Consumer goods companies are in the midst of a digital transformation.
They need to maximize opportunities with existing B2B channels such as retailers, independent grocery stores, convenience stores, and corner shops. As consumer buying behavior increasingly shifts online, they also need to expand and grow new D2C channels. Data and analytics will drive much of this shift and the right data means augmenting your internal data with external data signals that provide deeper insights and a more complete view.
Consolidating external data for analytics is resource and time consuming Explorium’s External Data Platform centralizes access to public, premium, and proprietary external data for business analysts, data scientists, and business leaders
Transforming, matching, and integrating external data is tedious work Explorium’s External Data Platform ML capabilities automatically match and integrate external data with your internal data accelerating time to value
Assessing the value of external data is inexact Explorium’s External Data Platform identifies the relevant external data signals and calculates the uplift in your ML models before deployment
The right external data is a competitive advantage.
Understanding the broader trends in the market and including that in your analytics and models will improve their performance. Integrate external data with your internal sources to improve decisions and outcomes for your business Learn more
Optimize field sales with lead generation and improved lead scoring There are over 1 million restaurants, 150,000 convenience stores, and 45,000 beer/liquor/wine stores in the USA alone. Selling to these establishments has always been difficult, many open and close quickly or move to different locations. Supplying your sales force with the right data and tools to better target these accounts will accelerate your sales process, close business, and build better relationships with your customers. The right data means augmenting your internal data with external data signals that provide deeper insights. Learn more
Enhance pricing & promotion strategies The right pricing and promotion strategy can boost sales. Simply launching one doesn’t mean it will work. Enhancing pricing and promotion strategies with external data sources can boost their ROI. Increased visibility into granular details such as web searches for “coupons”, number of retail stores in a specific location, and income levels in the surrounding areas enhances internal data sources. This enables you to create targeted strategies with higher likelihood of success. Learn more
Optimize marketing efforts through improved customer segmentation As more consumer goods companies establish online marketplaces, one of the biggest challenges you’ll face is understanding who your customers are and why they buy. Data scientists and market researchers use data to look for patterns, which can help inform new segmentation strategies based on predicted behaviors. Using external data in conjunction with your internal data and website analytics will give you a richer understanding of your customers’ needs and will enable you to communicate with and target existing and new customers more effectively. Learn more
If you’d like to know how you compare with other organizations in the pursuit of the most relevant 3rd-party data, then don’t miss our latest research.
Explorium’s External Data Platform improves analytics and machine learning. Explorium enables organizations to automatically discover and use thousands of relevant data signals to improve predictions and ML model performance. Explorium’s External Data Platform empowers data scientists and analysts to acquire and integrate third-party data automatically, cost-effectively, and in compliance with regulations.
Information that is available from government records and other sources available to the general public.
We partner with established tier 1, 2, and 3 data aggregators and niche data providers to source premium data. Data aggregators provide raw and modeled data.
Data we acquire, process, and standardize to create derived data. Derived data can be used to enrich internal data and build new or existing ML models
Example data signals for Consumer Goods
Review based information:
Business rating and reviews
Average pricing of businesses in area
Number of businesses nearby by category
Foot traffic information: number of visits in the area, places people visited on the same day, etc.
Tourist attributes: hotels and attraction characteristics (number of hotel rooms in an area, etc.)
Purchasing and spending behavior:
Likelihood to buy certain products
Spending information by industry: music, sports and leisure, travel, beauty, apparel, and more
Online spending habits
Credit card usage
View our Data Gallery to see more examples and learn more.
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