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analytics
Data analytics covers collecting, processing, and analyzing information on client interactions to identify trends, evaluate the effectiveness of marketing campaigns, and make informed business decisions.
- Sales volume: Data on the number of units sold and total revenue.
- Geographic analysis: Sales analysis by region, city, and other territorial units.
- Demand forecasting: Using historical data and machine learning models to predict future sales volumes.
- Market analysis: Comparing your own sales with competitors' sales, and analyzing market trends and forecasts.
Drug sales, purchases, and stock
- Contact activity: The number and duration of contacts with physicians and pharmacies.
- Meeting effectiveness: How often deals are closed after client meetings.
- Client feedback: Client satisfaction with the medical representative's work.
- Qualifications and training: Analysis of the effectiveness of staff training and development programs.
Medical representative performance
- Satisfaction level: Research into client satisfaction with service and product quality.
- Claims: Studying the causes and frequency of complaints and claims.
- Client loyalty: Identifying the factors that drive repeat purchases and product recommendations.
Client service quality
- Advertising spend: Monitoring marketing costs and comparing them with sales results.
- Target audiences: Identifying the population groups that can be reached most effectively.
- Advertising channels: Choosing the most effective media channels to promote a product.
Marketing campaign effectiveness
contacts
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