This free sample contains Interest Scores for anonymized users with a high engagement and interest level in cleaning products in the last 30 days. Reach and target household shoppers 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 uses a single pricing dimension called Product Access (Units). It grants subscribers access to the data product at no cost. There are no tiers, instance sizes, or usage add-ons to compare. You subscribe once to unlock access. The data covers households actively shopping for cleaning products, delivered as an audience segment for targeting across digital channels. Because pricing is free, there is nothing that scales up or down based on volume or usage.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants subscriber access to the data product at no cost. This product covers households actively shopping for cleaning products. The data is delivered as an audience segment you can activate for programmatic targeting across digital channels, from social to display to connected TV.
How is this audience data delivered and where can I use it?
The audience segment is built from real-time signals observed across many websites, then mapped to user interest and intent. You can activate it programmatically across digital channels. Off-the-shelf audiences are available in marketplaces for immediate activation, so you can deploy targeting without building segments yourself.
Will my cost change as I use the data more or scale up targeting?
No. Pricing is free under the single Product Access dimension. There are no volume tiers, usage add-ons, or overage charges tied to how much you target or activate. Your cost does not scale up or down based on data volume or campaign size.
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This product contains a historical time-series data of the Real Median Household Income in the United States (MEHOINUSA672N) retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/MEHOINUSA672N. Data coverage starts from 1984-01-01. The unit of data column is 2019 CPI-U-RS Adjusted Dollars and the values are not seasonally adjusted. The update frequency is anually.
Companies use Household Spending Patterns to estimate their market share, potential and perform competitive analysis. For example, knowing that a household spends $6,500 annually on food in their trade area of 8,000 households, a supermarket can compare with their sales and estimate their gaps and potential as well as the competitive environment.
This is a sample dataset containing products listed on the Amazon.com portal in the Health and Household category. The full version of this dataset with 380K+ products is available upon request.
Financial institutions, insurance companies and collection agencies have been using this data product to find more new customers, manage loan risks and optimize potential and resources of collections. Not-for-Profit organizations use this data product to find more donors.