About conversions with basket data

Conversions with basket data is an extension to conversion tracking on your website or app. Using conversions with basket data, you can provide the details of products sold for each transaction. By providing this additional information, you can understand your ads performance better and drive further optimisations. You can unlock advanced sales, profit reporting and insights for your Google Ads account and campaigns, such as number of orders, average basket size, revenue and gross profit. Advanced reporting based on conversions with basket data is currently supported for Performance Max, Shopping ads and Search campaigns that are linked with a Google Merchant Center account.

Key benefits

A click on an ad may lead to the sale of products different than those actually featured. Implementing conversions with basket data enables you to view which items are purchased after your ads are clicked, and which items are your top sellers due to advertising. It also allows you to analyse cross-sell patterns and identify products that lead to bigger baskets or higher order values. Advertisers reporting conversions with basket data get:

Clear measurement of revenue and profit generated by supported Google Ads campaigns
Detailed reporting on items sold, basket size and average order value
Detailed reporting on cross-sell products (Shopping ads only)

Requirements

If you are already using Google Ads conversion tracking (GACT) or SA360 conversion tracking, you can simply add the basket data to your existing conversions tag. If you don’t already have conversion tracking in place, you’ll need to set up conversion tracking first. Alternatively, if you have Google Analytics 4 or Firebase conversions set up, you can import them into Google Ads to view conversions with basket data metrics.

The reporting and insights based on sold products include all conversions that meet the requirements below:

The conversions are biddable purchase conversions.
The conversions are using Google tag or Google Tag Manager.
SA360, Google Analytics 4 or Firebase conversions that are imported to the Google Ads account.

To unlock profit reporting, you’ll need to provide a value for the cost_of_goods_sold (COGS) attribute under 'Price & availability' in the data specification for your Merchant Center product feed. Learn more about Cost of goods (COGS) [cost_of_goods_sold].

Note: Only sales of items from a Google Merchant Center ID that is linked to the Google Ads account are processed for generating these reports and insights.

Learn how to Set up and test reporting conversions with basket data.

Unlock additional reporting metrics

When you submit basket data for your purchase conversions, Google Ads uses it to generate additional metrics and reports about your sales and sold products. Moreover, Google Ads combines the revenue from the sold items with their respective cost of goods sold (COGS) data that you provided in your Merchant Center feed, and uses it to generate additional metrics based on gross profit.

Basket conversion reports tell you what a customer bought after interacting with your ads. For example, assume that you’re advertising a pair of shoes. From your regular performance reports, you know that a purchase conversion has been attributed to advertising these shoes. However, you don’t know whether that customer bought the same shoes that you were advertising or if they bought another product. Basket conversion reports give you this information so that you know exactly what the customer went on to buy.

To summarise, by reporting your basket data, you can unlock advanced performance reports and insights to help you better understand your actual sales performance, such as:

How different bidding dimensions (device or geographic location, for example) affect basket size and average order value
Whether or not users bought items other than those featured in the ads that they clicked
Whether or not users bought the items featured in the ads they clicked
Which bidding entities (campaigns, ad groups, product or listing groups) drive product sales
Which bidding entities deliver the highest gross profit

With more data, you are able to better optimise your campaigns and make more informed business decisions. For example, based on your basket reporting insights, you may choose to bid more aggressively on products that lead to bigger baskets.

Key metrics available with basket data reporting

Reporting metrics are available in your statistics tables at Campaigns, Ad Groups and Products levels. The metrics that use basket data can be found under the 'Conversions' group of columns.

Attributed sales metrics

Attributed sales metrics measure the impact of a product as a lead generator. These metrics indicate whether the ad that featured the product results in sales of the product itself and/or leads to sales of other products. These metrics are calculated for all orders that are attributed to a click on an ad for a specific product. You can find these metrics in the Product page, Ad groups page, Campaigns page and the report editor. These metrics include the following:

Metric	Description
Orders	Orders is the total number of purchase conversions that you received attributed to your ads. How it works: You report conversions with basket data for completed purchases on your website or app. If a conversion is attributed to previous interactions with your ads (clicks for text or Shopping ads, views for video ads, among others) it’s counted as an order. Example: Someone clicked on a Shopping ad for a hat then bought the same hat and a shirt in an order on your website or app. Even though they bought two products, this would count as one order.
Revenue	Revenue is the total amount that you made from orders attributed to your ads. How it works: You report conversions with basket data for completed purchases on your website or app. Revenue is the total value of all the orders that you received attributed to your ads, minus any discount. Example: Someone clicked on a Shopping ad for a hat then bought the same hat and a shirt in an order from your website or app. The hat is priced £10 and the shirt is priced £20. The entire order has a £5 discount. The revenue from this order is £25 = (£10 + £20) - £5.
Cost of goods sold (COGS)	Cost of goods sold (COGS) is the total cost of the products that you sold in orders attributed to your ads. How it works: You can add a cost of goods sold value to every product in Merchant Center. If you report conversions with basket data, the products you sold are matched with their cost of goods sold value and this can be used to calculate the gross profit you made on each order. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat and a shirt. The hat has a cost of goods sold value of £3, the shirt has a cost of goods sold value of £5. The cost of goods sold for this order is £8 = £3 + £5.
Gross profit	Gross profit is the profit that you made from orders attributed to your ads minus the cost of goods sold (COGS). How it works: Gross profit is the revenue that you made from sales attributed to your ads minus cost of goods sold. Gross profit calculations only include products that have a cost of goods sold value in Merchant Center. Example: Someone clicked on a Shopping ad for a hat then bought the same hat and a shirt in an order from your website or app. The hat is priced £10 and the shirt is priced £20. The hat has a cost of goods sold value of £3, but the shirt has no cost of goods sold value. Gross profit for this order will only take into account the hat, so it’s £7 = £10 - £3.
Gross profit margin	Gross profit margin is the percentage gross profit that you made from orders attributed to your ads, after taking out the cost of goods sold (COGS). How it works: You report conversions with basket data for completed purchases on your website or app. Gross profit margin is the gross profit that you made divided by your total revenue and multiplied by 100%. Gross profit margin calculations only include products that have a cost of goods sold value in Merchant Center. Example: Someone bought a hat and a shirt in an order on your website or app. The hat is priced £10 and has a cost of goods sold value of £3. The shirt is priced £20 but has no cost of goods sold value. Gross profit margin for this order will only take into account the hat because it has a cost of goods sold value, so it’s 70% = (£10 - £3)/£10 x 100%.
Average order value	Average order value is the average revenue that you made per order attributed to your ads. How it works: You report conversions with basket data for completed purchases on your website or app. Average order value is the total revenue from your orders divided by the total number of orders. Example: You received three orders which made £10, £15 and £20 worth of revenue. The average order value is £15 = (£10 + £15 + £20)/3.
Average basket size	Average basket size is the average number of products in each order attributed to your ads. How it works: You report conversions with basket data for completed purchases on your website or app. Average basket size is the total number of products sold divided by the total number of orders you received. Example: You received two orders, the first included three products and the second included two. The average basket size is 2.5 products = (3+2)/2.

In addition, some metrics are available in both variants as lead (sale of the advertised product) and cross-sell (sale of advertising a different product):

Metric	Description
Lead revenue	Lead revenue is the total amount that you made from products sold as a result of advertising the same product. How it works: You report conversions with basket data for completed purchases on your website or app. If the ad that was interacted with before the purchase has an associated product (Shopping Ads) then this product is considered the advertised product. Any product included in the order that the customer places is a sold product. If the advertised and sold products match, then the total value that you made from the sales of these products is shown under lead revenue. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat and a shirt. The hat is priced £10 and the shirt is priced £20. The lead revenue of this order is £10.
Cross-sell revenue	Cross-sell revenue is the total amount that you made from products sold as a result of advertising a different product. How it works: You report conversions with basket data for completed purchases on your website or app. If the ad that was interacted with before the purchase has an associated product (Shopping Ads) then this product is considered the advertised product. Any product included in the order that the customer places is a sold product. If these products don’t match then this is considered cross-sell. Cross-sell revenue is the total value that you made from cross-sell attributed to your ads. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat and a shirt. The hat is priced £10 and the shirt is priced £20. The cross-sell revenue of this order is £20.
Lead gross profit	Lead gross profit is the profit that you made from products sold as a result of advertising the same product, minus cost of goods sold (COGS). How it works: You report conversions with basket data for completed purchases on your website or app. If the ad that was interacted with before the purchase has an associated product (Shopping Ads) then this product is considered the advertised product. Any product included in the order that the customer places is a sold product. If the advertised and sold products match, then the revenue that you made from these sales minus the cost of goods sold is your lead gross profit. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat and a shirt. The hat is priced £10 and has a cost of goods sold value of £3. The lead gross profit of this order is £7 = £10 - £3.
Cross-sell gross profit	Cross-sell gross profit is the profit that you made from products sold as a result of advertising a different product, minus cost of goods sold (COGS). How it works: You report conversions with basket data for completed purchases on your website or app. If the ad that was interacted with before the purchase has an associated product (Shopping Ads) then this product is considered the advertised product. Any product included in the purchase is a sold product. If these products don’t match then this is considered cross-sell. Cross-sell gross profit is the revenue that you made from cross-sell attributed to your ads minus the cost of the goods sold. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat and a shirt. The shirt is priced £20 and has a cost of goods sold value of £5. The cross-sell gross profit of this order is £15 = £20 - £5.
Lead units sold	Lead units sold is the total number of products sold as a result of advertising the same product. How it works: You report conversions with basket data for completed purchases on your website or app. If the ad that was interacted with before the purchase has an associated product (Shopping Ads) then this product is considered the advertised product. Any product included in the order that the customer places is a sold product. If the advertised and sold products match, then the total number of these products sold is shown under lead units sold. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat, a shirt and a jacket. The lead units sold in this order is one.
Cross-sell units sold	Cross-sell units sold is the total number of products sold as a result of advertising a different product. How it works: You report conversions with basket data for completed purchases on your website or app. If the ad that was interacted with before the purchase has an associated product (Shopping Ads) then this product is considered the advertised product. Any product included in the order that the customer places is a sold product. If these products don’t match then this is considered cross-sell. Cross-sell units sold is the total number of cross-sold products from all orders attributed to your ads. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat, a shirt and a jacket. The cross-sell units sold in this order is two.
Lead cost of goods sold	Lead cost of goods sold (COGS) is the total cost of products sold as a result of advertising the same product. How it works: You report conversions with basket data for completed purchases on your website or app. If the ad that was interacted with has an associated product (Shopping Ads) then this product is considered the advertised product. Any product included in the order that the customer places is a sold product. If the advertised and sold products match, then the cost of these goods is counted under lead cost of goods sold. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat and a shirt. The hat has a cost of goods sold value of £3, the shirt has a cost of goods sold value of £5. The lead cost of goods sold for this order is £3.
Cross-sell cost of goods sold	Cross-sell cost of goods sold (COGS) is the total cost of products sold as a result of advertising a different product. How it works: You report conversions with basket data for completed purchases on your website. If the ad that was interacted with before the purchase has an associated product (Shopping Ads) then this product is considered as the advertised product. Any product included in the order that the customer places is a sold product. If these products don’t match then this is considered cross-sell. Cross-sell cost of goods sold is the total cost of the products sold that weren’t advertised. Example: Someone clicked on a Shopping ad for a hat, then bought the same hat and a shirt. The hat has a cost of goods sold value of £3, the shirt has a cost of goods sold value of £5. The cross-sell cost of goods sold for this order is £5.

Actual sales metrics

Actual sales metrics measure the actual products sold in orders. They can help you understand what people buy when they click on an ad. You can view these metrics in the report editor. In addition to all the metrics above, these metrics are available:

Gross profit: The total amount of profit from a product. This metric is only available if you provide the cost_of_goods_sold (COGS). Learn more about Cost of goods (COGS) [cost_of_goods_sold].
Revenue: The total amount of revenue from a product.
Units sold: The total count of sales of a product as a result of your advertising.

To save you time, CwCD offers several predefined reports that can answer specific questions about basket data.

Note:

If you have imported Google Analytics 4 or Firebase conversions, you may observe differences between the values for these metrics in your Analytics account and conversion with basket data metrics in your Google Ads account. It doesn't necessarily mean that your tracking implementation is wrong; it could simply be a result of the different tracking methods.

When you export Analytics goal-completion and e-commerce-transaction data to Google Ads, Google Ads performs different calculations of that data than Analytics does, so you'll observe some differences in calculated values between the two products even when the underlying data is the same. Learn more about comparing Analytics and Google Ads conversion metrics.

Conversions with basket data for search ads

Search ads aren’t associated with a specific product so you won’t find attributed sales metrics. However, actual sales metrics will be available for any products sold as a result of any clicks on your search ads. The sold products are identified using the Merchant Center feed linked to the Google Ads account which ran the search ads. You can link a Merchant Center feed to a Google Ads account even if it isn’t running Shopping or Performance Max ads.

Cross-device conversions support

To provide more complete reporting of metrics that use basket data, Google takes into account cross-device conversions. We use models based on aggregated and anonymous data from users who have previously signed into Google services. These models assign cross-device conversions that Google is unable to observe directly to metrics that use basket data. This approach allows us to provide reporting on cross-device behaviour that combines observed and modelled conversions without compromising user privacy.

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