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CoreBrand

CoreBrand

Overview

What is CoreBrand?

The Corebrand Foresight Cloud is an AI-powered platform that, according to the vendor, offers valuable insights for customer experience (CX) and marketing. This solution is designed to cater to businesses of various sizes and is targeted at marketing professionals, customer experience professionals,...

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Pricing

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What is CoreBrand?

CoreBrand Data Science by Tenet partners offers non-traditional measures of brand value and performance, through the CoreBrand Index (CBI). The data set, the CBI, tracks 1000 companies across 50 industries, providing quantitative measurements of familiarity and favorability among key business…

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Offerings

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  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is CoreBrand?

The Corebrand Foresight Cloud is an AI-powered platform that, according to the vendor, offers valuable insights for customer experience (CX) and marketing. This solution is designed to cater to businesses of various sizes and is targeted at marketing professionals, customer experience professionals, brand managers, data scientists, and consulting firms.

Key Features

Predictive modeling: According to the vendor, the platform utilizes sophisticated tools to predict future outcomes based on customer segmentation, acquisition, loyalty, churn, cross-sell, and lifetime value. This feature aims to assist companies in making informed decisions, improving marketing strategies, and enhancing customer retention efforts.

Omnichannel listening: Leveraging natural language processing (NLP), the platform, as claimed by the vendor, analyzes customer feedback, reviews, and social media conversations. This feature provides insights into customer sentiment, brand attributes, purchase drivers, and social media trends, guiding strategy, brand positioning, messaging, and pricing.

Advanced forecasting: The platform employs machine learning models, which, according to the vendor, continuously enhance forecasting accuracy over time. This feature enables precise predictions of media spend optimization, revenue, profit, SKU sales, and seasonality, aiming to shift decision-making from gut calls to data-driven precision.

Behavioral modeling: The platform analyzes patterns in data to understand and predict human behavior, utilizing machine learning algorithms to analyze data from sensors, social media, and other sources. According to the vendor, this feature helps detect ad campaign fraud, customer satisfaction anomalies, product quality problems, and service delivery issues.

Consulting services: The vendor offers design, development, and deployment of advanced data and analytics capabilities. Their hybrid approach combines human skills with AI capabilities, providing custom model design, data strategy and management, and data visualization services.

Data strategy, engineering, and management: The vendor claims to assist in migrating data assets to secure, scalable cloud-based database platforms. They enable access to large volumes of data from traditional and non-traditional sources, supporting a modern data architecture for improved data access and management.

Data visualization: The platform provides actionable and compelling insights through visualizations, including visualizations in Google Data Studio and other visualization tools. The vendor emphasizes their focus on organizing, improving, and communicating data stories for better decision-making.

Customer churn prediction: According to the vendor, the platform utilizes machine learning algorithms to analyze customer behavior and predict churn likelihood. This feature aims to help companies identify at-risk customers and take proactive measures to retain them, enabling resource allocation and personalized promotions to improve customer retention.

Sentiment analysis: The platform analyzes customer feedback, reviews, and conversations to understand customer sentiment, providing insights into customer attitudes and opinions towards a brand or product. According to the vendor, this feature helps improve customer experience, marketing campaigns, and brand positioning.

Brand performance measurement: The platform employs machine learning algorithms to measure brand perception, reputation, campaign performance, and communications performance. According to the vendor, this analysis of customer feedback and sentiment helps identify areas for improvement, optimizing branding efforts, marketing strategies, and market positioning.

Predictive marketing: The platform analyzes customer data to identify patterns and characteristics for customer segmentation, aiming to predict customer lifetime value and allocate marketing resources effectively. According to the vendor, this feature helps improve marketing campaigns and personalization by predicting customer churn and next-best-action.

CoreBrand Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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