Our psychographics operate on a data-centric methodology sourcing parsed data from digital networks, consumption trends, habits and language (literal, colloquiums, vernacular, etc). We then apply our proprietary funnel system to filter the data and assign inferences based on proven correlations between specific data points and demographically known characteristics. After this, we combine all data from each digital touch point to highlight trend-based characteristics, certainties and marketing granularity.
For us to make a claim, we require our software to have at least a 95% confidence rating or above to make an estate of a single characteristic for any given output. This also relies on the relatively low covariance of each parsed data point, including iterative evaluation using established samples to calibrate the balance between depth of coverage estimates and our required accuracy percentage form our software.