New tools to improve performance
If you don’t use Adobe Analytics, you can pull data from any of our 100+ one-click, native integrations or
from spreadsheets, databases and other APIs.
By connecting your Adobe Analytics account, you’ll be able to measure and report on the following:
What else can you track and visualize with our integration with Adobe Analytics?
There are many different metrics and metric combinations you can track using Adobe Analytics. And in Databox, you can quickly visualize 100s of Adobe Analytics metrics in a variety of different ways alongside all the important metrics from other data sources you’re using.
Read More about Databox’s Adobe Analytics integration to learn more.
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.
The Average Selling Price metric represents the average price at which a product or service is sold over a defined period of time. It is calculated by dividing the total revenue generated by the number of units sold.
The Average Time on Site metric in AdobeAnalytics measures the average duration of time that visitors spend on your website or mobile app over a defined period of time.
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.
The Add to Cart metric measures the number of times a user adds a product to their virtual shopping cart on an e-commerce website.
The Checkouts metric in Adobe Analytics measures the number of times that customers initiated the checkout process on your website or app, providing insights into purchase intent and checkout funnel performance.
The Conversion Rate metric measures the percentage of visitors who complete a desired action, such as making a purchase or filling out a form, out of all the visitors who interact with a website or digital channel.
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.
Page Views is a web traffic metric that measures the number of times a web page has been viewed by a visitor on a website. It counts every time a page is loaded or refreshed, giving insight into the popularity of the content on a site.
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.
Revenue per Visitor (RPV) is a metric that measures the average amount of revenue generated per visitor to a website or digital platform. It is calculated by dividing the total revenue generated by the total number of visitors. This metric helps to track the effectiveness of marketing campaigns and website performance.
The Units metric in AdobeAnalytics represents the total quantity of items or products sold, viewed, downloaded, or otherwise tracked within a specific time period. This metric helps measure the success and impact of marketing campaigns and product offerings.
Units per Transaction is a metric that measures the average number of products or items sold in each transaction, revealing the effectiveness of your sales strategy in promoting multiple items to customers.
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.
Visits metric represents the number of sessions or visits to your website over a specified period of time. It includes both new and returning visitors and is a key performance indicator for website traffic and engagement.
Sometimes, you’ll want to dive deeper into performance. When you need to customize this template (or any other dashboard) to
include different metrics, add metrics from different sources, etc., you can do so by using Databox’s Dashboard Designer.
The Designer allows you to easily drag-and-drop metrics and visualizations from any data source right into your dashboard.
Visualizing your performance data in a way that’s easy for everyone to interpret is the first step toward actually improving performance. So, what can you do when any of these metrics are trending down?
We’ve collected a few resources that contain tips from hundreds of other salespeople on how to improve conversions, close rate, and so much more.
Didn’t find what you’re looking for?
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