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Dropshipping Report template for Marketing teams and agencies

Get the actual Dropshipping on Looker Studio template used by Porter to monitor E-commerce performance.
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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

Dropshipping Report template overview

Optimize Your Dropshipping Strategy with Our Comprehensive Report Template
  • Track Key Metrics: Monitor essential e-commerce metrics such as Impressions, Clicks, Ad Spend, and Conversion Rate to evaluate the effectiveness of your marketing efforts.
  • Integrate Multiple Platforms: Seamlessly gather data from Google Analytics 4, Shopify, Google Ads, Facebook Ads, and Amazon Seller Central for a holistic view of your performance.
  • Analyze Campaign Performance: Use metrics like CTR, CPC, and ROAS to assess the success of your campaigns and optimize for better results.
  • Detailed Product Insights: Gain insights into Product Views, Orders, and Revenue to understand customer preferences and improve product offerings.
  • Customer and Campaign Details: Keep track of Customer Names, Campaign Names, Ad IDs, and Keywords to personalize marketing strategies and enhance customer engagement.
  • Real-Time Data Access: Share live links for real-time data exploration, enabling teams and clients to make informed decisions quickly.
Empower your marketing teams and agencies with actionable insights to drive growth and success in your dropshipping business.

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Use cases

Metrics and dimensions included

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

Features

100% custom charts

White-label

Custom metrics​

All-time historical data

Schedule email alerts​

Filters

Interactive

Goals​

Data blending

FAQs

A dropshipping report should include metrics that are broken down by visibility, engagement, and conversion. The data should be segmented by campaign, channel, audience, content, objective, and date. For example, including metrics such as impressions, clicks, likes, shares, conversion rate, and average order value can provide insights into the effectiveness of different campaigns, channels, and content in driving engagement and ultimately conversions.
To analyze dropshipping data, start by choosing visibility, engagement, and conversion metrics. For visibility, consider traffic sources and impressions. Engagement metrics could include click-through rates and bounce rates. Conversion metrics may involve conversion rates and average order value. Add context by comparing data against costs, date ranges, goals, and industry benchmarks. For example, compare CPC (cost per click) against the industry average. Segment data by campaign, channel, audience, content, objective, and date. For instance, analyze conversion rates per channel to identify the most effective marketing channels.
To build a Dropshipping dashboard, 1) connect your data and accounts from platforms like Shopify, Amazon, or eBay. 2) Select metrics such as sales, orders, revenue, and conversion rate to monitor performance. 3) Segment data by campaign, channel, audience, product, customer content, objective, and date to understand specific performance areas. 4) Add filters or buttons for interactivity, such as filtering by product category or date range. 5) Share your dashboard via PDF, scheduled emails, or links to relevant stakeholders.
A dropshipping dashboard is a tool used in e-commerce to monitor and analyze key performance metrics related to dropshipping operations. It integrates data from various platforms like Shopify, Amazon Seller Central, Google Analytics 4, and advertising channels such as Google Ads and Facebook Ads. The dashboard typically displays metrics such as impressions, clicks, ad spend, conversion rate, transactions, revenue, product views, orders, CTR, CPC, ROAS, sessions, and bounce rate. This helps businesses track their marketing efforts, sales performance, and overall operational efficiency in real-time.
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