DTC report template for Looker Studio by Porter

Get the actual DTC on Looker Studio template used by Porter to monitor 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

DTC report template overview

With this performance monitoring template on Looker Studio, 1) monitor specific metrics such as website visits and conversion rates, and break down the data by device, referral source, and geographic location. 2) Share the insights through PDF, link, or email to influence teams or clients. 3) Answer questions like “Which referral source drives the highest conversion rate?” or “How does website performance vary by device type?” Streamline your performance monitoring and drive better decision-making.

Metrics and dimensions included

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

Metrics

Sales

– Revenue – Conversion rate – Average order value

Engagement metrics

– Total number of orders – Average order value – Order conversion rate

Acquisition

– Conversion rate – Click-through rate – Cost per acquisition

Dimensions

Campaign

– Demographic: Age, gender, income – Psychographic: Lifestyle, values, personality – Behavioral: Buying habits, usage frequency, brand loyalty

Audience

– Age – Gender – Socioeconomic status

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 DTC report should include visibility metrics such as impressions, reach, and click-through rates, engagement metrics like likes, comments, shares, and time spent per session, and conversion metrics including conversion rate, cost per conversion, and return on ad spend. The report should segment data by campaign (e.g., Black Friday sale), channel (e.g., social media platforms), audience (e.g., age groups), content (e.g., video ads), objective (e.g., lead generation), and date (e.g., monthly performance). For example, the report may highlight that the Black Friday campaign on Instagram had a higher impression rate and conversion rate compared to the campaign on Facebook.
To analyze DTC (Direct-to-Consumer) data, we need to include the following elements in the report: 1) Metrics breakdown: – Visibility metrics: Impressions, reach, website traffic. – Engagement metrics: Click-through rate (CTR), social media likes, shares, comments. – Conversion metrics: Conversion rate, sales revenue, average order value. 2) Contextual comparison: – Compare performance metrics vs cost: ROI, cost per conversion. – Compare data within a specific date range and against previous periods to track trends. – Compare performance metrics against campaign goals and set benchmarks for improvement. 3) Data segmentation: – Segment data by campaign: Analyze performance of different marketing campaigns separately. – Segment data by channel: Analyze the effectiveness of different marketing channels like social media, email, or SEO. – Segment data by audience: Analyze the performance for different target segments or demographics. – Segment data by content: Analyze performance based on the type of content used in campaigns (e.g., videos, blogs). – Segment data by objective: Analyze performance based on the specific objectives of each campaign (e.g., brand awareness, lead generation). – Segment data by date: Analyze performance trends and identify any seasonality patterns. For example, the report can showcase the CTR for a social media campaign targeting a specific audience segment. It can compare the cost per conversion of different marketing channels to identify which one is most cost-effective. Additionally, it can analyze the conversion rates and revenue generated from different campaigns to assess their overall effectiveness.
To build a DTC dashboard, 1) connect your data and accounts from various sources like Google Analytics, Facebook Ads, or Shopify. 2) Select the metrics to monitor performance such as sales, conversion rates, or customer acquisition costs. 3) Segment or break down data by campaign, channel, audience, product, customer content, objective, date. For example, you can segment data by a specific marketing campaign or a particular product. 4) Add filters or buttons to make your report interactive, allowing users to view specific data sets. 5) Share your dashboard via PDF, scheduled emails, or links to relevant stakeholders.
A DTC (Direct-to-Consumer) dashboard is a visual representation of key business metrics that helps companies track performance, identify trends, and make data-driven decisions. It is significant for businesses as it provides real-time insights, enabling them to respond quickly to market changes. Tools like Looker Studio are commonly used to create these dashboards, which typically include elements like sales data, customer behavior, and marketing campaign performance. Real-time data monitoring is crucial as it allows businesses to react promptly to any changes, ensuring optimal performance. 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.