability and attribution signals you already track can influence which products surface rather than sitting in a separate dashboard.
Does Kimonix work with Tapcart?
Yes. The Tapcart integration extends Kimonix collections and merchandising into your mobile app, so the ordering shoppers see in the app matches the logic running on your storefront instead of drifting into a separately maintained arrangement.
Does Kimonix use returns data?
Yes, where Loop Returns is connected. Return rates become a signal in sorting, which matters because a high-converting product with a high return rate is not the win it appears to be. Ranking on returns-adjusted performance is closer to actual profit.
Does Kimonix work with Shopify Markets?
Yes. Collections can be merchandised per market so each region gets an order suited to its demand, stock position and season, rather than one global arrangement applied everywhere.
About Shopify Markets merchandising→Analytics and measurement
Knowing whether any of it worked.
Can I track how my collections and sorting strategies perform?
Yes. Kimonix reports on collection and strategy performance so you can see which arrangements drive conversion and revenue rather than guessing. Combined with A/B testing, that turns merchandising from an opinion into something you can measure and defend.
About merchandising analytics→What time ranges can Kimonix measure performance over?
Analytics parameters can be evaluated over configurable time frames, which matters because the right window depends on the question. A fast-moving fashion collection needs a recent window to stay current, while a stable category needs a longer one to avoid overreacting to a quiet week.
How Kimonix compares
Head-to-head breakdowns, each on its own page.
How does Kimonix compare to Nosto?
Focused, Shopify-native product discovery against a broad multi-platform commerce experience platform.
Kimonix vs. Nosto→How does Kimonix compare to Algolia?
No-code merchant-owned product discovery against developer-first search infrastructure.
Kimonix vs. Algolia→How does Kimonix compare to Searchspring?
Shopify-native discovery you launch in minutes against a multi-platform search and merchandising incumbent.
Kimonix vs. Searchspring→How does Kimonix compare to Tagalys?
Two fashion merchandising platforms compared, one built to drive sales, one built for visual control.
Kimonix vs. Tagalys→How does Kimonix compare to Depict?
Data-driven discovery against visual-first storefront merchandising.
Kimonix vs. Depict→How does Kimonix compare to Boost?
All-in-one merchandising that decides what leads against a best-in-class search and faceted-filter app.
Kimonix vs. Boost→How does Kimonix compare to Voyado?
Focused Shopify-native product discovery against a retail loyalty, CRM and discovery suite.
Kimonix vs. Voyado→How does Kimonix compare to Sort'd?
All-in-one product discovery against a free-to-start collection sorting app.
Kimonix vs. Sort'd→Is Shopify's native Search & Discovery app enough?
It is a reasonable starting point and it is free, but it caps filters, has no shopper-level personalization and cannot order a collection on several weighted business signals at once. Whether that matters depends on catalog size and how much of your revenue comes through collection pages.
Compare the alternatives→Concepts explained
The groundwork, each covered properly on its own page.
What is ecommerce merchandising?
Deciding which products shoppers see, and in what order, so the items most likely to sell reach the top. In a physical store a merchandiser arranges the shop floor. Online, it is choosing what fills each collection page and in what sequence.
Ecommerce merchandising→What is visual merchandising in ecommerce?
How a store presents and orders products so shoppers notice, explore and buy them, spanning the homepage, navigation, collection pages, product pages and checkout. It is the online equivalent of arranging a shop window and the aisles behind it.
Guide to visual merchandising→What is product discovery?
Everything that helps a shopper find something worth buying when they do not already know what they want. Search serves people who can name the thing. Discovery serves the larger group who cannot, through navigation, collection order, recommendations and merchandising.
Product discovery and AI search→What is conversational commerce?
Shopping through conversation rather than browsing, whether with an AI assistant on your storefront, a chat widget, a messaging app or voice. The shopper describes what they want in their own words and the store interprets it.
Guide to conversational commerce→What is agentic commerce?
Commerce where an AI agent acts on the shopper's behalf, comparing and sometimes purchasing, rather than the shopper browsing a store directly. It changes what a store needs to expose, because the reader is a machine before it is a person.
Agentic commerce vs ecommerce→What are Shopify smart collections?
Collections built from conditions rather than a hand-picked list, so products join and leave automatically as they meet the rules. Shopify's native version supports simple conditions; multi-signal weighting needs a dedicated merchandising tool.
Smart collections on Shopify→What is non-moving inventory and what does it cost?
Stock that is not selling. It costs more than the unsold item: it occupies space, ties up cash that could buy stock that does sell, and usually ends in a markdown. Most of it is a visibility problem rather than a demand problem.
The non-moving inventory cycle→What is faceted search?
Search with filters that let a shopper narrow results by attributes such as size, color, price or availability. Done well it reflects how people actually decide; done badly it offers filters nobody uses and hides the ones they need.
Faceted search on Shopify→What is a good ecommerce profit margin?
It depends on category, and on which margin you mean. Gross and net margins answer different questions, so comparing your gross figure against someone else's net tells you nothing useful.
Ecommerce profit margins by industry→Still Deciding?
The quickest way to answer the question these pages cannot is to look at your own store. A free audit shows where your collections, product listings and pricing stand, with no install and no admin access needed.
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