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Real Paid Ads E-commerce dashboard example

Get the actual Paid Ads E-commerce 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

Paid Ads E-commerce dashboard example overview

With this Paid Ads E-commerce dashboard example, monitor specific metrics to track the performance of your paid advertising campaigns. For example, monitor click-through rates, conversion rates, and return on ad spend to analyze the effectiveness of your ads. Break down the data by different segments, such as demographics, devices, or locations, to identify which segments perform better or worse.

Suggest that users can share the dashboard via pdf, link, or email to influence teams or clients. For instance, you can generate a pdf report showcasing the overall performance of your paid ads campaign and share it with your marketing team. Alternatively, you can send a link to your client, allowing them to access real-time data and make informed decisions.

Suggest examples of questions you can answer with the data. For example, you can determine which ad copy generates the highest click-through rates or identify the specific audience segment that has the highest conversion rates. Additionally, you can analyze the impact of different ad placements or time periods on the overall performance of your paid ads.

Suggested data sources

Use cases

Metrics and dimensions included

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

Metrics

Conversion metrics

– Cost per conversion
– Conversion rate
– Return on ad spend (ROAS)

Engagement metrics

– Total orders
– Order conversion rate
– Average order value

Visibility metrics

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

Dimensions

Campaign

– Target audience
– Ad placement
– Ad creative

Audience

– Age
– Gender
– 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 Paid Ads E-commerce report should include breaking down metrics by visibility (impressions, reach), engagement (click-through rate, engagement rate), and conversion (conversion rate, cost per conversion) metrics. The data should be segmented by campaign, channel (Google Ads, Facebook Ads), audience (age, gender), content (creative A, creative B), objective (traffic, sales), and date (daily, weekly). For example, a report could include the impressions and click-through rates for a specific campaign on Facebook Ads targeted towards women aged 25-34 with creative A and an objective of sales.
To analyze paid ads e-commerce data, follow these steps: 1) Choose metrics: Break down visibility metrics like impressions and reach, engagement metrics like click-through rate (CTR) and average session duration, and conversion metrics like conversion rate and return on ad spend (ROAS). 2) Add context: Compare metrics against cost metrics like cost per click (CPC) and cost per conversion (CPC), date range to identify trends and shifts in performance, goals to assess whether they are being met, industry rates to determine performance relative to benchmarks. 3) Segment data: Analyze data by campaign to understand performance of individual campaigns, channel to compare performance across various advertising platforms, audience to identify which audience segments are more responsive, content to evaluate the effectiveness of different creatives, objective to measure the success of specific ad objectives, and date to identify trends over time (e.g., holiday sales spike). For example, compare the CTR of Campaign A on Google Ads versus Facebook Ads, analyze the ROAS of the audience segment aged 18-24, and assess the conversion rate of ads with video content compared to static images.
To build a Paid Ads E-commerce dashboard, 1) connect your data and accounts from Google Ads, Facebook Ads, and your e-commerce platform. 2) Select metrics such as click-through rates, conversion rates, and return on ad spend to monitor performance. 3) Segment data by campaign, channel (Google, Facebook), audience demographics, product sold, customer content viewed, objective (brand awareness, conversions), and date. 4) Add filters or buttons for metrics, channels, and date ranges to make your report interactive. 5) Share your dashboard via PDF, scheduled emails, or links.

A Paid Ads E-commerce dashboard is a visual representation of key performance indicators (KPIs) related to paid advertising campaigns for e-commerce businesses. It is significant for businesses as it helps them track the effectiveness of their paid ads, optimize their marketing strategies, and improve ROI. Tools like Looker Studio are commonly used to create these dashboards, which typically include elements like click-through rates, conversion rates, cost per click, and overall ad spend. Real-time data monitoring is crucial in these dashboards to make timely decisions and adjustments. For learning how to create a marketing dashboard using Looker Studio, check out 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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