Utilization of drive-time rather than distance radii
Reliance on individual household, business, and school data and their precise location (i.e., rooftop geocoding) rather than aggregated data at a zip or census tract level
Consideration of both daytime and residential populations
Evaluation of specific demographic cohorts and use of predictive modeling to identify likely patients
Sophisticated weighting of competition based on relative convenience
Evaluation of convenience and choice from the patient’s perspective—not the provider’s
Consultative approach that considers the client’s strategic intent
We know speed and flexibility allows you more time to respond and react to market changes. Our data analysts are the best in the business, giving you more time to spend on the business while we take care of the data.
We fix models built elsewhere that don’t work. How? Our Data Scientists know our data and are constantly using new techniques to squeeze more responses and better results for our clients campaigns.
Think we might be a good partner?
We have gathered many case studies showing how marketing managers are growing business by effectively using data and analytics with Altair.