How many pages can I create in Shopify?

There’s no strict limit—you can create as many pages as your store needs, such as About Us, FAQs, policies, or landing pages. However, it’s best to keep your navigation simple and user-friendly.

Can I delete pages in Shopify?

Yes. Go to Online Store → Pages, open the page you want to remove, and click Delete Page. Keep in mind that deleted pages can’t be recovered unless you recreate them.

How do I edit page SEO in Shopify?

Open the page in your Shopify admin and scroll to Search Engine Listing Preview. Click Edit Website SEO to update the meta title, description, and URL handle.

How to optimize a Shopify product page?

Focus on clear product titles, keyword-rich descriptions, quality images, reviews, and fast loading speed. A well-optimized page improves both SEO and conversions.

How to make sub pages in Shopify?

You can’t create true sub-pages in Shopify, but you can organize pages under dropdown menus in your navigation. Go to Online Store → Navigation → Main Menu, add your page, then drag it under another menu item to create a sub-page effect.

Ecommerce

Gather knowledge about the latest insights, updates, tips, and tricks in the Ecommerce industry.

How Anua Unlocked 5X AOV Growth with iCart’s Smart Cart Features

delivery customization Challenges Solutions drive results Scale business delivery customization Challenges Solutions drive results Scale business delivery customization Challenges Solutions drive results Scale business delivery customization Challenges Solutions drive results Scale business Anua is a globally recognized Korean skincare brand known for its minimalist philosophy and focus on gentle yet effective formulations. Built on the idea of simplifying skincare routines, Anua develops products that deliver visible results while avoiding harsh or irritating components, making them suitable for sensitive skin types. Initially using a traditional full cart experience, Anua transitioned to iCart’s side cart solution in August 2025, to create a more seamless and engaging shopping journey. This shift allowed customers to easily explore complementary skincare products without disrupting their browsing flow, making it more intuitive to discover items that fit into a complete routine. By surfacing relevant recommendations directly within the cart, the brand enhanced product visibility across its range. Challenges Before implementing iCart’s side cart solution, Anua faced limitations with their existing full cart experience, which created friction in the customer journey. The traditional cart setup redirected users away from product pages, interrupting their browsing flow and reducing opportunities to explore additional products. As a skincare brand built around routines rather than single-item purchases, this made it difficult to effectively showcase complementary products and encourage customers to build complete regimens. Additionally, the lack of in-cart personalization and strategic upsell opportunities meant that customers were often unaware of related products that could enhance their skincare results. This limited the brand’s ability to increase average order value (AOV) and fully leverage its diverse product range. Anua needed a more dynamic and intuitive cart experience that could seamlessly introduce relevant recommendations while maintaining a smooth and engaging shopping journey. ❌ Cart Value Barriers Low average order value (AOV) due to single-item focus Most customers completed purchases with one primary product instead of building multi-step routines. Cart abandonment near shipping thresholds Customers were not clearly informed or motivated to reach free shipping or discount thresholds. Missed savings opportunities Customers were unaware of potential value in purchasing bundled routines or multiple complementary products. ❌ Absence of Progress-Based Incentives No free shipping or discount progress bar Customers were not motivated to increase their cart value due to lack of visible incentives. Missing tiered rewards system There were no structured milestones (e.g., “Spend more to unlock offers”), reducing upsell opportunities. ❌ Ineffective Cart UI/UX (Pre-Side Cart) Full-page cart disrupted shopping flowCustomers had to leave their browsing journey, increasing friction and drop-offs. No quick add/remove functionality Users couldn’t easily modify their cart or add suggested products without navigating away. Solution To overcome these challenges, Anua implemented iCart’s side cart solution to transform their traditional cart into a high-converting, interactive experience. By replacing the full-page cart with a seamless side cart, the brand ensured that customers could continue browsing while viewing their cart, significantly reducing friction in the shopping journey. Additionally, features like product recommendations & progress bars for free shipping and discounts motivated customers to increase their cart value. By combining personalization, incentive-driven messaging, and a user-friendly interface, Anua successfully turned their cart into a powerful revenue-driving touchpoint rather than just a checkout step. To maximize their cart effectiveness, they implemented two powerful features: ✅ Progress Bar with Multi-Reward Incentives Implemented a tiered progress bar to encourage higher cart value Customers are guided with a clear message like “Add $3.10 to unlock secret offer,” motivating them to continue adding products. Generated over $5M+ in revenue through incentive-driven cart progression Used product-based rewards to align with customer intent Instead of generic discounts, Anua incentivized purchases with relevant skincare items like Dark Spot Pads and mini serums. Built visual motivation for routine expansion As customers add products, they can clearly track progress toward unlocking multiple rewards, encouraging them to build a complete skincare routine. ✅ Product Recommendations Implemented “Frequently Bought Together” recommendations Customers adding a single product (e.g., toner) are shown complementary items like serums, moisturizers, or pads to complete their routine. Generated over 275K revenue through in-cart recommendations Encouraged full skincare regimen building Instead of isolated purchases, the cart suggests step-by-step product combinations aligned with common skincare routines. Increased product discovery at the final stage By surfacing relevant items directly in the cart, Anua ensured customers explore more of their catalog without leaving the checkout flow. Results Achieved in Last 180 Days 22932 Total Store Orders 45101 Total iCart Orders 5X iCart Generated AOV 65.70% Upsell Affected Conversion Rate These improvements reflect a clear shift in customer behavior on Anua’s store. Cart abandonment reduced as shoppers discovered complementary skincare products and felt encouraged to build complete routines. Engagement also increased, with customers interacting more with in-cart recommendations and exploring relevant product pairings. Results & Impact And...Results is Our Main Clarification By implementing iCart’s cart drawer, product recommendations, and progress bar, Anua transformed its cart into a high-performing conversion touchpoint. Shopping Experience Enhancement The improved cart experience encouraged customers to discover complementary products and understand the value of sustainable beauty routines. For instance, the clear presentation of subscription savings alongside one-time purchase options helped customers make more informed decisions about their long-term hair care needs. As Anua continues to optimize its cart experience, the brand is closely monitoring: Routine-based purchasing behavior - tracking how customers move from single items to multi-step regimens Engagement with in-cart recommendations - measuring interaction with suggested products Cart value progression - analyzing how incentives influence higher spending [related_cases_slider] Ready to Write Your Success Story? Try icart App Join successful businesses like Anua and Master your delivery scheduling Delight customers with precise timing Grow your special occasion orders Expand your delivery reach

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7 Min • 7 April 2026

5+ Shopify Flow Examples to Automate Store Workflows in 2026

Some useful Shopify Flow examples are tagging high-value orders, sending low-stock alerts, tagging first-time customers, flagging risky orders for review, and notifying your team when orders stay unfulfilled for too long. You can also use Shopify Flow for more advanced workflows, like sending flagged order data to Google Sheets, creating a daily order summary, tagging customers linked to chargebacks as high risk, or routing vendor-specific orders automatically. When I help Shopify merchants clean up their backend workflow, Shopify Flow is one of the first tools I use. It helps me automate small but important tasks that usually get repeated every day. It helps store owners with less manual work and a smoother way to run the store operations as orders start coming in. In simple terms, Shopify Flow works like this: When something happens in your store, Shopify Flow can check a condition and then take an action automatically. For example, it can tag a high-value order, alert your team when stock runs low, or flag an order that looks risky. In this guide, I’ll break down the core parts of a flow first, then walk through common Shopify Flow examples, and finally show you some advanced workflows you can use once the basics are in place. Components of a Shopify Flow app: triggers, conditions, actions Before I get into the best Shopify Flow examples, I will explain how a flow actually works. Once you know the basic structure, it becomes much easier to build, edit, and use automations that fit your store. Shopify Flow triggers: what starts the workflow A trigger is the starting point of the workflow. It tells Shopify Flow when to begin. Some common Shopify Flow triggers are: Order created Order paid Product inventory changed Customer created For example, if an order gets paid, that event can trigger a workflow. From there, Flow can decide what should happen next. Conditions: how Shopify Flow decides what to do A condition is the rule-checking part of the flow. It helps Shopify decide whether the workflow should continue. For example, you may want Shopify Flow to tag an order only if the order total is above a certain amount. If the order does not meet that rule, the action does not run. Actions: what happens after the condition is met This is what Shopify Flow does after the trigger happens and the condition matches. Some simple actions include: Tag an order Send an internal email Hold fulfillment Add a customer tag Common Shopify Flow examples that stores can start Shopify Flow example #1: Tag high-value orders automatically This is one of the first flows I like to set up. The trigger here is ‘order paid’. I set a condition of a threshold in terms of order value. Then Shopify Flow checks whether the order total is above the threshold. If it is, the workflow adds a tag to the order and can notify your team right away. This helps you spot premium orders fast. You can review them more carefully and give them extra attention. Shopify Flow example #2: Send a low-stock alert I like this flow because it prevents avoidable stockouts. Low inventory problems usually start small. That is why this is one of the most practical examples for new stores. The trigger here is ‘product variant inventory quantity changed’. Shopify Flow then checks whether stock has dropped below your set threshold. If it has, it sends an email to your team. Shopify Flow example #3: Tag first-time customers If you want cleaner customer data from the beginning, set this one up early. The trigger here is ‘order paid’. Then Shopify Flow checks whether the customer’s lifetime order count is equal to one. If yes, it adds a first-time buyer tag. This way, you can separate new buyers from repeat customers without doing anything manually. Shopify Flow example #4: Flag risky orders for review Every store needs Shopify fraud protection. That is why I see this as one of the most important Shopify Flow examples to set up early. The trigger is ‘order risk analyzed’. Shopify Flow checks whether the risk level is high. If it is, the flow adds a fraud-related tag and notifies your team for review. Shopify Flow example #5: Alerts for unfulfilled orders The trigger here is ‘order created’. After that, the workflow waits for a set number of hours. Then it checks whether the fulfillment status is still unfulfilled. If it is, Shopify Flow sends an alert to your operations team. This catches delays before customers complain. It helps you stay ahead of missed handoffs, late packing, or anything that is slowing you down. Advanced Shopify Flow examples for automation Shopify Flow example #1: Connect Flow to other apps As your store grows, connect Flow with the rest of your tools. For example, you can connect Shopify Flow to Google Sheets to keep a live data of flagged orders. The workflow can start when order risk is analyzed, then check a rule such as high value, high risk, or a specific tag. If the condition matches, Flow can add a row to Google Sheets with the order number, customer name, total, and status, so your team has a clean record to review. Shopify Flow example #2: Send a daily summary of order details Instead of sending your team a new alert every time an order update happens, you can use a scheduled workflow to collect key order details. Types of order details you can include: Order number Customer name Order date Total order value Payment status Fulfillment status Shipping method Product names or SKUs Quantity ordered Delivery or shipping location Order tags Risk status Shopify Flow example #3: Tag customers linked to chargebacks This is a workflow for stores that want better control over fraud issues. If an order results in a chargeback, Shopify Flow can automatically tag the customer as high risk. This adds a simple layer of protection without creating more manual work. Shopify Flow example #4: Route bulk orders automatically This is a useful workflow when order handling depends on the products inside the cart. If an order includes items from a specific vendor, Shopify Flow can automatically send that vendor an email with the order details. That keeps the handoff fast and removes the need for someone on your team to spot and forward the order manually. Integrate Shopify Flow in your workflow ASAP If you are new to Shopify Flow, do not try to build ten workflows at once. The best first move is to start with 2 or 3 automations that solve real daily problems, like low-stock alerts, first-time customer tagging, or risky order review. When I set up Flow for stores, the biggest wins usually come from removing small repeated tasks. Once those basics are working well, it becomes much easier to add more advanced workflows as operations become more complex. FAQs 1. What is Shopify Flow? Shopify Flow is Shopify’s free automation tool that helps you handle repetitive store tasks without doing them manually. 2. Is the Shopify Flow app free? Yes. The Shopify Flow app is free to use for stores. 3. What does the Shopify Flow app do? Shopify Flow is Shopify’s automation tool for tasks inside your store and across connected apps. It lets you build workflows using triggers, conditions, and actions so you can automate things like tagging orders, flagging risk, sending alerts, and updating store data. 4. Is Shopify Flow only for Plus? No, Shopify Flow is not only for Plus. It is available on Basic, Grow, and Advanced plans. 5. What Shopify plans include Shopify Flow? Shopify Flow is included on Basic, Grow, Advanced, and Shopify Plus. 6. What are some useful Shopify Flow triggers? Some useful Shopify Flow triggers for new stores are Order paid, Order created, Customer created, Product variant inventory quantity changed, and Order risk analyzed.

2 Min • 3 April 2026

Why Shopify Click and Collect Is a Game Changer for Local Businesses

Shopify Click and Collect is a game changer for local businesses because it combines the convenience of online shopping with the immediacy of in-store pickup. Customers can place orders online and collect them the same day, without paying for shipping or waiting for delivery. This guide will help you to know how it works and how to enable click and collect option in your Shopify store. What Is Shopify Click and Collect? Shopify Click and Collect is a fulfillment method that lets customers browse and buy products on your online store, then pick up their order at your physical location instead of waiting for home delivery. No shipping fees. No delivery delays. Just a seamless bridge between your online storefront and your brick-and-mortar shop. It's also called Shopify in-store pickup and Shopify has this built right into its platform, or extendable via third-party apps, depending on how much control you want over the experience. How Shopify In-Store Pickup Actually Works Here's the customer journey when you have Shopify in-store pickup enabled from their perspective: 1. Customer adds to cart and reaches checkout At the shipping step, they see a "Pick up at store" option alongside standard shipping. They select it. 2. They choose their pickup location If you have multiple locations, they can select the most convenient one. Shopify shows the address and available pickup windows. 3. Order is placed, you get notified You receive the pickup order in your Shopify admin dashboard. You can set it to require manual approval or auto-confirm instantly. 4. You mark the order as ready Once you've pulled the item and it's ready at the counter, you mark it "Ready for pickup" and Shopify automatically sends the customer a notification email or SMS. 5. Customer comes in and collects They present the order confirmation (or you look it up by name/order number). You mark it as "Picked up." Done.

6 Min • 16 April 2026

Shopify AOV: Average Order Value Calculation, Benchmarks & How to Find it?

To calculate Shopify AOV, divide your total revenue by the total number of orders. In Shopify’s Average order value over time report, AOV is calculated as (gross sales - discounts) ÷ orders, which can differ slightly from a quick manual calculation. To find AOV in Shopify, go to Analytics > Average Order Value Over Time. A lot of new Shopify store owners think they have a sales problem when they actually have an average order value problem. The Shopify merchants I work with do get excited because orders are coming in, but the cart value size stays too small. That usually shows up in one metric: AOV and you need to know how to calculate it. AOV stands for average order value. It tells you how much a customer spends, on average, every time they place an order. It’s very important to know how to calculate your Shopify AOV, benchmarks in your industry, and how to find it in your admin panel. The Shopify AOV (average order value) calculation is easier to understand than most new store owners think. In this guide, let’s break all of these down so new Shopify store owners can manage their sales. What is Shopify AOV in very simple terms? In simple terms, Shopify AOV tells you how much money a customer spends on average every time they place an order. For example, if 10 people place 10 orders and your store makes $1,000, your AOV is $100. I like this metric because it answers a very practical question for stores: Are customers building bigger carts, or am I only getting more orders? This difference matters. A store with high AOV can usually spend more on acquisition, recover shipping costs more easily, and grow faster without depending on offers. Shopify AOV: Average Order Value Calculation Formula The simplest Shopify AOV calculation formula is this: AOV = Total Revenue ÷ Number of Orders That is the version I use first when I explain it to beginners because it is easy to understand. Here is a quick example: Total revenue: $2,400 Total orders: 30 AOV: $2,400 ÷ 30 = $80 So your average customer order is worth $80. Now comes an interesting bit. Shopify’s own Average Order Value over time report uses a more specific definition. Shopify calculates AOV as: AOV = (Gross Sales - Discounts) ÷ Orders This formula excludes post-order adjustments. That means the number you see in Shopify reports can differ from a rough AOV calculation if you are counting edited orders, returns, or later changes. If you are checking AOV inside Shopify reports, use the number for monthly reports. If you are doing a manual check, use revenue divided by orders. But make sure you are using the same date range and the same type of revenue each time. Use the basic formula to understand AOV fast. Use the Shopify report formula when you are generating monthly reports. Calculated your AOV? Now know how to grow it. Finding your AOV in Shopify tells you where you stand. But improving it usually comes from giving customers a reason to add more before checkout. That is where apps iCart Cart Drawer Cart Upsell help store owners. With in-cart upsells, bundles, cross-sells, and free shipping progress bars, it gives Shopify merchants simple ways to lift average order value after you know your AOV figure. How to find AOV in Shopify admin panel? Inside the Shopify admin, you can view the average order value over time through Shopify’s analytics tools. Just go to Shopify admin > Analytics > Average order value over time This report is better because it shows movement over time instead of just giving you a single number. You can group it by hour, day, week, month, quarter, year, or even by day of the week or month of the year. That helps a lot when you are trying to spot patterns instead of reacting to one random dip. For a newer store, I usually would not check AOV daily unless order volumes are huge. Weekly and monthly checking of your store’s AOV is much better. Once you have the report open, change the date range. Check the last 7 days, then 30 days, then 90 days. After that, compare periods. Also, prepare a sheet of the updates you have made to increase AOV. This will help you track if an uptick in AOV happened when you did something specific. Did AOV go up after you added a bundle? Did it drop after I implemented a big discount strategy? Did it improve during a product launch? Key benchmarks for Shopify AOV based on industries Not every niche will have the same benchmark for average order value. There is no universal “good AOV.” A snack brand, a fashion brand, and a furniture or B2B parts store are never going to look the same. Product price, audience, market, and even country change the benchmark. Still, benchmark data gives you a rough place to start. A report by Littledata found that the average AOV for Shopify stores is $85, while the broader ecommerce average is $101. Doofinder’s benchmark report shows how widely AOV can vary by category. For example, Fashion sits at $81.74 Food at $97.54 Sports at $122.33 DIY, Construction, and Decor $162.85 Computers and Electronics at $348.96 Home and Decoration at $372.71 Education at $495.74 Jewelry and Accessories reach $1,057.80. Food Delivery is $36.22 Leisure and Free Time is $36.35 This is exactly what I’m talking about. AOV is only useful when you compare it to the right thing. The best comparison is usually this order: Your own past performance Stores similar to yours inside Shopify benchmarks That order gives you much better data on where you stand. One last thing about Shopify AOV If you are a new Shopify store owner, AOV is one of the first numbers you need to look into. Start with the basic Shopify AOV calculation formula. Then check the actual number inside the Shopify admin in the Analytics section. Then compare it over time instead of staring at one value and trying to guess what it means. That is how I’d approach it in a real store, too. Because once you understand the Shopify AOV (average order value calculation), it becomes easier to track store performance. You can see more clearly whether you need better pricing, better bundles, stronger cart offers, or simply a better product mix. FAQs 1. How to find AOV in Shopify? You can find AOV in your Shopify admin under Analytics by opening the Average order value over time report. 2. How to calculate Shopify AOV (average order value)? The basic formula is simple: AOV = total revenue ÷ total number of orders. If your store made $2,000 from 20 orders, your average order value is $100. 3. How does Shopify calculate average order value? In Shopify’s Average order value over time report, AOV is calculated as (gross sales - discounts) ÷ orders. Shopify also excludes post-order adjustments like edits or exchanges in that report, so the number may differ slightly from a basic AOV calculation. 4. Does Shopify’s average order value include shipping? In the sales report version, Shopify defines AOV as gross sales minus discounts divided by orders, which does not include shipping.