Integration Specifications

This document will help you understand the Circana data source and provide technical specifications for Daasity's integration and data model.

Circana is a syndicated data provider with extensive coverage across retail markets and categories. The Daasity x Circana integration pulls in data for weekly, quad-week, and aggregated time periods across all available geographies and product categories.

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Availability

This integration is available for all Enterprise merchants.

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Refresh Cadence

Circana data updates every four weeks, typically on the Monday of that week, for a total of 13 data updates per year. This is a standard cadence for syndicated data providers, including Nielsen and SPINS, although the frequency of data updates may vary by contract. After the data has been exported from the Circana platform or API and uploaded into Daasity, it typically takes less than an hour for the new data to be reflected in your data warehouse and reports.

(Click here to see the Circana data release calendar.)

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Where to Find This Data

Reports

• Omnichannel Dashboard

• Circana Dashboard

• Circana Scorecard

• Category Analysis Reports (URMS)

  • Brand and Category Performance

  • Key Drivers Analysis

  • Distribution Opportunities

  • Pricing Analysis

  • Promotional Evaluation

Explores

• Circana Explore

• Unified Retail Category Analysis (URMS) Explore

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Data Model

ERD

(Click here to view the ERD for the Daasity Circana integration illustrating the different tables and keys to join across tables.)

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Source Tables

Circana: Latest Period

• CSV File: Circana Latest Period

• Update Method: UPSERT

• Table Name: [retail.circana_lp]

CSV Column	Database Column
Geography	geography
Time Period	time_period
Time Period End Date	time_period_end_date
Product Universe	product_universe
Product Level	product_level
Category	category
Subcategory	subcategory
Department	department
Positioning Group	positioning_group
Brand	brand
UPC	upc
Description	description
SIZE	size
PRODUCT TYPE	product_type
PACK COUNT	pack_count
Dollars	dollars
Dollars, Yago	dollars_yago
Units	units
Units, Yago	units_yago
Max % ACV	max_pct_acv
Max % ACV, Yago	max_pct_acv_yago
TDP	tdp
TDP, Yago	tdp_yago
Number of Weeks Selling	number_of_weeks_selling
Number of Weeks Selling, Yago	number_of_weeks_selling_yago
Dollars, Promo	dollars_promo
Dollars, Promo, Yago	dollars_promo_yago
Units, Promo	units_promo
Units, Promo, Yago	units_promo_yago
Base Dollars	base_dollars
Base Dollars, Yago	base_dollars_yago
Base Units	base_units
Base Units, Yago	base_units_yago
# of Stores Selling	no_of_stores_selling
# of Stores Selling, Yago	no_of_stores_selling_yago
Dollars, Display Only	dollars_display_only
Dollars, Display Only, Yago	dollars_display_only_yago
Dollars, Feature Only	dollars_feature_only
Dollars, Feature Only, Yago	dollars_feature_only_yago
Dollars, Feature & Display	dollars_feature_and_display
Dollars, Feature & Display, Yago	dollars_feature_and_display_yago
Dollars, TPR	dollars_tpr
Dollars, TPR, Yago	dollars_tpr_yago
Base Dollars, Promo	base_dollars_promo
Base Dollars, Promo, Yago	base_dollars_promo_yago
Base Units, Promo	base_units_promo
Base Units, Promo, Yago	base_units_promo_yago
MD5(Geography + ':' + Time Period + ':' + UPC)	__sync_key

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Circana: WXW

• CSV File: Circana WXW

• Update Method: UPSERT

• Table Name: [retail.circana_wxw]

CSV Column	Database Column
Geography	geography
Time Period	time_period
Time Period End Date	time_period_end_date
Product Universe	product_universe
Product Level	product_level
Category	category
Subcategory	subcategory
Department	department
Positioning Group	positioning_group
Brand	brand
UPC	upc
Description	description
SIZE	size
PRODUCT TYPE	product_type
PACK COUNT	pack_count
Dollars	dollars
Dollars, Yago	dollars_yago
Units	units
Units, Yago	units_yago
Max % ACV	max_pct_acv
Max % ACV, Yago	max_pct_acv_yago
TDP	tdp
TDP, Yago	tdp_yago
Number of Weeks Selling	number_of_weeks_selling
Number of Weeks Selling, Yago	number_of_weeks_selling_yago
Dollars, Promo	dollars_promo
Dollars, Promo, Yago	dollars_promo_yago
Units, Promo	units_promo
Units, Promo, Yago	units_promo_yago
Base Dollars	base_dollars
Base Dollars, Yago	base_dollars_yago
Base Units	base_units
Base Units, Yago	base_units_yago
# of Stores Selling	no_of_stores_selling
# of Stores Selling, Yago	no_of_stores_selling_yago
Dollars, Display Only	dollars_display_only
Dollars, Display Only, Yago	dollars_display_only_yago
Dollars, Feature Only	dollars_feature_only
Dollars, Feature Only, Yago	dollars_feature_only_yago
Dollars, Feature & Display	dollars_feature_and_display
Dollars, Feature & Display, Yago	dollars_feature_and_display_yago
Dollars, TPR	dollars_tpr
Dollars, TPR, Yago	dollars_tpr_yago
Base Dollars, Promo	base_dollars_promo
Base Dollars, Promo, Yago	base_dollars_promo_yago
Base Units, Promo	base_units_promo
Base Units, Promo, Yago	base_units_promo_yago
MD5(Geography + ':' + Time Period + ':' + UPC)	__sync_key

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Circana: Quad Week

• CSV File: Circana Quad Week

• Update Method: UPSERT

• Table Name: [retail.circana_quad]

CSV Column	Database Column
Geography	geography
Time Period	time_period
Time Period End Date	time_period_end_date
Product Universe	product_universe
Product Level	product_level
Category	category
Subcategory	subcategory
Department	department
Positioning Group	positioning_group
Brand	brand
UPC	upc
Description	description
SIZE	size
PRODUCT TYPE	product_type
PACK COUNT	pack_count
Dollars	dollars
Dollars, Yago	dollars_yago
Units	units
Units, Yago	units_yago
Max % ACV	max_pct_acv
Max % ACV, Yago	max_pct_acv_yago
TDP	tdp
TDP, Yago	tdp_yago
Number of Weeks Selling	number_of_weeks_selling
Number of Weeks Selling, Yago	number_of_weeks_selling_yago
Dollars, Promo	dollars_promo
Dollars, Promo, Yago	dollars_promo_yago
Units, Promo	units_promo
Units, Promo, Yago	units_promo_yago