Jean-Patrick Tsang, PhD & MBA (INSEAD)
Tel: (847)920-1000
Email: bayser@bayser.com

Igor Rudychev, PhD
Tel: (847) 679-8278
Email: igor@bayser.com

What We Do

We provide insights and recommendations primarily for Marketing, Market Research, Sales Operations and Outcomes Research.  We recommend strategic promotional decisions based on a deep understanding of patient behavior.  We analyze massive amounts of data, develop models, and create tools.  We consistently push the envelope through ongoing research.  In addition, we publish, give talks, participate in chair conferences, and conduct tutorials.

What We Offer

Custom Analyses Tailored to Individual Client Needs

Sales Force Operations:

Sales Force Operations

  • Reach & Frequency
  • Influence Mapping
  • Physician and Patient Level Promotion Response
  • Segmentation and Targeting
  • Promotional Mix Optimization
  • Sales Response to Promotion
  • Sample Optimization
  • Sizing and Alignment
  • Incentive Compensation

Sampling Optimization

  • Physical and Electronic Samples
  • Who to sample, at what level, and how frequently
  • Leveraging Synergies with Call Plan
  • Trade-off between Cannibalization and Initiation
  • Identifying Sampling through Patient-Level Data
  • Sampling Optimization on Group Practice Level

Hospital-Retail Spillover

  • Spillover of Individual Hospitals
  • True Value (DDD + Spillover)
  • Neighborhood Definition based on Actual Patient Data (sensitive to Disease State)
  • Economic Climate in Neighborhood
  • Enhancing Spillover through Hospital vs. Retail

PLD for Marketing:

Boltzmann Machine

  • Forecasting and Simulation of Individual Behavior
  • Patient and Physician Behaviors as Context-Sensitive Boltzmann Distributions
  • Behavior Modification Operators
  • 3-Player Game: Physician, Patient, and Pharma
  • Lifetime Value of Patients, DTC vs. DTP Optimization, ROI
  • Segmentation and Targeting

Compliance & Persistence

  • Patient and Physician Segmentation
  • Measurement of Impact of C&P Programs
  • Drug Holidays, Down Dosing, Drug Escalation, Early Fill
  • Impact of Co-Pay and Drug Formulation
  • Consumption vs. Prescription
  • Tracking Individual Behavior

KOL & Molecular Targeting

  • Building Social Networks Using Patient-Level Data
  • Movements, Referral, Returns, Patient Sharing, Sphere of Influence
  • Hub-Spoke Structure, Virtual Group Practices
  • Value of a Referral
  • Geographic Footprint of a Molecule

Bayser Offering Also Includes:

Bi-Annual Tutorials (On-Site, in Philadelphia)
Data Vendor Recommendations
Market Assessment
Custom Mapping
Data Scrubbing
Custom Tool Development

At Bayser, we publish extensively on patient-level data and its’ applications:

Publications

Pharmaceutical Executive
Medical Marketing & Media
Pharma Marketing News
Journal of Longitudinal Data
Journal of AMCP
Pharmaceutical Representative
Product Management Today

Conferences

PMSA, PMRG, PBIRG, IIRUSA, Med Ad News, PEA, CBI, SRI, MSL

Conferences Chaired

CBI, June 2003 (Organizer/Chair)
CBI, Nov 2003 (Organizer/Chair)
PEA, Mar 2004 (Chair)
SRI, Nov 2005 (Co-Chair)

 

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