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Understanding Items Sold, Orders, and AOV in the Product View

Explanation on KPIs in the Product View: Revenue, Items Sold, Orders, and AOV

Written by Juan Garzon
Updated over 6 months ago

Overview

In the Product View of Kickbite, you’ll find key metrics that help you assess product performance across marketing channels. These include:

  • Items Sold

  • Orders

  • AOV (Average Order Value)

  • Revenue

Each metric reflects attribution logic, meaning values may be fractional depending on how the conversion is shared across channels (if you have a filter at the channel or a deeper level). This article explains how to interpret these metrics accurately.


1. Items Sold

What it shows:
The number of units sold for a specific product, adjusted for attribution.

Why decimals appear:
If multiple channels contributed to the sale, the product is split proportionally. For example:

  • 5 units of Product A were sold in an order attributed 60% to Channel A

  • Items Sold for Channel A = 5 × 0.6 = 3


2. Orders

What it shows:
The number of orders in which the product appeared, also weighted by attribution.

Example:

  • Product B was included in 1 order

  • That order was split 50/50 between Channel A and B

  • Orders for Channel A = 0.5


3. AOV (Average Order Value)

What it shows:
In the Product View, AOV represents the product's selling price, not the full basket or order value.

Example:

  • Product A was sold for €100

  • Regardless of how many were sold or which channel got attribution,
    AOV = €100


4. Revenue

What it shows:
Revenue reflects the total amount generated by a product, proportional to the channel’s attribution share.

Calculation:
Revenue = Items Sold × Product Price

Example:

  • Product A: 5 units sold at €100 each

  • Channel A receives 60% attribution

  • Revenue = 5 × €100 × 0.6 = €300


Why This Matters

Kickbite’s attribution engine ensures that performance data at the product level reflects the true contribution of marketing channels. This allows you to:

  • Evaluate campaign impact on specific products

  • Understand product performance across channels

  • Make better investment and creative decisions

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