5. Medicare Medicaid 1960 1970 1980 1990 2000 2010 HMOs PPOs CDHPs Medicare Advantage Part D PPACA History of Transformation Assess – Benefits – Cost U.S. health care spending is $2.7 trillion going to $4.6 trillion in 2020 (20% GDP) Average health care costs for families insured through their employer is $19,393 $3,280 Employee out-of-pocket $4,728 Employee contribution $11,385 Employer contribution
14. EXAMPLE: Digital Segmentation * Digital Devices Digital Destinations * Digital Neighborhoods 2.0 Why consumers chose the digital devices they use Will they re-purchase and/or upgrade Who are early technology adopters vs. more conservative consumers What are their digital activities: professional, entertainment, education, buying, bill paying KNOW YOUR DIGITAL COMMUNITY By knowing digital attitudes and behaviors across range of technologies and devices marketers can deliver customized messages to customers via their most preferred digital media.
29. Customer Interaction Navigation resource and decision support If we ask customers to shop for benefits and engage in clinical decision-making, they need to be educated and supported about how to make smart economical individualized choices. Educate and guide your customers Provide information on price & quality Reward healthy behavior & choices Reinforce purchase with after-sale sale
31. Lindsay R. Resnick Chief Marketing Officer Phone 773.372.4961 Email [email_address] Web KBMGhealth.com Blog lindsayresnick.com Twitter @ ResnickLR Questions Comments Observations Opinions
Editor's Notes
Age-group labels are simplistic and often inaccurate. GENERATIONS reveals and describes unique segments of the population by analyzing U.S. consumers using: Age PLUS Individual traits Affluence Household and neighborhood characteristics Credit activity Most demographic and geo-based segmentation systems cross over age groups. GENERATIONS clusters uniquely focus on the distinctions within specific age ranges, resulting in: More accurate profiles of each segment Better differentiation between segments Clearer view of the prospect market by generation Better targeting of best prospects Fine-tuning of offers for specific audience More effective way to target and manage specific generational audiences
Age-group labels are simplistic and often inaccurate. GENERATIONS reveals and describes unique segments of the population by analyzing U.S. consumers using: Age PLUS Individual traits Affluence Household and neighborhood characteristics Credit activity Most demographic and geo-based segmentation systems cross over age groups. GENERATIONS clusters uniquely focus on the distinctions within specific age ranges, resulting in: More accurate profiles of each segment Better differentiation between segments Clearer view of the prospect market by generation Better targeting of best prospects Fine-tuning of offers for specific audience More effective way to target and manage specific generational audiences