Your customers are using social media to make purchase decisions and to share their experiences and opinions regarding your brand. Are you able to identify key influencers and engage with them as part of a comprehensive marketing and customer contact strategy?
InsightSocial, by Speedeon Data®, uses the most relevant data to identify active users of Facebook, Twitter and other social networking websites. The InsightSocial model scores every U.S. adult with an individual social networking propensity rating.
Classifying Social Media Activity & Influence
To create InsightSocial, Speedeon Data acquires a survey that includes a stratified, statistically significant sampling of US consumers regarding usage of the major social networking websites. Using this data, individuals are classed based on level of overall activity and influence. The possibilities range from ‘Passionate Influencer’ to ‘Committed Non-User’.
Extending Insight Through Advanced Models
Speedeon Data matches the above survey data to our data repository file, which includes 500+ demographic, lifestyle, financial, segmentation, econometric and credit attributes. We then use advanced modeling techniques to segment and clone this sampling of individuals to a random sample from our individual and household consumer file. By using this methodology, Speedeon Data is able to apply these survey results to the larger universe with a high degree of reliability.
Improve Customer Engagement and Marketing With InsightSocial
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Modeling: Enhance your own customer models using InsightSocial data.
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Channel Optimization: Identify social media strategies and which individuals to pursue via social networking.
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Targeting: Target customers and prospects based on their likelihood to influence others on Facebook, Twitter, LinkedIn, etc.
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Suppression: Suppress non-influential individuals from mailing lists.
Click here to download a PDF of InsightSocial.
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 AT A GLANCE
InsightSocial
Uses of InsightSocial:
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Modeling
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Channel Optimization
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Targeting Customers & Prospects
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Suppression
InsightSocial Classifications:
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Committed Non-User
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Non-User
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Probable Non-User
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Likely Non-User
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Indeterminate
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Potential User
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Moderate User
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Active User
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Influencer
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Passionate Influencer
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