This document discusses using data analytics to power brand strategy for life sciences companies. It describes a scenario where a brand manager is overseeing the launch of a new drug and is responsible for meeting sales forecasts. The document notes that weekly sales data may not reveal underlying challenges and opportunities that analytics could uncover. It then introduces the Model N Brand ImpACT solution, which provides cohort modeling and other analytics to help brand managers track performance, understand physician prescribing behaviors, and make informed decisions that can improve launch trajectories.

1. POWERING
BRAND STRATEGY
FOR LIFE SCIENCES

2. Imagine…
• You are a Brand leader at a top Pharma company
• You are overseeing the launch of a new brand
• You are responsible for delivering the TRx forecast

3. Weekly TRx data has started dribbling in…

4. The early weeks: impressive growth
10,000
9,000
8,000
7,000
6,000
5,000
4,000
3,000
2,000
1,000
-
1 4 6 8 10 12 14 16 18 20 22 24 26

5. Growth needed to achieve forecast
10,000
Forecast
9,000
8,000
7,000
6,000
5,000
4,000
3,000
2,000
1,000
-
1 4 6 8 10 12 14 16 18 20 22 24 26

6. What can be lurking underneath?
10,000
Forecast
9,000
8,000
7,000
6,000
5,000
4,000
3,000
2,000
1,000
-
1 4 6 8 10 12 14 16 18 20 22 24 26

7. Brand Manager might not know…
10,000
Forecast
9,000
What would be the
8,000 IMPACT of receiving
7,000 insights in Week 10?
6,000
Cohort Model
5,000
4,000
3,000
What are the challenges of
2,000 Data → Insights → Action?
1,000
-
1 4 6 8 10 12 14 16 18 20 22 24 26

8. THE MODEL N SOLUTION

9. Brand ImpACT best practice analytics
New Start Cohort and
other segmentations can
be added
on-the-fly

10. Model N Brand ImpACT solution
Cohort performance can be
readily tracked via Brand
ImpACT

11. Visuals tell stories
Physician profiles
linked to “squares”

12. Knowing where and when to look can
alter the trajectory of a brand launch

13. What Model N offers is…

14. …an end-to-end analytics solution
for Marketing and Sales

15. Find out more at

16. Early-bird registration
is now open

17. For more information
www.modeln.com