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E-commerce cohorts dashboard template

Get the actual E-commerce cohorts dashboard template used by Porter to monitor your E-commerce performance.
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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 cohorts dashboard template overview

With this cohort analysis dashboard example, you can monitor specific metrics and gain insights into the performance of your business. For example, easily track key metrics such as customer retention rate, average revenue per user, and user churn rate. Segment your data by different cohorts, such as acquisition channel, customer type, or geographic location, to identify trends and patterns in user behavior. Suggest users share the dashboard via PDF, link, or email to influence teams or clients. By presenting the data in a visually appealing format, you can communicate the impact of your strategies and campaigns effectively. For instance, showcase the conversion rate improvement after implementing a new marketing campaign to impress clients or motivate your team to continue their successful strategies. Use the dashboard to answer important business questions. For instance, analyze which cohort of customers generates the highest lifetime value or identify the most valuable user acquisition channel. By understanding these insights, you can make data-driven decisions to optimize your marketing efforts, improve customer retention, and increase overall business performance.

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

– Conversion rate – Customer retention rate – Average order value

Engagement metrics

– Click-through rate (CTR) – Average session duration – Conversion rate

Visibility metrics

– Website traffic – Social media reach – Impressions

Dimensions

Campaign

– Demographic breakdowns: age, gender, income level – Geographic breakdowns: country, city, region – Psychographic breakdowns: interests, values, lifestyle

Audience

– Demographics (age, gender, income) – Psychographics (personality traits, values, interests) – Behavior (purchase frequency, product usage, brand loyalty)

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 Cohort analysis report should include metrics broken down by visibility, engagement, and conversion. Data should be segmented by campaign, channel, audience, content, objective, and date. For example, tracking the number of impressions, clicks, and conversions for a specific ad campaign on different social media platforms, targeting different age groups, with different ad formats, aiming to achieve different objectives, and analyzed over a specific time period.
To analyze the data for a Cohort analysis report: 1) Choose metrics such as visibility (e.g., impressions, reach), engagement (e.g., clicks, likes, shares), and conversion metrics (e.g., conversions, revenue). 2) Add context by comparing against cost (e.g., cost per impression, cost per click), date range (e.g., daily, weekly, monthly), goals (e.g., target conversion rate), rates (e.g., click-through rate), and benchmarks (e.g., industry average conversion rate). 3) Segment data by campaign (e.g., different ad campaigns), channel (e.g., social media platforms), audience (e.g., age groups), content (e.g., types of creatives used), objective (e.g., brand awareness vs. lead generation), and date (e.g., monthly cohorts). For example, to analyze the visibility metrics, compare the impressions and reach of different ad campaigns segmented by target audience groups or evaluate the number of clicks and click-through rate for various content types over a specific date range.
To build a Cohort Analysis E-commerce dashboard, 1) connect your e-commerce platform and Google Analytics accounts. 2) Select metrics such as conversion rate, average order value, and customer lifetime value to monitor performance. 3) Segment data by campaign, channel, audience, product, customer content, objective, and date. For example, you can break down data by new vs. returning customers, or by product categories. 4) Add filters or buttons to make your report interactive, such as a date range filter or a product category dropdown. 5) Share your dashboard via PDF, scheduled emails, or links.
A Cohort analysis e-commerce dashboard is a visual tool that tracks and analyzes the behavior of specific groups, or cohorts, over time to identify trends or patterns. It is significant for businesses as it helps in understanding customer behavior, improving customer retention, and optimizing marketing strategies. Tools like Looker Studio are commonly used to create these dashboards, which typically include key elements like cohort size, retention rate, and revenue per cohort. Real-time data monitoring is crucial as it provides up-to-date insights for quick decision-making. For learning how to create a marketing dashboard using Looker Studio, visit our YouTube channel: https://www.youtube.com/@porter.metrics.

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