The Orders metric in Adobe Analytics measures the total number of completed purchases or orders made on your website or app during a specified time period.
With Databox you can track all your metrics from various data sources in one place.
The orders metric refers to the number of completed transactions made on a website.
It’s one of the most important metrics for any ecommerce website or online store as it directly showcases their performance and ability to convert visitors into paying customers.
Each order represents a successful conversion, where a user has gone through the entire sales process and completed the transaction.
Calculating orders for an online store comes down to simply counting the number of transactions made during a specific time frame.
Let’s say an ecommerce website saw these figures during a given month:
In this example, the total number of orders for the month of June would be 6, as there were six completed transactions within that time period.
The definition of a “good” number of orders can vary significantly depending on the size, industry, and specific goals of your online business.
Other factors that influence your orders include marketing efforts, how well you drive traffic to your website, how good your copy and design are, and similar factors.
For example, a good number of orders for an ecommerce site could range from a few hundred to several thousand orders per month. High-performing ecommerce websites might aim for thousands of orders per month or even more.
We even pulled out data from our Benchmark Groups product and found that a good number of orders in Shopify is around 300-400 orders a month, according to Shopify Benchmarks for All Companies.
For SaaS platforms, the number of orders is usually reflected in the number of new subscriptions or renewals. A good number of orders for a SaaS platform could range from a few dozen to a few hundred new subscriptions per month.
Furthermore, websites that sell niche or high-value products may have a lower number of orders but still achieve significant revenue due to the higher average order value. A few dozen to a few hundred orders per month might be considered good for such websites.
By the way, if you want to stay on top of future trends and be able to instantly compare your performance to companies just like yours (in any given industry), you can join our Benchmark Groups – it’s free for everyone!
More orders mean more revenue, greater brand visibility, and better customer engagement, so it’s no surprise that this is the key objective for pretty much every online store in the industry.
Let’s take a look at some of the most effective strategies that can lead to more orders and boost your bottom line:
More resources to help you improve:
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Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Orders using Databox, follow these steps:
Adobe Analytics dashboard template uses visits, conversion rates and customer loyalty to help you understand your customers as people — what they want, need, and believe.
The Return Visits by Frequency metric in Adobe Analytics measures how many times a user has returned to a website over a certain period of time, allowing marketers to track loyalty and engagement.
Bounce Rate is a website metric that measures the percentage of visitors who leave or "bounce" from a webpage without interacting or deepening their engagement.
Mobile Views is a metric that evaluates the number of views that a website or app receives from mobile devices like smartphones and tablets. It helps to understand the popularity of the digital property on smaller screens.
The Unique Visitors metric represents the number of distinct individuals who have visited a website or app during a specific time period, regardless of how many times they visited.
Revenue is a metric that measures the total income generated by a business through sales of products or services, calculated before deducting any expenses. It is a key indicator of a company's financial performance and growth.
The Average Order Value (AOV) is a metric that calculates the average dollar amount spent by a customer in a single transaction or order on a website or e-commerce platform.
Cost per View (CPV) is a metric used in advertising campaigns that measures the cost of each video view. It is calculated by dividing the total cost of the campaign by the number of video views and provides insights into the efficiency of video ads.
The Visits (traffic) by Top Traffic Sources metric shows the sources that have driven the most visits to a website, ranked by the number of visits received within a selected timeframe.