This free sample contains Interest Scores for anonymized users with a high engagement and interest level in cereal products in the last 30 days. Reach and target breakfast eaters currently showing intent to purchase based on their online behavior and activities.
ShareThis collects real-time online behavioral data and signals from over 180 billion consumer interactions each year. Then use best-in-class data science to enable timely and actionable insights into the wants and needs of consumers. Accelerate growth in CPG with our global consumer interest data.
How ShareThis Interest Scores Work
ShareThis uses NLP and machine learning technologies to extract the contextual meaning of websites and their contents. We capture relevant intent signals associated with specific CPG product categories and calculate an interest score for every user in our network based on their engagement with these web pages. Scores above 1 represent higher than average interest. It identifies highly-engaged users within a category or users more inclined to consider and purchase products in that category.
This is an anonymized sample containing a subset of the ShareThis Interest Scores dataset for Consumer Packaged Goods.
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This listing offers one pricing dimension: Product Access (Units). You get access to the audience segment at no cost under the Free model. There are no tiers, instance sizes, or usage add-ons to compare. This audience data targets consumers who eat breakfast and show high interest in cereal products. You can activate this segment for programmatic ad targeting across digital channels once you subscribe.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants subscriber access to this single audience segment. It covers consumers who eat breakfast and show high interest in cereal products. Access lets you activate the segment for programmatic targeting across digital channels, from social to display to connected TV.
Once subscribed, how soon can I use this audience segment?
This is an off-the-shelf, pre-built audience segment. Off-the-shelf audiences are available for immediate activation across advertising platforms. You do not build or configure the segment yourself, so you can activate it programmatically for targeting once your subscription is active.
Where does the data in this segment come from and how is it built?
The data is collected in real time from a network of publisher websites in a consented manner. Natural language processing assigns meaning to web pages, and engagement behavior is mapped to user interest and intent. This builds the breakfast and cereal interest segment you activate.
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The breakfast cereal market is expanding driven by demand for convenient and nutritious breakfast choices. Ready to eat variants dominate while health oriented cereals with high protein and clean label attributes grow in popularity. Urbanization e commerce and product innovation shape future growth even as cost pressures and competition from alternative breakfasts challenge the market.
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Prosper has conducted the US Monthly survey since 2002 with approximately 7,500 U.S. Adults 18+ respondents each month. This dataset is a subset that begins in January 2010 and focuses on questions dealing with Food for consumption at Home as well as Away from Home. 12+ years of history. An excellent training dataset for AI & Machine Learning and Forecasting applications. Includes Covid-19 questions. Anonymous data. 100% Privacy Compliant. No PII Used. HIPAA and CCPA Compliant.