Introduction to Ecommerce Analytics
Translating data into insights
In its purest form, ecommerce is about efficiency - serving a customer what they are seeking, so they have as few obstacles in making a purchase as possible. All of the guidance in this course is from experience running Trading and Content teams in both large and small-scale ecommerce businesses. It focuses specifically on site and product performance, which means that it is laser focused on identifying opportunities through data to take action right away. You will build your toolkit of metrics and gain confidence interpreting digital analytics.
The course materials can be found below with a limited number of lessons available to preview before purchasing.
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Chapter 1: Measuring Performance
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Core Trading Metrics
Learn the essential ecommerce metrics, including revenue, sessions, and CVR, and understand how they interconnect to drive performance.
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Product Relative Metrics
Dive into metrics like Add to Bag rates and Product Views to uncover insights that optimise product-level performance and customer engagement.
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Content Relative Metrics
Measure content effectiveness with metrics such as click distribution and attributed metrics to refine your site’s storytelling and user experience.
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Events & Session Usage
Unlock the power of event tracking to analyse user interactions and session behaviours, ensuring your site is optimised for conversions.
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The Digital Equation
Learn how to break down ecommerce success into its core components, revealing actionable insights for growth.
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Chapter 2: The Shopping Funnel
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The Ideal Funnel
Contrast the “perfect” funnel with the reality of user behaviour, where site entry points can be just as important as drop-offs.
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Home Page (HP)
Discover how to make your homepage a conversion-driving gateway, balancing inspiration and functionality to guide users deeper into your site.
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Search & Navigation
Understand how users navigate and search your site, and optimise these pathways to ensure they find what they need quickly.
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Product Listing Pages (PLPs)
Learn how to evaluate PLPs, focusing on improving click through and ensuring products are displayed optimally for conversion.
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Product Detail Pages (PDPs)
Analyse the effectiveness of your PDPs in converting visitors by highlighting key elements that build trust and drive action.
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Shopping Bag & Checkout
Gain a deeper understanding of user mindset at this critical stage and why overcoming barriers at checkout is one of the toughest challenges in ecommerce.
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Chapter 3: Product Catalogues
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Category Trees
Master the art of building intuitive category structures that improve navigation and drive discoverability across your product catalogue.
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Broad vs Narrow Assortments
Compare the benefits and challenges of broad versus narrow product ranges to enhance your experience with user needs.
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Seasonality & Trends
Understand how seasonal patterns and emerging trends impact performance, enabling data-driven planning and agile adjustments.
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Chapter 4: Forming Insights
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Distilling Data
Get to the root of a change in your data by thinking like a user when you interpret key metrics and transform them into actionable insights.
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Qualitative Data
Understand the value of direct user insight to bridge the gap between raw data and meaningful interpretation, driving smarter decision-making.
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Segmentation Techniques
Explore how to break down your audience into meaningful segments for targeted analysis and improved personalisation.
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Setting Benchmarks
Establish realistic expectations based on historical data and performance trends to guide your decision-making.
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Shaping a Narrative
Craft compelling stories from your data to communicate insights effectively and drive stakeholder buy-in.
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Sharing Your Reports
Discover best practices for presenting your findings, from report design to tailoring insights for different audiences.
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Chapter 5: Data Quality
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Implementation & Tagging
Ensure accurate data collection by understanding the basics of tagging and maintaining a robust implementation process.
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Not So Real Time
Explore the limitations of real-time data and learn how to manage latency to keep your analysis accurate and timely.
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Auditing for Accuracy
Develop a systematic approach to auditing your data to ensure consistency and reliability across all metrics.
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System Disparities
Identify and address discrepancies between different systems to maintain trust in your reporting and analytics.
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FAQs
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The course comprises of 5 chapters, from the introduction of metrics to modeling them for performance and fine tuning your insight commentary. You can preview 3 of the 24 lessons above for a sample of course content before purchase.
Learning materials are practical and based on industry experience but does not constitute business advice. For more information please see our Terms of Service.
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This course is ideal for not only those who are taking their first steps in digital analytics but also for expanding your perspective on what can be measured on your site.
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There are 24 lessons in total, so it would take a number of hours to read and digest the full course. You have lifetime access to all the course materials through your account to take as much time as you need.
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There is no experience required to understand the materials in this course, but if this is your first foray into analytics it would be worthwhile circling back to lessons as you go as there may be a lot of new terminology to become familiar with.