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AOV

from Orders
Metrics type
Actionable
Units of measure
Money
Direction
More - better
Check frequency
Weekly
Description
Average Order Value (AOV) represents the average amount spent by customers per order, providing insights into purchasing patterns and revenue generation.
Why it is important
Monitoring the Average Order Value (AOV) is crucial for understanding customer purchasing behavior and revenue generation patterns. By tracking AOV, businesses can identify trends, segment customer groups, and implement strategies to increase order values, such as upselling, cross-selling, and targeted promotions.

Optimizing AOV helps businesses maximize revenue, improve profitability, and enhance overall financial performance.
Formula
Total Revenue / Paid Orders
Calculation example
If the total revenue generated was $10,000 from 200 paid orders,
AOV = 10,000/200 = $50
Related metrics
↩️ Affecting
- Average % of Discount
- Free Delivery Threshold
- % of Successful Cross-selling
- % of Successful Up-selling
- Average Price per Item
- Average Units per Item
- Average Items per Order

↪️ Affected
- Revenue

🔃 Connected
- Average % of Delivery Cost
- Average % of Promotional Items per Order
- AOV of First Orders
- AOV of Repeat Orders
- Attach Rate
- Average Tax Percentage per Order

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Suggested slices for dashboards
- Time
- Customer Segment
- Sales Channel
- Product Category
- Order Size
Questions to be Answered
1. What are the trends in average order value (AOV) over the past year, and are there any significant changes that can be attributed to specific factors such as pricing adjustments or changes in product mix?
2. How does the AOV vary across different customer segments (e.g., new vs. returning customers, high vs. low spenders), and are there any notable differences in purchasing behavior that influence AOV?
3. Can we identify any correlation between changes in AOV and overall revenue growth, and what strategies can be implemented to maintain or increase AOV over time?
4. How does seasonality or external factors (e.g., economic conditions, market trends) impact AOV, and how can these fluctuations be accounted for in forecasting and planning?
5. Are there any product categories or specific products with consistently higher or lower AOV, and what tactics can be employed to optimize AOV within each category?
Possible causes of worsening
🔹 Decreased product quality or selection. If the quality of products declines or the selection becomes less appealing to customers, they may spend less per order, resulting in a decrease in the average order value (AOV).

🔹 Poor upselling or cross-selling strategies. If upselling or cross-selling efforts are ineffective or poorly executed, customers may not be encouraged to purchase higher-priced items or add more products to their carts, resulting in a decrease in the average order value (AOV).

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