FrontSQL people is a household-level segmentation system that places each U.S. household into one of 60 segments based on that HH's specific consumer and demographic characteristics. FrontSQL people allows marketers to see the dramatic difference between the consumer behaviors of the affluent retiring couple right next door to the young family just starting out, and tailor their marketing programs appropriately.
FrontSQL people is applied to your customer data for quick accurate analysis which is immediately actionable at the household-level. This provides a common framework with which to view customers across your product mix and across your organization.
FrontSQL people: The Next Evolutionary Step in Consumer Segmentation.
Precise, household level segmentation - FrontSQL people segmentation is applied at an individual household level, not at a block group or larger. This enables greater precision of targeting and true accuracy of segmentation.
Superior differentiation between segments - The FrontSQL people life stage segmentation methodology results in a higher level of discriminatory power, providing inherently greater differentiation than classical segmentation models.
Accurate, fresh data reflects U.S. consumers today - FrontSQL people is driven by SBS Inc's InfoBase household data, known as the most accurate, current source of consumer data in the industry. With at least two updates per quarter, FrontSQL people assignments accurately reflect the dynamic nature of consumers today.
An integral part of an enterprise-wide Customer Data Integration solution - FrontSQL people acts a key element in SBS Inc's Customer Data Integration suite, enabling companies to recognize customers across the enterprise and to quickly act on the power of that knowledge.
Use FrontSQL people to Identify and Act on Opportunities within Your Marketplace
Accurately find more new customers that look like your most profitable customers
Identify under-performing consumer segments that are likely High Lifetime Value customers
Identify and retain customers that are "at risk" for churning
Grow the value of existing customer relationships by identifying up-sell and cross-sell opportunities
Track the performance of critical customer segments over time with consistency
FrontSQL people is applied to your customer data for quick accurate analysis which is immediately actionable at the household-level. This provides a common framework with which to view customers across your product mix and across your organization.
FrontSQL people: The Next Evolutionary Step in Consumer Segmentation.
Precise, household level segmentation - FrontSQL people segmentation is applied at an individual household level, not at a block group or larger. This enables greater precision of targeting and true accuracy of segmentation.
Superior differentiation between segments - The FrontSQL people life stage segmentation methodology results in a higher level of discriminatory power, providing inherently greater differentiation than classical segmentation models.
Accurate, fresh data reflects U.S. consumers today - FrontSQL people is driven by SBS Inc's InfoBase household data, known as the most accurate, current source of consumer data in the industry. With at least two updates per quarter, FrontSQL people assignments accurately reflect the dynamic nature of consumers today.
An integral part of an enterprise-wide Customer Data Integration solution - FrontSQL people acts a key element in SBS Inc's Customer Data Integration suite, enabling companies to recognize customers across the enterprise and to quickly act on the power of that knowledge.
Use FrontSQL people to Identify and Act on Opportunities within Your Marketplace
Accurately find more new customers that look like your most profitable customers
Identify under-performing consumer segments that are likely High Lifetime Value customers
Identify and retain customers that are "at risk" for churning
Grow the value of existing customer relationships by identifying up-sell and cross-sell opportunities
Track the performance of critical customer segments over time with consistency
