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How to use advanced analytics to sustain your brand's sales trajectory

Executive Summary
Life sciences organizations often miss their sales estimates due to medication non-adherence, high patient drop-off rates, or patients frequently switching to competing brands. Solving these challenges has been a major goal for pharmaceutical organizations for decades. In fact, studies show that 50 to 60 percent of patients with chronic illnesses miss doses, take the wrong doses, or drop off treatment in the first year. 1 Life sciences organizations often miss their sales estimates due to medication non-adherence, high patient drop-off rates, or patients frequently switching to competing brands. Solving these challenges has been a major goal for pharmaceutical organizations for decades. In fact, studies show that 50 to 60 percent of patients with chronic illnesses miss doses, take the wrong doses, or drop off treatment in the first year.1
So, what does it take to improve adherence rates, sustain the sales trajectory and stay ahead in the race?
By analyzing integrated patient data, life sciences organizations can segment patients based on a range of pre-defined parameters and design tailored interventions to support them – improving adherence levels, reducing drop-off rates, and eventually increasing brand sales. This infographic highlights how life sciences organizations can use advanced patient data and analytics for improved outcomes.
How to use Advance analytics visual

References

1. https://www.mckinsey.com/industries/life-sciences/our-insights/improving-patient-adherence-through-data-driven-insights

Authors

Vinod Badami
Vinod Badami
Vinod Badami
Nellai Srinivasan
Nellai Srinivasan
Nellai Srinivasan
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