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Real AOV dashboard example

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

AOV dashboard example overview

With this performance monitoring dashboard example, you can easily monitor specific metrics such as website traffic, conversion rates, and bounce rates. Segment or break down the data by demographics, geographic location, or device type to gain valuable insights into user behavior.

Share your findings with teams or clients effortlessly using options like exporting to PDF, generating a shareable link, or directly sending via email. This way, you can collaborate and influence decisions based on the data presented on the dashboard.

Explore the data to answer questions like: What is the most popular landing page? Which marketing campaign drove the highest conversions? Are users from a certain region more engaged on our platform? Stay informed and make data-driven decisions with this powerful dashboard example.

Suggested data sources

Use cases

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
– AOV

Customers

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

Acquisition

– Cost per click (CPC)
– Click-through rate (CTR)
– Conversion rate (CR)

Dimensions

Campaign

– Target audience
– Campaign duration
– Campaign budget

Audience

– Age groups
– Gender
– Geographic location

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

A AOV report should include breaking down metrics by visibility (number of impressions, reach), engagement (click-through rate, average session duration), and conversion metrics (conversion rate, average order value). It should segment data by campaign (e.g., Summer Sale, Black Friday), channel (e.g., website, social media), audience (demographics, interests), content (e.g., blog posts, product descriptions), objective (e.g., brand awareness, lead generation), and date. For example, the report may provide visibility metrics for the Summer Sale campaign on social media targeting younger audience, engagement metrics for blog posts related to new product launches, and conversion metrics for lead generation objective through email marketing.
To analyze the data on this array, you should consider the following steps: 1) Choose metrics: Break down visibility metrics by impressions, reach, and click-through rates. Break down engagement metrics by likes, shares, and comments. Break down conversion metrics by conversion rate, cost per conversion, and return on ad spend. 2) Add context: Compare metrics against the goals set for each campaign, evaluate the cost per conversion in relation to the allocated budget, assess the data within a specific date range to identify trends, and compare the metrics against industry benchmarks to determine performance. 3) Segment data: Segment the data by campaign type (e.g., awareness, consideration, conversion), channel (e.g., Facebook, Instagram), audience demographics (e.g., age, gender), specific content or ad creative, objective (e.g., brand awareness, lead generation), and date to analyze the performance variations across different segments. For example, analyze the conversion rate for a lead generation campaign targeted at millennial females on Instagram during a specific date range.
To build an Average Order Value (AOV) dashboard, 1) connect your ecommerce platform and Google Analytics accounts to gather sales and customer data. 2) Select metrics such as total revenue, number of orders, and individual order values to monitor performance. 3) Segment data by campaign, marketing channel, audience demographics, product categories, customer content preferences, sales objectives, and date ranges. 4) Add filters for different time periods, product categories, or customer segments to make your report interactive. 5) Share your AOV dashboard via PDF, scheduled emails, or direct links to relevant stakeholders.

An AOV (Average Order Value) dashboard is a visual tool that displays the average amount spent each time a customer places an order, which is crucial for businesses to understand customer spending habits and profitability. Common tools used to create an AOV dashboard include Looker Studio, Excel, and Tableau, and key elements typically include total revenue, total orders, and calculated AOV. Real-time data monitoring is important as it allows businesses to make immediate decisions based on current data. 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.

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