NIQ Activate Description

Facilitating partnerships between retailers and brands to enhance customer value is essential in today's market. Through solutions that encompass omnichannel personalization, retail media, and data monetization, companies in the grocery, drug, and specialty sectors can thrive alongside their brand partners. The platform offers self-service customer analytics and targeted outreach, utilizing the power of automated data science. With AI-driven marketing interactions, businesses can engage with customers on a one-to-one basis across various channels effectively. Additionally, the platform provides seamless brand collaboration opportunities, allowing for monetization of data and media assets. By harnessing AI, NIQ Activate's retail media solution empowers retailers to improve their profit margins by streamlining the setup of their retail media network, featuring comprehensive data management, automated activation, and robust measurement & attribution capabilities. Furthermore, NIQ Activate equips retailers and brands to identify potential risks and seize opportunities for their promotional offers and advertisements proactively. By leveraging NIQ Activate's advanced predictive audience-building features, businesses can craft hyper-targeted advertisements that align closely with customer preferences while fulfilling brand objectives, ensuring a more effective marketing approach. This strategic integration ultimately leads to a more dynamic retail environment where collaboration flourishes.

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Company Details

Company:
NIQ Activate
Year Founded:
2014
Headquarters:
United States
Website:
niqactivate.com

Media

NIQ Activate Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Training Videos
Customer Support
Online Support

NIQ Activate Features and Options

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

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