> For the complete documentation index, see [llms.txt](https://learn.fueled.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learn.fueled.io/learning-center/recipes-and-open-source/working-with-ga4-data-in-bigquery/querying-device-information-for-shoppers-with-purchases.md).

# Querying Device Information for Shoppers with Purchases

If you are sending purchase events to Google Analytics 4 via the Measurement Protocol API, you cannot directly send geolocation or user device parameters to Google for the purchase.

However, if you're sending page\_view events client-side, and are stitching together the server-side purchase event tracking before sending to the Measurement Protocol API, you can use simple session stitching to build this report.

See the SQL script below. Update the `FROM` statement with your Google BigQuery dataset ID.

```sql
WITH UsersWithPurchase AS (
    -- Identify users who have made a purchase between Sept 19 to October 19
    SELECT DISTINCT 
        user_pseudo_id
    FROM 
        `PROJECT.DATASET.events_intraday_*`
    WHERE 
        event_name = 'purchase' AND
        event_timestamp BETWEEN UNIX_MICROS(TIMESTAMP("2023-09-19 00:00:00 UTC")) AND UNIX_MICROS(TIMESTAMP("2023-10-19 23:59:59 UTC"))
)

-- Retrieve device details for page views of users who made a purchase and group by device combination
SELECT 
    IFNULL(e.device.category, 'Unknown') AS device_category,
    IFNULL(e.device.mobile_brand_name, 'Unknown') AS device_brand,
    IFNULL(e.device.mobile_model_name, 'Unknown') AS device_model,
    IFNULL(e.device.web_info.browser, 'Unknown') AS browser,
    COUNT(DISTINCT e.user_pseudo_id) AS user_count
FROM 
    `ga-bigquery-integration-367223.analytics_266861172.events_intraday_*` e
JOIN 
    UsersWithPurchase u ON e.user_pseudo_id = u.user_pseudo_id
WHERE 
    e.event_name = 'page_view' AND
    e.event_timestamp BETWEEN UNIX_MICROS(TIMESTAMP("2023-09-19 00:00:00 UTC")) AND UNIX_MICROS(TIMESTAMP("2023-10-19 23:59:59 UTC"))
GROUP BY
    device_category, device_brand, device_model, browser
ORDER BY 
    user_count DESC
```


---

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