Understanding customer purchasing behaviors is essential for tailoring marketing strategies and optimizing revenue. AngularView’s “AOV, Mode, Median (P50), P75 By Customers” dashboards provide detailed insights into Average Order Value (AOV) and key customer metrics like mode, median, and percentiles. These dashboards allow you to assess customer trends across yearly, quarterly, monthly, and weekly timeframes, making them indispensable tools for Shopify merchants.
Yearly AOV, Mode, Median (P50), P75 Dashboard
When planning long-term strategies, yearly insights are invaluable. This dashboard highlights trends over the last three calendar years, providing a macro-level view of customer spending behavior.
- What It Highlights:
Default metrics such as “AOV,” “Mode,” and “Median (P50)” give a clear picture of average and common spending patterns. These measures help track shifts in customer behavior year-over-year. - What It Can Solve:
- Identify long-term changes in customer order values.
- Highlight customer segments that consistently generate high-value orders.
- Assess the impact of major policy changes or product offerings over time.
- Tips for Maximizing Insights:
- Toggle on additional measures like “Percentile 75” for deeper segmentation.
- Use dimensions like “Customer Display Name” or “Shop Name” to correlate spending patterns with specific customer groups or stores.
- Practical Example:
A merchant identifies a steady rise in the median order value over three years, confirming the success of premium product introductions.
Quarterly AOV, Mode, Median (P50), P75 Dashboard
The quarterly dashboard breaks down customer behavior, focusing on seasonal trends and the effects of short-term marketing efforts.
- What Makes It Useful:
This dashboard tracks quarterly shifts in customer order values, highlighting the effectiveness of campaigns or promotions. Default metrics like “Mode” and “Median” allow for precise comparisons between quarters. - How It Solves Problems:
- Pinpoint quarters with lower AOV to refine marketing strategies.
- Monitor the success of seasonal campaigns and adjust future efforts accordingly.
- Identify patterns among high-spending customers during peak seasons.
- Pro Tips:
- Enable optional measures like “Gross Profit Percentage” to assess profitability alongside customer spending.
- Pair “Mode” with “Currency Code” to analyze multi-region performance.
- Real-World Scenario:
A retailer sees a spike in AOV during Q4 due to holiday shopping and plans a similar campaign for next year to replicate the results.
Monthly AOV, Mode, Median (P50), P75 Dashboard
For operational decision-making, monthly dashboards are crucial. This view helps track detailed customer trends over the past 12 months.
- What It Provides:
Default metrics such as “AOV” and “Median (P50)” showcase short-term trends in customer spending, helping you stay agile. Dimensions like “Customer Email” or “Currency Code” allow for further segmentation. - Key Challenges It Addresses:
- Identify months with declining AOV and test corrective measures.
- Monitor the performance of newly launched products or services.
- Correlate spending patterns with specific customer segments.
- Tips for Better Insights:
- Use “Refund Item Value” to track how refunds affect monthly spending trends.
- Enable “Gross Profit” to ensure high-value orders align with profitability.
- Example in Action:
After launching a subscription service, a merchant notices an increase in the median order value in the first month, confirming the product’s success.
Weekly AOV, Mode, Median (P50), P75 Dashboard
For real-time tracking and immediate action, the weekly dashboard is indispensable. It captures granular data for the current year.
- Why It’s Critical:
Weekly metrics help you identify sudden changes in customer behavior. Default measures like “Mode” and “AOV” allow for quick assessments of weekly performance. - Problems It Solves:
- Respond to sudden drops in order values.
- Track the immediate impact of flash sales or weekly promotions.
- Ensure consistent customer engagement and spending.
- Pro Tips for Success:
- Enable “SKU Count” to see which product categories drive weekly revenue.
- Use “Customer Note” to analyze qualitative feedback alongside spending patterns.
- Success Story:
A merchant detects a decline in AOV during a specific week and identifies the issue: an expired discount code. By reactivating the code, they restore customer spending.
Unlock the Power of Customer Data
AngularView’s “AOV, Mode, Median (P50), P75 By Customers” dashboards are designed to help Shopify merchants make informed decisions. From yearly trends to weekly performance, these tools provide actionable insights for boosting revenue and customer satisfaction.