Your Sales Report is a dashboard dedicated to analyzing the business impact of your iAdvize AI Shopping Assistant. It provides you with a clear and reliable view of how your 100% automated conversations influence your online sale, comparing your performance with that of your overall website.
Prerequisites
To benefit from all the indicators, your website must send e-commerce events to iAdvize.
- You use Google Tag Manager (GTM) with GA4 or UA EEC (Universal Analytics Enhanced E-commerce) or you use Shopify, collection is automatic, no action required on your side.
-
If not, the code snippet below allows you to send us the purchase events that will be consumed and then aggregated in our new sales report. This snippet must be triggered only on the order confirmation page.
<script>
window.dataLayer = window.dataLayer || [];
window.dataLayer.push({
event: 'purchase',
ecommerce: {
transaction_id: '0b5c1b88-629f-4c66-9d4a-65fd645d52ad',
value: 79.8,
currency: 'EUR',
items: [
{
item_id: 'ABC_702810',
quantity: 2,
price: 39.9
}
]
}
});
</script>
How to fill in the fields?
-
transaction_id: the unique order identifier (prevents duplicates) -
value: the total order amount (= sum of allprice × quantity) -
currency: the 3-letter currency code (EUR,USD...) -
item_id: the product identifier in your catalog -
price: the unit price of the product (not the total) -
quantity: the quantity purchased
📖 These fields follow the GA4 standard. For a complete reference, see the official Google Analytics 4 documentation.
Indicator Definitions
This report analyzes only your 100% automated conversations powered by your AI Shopping Assistant and excludes incorrect or unresolved responses (resolution rate), ensuring the reliability of the statistics presented.
If you were using the previous version of the sales report, you may notice discrepancies due to:
- The filtering criteria listed above (100% automated conversations, etc.)
- Data collection: this report uses Google Tag Manager (or equivalent) instead of the classic transaction tag in the previous version
- The reference date: sales are dated at conversation closure (vs. actual transaction date in the previous version)
| Indicator | Definition | Formula |
|---|---|---|
| Revenue | Total revenue generated by products purchased after a conversation with the AI Shopping Assistant | / |
| Assisted sales | Total number of sales completed following a fully automated iAdvize conversation | / |
| Attributed sales (bêta) | Total number of sales completed following a fully automated conversation by iAdvize where at least one purchased product was mentioned or recommended. The amount recorded corresponds to the total transaction value. | / |
| Revenue per conversation | Average revenue generated by each conversation closed with the AI Assistant | Revenue ÷ Number of closed conversations |
| Conversion rate | Percentage of conversations that resulted in a sale | (Number of orders ÷ Number of closed conversations) × 100 |
| Average order value | Average amount spent per transaction after a conversation with the AI Assistant | Revenue ÷ Number of orders |
| Orders | Total number of orders completed after a conversation with the AI Assistant | / |
Two complementary analysis levels
This report presents two distinct analysis levels:
1. Global metrics
Analyze your performance at the transaction level. When a transaction is attributed (at least one discussed product was purchased), the total order amount is counted in Attributed Sales (beta).
2. The "Top Performances" table
Analyzes performance at the product level. Only the amount of the specific product discussed and purchased is counted in that product's revenue.
Example: A visitor discusses product A at €100, then purchases A + B + C for a total of €500.
→ In global metrics: €500 in Attributed Sales
→ In Product A table: €100 in revenue
→ In global metrics: €500 in Attributed Sales
→ In Product A table: €100 in revenue
Your top performing products and categories
The Top Performances table allows you to identify your most discussed products and categories and visualize their associated commercial results.
The sales data presented is based exclusively on attributed sales: orders made by your visitors who interacted with your Assistant about this product before completing their order.
Available actions:
- Search : use the search bar to filter by name or ID (product or category)
- Sort : click on column headers to sort according to your criteria (conversations, orders, Revenue or conversion rate)
- Export : export the table in CSV format (current view or first 10,000 entries)
- Read conversations: access the conversations report to read the conversations in question
Product
For each product, you can view:
- Product name and ID
- Conversations : total conversations where this product was discussed
- Orders : sales volume for this product (after direct interaction)
-
Revenue : total revenue generated by sales of this product. Corresponds only to the amount of the specific product discussed and purchased (unit price × quantity).
If a visitor purchases multiple products in the same transaction but only discussed one, the table will display only the amount of that discussed product, while the global metrics will count the total transaction amount. - Conversion rate : percentage of conversations that resulted in the purchase of this specific product
A product is considered discussed in a conversation if it was mentioned either:
- because the visitor clicked on a starter linked to this product,
- because the AI Assistant presented it to the visitor.
Several different products can be discussed within the same conversation. In this case, each discussed product will see the conversations column increase by 1.
Since the report is based on your 100% automated conversations, on attributed sales and excludes incorrect or unresolved responses (resolution rate), the number of conversations displayed may therefore differ from the total number of conversations visible on your Conversations report.
Categories
On the Categories tab, you access the same indicators but grouped by product category.
The categories displayed come from the product catalog that you provided to iAdvize. They correspond to the categorization structure of your catalog.
If no category appears:
- verify that your catalog has a field for your categories (example: product_types) and that it is filled in
- If your catalog is up to date, this may mean that no product belonging to a category was discussed during the analyzed period.
- Category name and ID
- Conversations : total conversations where a product from this category was discussed
- Orders : sales volume for a product from this category (after direct interaction)
- Revenue : total revenue generated by sales of products from this category
- Conversion rate : percentage of conversations that resulted in the purchase of a product from this category
Conversations
A category can group several products, according to your catalog. A category is considered discussed as soon as at least one of its products is discussed in a conversation.
The # Conversation column displays the number of conversations in which at least one product from the category was discussed.
If several products belonging to the same category are discussed within a single conversation, this conversation will only count as 1 in the category total.
Example: If a visitor discusses 3 different products from the "Shoes" category in 1 single conversation, the conversation column for the "Shoes" category will increase by 1 (not 3).
FAQ
- Why doesn't the revenue in the "Top Performances" table match the total Attributed Sales?
This is normal. These two metrics analyze different levels:
- Attributed Sales (global metrics): total amount of transactions where at least one discussed product was purchased
- "Top Performances" table: amount of specific products discussed and purchased
Example: A visitor discusses Product A (€100) with your AI Assistant, then purchases:
- Product A: €100
- Product B: €200
- Product C: €200
- Total order: €500
Result:
- Attributed Sales: €500 (entire transaction)
- Product A revenue: €100 (only the discussed product)
- Products B and C: do not appear in the table (not discussed)