Upload Shopify orders, get AOV trends, distribution analysis, and category breakdown. Free.
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Running average order value (aov) analysis analysis...
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Analyze another fileAnalyzes Average Order Value across time, product categories, and order size to find where revenue growth opportunities exist. Shows AOV trends, distribution of order sizes, and which categories pull AOV up or down.
Use this when you have Shopify order data and want to understand AOV patterns and find opportunities to increase order values.
If you need profitability (not just revenue), use Product Profitability. If you need customer segmentation, use RFM Analysis.
Built for: Shopify store owner, e-commerce manager, growth marketer
Typical data source: Shopify orders export CSV with order totals, line items, and dates
Shopify orders export
Minimum 50 rows · Best with 500-10000 orders
Analyze Average Order Value trends across time periods, product categories, and order characteristics to identify revenue optimization opportunities for Shopify stores.
AOV over time. Look for seasonal patterns (holiday spikes) and sustained shifts (pricing changes or product mix changes taking effect).
How order values are distributed. A long right tail means a few large orders skew the average. Median AOV may be more actionable than mean.
AOV by product category. Categories with high AOV are candidates for upsell bundles. Low-AOV categories may need minimum-order incentives.
How the number of items per order relates to AOV. If more items = higher AOV, bundle promotions work. If not, unit price is what matters.
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Need something simpler? Simple Trend — Just want a trend line on revenue over time
Need more power? Product Profitability — Need profit analysis, not just revenue/AOV
Similar: Geographic Analysis
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
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