CPG Purchase-based Audiences

**Overview**
Our industry-leading audience segmentation and targeting leverage real-world purchase behavior to help advertisers find their likely buyers. This approach is grounded in extensive data collection and advanced analytics:

DATA COLLECTION: NCS monitors billions of retail transactions across the CPG ecosystem. This comprehensive dataset captures consumer purchase behaviors, providing a robust foundation for audience segmentation. We understand how and where Americans shop, including grocery, drug, convenience, mass, big box, grocery delivery app, and e-commerce.

MACHINE LEARNING MODELS: Machine learning methodology analyzes and models purchase data. Insights derived from the machine learning models are used to project purchase behaviors onto every household in the U.S (127MM). This only NCS method enables us to identify and target audiences most likely to purchase particular products or categories.

Enhanced ROAS: NCS's purchase-based audiences generate three times more ROAS than other targeting strategies.

By focusing on actual purchase behavior rather than other less direct indicators, you’ll drive more ROAS and be left feeling NCSpecial.

**Use cases**
Effective at driving incremental sales in most use cases, including loyalty campaigns, product launches, competitor conquesting, win-back customers, customer acquisition, expanding TV reach, and many more. Target customers based on the product or category:

Heavy buyer loyal
Heavy buyer switcher
Heavy buyer low loyal
Heavy buyer, non-brand buyer
Medium buyer loyal
Medium buyer switcher
Medium buyer low loyal
Medium buyer non-brand buyer
Light buyer loyal
Light buyer switcher
Light buyer low loyal
Light buyer non-brand buyer
Non-buyers

**Product details**
Public household targeting segments are for the U.S. only and based on brand and category purchase activity.

Sample fields include:
Department, Super Category, Category, Sub Category, Brand high and Brand Low

**Additional Insights**
NCS observes billions in retail transactions across various sources, including grocery, drug, convenience, big-box, mass market, e-commerce, delivery apps, and receipt capture.

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