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

Interface shown in English for illustration.

We are open to collaboration and always ready to discuss your projects and ideas.

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