Turn data into actionable customer intelligence.
From data hygiene to predictive models, analytics can help you understand existing customers and prioritize the next ones.
Analytics capabilities
Customer profiles
Explore demographic, geographic and behavioral characteristics of customer segments.
Lookalike & response modeling
Rank prospects using available predictors and relevant historical outcomes.
Lift analysis
Compare ranked-model performance with a random-selection baseline using appropriate validation.
Market penetration
Assess customer concentration and opportunity across ZIP codes or other market areas.
Data hygiene & appends
Improve the completeness and usefulness of the customer information informing your decisions.
Sample reports
Review examples of the insights and outputs available for qualifying projects.
What lift modeling can reveal
Ranked segments can help concentrate outreach where modeled response is stronger. The example below is illustrative and is not a guarantee of future performance. Segment definitions and validation should be confirmed before using the figures in a client proposal.
Illustrative example; results vary. The supplied graphic uses 5% ranked segments in places, so those should not be described as standard 10% deciles.
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