Real E-commerce Dashboard example

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

Meet the author

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

This E-commerce Dashboard example integrates multiple data sources to provide a centralized view of your online business performance. It is designed to streamline data from platforms like Shopify, Google Analytics 4, Facebook Ads, Google Ads, Klaviyo, TikTok Ads, Instagram Insights, and Facebook Insights.

With this dashboard, you can:

  • Monitor PPC campaigns across Google, Facebook, and TikTok.
  • Analyze traffic sources and conversion rates using Google Analytics 4.
  • Track sales performance and customer behavior on Shopify.
  • Evaluate email marketing effectiveness with Klaviyo data.
  • Gain insights from social media engagement on Instagram and Facebook.

This example is ideal for businesses looking to consolidate their e-commerce data into a single, actionable view.

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 visual tool that aggregates and displays key performance metrics and data related to online sales and marketing activities. It typically includes data from various platforms such as Google Analytics 4, Facebook Ads, Google Ads, Shopify, Klaviyo, and others. The dashboard provides insights into metrics like impressions, clicks, ad spend, conversion rates, CTR, ROAS, CPC, CPM, open rates, bounce rates, sessions, orders, and revenue. This helps businesses monitor and analyze their e-commerce performance, optimize marketing strategies, and make informed decisions.
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.