AOV, Mode, Median (P50), P75 By Products

AOV, Mode, Median (P50), P75 By Products

Understanding the nuances of customer behavior and product performance is vital for any Shopify merchant aiming to optimize their business. AngularView provides a suite of powerful dashboards that deliver insights into average order values (AOV), sales trends, and customer preferences. By leveraging these dashboards, merchants can make informed decisions to enhance profitability, streamline operations, and tailor their marketing strategies effectively.


Yearly AOV, Mode, Median (P50), P75 By Products

Tracking annual performance metrics like AOV and other percentiles helps merchants see the big picture. This dashboard consolidates yearly data to show trends in customer purchasing behavior, highlighting top-performing products and identifying areas for improvement.

  • How It Adds Value:
    • AOV provides a snapshot of your customers’ spending habits across the year, helping to determine the effectiveness of pricing strategies.
    • Percentile measures (Median and P75) illustrate the distribution of spending, highlighting outliers and consistent purchase behaviors.
    • The Mode metric reveals the most common purchase value, offering clues to the ideal pricing sweet spots for upselling or cross-selling.
  • Challenges It Solves:
    • Helps merchants identify seasonality and long-term trends.
    • Pinpoints products or categories that are underperforming over the year.
    • Clarifies whether customer acquisition strategies are yielding high-value buyers.
  • Tips and Tricks:
    • Use AOV as a benchmark to set realistic sales targets and evaluate promotional campaigns.
    • Combine percentile data with inventory analysis to avoid overstocking or understocking popular items.
    • Filter by specific product categories or vendors to get more targeted insights.
  • Example Use Cases:
    • A merchant analyzing annual sales data to plan next year’s inventory.
    • Assessing the impact of yearly discounts or loyalty programs on overall customer spending.
    • Identifying which products consistently rank in the P75 range to replicate their success.

Quarterly AOV, Mode, Median (P50), P75 By Products

A quarterly view is ideal for spotting short-term trends and adapting strategies. This dashboard offers a refined look at AOV and purchasing patterns over a three-month window.

  • How It Adds Value:
    • Highlights shifts in customer preferences and product popularity each quarter.
    • AOV trends help in gauging the success of recent marketing campaigns or product launches.
    • Percentiles uncover purchasing habits that may differ significantly from the yearly average.
  • Challenges It Solves:
    • Detects whether promotional efforts like flash sales are yielding significant changes in customer behavior.
    • Identifies emerging product trends before they plateau.
    • Adjusts pricing and inventory decisions based on recent data.
  • Tips and Tricks:
    • Compare quarterly AOV with yearly averages to identify growth or decline patterns.
    • Use Mode and Median to validate pricing changes or bundling strategies.
    • Regularly review the P75 data to ensure your top spenders are being retained and incentivized.
  • Example Use Cases:
    • Monitoring the impact of a summer sale campaign on quarterly profits.
    • Determining whether new arrivals are resonating with customers within the first three months.
    • Analyzing the spending patterns of repeat customers versus new buyers.

Monthly AOV, Mode, Median (P50), P75 By Products

Monthly dashboards are crucial for assessing the immediate outcomes of marketing efforts and customer engagement initiatives.

  • How It Adds Value:
    • Captures the direct impact of monthly promotions or seasonal demand on customer spending.
    • Offers a detailed breakdown of product performance to guide next-month planning.
    • Provides granular insights into how changes in inventory or pricing influence AOV.
  • Challenges It Solves:
    • Monitors whether short-term marketing campaigns are meeting revenue goals.
    • Identifies the effect of month-end discounts or events like Black Friday.
    • Spots anomalies in sales data, such as sudden spikes or dips.
  • Tips and Tricks:
    • Align monthly AOV insights with ad spend reports to assess ROI.
    • Use percentile data to identify products suitable for limited-time bundles or discounts.
    • Toggle additional columns for deeper insights into product-level contributions.
  • Example Use Cases:
    • Analyzing the performance of a newly launched product in its first month.
    • Reviewing customer spending during a month-long holiday sale.
    • Adjusting the next month’s stock levels based on P75 trends.

Weekly AOV, Mode, Median (P50), P75 By Products

Weekly metrics provide a pulse on your business, enabling agile adjustments to your strategy.

  • How It Adds Value:
    • Captures rapid changes in customer behavior due to marketing pushes or external factors.
    • AOV and percentiles help track weekly sales peaks and valleys for precise forecasting.
    • Identifies products that consistently perform or underperform within short periods.
  • Challenges It Solves:
    • Helps in quick decision-making for stock replenishment or discount adjustments.
    • Tracks the immediate outcomes of weekly promotions or email campaigns.
    • Reduces risks of missed opportunities by highlighting trends in real-time.
  • Tips and Tricks:
    • Analyze Mode data weekly to optimize pricing for high-demand products.
    • Leverage weekly AOV to decide if flash sales should be extended or concluded early.
    • Use P75 insights to ensure adequate inventory for best-selling products during peak weeks.
  • Example Use Cases:
    • Evaluating the impact of a weekend sale campaign on weekly revenues.
    • Responding to a sudden spike in demand for a product promoted in weekly newsletters.
    • Identifying days of the week with consistently high AOV to plan targeted promotions.

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