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E-commerce Analytics Dashboard Excel Template

Optimize online retail performance with comprehensive sales analytics, conversion tracking, customer behavior analysis, and e-commerce KPI monitoring for data-driven growth.


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Maximize E-commerce Performance with Data-Driven Insights

E-commerce success depends on understanding customer behavior, optimizing conversion rates, and maximizing revenue per visitor. Our E-commerce Analytics Dashboard provides comprehensive tools to track all critical metrics from traffic to transactions for data-driven retail optimization.

From conversion funnel analysis to customer lifetime value, monitor every aspect of your online retail performance. Built for e-commerce managers, digital marketers, and business owners, this template helps you increase sales, reduce cart abandonment, and improve customer retention.

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Comprehensive E-commerce Sales Analytics

Revenue & Sales Performance

Track total revenue, average order value (AOV), and sales growth across different time periods. Analyze revenue by product categories, customer segments, and marketing channels.

Conversion Rate Analysis

Monitor conversion rates from traffic to sales with detailed funnel analysis. Track micro-conversions including product views, add-to-cart rates, and checkout completion rates.

Product Performance Analysis

Analyze product performance including bestsellers, slow-movers, and profitability by SKU. Track inventory turnover and identify opportunities for product mix optimization.

Cart Abandonment Analysis

Monitor cart abandonment rates and analyze drop-off points in the checkout process. Identify optimization opportunities to recover lost sales and improve conversion rates.

Customer Behavior & Retention Analysis

Customer Acquisition Metrics

Track customer acquisition cost (CAC) by marketing channel and campaign. Analyze new vs. returning customer ratios and identify the most effective acquisition channels.

Customer Lifetime Value (CLV)

Calculate customer lifetime value using purchase history and retention patterns. Segment customers by value and develop targeted retention strategies for high-value segments.

Repeat Purchase Analysis

Analyze repeat purchase rates, purchase frequency, and time between purchases. Identify customer segments with highest retention and develop loyalty programs.

Customer Segmentation

Segment customers based on RFM analysis (Recency, Frequency, Monetary value). Create targeted marketing campaigns and personalized experiences for different customer segments.

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Frequently Asked Questions

What's a good conversion rate for e-commerce?

The template provides industry benchmarks showing that average e-commerce conversion rates range from 1-4%, with 2-3% being typical for most industries. It includes benchmarks by industry and traffic source.

How do I calculate customer lifetime value?

The template calculates CLV using multiple methods including historical CLV (past purchases), predictive CLV (future value), and cohort-based CLV. It provides comprehensive CLV analysis and segmentation.

Can it integrate with my e-commerce platform?

The template is designed to work with data exports from major e-commerce platforms like Shopify, WooCommerce, Magento, and BigCommerce. It includes data import templates for each platform.

Does it track mobile vs. desktop performance?

Yes, the template includes device-specific analytics showing performance differences between mobile, tablet, and desktop users. It helps optimize the mobile shopping experience.

How does it handle seasonal variations?

The template includes seasonal analysis and year-over-year comparisons to account for seasonal trends in e-commerce. It helps separate seasonal effects from underlying business trends.

Frequently Asked Questions

If you question is not covered here, you can contact our team.

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How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.
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Optimize Your Online Store

Professional e-commerce analytics dashboard to increase conversion rates, boost customer value, and maximize online retail success.

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