Amazon Attribution model
Product performance daily
Daily Amazon Attribution results per product: which ASINs your off-Amazon traffic sold, how much of it was brand halo, and how many buyers were new to the brand.
- Grain
- date_day x profile_id x advertiser x campaign_id x ad_group_id x asin x product_conversion_type
- Built from
- 2Raw tables
- 2Staging
- 1Core
- 1Analytics
- Reads from Amazon Attribution
- product_reportprofile
- Ships as
- Weld and dbt SQL, open source on GitHub
core.amazon_attribution.product_performance_daily
1-- core.amazon_attribution.product_performance_daily
2-- Daily Amazon Attribution results per product: which ASINs your off-Amazon traffic
3-- sold, how much of it was brand halo, and how many buyers were new to the brand.
4--
5-- Grain: date_day x profile_id x advertiser x campaign_id x ad_group_id x asin x
6-- product_conversion_type. Currency: the profile's.
7-- Depends on: staging.amazon_attribution.product_performance, .profile
8--
9-- The raw products report is keyed on product category, subcategory and name,
10-- not on ASIN. This model groups on ASIN and sums, so two rows that share an ASIN
11-- collapse into one. Amazon keeps 90 days of this report.
12
13SELECT
14 p.date_day,
15 p.profile_id,
16 pr.profile_name,
17 pr.currency,
18 p.advertiser_name,
19 p.campaign_id,
20 p.ad_group_id,
21 p.asin,
22 p.product_conversion_type,
23 ANY_VALUE(p.product_name) AS product_name,
24 ANY_VALUE(p.brand_name) AS brand_name,
25 ANY_VALUE(p.product_category) AS product_category,
26 ANY_VALUE(p.product_subcategory) AS product_subcategory,
27 ANY_VALUE(p.marketplace) AS marketplace,
28
29 SUM(p.detail_page_views) AS detail_page_views,
30 SUM(p.add_to_carts) AS add_to_carts,
31 SUM(p.purchases) AS purchases,
32 SUM(p.units_sold) AS units_sold,
33 SUM(p.sales) AS sales,
34 SUM(p.new_to_brand_purchases) AS new_to_brand_purchases,
35 SUM(p.new_to_brand_units_sold) AS new_to_brand_units_sold,
36 SUM(p.new_to_brand_sales) AS new_to_brand_sales,
37 SUM(p.brand_halo_detail_page_views) AS brand_halo_detail_page_views,
38 SUM(p.brand_halo_add_to_carts) AS brand_halo_add_to_carts,
39 SUM(p.brand_halo_purchases) AS brand_halo_purchases,
40 SUM(p.brand_halo_units_sold) AS brand_halo_units_sold,This model and the 3 it depends on. Deploy them together; refs like {{staging.…}} resolve to the matching folders in Weld, and the dbt view uses source() and ref().
Notes
How it counts. And where it stops.
The raw products report is keyed on product category, subcategory and name, not on ASIN. This model groups on ASIN and sums, so two rows that share an ASIN collapse into one. Amazon keeps 90 days of this report.
Raw tables it reads
- raw.amazon_attribution.product_report
- raw.amazon_attribution.profile
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