Description

This value is calculated as (Current Period minus Previous Period) divided by the Previous Period. In cases where the Previous value is zero, 0% is shown.

Revenue earned. Depending on your settings, this is calculated with or without Tax, Shipping, Refunds, and Discounts.

Revenue minus Cost of Goods Sold. Cost of Goods Sold is the expenses directly associated with obtaining a product.

Number of Orders placed. If someone buys five products in one Order, this counts as one Order.

Total Products Sold. If there are two orders, one which includes four Products Sold, and one which includes five Products Sold, total Products Sold is nine.

Revenue divided by the number of Orders.

Total amount refunded. Refunds are reported by the date of the refund itself, not the original order date.

Visits to your website. (Also known as Sessions in Google Analytics). Data is pulled from your analytics platform, usually Google Analytics.

Orders divided by Visits. Combination of data from Maropost Commerce and your analytics platform.

Description

Shows data pulled from your Maropost Commerce webstore and other advertising sources.

Revenue without Tax, Shipping, Refunds, and Discounts.

(Revenue minus Cost of Goods Sold) divided by Revenue.

Revenue minus Cost of Goods Sold.

Total amount spent in all advertising channels that integrate with the application.

Gross Profit minus Advertising Spend.

Revenue earned. Depending on your settings, this is calculated with or without Tax, Shipping, Refunds, and Discounts.

Shows a monthly Revenue by channel breakdown of the last 13 months.

Will always show last 13 months no matter what date range you have selected in the global settings at the top of the page. Depending on your settings, this is calculated with or without Tax, Shipping, Refunds, and Discounts.

Shows a weekly Net Profit by channel breakdown..

Revenue earned. Depending on your settings, this is calculated with or without Tax, Shipping, Refunds, and Discounts.

Expenses directly associated with obtaining the product. When you purchase inventory from a third party, Cost of Goods Sold is equal to the expense associated with obtaining that inventory. If your store manufactures goods, COGS refers to the expenses directly associated with producing and selling products, for instance the cost of raw materials and packaging.

Revenue minus Cost of Goods Sold.

(Revenue minus Cost of Goods Sold) divided by Revenue.

Total amount spent on all advertising channels that integrate with the application. Note that Ad Spend cannot be filtered down.

Gross Profit minus Advertising Spend.

(Revenue minus COGS minus Advertising Spend) divided by Revenue.

Money spent on administrative tasks relating to Sales (e.g. refunds, shipping, tax and discounts)

Total amount collected for Shipping during the selected date range.

Total amount Refunded during the selected date range. Refunds are based off of the refunded date, not the original order date. For example, if an item was purchased on June 1 and refunded on June 5, we would report the refund as June 5, not June 1.

Sales Tax collected during the selected date range.

Total amount discounts during the selected date range.

Data pulled from within your Malchimp account.

Description

(no calculation)

(no calculation) Customer email address

(no calculation)

Revenue earned from the customer. Depending with Tax, Shipping, Refunds, and Discounts.

Shipping cost for the order.

Tax charged (if any).

Discount applied to the order

Amount refunded to the order (if any).

Incomplete / Complete / On Hold etc

Order State

(no calculation) Where the order has come from.

(no calculation) The campaign from which the customer has come from.

(no calculation) Source from which the customer came.

(no calculation) Device used by customer to place the first order.

Description

(no calculation) Customer Email address

(no calculation) Date customer first places an order

(no calculation) Date customer last placed an order

(no calculation)

(no calculation) Number of orders placed by the customer within the selected date range

Total times this customer used a discount to purchase. Discounts are counted from promo code or coupon codes only. This does not include markdowns on items that anyone can purchase.

Total times this customer received a refund.

Revenue earned from the customer. Depending on your settings, this is calculated with or without Tax, Shipping, Refunds, and Discounts.

Revenue divided by the number of Orders.

(no calculation) Customer city location.

(no calculation) Customer state location.

(no calculation) Customer country location.

(no calculation) Where the customer has come from.

(no calculation) The campaign from which the customer has come from.

(no calculation) Device used by customer to place the first order.

(no calculation) Source from which the customer came.

The number of days since the customer first visited your store.

Date of the customer’s last purchase.

Based on the customer’s relationship to the Lapse Point. Lapse Point is the point (in number of days) at which a customer is likely never to purchase again. Lapse Point is calculated by looking at Repeat Customers and their time between purchases. You can find more information about your store’s custom Lapse Point on the Customers > Future Value page.

Date of the customers first purchase.

The channel that first brought in this customer. This data is pulled from Google Analytics. If the Channel of Attribution is unknown it will be marked as ‘unknown.’

The total amount of Shipping Cost charged to this customer.

The total amount associated with the items the customer has abandoned from their shopping cart.

Description

(no calculation)

Total amount of customers in this segment, in the date range selected.

Total number of orders placed by the customers in this segment, in the date range selected.

Total amount of revenue generated from this segment of customers, in the date range selected.

Revenue divided by the number of Orders of the customers in this segment, in the date range selected.

Average Order Value times Purchase Frequency of the customers in this segment, in the date range selected.

Lifetime Value (Average Order Value times Purchase Frequency) to Customer Acquisition Costs (Advertising Spend divided by Customers.) A healthy LTV to CAC Ratio is 3 to 1. You want to have a return on your money three times higher than what you spend to gain a new customer.

Top 12 products purchased by this segment of customers, in the date range selected.

Note that the filters and date range do not apply to email campaign insights.

Total amount of emails that were sent from your email provider to this segment list.

Total amount of revenue generated from the emails sent from your email provider to this segment list.

Unique email opens divided by total emails sent.

Total clicks divided by email opens.

Orders divided by email opens.

Campaign name in your email provider.

Date that the email campaign originally started.

Customers who have always bought at your listed price, and who have never used a discount code.

Ranking your products by price, these customers buy from the bottom 10% of items.

Ranking your products by price, these customers buy from the top 10% of items.

Customers whose Average Order Value (AOV) is in the top 10%.

Ranking customers by the revenue they have generated, these customers are in the top 10%.

Customers who have always used a discount code when purchasing.

Customers that have been marked in the application to watch. (Favourite a customer on the individual customer’s profile.)

Customers with an Average Order Value (AOV) above the median AOV.

Customers who have purchased at least once.

Customers who have only made one purchase.

Customers who have placed two or more orders.

Customers who have placed three or more orders.

Customers who have received a refund.

Customers that set up an account but have never placed an order.

Customers who have added items to a cart but did not place an order.

Customers with an Average Order Value (AOV) below the median AOV.

Customers who have purchased once or more but have not made a repeat purchase in the last three months. (Date picker is not applicable.)

Customers who have purchased twice or more in the last twelve months (Date picker is not applicable).

Customers who have purchased once or more but have not made a repeat purchase in the last twelve months (Date picker is not applicable).

Customers who have purchased in the last 60 days (Date picker is not applicable).

Customers who actively purchase on your site and are well within the Lapse Point. Lapse Point is the point (in number of days) at which a customer is likely never to purchase again. You can find more information about your store’s Lapse Point on the Customers > Future Value page.

Customers who have received a refund in the last 60 days.

Customers who are within 20% of the Lapse Point and are at risk of never buying from your store again. For example, if your lapse point is 100 days, everyone at 80+ days since their last purchase would be At Risk. Lapse Point is the point (in number of days) at which a customer is likely never to purchase again.You can find more information about your store’s Lapse Point on the Customers > Future Value page.

Customers who have surpassed the Lapse Point since they last bought from your store. For example, if your Lapse Point is 100 days, everyone who hasn’t purchased in 100+ days would be considered Lost. Lapse Point is the point (in number of days) at which a customer is likely never to purchase again. You can find more information about your store’s Lapse Point on the Customers > Future Value page.

Description

Number of customers who set up an account but have never purchased.

Number of customers who have purchased more than four times.

Everything on this widget is based on Lapse Point. Lapse Point is the point (in number of days) at which a customer is likely never to purchase again. Lapse Point is calculated by looking at Repeat Customers and their time between purchases. Lapse Point is based off of your store’s historical data and is not customisable.

Customers who actively purchase on your site and are well within the Lapse Point.

Customers who are within 20% of the Lapse Point and are at risk of never buying from your store again. For example, if your lapse point is 100 days, everyone at 80+ days since their last purchase would be At Risk.

Customers who have surpassed the Lapse Point since they last bought from your store. For example, if your Lapse Point is 100 days, everyone who hasn’t purchased in 100+ days would be considered Lost.

Description

Average Order Value times Purchase Frequency.

Repeat Customers divided by total Paying Customers. Paying Customers customers who have made one or more purchase.

Total Orders divided by total Paying Customers.

For Repeat Customers, the average number of days between each purchase.

Average number of days from first purchase to last purchase. For customers who have only made one purchase, the relationship length is one day.

Customers who purchased for the first time during the selected time frame.

Customers who have purchased two or more times during the selected time frame.

Customers who purchase for the first time verses returning customers.

Customers who purchased for the first time during the selected time frame.

Customers who have purchased two or more times during the selected time frame.

Revenue divided by Ad Spend.

(Number of New Customers times Lifetime Value) divided by Ad Spend.

Average Order Value times Purchase Frequency.

Advertising Spend divided by New Customers.

Lifetime Value minus Customer Acquisition Cost.

Revenue earned. Depending on your settings, this is calculated with or without Tax, Shipping, Refunds, and Discounts.

Description

(no calculation) Product name and image extracted from your store.

(no calculation) Identifiers for each item within your store.

Revenue earned from this product in the selected date range. We calculate Revenue on an order-based level throughout our application, except for the Merchandise page. When Revenue is calculated on the Merchandise page, it has to be done on a product level versus on an order level. That means your Revenue data in the Merchandise page does not account for shipping costs. When evaluating overall Revenue you should look at the Performance and Overview pages for the most accurate calculations.

Total number of orders placed by the customers in this segment, in the date range selected.

Number of items sold within the selected data range.

Number of products refunded during the date range selected.

The amount of money refunded from this product, in the selected date range. Refunds are reported from the date of the refund itself, not the original order date.

Expenses directly associated with obtaining the product. When you purchase inventory from a third party, Cost of Goods Sold is equal to the expense associated with obtaining that inventory. If your store manufactures goods, COGS refers to the expenses directly associated with producing and selling products, for instance the cost of raw materials and packaging.

The total amount of Revenue minus Cost of Goods Sold, for this product in the selected date range.

Percentage of the profit made off of each product. (Price minus Cost of Goods Sold) divided by Price.

The number of items sold in the selected date range.

On average, the total number of product sold per day, based off of the date range you have selected.

Quantity Available divided by Velocity, that determines on average, the number of days left until the product will be out of stock.

Revenue earned from this product in the selected date range. We calculate Revenue on an order-based level throughout our application, except for the Merchandise page. When Revenue is calculated on the Merchandise page, it has to be done on a product level versus on an order level. That means your Revenue data in the Merchandise page does not account for shipping costs. When evaluating overall Revenue you should look at the Performance and Overview pages for the most accurate calculations.

The amount of money refunded from this product, in the selected date range. Refunds are reported from the date of the refund itself, not the original order date.

Description

Top products by quantity sold.

Products with the highest Gross Margin percentage with at least two sales.

Products with the highest Gross Profit amount.

Products that most often have a discount applied when purchased, sorted by number of times discounted.

Products with the largest growth in orders period over period.

Products with the largest drop in orders period over period. A negative Quantity Sold represents the change in Quantity Sold period over period.

Products that are most often bundled together.

Products that are most often refunded.

Products that are most commonly abandoned.

Top products sold by volume from Paid Search.

Top products sold by volume from Organic Search.

Top products sold by volume from Email.

Top products sold by volume from Social.

Top products sold by volume from a Referrer.

Products that customers most continually reorder.

Products that have less than 30 days of inventory left.

Description

(no calculation) Product name and image extracted from your store.

(no calculation) Identifiers for each item within your store.

(no calculation) Number of inventory products.

Number of items sold within the selected data range.

Percentage of units sold during the selected data range.

Percentage of the profit made off of each product. (Price minus Cost of Goods Sold) divided by Price.

The number of items sold in the selected date range.

On average, the total number of product sold per day, based off of the date range you have selected.

Quantity Available divided by Velocity, that determines on average, the number of days left until the product will be out of stock.

Revenue earned from this product in the selected date range. We calculate Revenue on an order-based level throughout our application, except for the Merchandise page. When Revenue is calculated on the Merchandise page, it has to be done on a product level versus on an order level. That means your Revenue data in the Merchandise page does not account for shipping costs. When evaluating overall Revenue you should look at the Performance and Overview pages for the most accurate calculations.

Expenses directly associated with obtaining the product. When you purchase inventory from a third party, Cost of Goods Sold is equal to the expense associated with obtaining that inventory. If your store manufactures goods, COGS refers to the expenses directly associated with producing and selling products, for instance the cost of raw materials and packaging.

The total amount of Revenue minus Cost of Goods Sold, for this product in the selected date range.

The amount of money refunded from this product, in the selected date range. Refunds are reported from the date of the refund itself, not the original order date.

Description

(no calculation)

(no calculation) Categories set within your eCommerce store.

(no calculation) Number of SKUs in the selected category.

Average percentage of the profit made off of each product in this category, in the date selected. Product Margin is calculated on an individual product basis as (Price minus Cost of Goods Sold) divided by Price.

(no calculation) Orders included for the selected category.

(no calculation) Quantity of products sold.

(no calculation) Products in inventory.

The sum of all Revenue earned from each product in this category, in the date selected. Depending on your settings, this is calculated with or without Tax, Shipping, Refunds, and Discounts.

Expenses directly associated with obtaining the product. When you purchase inventory from a third party, Cost of Goods Sold is equal to the expense associated with obtaining that inventory. If your store manufactures goods, COGS refers to the expenses directly associated with producing and selling products, for instance the cost of raw materials and packaging.

The sum of Revenue minus Cost of Goods Sold, for each product in this category, in the selected date range.

The sum of all Refunded amounts from each product in this category, in the date selected. Refunds are reported from the date of the refund itself, not the original order date.

Description

Manufacturers set in your eCommerce platform.

Number of SKUs in this category within the data range..

Price minus Cost of Goods Sold.

Number of Orders that have included a product from this category within the data range.

Number of items sold within the selected data range.

(no calculation) Number of inventory products.

Revenue earned from this product in the selected date range. We calculate Revenue on an order-based level throughout our application, except for the Merchandise page. When Revenue is calculated on the Merchandise page, it has to be done on a product level versus on an order level. That means your Revenue data in the Merchandise page does not account for shipping costs. When evaluating overall Revenue you should look at the Performance and Overview pages for the most accurate calculations.

Expenses directly associated with obtaining the product. When you purchase inventory from a third party, Cost of Goods Sold is equal to the expense associated with obtaining that inventory. If your store manufactures goods, COGS refers to the expenses directly associated with producing and selling products, for instance the cost of raw materials and packaging.

The total amount of Revenue minus Cost of Goods Sold, for this product in the selected date range.

The amount of money refunded from this product, in the selected date range. Refunds are reported from the date of the refund itself, not the original order date.