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With this report, you can identify trends in how users from different sources/mediums such as organic channels, ads, direct, email, SMS, etc engage with your website and their purchase conversion.\"}),/*#__PURE__*/e(\"p\",{children:\"Schedule this report to run automatically to always have the latest data right in your spreadsheet.\"})]});export const richText84=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ol\",{children:[/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Channel-Specific Performance Analysis:\"}),\" By examining user engagement and conversions across various traffic sources and mediums, stores can assess the performance of each channel. This analysis helps identify high-performing channels that drive meaningful engagement and conversions, enabling businesses to allocate resources strategically based on the channels that yield the best results.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Trend Identification and Seasonal Patterns:\"}),\" The report, presented daily, allows users to identify trends and seasonal patterns in user behavior across different traffic sources. Understanding how user engagement and conversions fluctuate over time helps businesses anticipate demand, plan marketing strategies for specific seasons, and optimize campaigns for maximum impact during peak periods.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"User Behavior Insights:\"}),\" E-commerce stores can analyze user engagement metrics to understand how users from different channels interact with the site, the duration of their engagement, and the frequency of their sessions. 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If certain payment methods are more frequently chosen, the e-commerce store can streamline the checkout process for those methods, reducing friction and enhancing the efficiency of transactions.\"]})})]})});export const richText97=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Order count\"})})})});export const richText98=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Date\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Payment Method\"})})]})});export const richText99=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/e(\"p\",{children:\"This report lists the top 100 previous customers who have not made any purchases in the last 30 days. 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This may involve targeted email campaigns, personalized promotions, or exclusive offers to encourage them to make a return purchase.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Last Order Date Analysis:\"}),\" Analyzing the last order date for each customer in the report allows businesses to understand the length of time since their previous purchase. This might give insight into possible reasons why some customers are now inactive. 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It gives a list of orders for product variants with customer, shipping, and additional information such as attribution details, which uses Shopify\u2019s first-visit (FV) session data.\"}),/*#__PURE__*/e(\"p\",{children:\"All this information can also be used as report filters, giving you the ability to create order segments to track by scheduling reports.\"})]});export const richText108=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ol\",{children:[/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Inventory Management and Product Performance Analysis:\"}),\" Businesses can analyze product orders, including SKU and variant details. The \",/*#__PURE__*/e(\"strong\",{children:\"Variant Sales over Time Hop\"}),\" can be used to track the revenue contribution of product variants. 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By categorizing customers based on their location, or order history, businesses can create personalized marketing campaigns.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Data-Driven Decision-Making and Business Intelligence:\"}),\" By utilizing the report filters, users can create custom order segments tailored to their specific needs. These segments can be used for in-depth analysis, allowing for the discovery of trends, identification of customer behavior patterns, and gaining valuable business insights.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Fulfillment Optimization and Customer Experience Enhancement:\"}),\" The fulfillment status and shipping information provided in the report are crucial for order processing and delivery. Businesses can streamline their fulfillment processes based on this data, ensuring timely and accurate deliveries.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Customer Service and Support Optimization:\"}),\" Detailed order information, including notes and tags, aids customer service representatives in providing efficient support. 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To clarify:\"}),/*#__PURE__*/r(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Gross Sales:\"}),\" This is the gross sale value of the filtered SKU that the customer purchased.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Total SKU Orders:\"}),\" Number of orders for the selected SKU by a customer within the specified time period.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"SKU:\"}),\" The SKU that this report is filtered for.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Total SKU Items:\"}),\" The quantity of the filtered SKU that was ordered by a customer within the specified time period.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Purchased Together:\"}),\" Other SKUs purchased by the customer in the same order as the selected SKU(s), across all orders made within the specified time period.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[\"L\",/*#__PURE__*/e(\"strong\",{children:\"ast Purchased Date:\"}),\" The most recent date that the customer made a purchase for the filtered SKU(s).\"]})})]})]});export const richText112=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ol\",{children:[/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Customer Segmentation and Personalized Marketing:\"}),\" Use this Hop to segment your customer base strategically. By understanding their purchasing patterns, create personalized marketing campaigns. For instance, customers loyal to a specific SKU can receive targeted product recommendations and exclusive promotions tailored to their preferences, fostering higher chances of recurring sales. Read how \",/*#__PURE__*/e(t,{href:\"https://www.airboxr.com/success-stories/how-cookd-creates-hyperpersonalized-customer-segments\",motionChild:!0,nodeId:\"C9nv8gIFS\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(i.a,{children:\"Cookd creates hyper-personalized customer segments with Airboxr\"})}),\".\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Enhancing Customer Service and Communication:\"}),\" Reach out to individuals who have purchased a particular SKU to collect feedback, offer post-sales assistance, or inform them about new products and special deals relevant to their past purchases.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Strategic Geographic Targeting and Market Expansion:\"}),\" Utilize city and region data to pinpoint areas where a specific SKU enjoys high demand and concentrate marketing efforts in these regions to optimize returns. Also, consider expanding your market presence based on the popularity of specific SKUs in particular areas.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Identify Anomalies in Sales Trends:\"}),\" Monitor unusual purchasing patterns, such as repetitive orders of the same SKU by a certain customer within a short timeframe. 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To go a step further, you can combine this report with our \",/*#__PURE__*/e(\"strong\",{children:\"Traffic Over Time Hop\"}),\" to better understand conversion/drop-off rates at different stages of your customer order journey.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Ad Spend Evaluation and ROI Assessment:\"}),\" The report includes the total daily ad spend across your social advertising channels allowing you to evaluate the effectiveness of your advertising campaigns by correlating ad spend data with sales and traffic metrics. You can also take a closer look at your daily ad channel performance with the \",/*#__PURE__*/e(\"strong\",{children:\"DTC Marketing KPIs over Time Hop\"}),\".\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Customer Retention Strategies:\"}),\" Monitoring the number of returning customers on a daily basis provides valuable insights into customer loyalty and retention. 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STR is a percentage indicating the proportion of items sold from the total stock received during a specific period. A higher STR signifies effective sales and efficient inventory utilization, while a lower STR indicates either excessive stock or insufficient sales.\"}),/*#__PURE__*/e(\"p\",{children:\"You can also filter this report by product title, SKU, or key metrics such as total sales or quantity.\"}),/*#__PURE__*/e(\"p\",{children:\"\uD83D\uDCA1 Make sure to select a date range that ends today (current day).\"})]});export const richText119=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ol\",{children:[/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Identifying High-Performing and Slow-Moving Inventory:\"}),\" The report enables e-commerce stores to identify high-performing products with a higher STR. These products, indicated by strong Total Sales and Daily Average Sold, are likely customer favorites. Simultaneously, the report highlights products with a lower STR, signaling slower-moving inventory. By understanding the performance of each product, businesses can allocate resources strategically, focusing on promotions and marketing for high-performing products and implementing targeted strategies to boost sales for slower-moving inventory.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Avoiding Excessive Stock or Stockouts:\"}),\" Maintaining an optimal STR helps businesses avoid the pitfalls of excessive stock or stockouts. Excessive stock ties up capital and may lead to markdowns, while stockouts can result in missed sales opportunities and dissatisfied customers. The report helps businesses strike a balance, ensuring they have sufficient stock to meet demand without overcommitting.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Implementing Seasonal Inventory Adjustments:\"}),\" Seasonal variations in sales demand can impact inventory management. By monitoring STR and Daily Average Sold metrics over different periods, e-commerce stores can identify seasonal trends and make informed decisions about adjusting inventory levels in anticipation of increased or decreased demand during specific seasons.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Informing Pricing Strategies:\"}),\" Understanding the relationship between Total Sales, Quantity Sold, and STR can inform pricing strategies. Products with a high STR may support premium pricing, while those with a lower STR may benefit from strategic pricing adjustments or promotions to stimulate sales.\"]})})]})});export const richText120=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Total Sales\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Quantity Sold\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Current Quantity\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Daily Average Sold\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Sell Through Rate\"})})]})});export const richText121=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Product Title\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Variant Title\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Variant SKU\"})})]})});export const richText122=/*#__PURE__*/r(n.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"The Frequently Bought Together Hop helps you gain insights into customers\u2019 buying patterns and identify relationships between products. It enables online stores to identify products that are often purchased together in the same order and make data-driven decisions about product bundling, cross-selling, and targeted promotions. This strategy can effectively boost sales by increasing revenue and attracting customers. This report is also known as a Market Basket Analysis.\"}),/*#__PURE__*/e(\"p\",{children:\"The report contains 3 metrics:\"}),/*#__PURE__*/r(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Support: This is the proportion of orders that contain both products A and B.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Confidence: This is the probability of purchasing product B if a customer has purchased product A.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Lift: How many times the probability of buying product B increases if product A is in the order cart.\"})})]}),/*#__PURE__*/e(\"p\",{children:\"The report above can be interpreted as such:\"}),/*#__PURE__*/r(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Barbie Art Studio Playset and Matchbox Hydro Car Wash make up 62.2% of all orders (Support).\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"The probability of buying of a customer buying Matchbox Hydro Car Wash if they have added Barbie Art Stuido Playset to their cart is 34% (Confidence).\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"A customer is 3.2 times more likely to purchase Matchbox Hydro Car Wash if Barbie Art Studio Playset is in their cart (Lift).\"})})]})]});export const richText123=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ol\",{children:[/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Product Bundling Strategy:\"}),\" These insights can inform merchandising on your website. Frequently co-purchased items can be bundled together on the website, making it convenient for customers to find complementary products. Effective product bundles can improve AOV and improve return on ad spend by encouraging customers to spend more on your website. A data-driven product bundling strategy helps you improve your CAC to LTV ratio, to justify spending more on your acquisition efforts.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Product Recommendations:\"}),\" By recommending complementary products to customers based on these patterns, stores can enhance the user experience, increase cross-selling opportunities, and boost average order value through effective bundling marketing strategies.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dynamic Pricing Strategies:\"}),\" Analyzing product combinations of complementary products can inform dynamic pricing strategies. E-commerce stores can offer discounts or cross sell bundles on frequently co-purchased items at a discounted price. This incentivizes customers to buy multiple products, increasing sales, profit margins, and customer satisfaction.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/r(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Inventory Management:\"}),\" Identifying product bundles and cross-sell associations assists in inventory clearance when you need to move slow-moving products. Further, products often bought together can be stocked closer to each other in the warehouse, streamlining the packing process and reducing distribution costs. It minimizes stockouts, ensures timely deliveries, and enhances overall operational efficiency.\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/r(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Targeted Remarketing Campaigns:\"}),\" E-commerce stores can create targeted marketing campaigns based on this report. Customers who buy one product from a popular combination can be sent personalized offers for related items. This personalized approach increases the likelihood of conversions and customer retention.\"]})})]})});export const richText124=/*#__PURE__*/e(n.Fragment,{children:/*#__PURE__*/r(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Support \"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Confidence\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Lift\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Est. 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