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CPG Data

CPG data is information about sales marketing and sales predictions generated by pre-determined datasets. It is used by companies to drive up conversions and ensure that their business is as profitable as possible. Datarade helps you find the best CPG datasets and databases.

Top CPG Data APIs, Datasets, and Databases

Find the top commercial CPG Data sets, feeds and streams.

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Digital Shelf Analytics

by DataWeave
Dataweave's Digital Shelf Analytics helps you audit four broad aspects of your brand in the online world. These include Share of Voice, content, product availability & pricing, and brand perception.
Quality90% Accuracy
+ 10 others
Use CaseContent Optimization, Keyword Analytics + 3 more
Available Pricing:
Yearly license
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Digital Shelf

by Edge by Ascential
Drive growth with actions prioritized by the five essential KPIs: Availability, Share of Search, Content Accuracy, Ratings/Reviews and Price/Promotions.
Use CaseOmnichannel Insights, Pricing Optimization + 4 more
Available Pricing:
Yearly license
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Top CPG Data Providers, Vendors, and Companies

Find the top CPG Data aggregators, suppliers, and firms.

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Based in United States of America

Retail Solutions is a data provider offering CPG Data, Point-of-Sale (POS) Data, and In-store Data. They are headquartered in United States of America.

Based in United States of America

Datonics was the first company to deliver third party audience data to programmatic platforms. Over the past decade, we have developed extensive relationships with shopping sites, product review si...

Based in United States of America

Shopping. Demographic. Location. Identity. Featuring 8,000 brand- and product-level segments, merchant names and addresses and location data. All data is at the INDIVIDUAL consumer level (not HH l...

Based in Singapore

DataWeave is an AI-powered SaaS platform that provides Competitive Intelligence as a Service to consumer brands and eCommerce businesses, enabling them to compete profitably and accelerate revenue ...

Based in United States of America

We combine the power of artificial intelligence and advanced machine learning to extract the most valuable information, with close to 100% data accuracy, and perform complex similarity matching to ...

Based in United States of America

The most powerful e-commerce competitive analytics platform - Allfactor Analytics

Based in United States of America

IRI Data Cloud is a data provider offering Targeting Data, Purchase Panel Data, Retail Market Data, Ecommerce Data, Shopper Data, Loyalty Card Data, Point-of-Sale (POS) Data, CPG Data, Retail Data,...

Based in United States of America

Nielsen is a data provider offering Consumer Data, Purchase Panel Data, Consumer Panel Data, Shopper Data, Ecommerce Data, In-store Data, Interest Data, In-Market Audience Data, Product Ownership D...

Based in Germany

GfK is a data provider offering Interest Data, Purchase Panel Data, Consumer Panel Data, CPG Data, POS Transaction Data, Demographic Data, Research Data, and Consumer Behavior Data. They are headqu...

The Ultimate Guide to CPG Data 2020

Learn everything about CPG Data. Understand data sources, popular use cases, and data quality.

What is CPG Data?

CPG (Consumer Packaged Goods) data is a sub-category of commerce data. It is information about any sales marketing actions a marketing team takes in the field and also refers to insights and sales predictions which are generated by predetermined datasets. It takes into account both product information and consumer behavior data which is relevant to retailers and producers and helps them maxmize their industry profits.

How is CPG Data collected?

CPG data is collected by compiling different other datasets to give a comprehensive overview of a company’s business. It collects consumer data from their online presence as well as important information such as product rating and reviews.
A CPG dataset will also take your company’s information. It will look at product availability as well as prices and promotions to make sure your profits are at their maximum.

What are the typical attributes of CPG Data?

There are certain different types of CPG data which are recorded in the CPG dataset:
Observational data - This administrational data such as inventory or availability of products. This can also refer to consumer data, such as customer demographics, purchase frequency and store/brand loyalty. It can additionally highlight where there was sales success/failure so you can improve your profits.
Activity data - Activity data refers to the specific actions your representatives take in the field, such as customer service. It analyzes the actions they take in store and the jobs they undertake so you can increase performance efficiency.
Sales Data - Finally, sales data gives sales insights such as how much of each product is sold at each store location and can be used to make sure that your brand is as profitable as possible. CPG datasets can provide sales trends and analysis of similar product sales as well as distribution statistics.

What is CPG Data used for?

CPG data is used by all retail businesses. It highlights product availability and price information to ensure that the business is running at its most profitable. It also provides an important look into customer behaviour and trends to help with marketing campaigns and promotional offers. This information can be used to increase brand visibility and perception to make sure that it is as successful as possible.

How can a user assess the quality of CPG Data?

The best CPG datasets will contain regularly updated information on your brands performance and inventory details. It is key to have as dataset that provides a comprehensive look into your businesses details so that you can make it as profitable as possible. Before buying consumer marketing data, always check the data provider’s reviews. Lastly, ask for a data sample before you buy from a provider to ensure that their CPG data is of the quality your business needs.

Categories Related to CPG Data

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Popular CPG Data Use Cases

Find out the most common applications of CPG Data.