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What differentiates OnSpot from its competitors?
What differentiates OnSpot from its competitors?

About OnSpot, Competitors, Competitive Advantages

Bill Joscelyn avatar
Written by Bill Joscelyn
Updated over a week ago

Our patented technology and platform delivers customized consumer insights and targeted advertising audiences using location analytics, demographics, digital visitor data, and more. Our audiences outperform based on:

  • Breadth and Depth of Data – The platform reviews tens of billions of MAIDs observations each day. We record in our database each observation using latitude/longitude and date/time stamp. In one month, we receive and process billions of location observations for millions of unique Devices each day

  • Clean Data – OnSpot continually monitors the quality and quantity of data provided by our sources and performs rigorous data cleansing to ensure that we offer access to the breadth and depth of location data required to deliver meaningful results from our platform

  • Lookback – OnSpot’s active platform provides a 12-month lookback, and the ability to request custom analytics with lookbacks up to 4 years

  • Analytics based on REAL data – OnSpot only uses actual observed and collected data for audiences and reporting. OnSpot does not extrapolate or pad audiences, foot traffic, or demographics with projections, extrapolations, or models from small-sample panels of real data like other companies with insufficient data breadth.

  • Audience insight – OnSpot delivers analytics based on household level demographic, financial, and interest data associated with device identifiers, not just zip-code based data.

  • User Control – OnSpot’s platform gives the user control in selecting the locations, date ranges, and precision for generating location-based audiences and reports to deliver the relevance and recency required by the user.

  • Audience Extension – OnSpot’s platform can provide one-click audience extensions that include other household members, real-life social connections (friends, co-workers, and non-household family members), and lookalikes based on demographics and behavior.

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