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What is NielsenIQ Revenue Optimizer?

To boost both revenue and profit margins, it's essential to implement a well-crafted pricing and promotional strategy. The NielsenIQ revenue optimizer provides manufacturers and retailers with essential tools to effectively manage and continuously enhance their revenue growth strategies. By leveraging advanced artificial intelligence, this solution identifies the most effective pricing strategies for both everyday and promotional items, ultimately maximizing profitability. With this cutting-edge revenue growth management tool, companies can gain faster and more efficient insights into their pricing and promotional efforts, ensuring they remain competitive in the market. Additionally, the proprietary AI capabilities of the NielsenIQ revenue optimizer empower businesses to improve their portfolio strategy development, fine-tune price and pack configurations, and enhance customer account planning. Moreover, it assists in refining promotion evaluations and trade strategies, creating a comprehensive approach to revenue management. This innovative strategy not only generates instant revenue but also lays the groundwork for lasting growth in the future. By embracing this technology, businesses can position themselves to adapt to market changes swiftly and effectively.

What is NielsenIQ Omnisales?

Gathering extensive sales data from both online and offline channels is essential for realizing the true capabilities of comprehensive omnichannel analysis. The carefully deduplicated data obtained through NielsenIQ’s proprietary techniques provides a clear multi-channel view by eliminating overlaps, thereby saving valuable time. Understanding the complexities of omnichannel sales and market share often requires integrating diverse data sources, which can result in the double-counting of sales and the challenging task of reconciling varying definitions and data sets. With NielsenIQ’s innovative deduplication and category alignment methods, you can remove ambiguity in data integration and focus on the results derived from accurate and clear information. By obtaining a detailed comparison of actual sales across online and offline platforms, businesses can effectively identify and rectify gaps in overall market analysis. This thorough strategy not only improves precision but also equips companies with the ability to make well-informed decisions based on trustworthy insights, ultimately fostering growth in their market strategies. Additionally, continuous monitoring of these metrics can lead to proactive adjustments that enhance overall business performance.

Media

Media

Integrations Supported

StoreSpace

Integrations Supported

StoreSpace

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NielsenIQ

Date Founded

1923

Company Location

United States

Company Website

nielseniq.com/global/en/solutions/nielseniq-revenue-optimizer/

Company Facts

Organization Name

NielsenIQ

Company Location

United States

Company Website

nielseniq.com/global/en/solutions/omnisales/

Categories and Features

Revenue Management

Competitor Analysis
Dynamic Pricing
For Airlines
For Hospitality Industry
Forecasting
Inventory Control
Price Optimization
Recommendation Engine
Yield Management

Revenue Operations

AI Insights
Account Health Dashboard
Automatic CRM Updates
Contact / Activity Tracking
RevOps Automation
Revenue Dashboard
Revenue Intelligence / Reporting
Sales Analytics
Sales Forecasting
Third-Party Data Aggregation

Categories and Features

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