As a Google Analytics user you are probably quite attached to the default reports in the user interface of Universal Analytics. It can be hard to make sense of the data in the BigQuery export tables.
Let me enable you to replicate the reports you're familiar with. I'll try to keep it basic here.
Product performance report
In the Conversions | (Standard) Ecommerce | Product performance report you'll find data about the performance of your ecommerce activities, segmented by
product sku and
-- this query will return no data as there is no standard ecommerce product data available in the sample data set select hits.item.productname as product, -- hits.item.productsku, -- hits.item.productcategory, sum(hits.item.itemquantity) AS quantity, count(case when hits.item.productsku is not null then hits.transaction.transactionid else null end) as unique_purchases, sum(hits.item.itemrevenue)/1000000 as product_revenue, ifnull(safe_divide(sum(hits.item.itemrevenue)/1000000,sum(hits.item.itemquantity)),0) as avg_price, ifnull(safe_divide(sum(hits.item.itemquantity),count(hits.transaction.transactionid)),0) as avg_quantity from `bigquery-public-data.google_analytics_sample.ga_sessions_20160801`, unnest(hits) as hits where totals.visits = 1 and hits.item.productname is not null group by product -- ,productsku -- ,productcategory order by product_revenue desc
Enjoying this post? Subscribe to the GA4BigQuery newsletter!
You will receive regular updates (max 1x/week) straight in your inbox. You can unsubscribe anytime.