Real E-commerce dashboard example

Get the actual E-commerce dashboard example used by Porter to monitor your E-commerce performance.

Creator

Porter

This template is built by the same marketers behind all our tutorials, support, and our template gallery.

+40,000 marketers have downloaded our dashboards

Template setup

Copy-paste the same dashboards that other teams and agencies use to monitor their E-commerce performance

E-commerce dashboard example overview

With this E-commerce dashboard example, monitor specific metrics such as conversion rate, average order value, and bounce rate to track website performance. Break down the data by segments like customer demographics, referral source, and device type to gain insights on which segments are driving the most conversions.
Suggest users to share the dashboard findings via PDF, link, or email to influence teams or clients. This allows you to present data-backed recommendations on improving the user experience, optimizing marketing campaigns, and increasing sales.
Answer important questions like “Which marketing channel generated the highest revenue?” or “What is the average time spent on the website by returning customers?” to make data-driven decisions and improve overall e-commerce performance.

Metrics and dimensions included

Customize the template’s metrics and dimensions as you like. See all available fields.

Metrics

Sales

– Conversion rate
– Average order value
– Customer lifetime value

Customers

– Order conversion rate
– Average order value
– Order fulfillment time

Acquisition

– Click-through rate (CTR)
– Conversion rate
– Cost per acquisition (CPA)

Dimensions

Campaign

– Target audience
– Advertising channels
– Conversion rate

Audience

– Demographic dimension
– Psychographic dimension
– Behavioral dimension

Time

By hour, day, week, month, quarter, or year

Features

100% custom charts

White-label

Custom metrics​

All-time historical data

Schedule email alerts​

Filters

Interactive

Goals​

Data blending

FAQs

An E-commerce report should include visibility metrics such as impressions, reach, and click-through rates. Engagement metrics would consist of likes, comments, shares, and time spent on site. Conversion metrics should cover conversion rate, average order value, and customer acquisition cost. These metrics should be segmented by campaign (e.g., holiday sale), channel (e.g., Facebook, Google AdWords), audience (e.g., age, location), content (e.g., blog posts, videos), objective (e.g., brand awareness, sales), and date (e.g., weekly, monthly). For example, a report might show that a Facebook campaign aimed at young adults in the United States generated a high conversion rate during the holiday season.
To analyze e-commerce data, 1) choose visibility metrics like website traffic, impressions, and reach; engagement metrics such as click-through rate, average time on page, and bounce rate; and conversion metrics including conversion rate, average order value, and customer acquisition cost. 2) Add context by comparing against previous cost per click, date range performance, sales goals, average industry rates, and benchmarks. For example, comparing the conversion rate against the industry average of 2% or analyzing the cost per acquisition compared to the budgeted amount. 3) Segment data by campaign (Black Friday sale, summer promotion), channel (social media, email marketing), audience (millennials, women), content (video, blog post), objective (brand awareness, direct sales), and date (monthly, quarterly).
To build an e-commerce dashboard, 1) connect your data and accounts from platforms like Google Analytics, Shopify, or WooCommerce. 2) Select metrics such as sales, conversion rates, and customer retention to monitor performance. 3) Segment data by campaign, channel (like email, social media), audience demographics, product categories, customer content (like reviews), objective (like increasing sales), and date. 4) Add filters or buttons for metrics like region, product type, or time period to make your report interactive. 5) Share your dashboard via PDF, scheduled emails, or links to relevant stakeholders.

An E-commerce dashboard is a management tool that visually tracks, analyzes, and displays key performance indicators (KPIs), metrics, and key data points to monitor the health of a business, department, or specific process. It is significant for businesses as it provides a quick overview of business performance and aids in making informed decisions. Tools commonly used to create one include Looker Studio, Tableau, and Power BI, and key elements typically included are sales performance, customer behavior, and inventory status. Real-time data monitoring is crucial as it allows businesses to respond quickly to market changes. For learning how to create a marketing dashboard using Looker Studio, visit our YouTube channel: https://www.youtube.com/@porter.metrics.

Yes, Looker Studio allows you to download your report as a PDF. To do it, follow these steps:

Before downloading your report choose the date range you want to visualize on your report.
Click on the “File” menu at the top left corner of the screen.

Select “Download as” from the drop-down menu and choose “PDF.”

You can choose which pages you want to download, and also you can add a password to protect the report and add a link back to the online report.

Click on “Download” to save the report on your device.