• Pharmacy chain
    Sale In

Constantly operating research of pharmaceutical products purchases by the retail market members of Belarus.



Purchases of all
pharmaceutical products

  • by pharmacy chains in money and packaging



  • Data extrapolation from the representative sample to the general population
  • Cluster analysis.
  • Hierarchical models.


Research categories:

  • Drugs;
  • Medical devices;
  • Supplements;
  • Cosmetics.


Research geography:

  • Belarus – national level

  • 7 regions of Belarus
  • 9 regions of Minsk
  • regional centers by administrative district
  • 107 districts of Belarus
  • 18 district centers


Test indicators:

  • consumption volumes in money and natural terms, sell-in prices, DDD, the minimum natural unit (tablet, vial, ampoule, etc.)


Test integral

  • Grouped by brands,
    corporations, manufacturers, АТС classification, NFC, EphMRA, INN, OTC/Rx.Category classification – Dietary supplements, Cosmetics, Medical devicess;
  • Cumulative MAT, YTD, MQT;
  • Comparative – previous period growth,
    same period of last year;
  • Share – market share, share in
    competitive groups etc.

Data update rate:

Information reporting term:




Data reporting form

  • Internet-access for an unlimited number of users in the QlikView dashboard interface

  • Ability to split access level

  • Comparative groups supporting

Features and benefits:

Regular monitoring of retail consumption dynamics in the context of competitive markets of the company
Providing dynamics analysis of retail consumption due to support of structural and regional division of the company
Data integration with researches of advertising activity on television (monitoring of TV advertising).
Each medical representative contribution calculation to the overall company sales result. Sales and market share assessment onsite of each medical representative
Market analysis according to price niches. Segmentation for high-, medium-, low-cost drugs.
Market and divisions development forecasting, calculation the demand of elasticity, drug launches effectiveness, etc.
Data depth since 2013