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Consumer: Product Launch Analytics Database

Product Launch Analytics (PLA) database provides clients with a comprehensive resource to understand innovation and identify distinguished products, supported by an archive spanning over 30 years. This database tracks packaged and consumable goods—both retail and...
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Description

Product Launch Analytics (PLA) database provides clients with a comprehensive resource to understand innovation and identify distinguished products, supported by an archive spanning over 30 years. This database tracks packaged and consumable goods—both retail and online—across more than 500 markets, segments, and categories, including Food, Beverages, Personal Care, Household, Pet Care, and Tobacco. The platform captures around 20 fields of data per product, covering detailed ingredient and nutritional information, packaging specifications, and product claims. Innovation Ratings are provided across six key dimensions: formulation, merchandising, packaging benefit, positioning, technology, and new market. Designed to highlight truly innovative products amid a crowded marketplace, PLA focuses on noteworthy launches that go beyond “me-too” innovations. Thousands of products are launched daily, and this tool helps streamline the identification and analysis of the most impactful entries. The selection process considers a range of attributes, including formulation, flavors, ingredients, claims, packaging, shelf presence, target demographics, and marketing strategy. Each product entry is clearly categorized by innovation type, enabling users to search for “first-ever” launches as well as those that demonstrate category leadership. This makes PLA an asset for identifying trends, supporting strategic planning, and accelerating innovation analysis.

Data Characteristics

Historical Start Date 1980
Data Coverage 1,012,217 Records
Country Coverage 50 Countries
Company Coverage Public & Private
Number of Companies in Coverage 230,000 Manufacturers/Distributors
Collection Time Weekly
Lag Time upto 12 Months
Point in Time Data No
Data Forecasts No
Proprietary Data Yes
Taxonomies & Identifiers Industry - GlobalData Proprietary
Delivery Methods API

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